The Modern Systems Audit 1. Executive SummaryThree Goals for This AuditThe Core Question Being Answered2. Current State AssessmentCompany SnapshotWhat's Working Well (Strengths)Critical Gaps Preventing ScaleTeam Capacity AnalysisTechnology Stack3. Prioritized Analysis🔴 CRITICAL PRIORITY (0-30 Days)Issue #1: Operations as Fulfillment - Faith's Dual Role (Director + Largest Client)Issue #2: Proposal→Agreement Drop-Off (50% Conversion)Issue #3: Manual Reporting Consuming Monday-Wednesday🟡 HIGH PRIORITY (30-90 Days)Issue #4: Sales→Operations Handoff BreakdownsIssue #5: Reactive Hiring vs. Proactive Capacity PlanningIssue #6: Brian as Bottleneck on All Proposals/AgreementsIssue #7: Excessive Review Cycles (3-4 Rounds per Deliverable)Issue #8: Centralized Knowledge System MissingIssue #9: Lack of Quarterly Planning Cadence🟢 MEDIUM PRIORITY (90-180 Days)Issue #10: Inconsistent Executive Communication to ClientsIssue #11: MailChimp vs. HubSpot Email Marketing InefficiencyIssue #12: Limited Creative Resource CapacityIssue #13: Sales Commission Structure SubjectivityIssue #14: Meeting Overload (Faith's Mondays: 9 Meetings, 9:30am-2pm)Issue #15: Strategy Documentation & Knowledge SharingIssue #16: No Strategic Time Block for BrianIssue #17: Attention to Detail Issues (Recurring Mistakes)Issue #18: Manual Task Creation & No Template Kickoffs🔵 LOW PRIORITY (180+ Days)Issue #19: Small Deal Revenue Left on Table4. Scaling to $5M: Systems RequiredThe $5M Vision (3 Years)Pre-Requisites: What Must Exist Before We Scale4. The Company OS Solution: How Notion + AI Gets BEM To It’s Goal FasterWhy This Matters for BEMHow Company OS Solves Your Top 8 PrioritiesThe Compounding Effect: How These Solutions StackCompany OS Success Rate: 85-92%The Google Workspace AlternativeProjected Comparison (Estimated)What This Looks Like in Day to Day…What Success Looks Like in 12 Months…5. Next Steps & Engagement OptionsReady for next step?Important Context for This Audit
The Modern Systems Audit
A Strategic Audit for Smarter Systems and Sustainable Growth
Prepared for Bauer Entertainment Marketing by Modern Operators | December 2025
1. Executive Summary
Three Goals for This Audit
Goal 1: Enable Faith's Transition to Full Director of Operations
- Current state: Faith splitting time between largest client + leadership role
- Desired state: Faith operating proactively as integrator, owning organizational growth
- Key challenge: "Working more proactively, logically, less emotionally"
Goal 2: Create Confidence to Scale Sales Without Breaking Operations
- Current state: "Tapping the brakes" on sales due to capacity concerns
- Desired state: Operations can confidently handle 2x revenue growth
- Key challenge: 50% drop-off between proposal → agreement (your "magic wand" fix)
Goal 3: Free Brian from Tactical Bottlenecks to Focus on Strategic Vision
- Current state: Brian at 7-8/10 autonomy, still reviewing all proposals/agreements
- Desired state: Brian focused on strategic priorities (AI integration, acquisitions, business health)
- Key challenge: Extracting from proposal reviews, especially sub-$20K deals
The Core Question Being Answered
"What don't we know that we don't know? What's preventing us from confidently scaling from $2.5M to $5M without breaking?"
2. Current State Assessment
Company Snapshot
- Current Revenue: $2.1M (2024 actual, target was $2.5M)
- Three-Year Target: $5M revenue at 15-20% profit margin
- Client Portfolio: Top 10-15 clients = 80-90% of revenue
- Competitive Position: Strong niche in entertainment/live events marketing
What's Working Well (Strengths)
Operations & Delivery
- 95% of clients achieving positive ROAS
- Strong renewal rates (exceeded annual goals)
- Comprehensive SOPs in Google Docs with master index
- Buddy system for new hires
- Operations runs 8-9/10 without Brian's involvement
Sales & Business Development
- 52% close rate after initial call
- 80-90% close rate after agreement stage
- "Amplify Audit" ($995) effective foot-in-the-door offer
- Cash-forward strategy (20-30% discounts) creating flywheel effect
- Profit First + CAC/COGS/LTV measurement implemented
Team & Culture
- Strong culture fit (recent toxic team member addressed swiftly)
- High-performers who are passionate and motivated
- Leadership team: Founder, Ops Director, Sales Manager, Ad Ops Lead, Content Lead, Account Coordinators Lead
Financial Management
- Exceeding profitability targets despite revenue shortfall
- Implemented structured pricing ($155-$165/hour per service)
- Capacity tracking via equivalent hours per client
Critical Gaps Preventing Scale
Sales-to-Operations Handoff
- 50% drop-off between proposal → agreement stage
- Ops sometimes unaware of platform changes that sales committed to
- Insufficient time to connect BizDev → PM before client kickoff
- Scope/expectation misalignment when handoff rushed
Manual Reporting Burden
- Monday-Wednesday consumed by manual data collection
- Multiple team members pulling numbers from disparate platforms
- Blocks strategic thinking and proactive optimization
- Different scorecards across departments (not unified)
Information Accessibility
- 70% of info accessible, 10-15% search failure rate
- "Too many SOPs" in scattered Google Docs
- No centralized knowledge system
- SOP ownership unclear after recent team member departure
Role Redundancy & Review Cycles
- PM → Coordinator → Specialist → Client (multiple review layers)
- 48-hour review SOP now compressed due to timeline pressure
- Brian as final reviewer on all proposals/agreements (even <$20K)
- Unclear decision-making authority at coordinator level
Reactive vs. Proactive Operations
- 6 months of bandwidth concerns, repeatedly "tapping the brakes"
- Hiring happens after capacity crisis, not before
- No pipeline-to-capacity forecasting model
- Leadership stretched too thin (Faith on largest client, Amanda at capacity)
Inconsistent Executive Communication
- Client updates vary wildly (no data vs. data overload)
- No standardized "low/medium/high detail" framework
- Weekly/bi-weekly cadence inconsistent across accounts (low)
- Some clients frustrated by technical jargon (low)
Team Capacity Analysis
At Capacity Right Now:
- Faith (Director of Operations) - managing largest client + leadership
- Amanda (Ad Ops Lead) - 15-20 clients, reviews backing up
- Alyssa (Senior Account Manager) - bandwidth concerns for 6 months
What Would Break First if Revenue Doubled:
- Operations/Fulfillment - Team would "break" immediately
- Proposal-to-Agreement Process - BizDev far less developed than ops
- Brian's Review Capacity - Already bottleneck on proposals/agreements
Technology Stack
Current Tools:
- CRM: HubSpot (sales only, ops doesn't use it)
- Project Management: ClickUp
- Communication: Slack (internal), Email (client-facing)
- Documentation: Google Drive (Docs, Sheets, Slides)
- Email Marketing: MailChimp (not integrated with HubSpot)
- Design: Canva, Adobe Suite
- Ad Platforms: Meta, Google, TikTok
- AI: Custom GPTs for clients, ChatGPT for team
Tool Gaps:
- No centralized workspace or knowledge base (beyond scattered Google Docs)
- No unified reporting dashboard
- No proposal automation software
- MailChimp/HubSpot disconnect creates manual lead scoring
- Ops team never trained on HubSpot
3. Prioritized Analysis
Issues ranked by impact on your three audit goals: (1) Faith's transition to full Director role, (2) Scaling sales without breaking operations, (3) Brian's extraction to strategic work
Priority Legend:
🔴 CRITICAL (0-30 days): Direct blockers to growth, "magic wand" fixes, revenue impact
🟡 HIGH (30-90 days): Cross-team bottlenecks, capacity constraints, leadership extraction
🟢 MEDIUM (90-180 days): Efficiency improvements, culture shifts, quality enhancements
🔵 LOW (180+ days): Nice-to-haves, minor optimizations, long-term investments
🔴 CRITICAL PRIORITY (0-30 Days)
Issue #1: Operations as Fulfillment - Faith's Dual Role (Director + Largest Client)
Description: Faith (Director of Operations) currently splits time 50/50 between leading operations and managing the company's largest client (Cerritos - 90-show performing arts venue, full-service scope). She "hasn't stepped into director role fully, ever" in 2.5 years since promotion. This dual role creates fundamental misalignment: Operations should be the strategic function that makes everyone more productive. Ops is doing the job of Fulfillment and Ops. Ops and fulfillment should be separate.
Coaching Brian & Faith: Enabling Faith's Transition to Full Director Role
Being transparent…
Brian: You've been promising Faith this transition for 2.5 years. Every 6 months you say "next 6 months." She's working early mornings, late nights, and weekends trying to prove she can handle both roles—but the dual role itself is what's preventing her growth. You're asking her to develop director-level strategic thinking while drowning in the tactical demands of a 90-show client. That's like asking someone to learn to swim while holding a 50-pound weight.
Faith: You're in an impossible situation. You cannot become the strategic, proactive leader Brian wants while managing the company's largest client AND reviewing everything AND attending 9 back-to-back Monday meetings AND writing performance plans AND covering for people on PTO. You're trying to earn your way out of the dual role through perfect execution—but perfect execution of an impossible workload just proves you can survive chaos, not that you can lead strategically.
The Hard Truth You Both Need to Hear
Brian: Faith is not the obstacle to your vision—your inability to let go is. You built a company where everything flows through you, then hired someone to be you, and now you're frustrated she thinks like you (reactive, perfectionist, can't delegate). If you want her to be different, you have to be different first.
Faith: You are capable of being the strategic leader Brian needs—but you'll never prove it while drowning in the dual role. Stop trying to earn the promotion through perfect execution. Start acting like the director you already are by advocating for the conditions you need to succeed.
Coaching for Brian
1. The Brutal Truth: You Are the Bottleneck and Fixer to Faith's Growth
Faith's problem isn't that she works "reactively and emotionally." Her problem is that you've given her two full-time jobs and measured her readiness for one of them while she's drowning in both.
Consider this data:
- Faith works early mornings, late nights, weekends
- She has 9 meetings every Monday (9:30am-2pm)
- She manages all PMs, reviews all deliverables, handles largest client
- She's been in "transition" for 2.5 years with no actual transition
What this reveals: You intellectually want Faith to step up, but your actions show you're not committed to creating the conditions for her success.
Your coaching homework:
A. Make an irreversible commitment with a deadline
- Set a firm date (I recommend 60 days from your Jan 9 planning meeting) when Faith will be 100% out of client work
- Hire the replacement PM now (not when you "find the right person")
- Announce it to the team publicly so there's accountability
- Put it in writing to Faith with the transition plan
B. Stop reviewing Faith's reviews
- You review proposals/agreements
- Faith reviews deliverables for all clients
- This creates a dependency loop where Faith mirrors your "I can't let go" behavior
Action: For 30 days, completely step back from reviewing anything Faith has approved. Track:
- How many client issues occur
- How many are actually catastrophic vs. your anxiety
- What Faith learns from handling those issues
C. Audit your own language
Faith needs to work "more proactively, logically, and less emotionally"—but consider:
- Is she reactive because she's responding to your last-minute requests?
- Is she emotional because she's working unsustainable hours with no clear path out?
- Is she tactical because that's what you're measuring her on?
You're holding her accountable for outputs she can't possibly deliver given the inputs you control.
2. Redesign Faith's Role Architecture (Not Just Remove Client Work)
Simply removing Cerritos from Faith's plate won't magically make her strategic. You need to redesign what she spends her time on.
Current Faith Time Allocation (estimated):
- 40% Client work (Cerritos)
- 30% Reviews/QA for all other clients
- 20% Meetings (1-on-1s, huddles, catch-ups)
- 10% Actual director work (hiring, planning, systems thinking)
Target Faith Time Allocation:
- 0% Client work
- 10% Reviews (only escalations, not routine QA)
- 30% Meetings (strategic coaching, not status updates)
- 60% Director work:
- Capacity planning & hiring pipeline
- Process optimization & automation
- Team development (coaching PMs to coach coordinators)
- Cross-functional coordination (sales→ops handoff)
- Strategic planning & roadmap
3. Model the Behavior You Want to See
Faith mirrors you. If you review everything, she reviews everything. If you stay in tactical work, she stays in tactical work.
Faith needs to see that letting go doesn't cause disaster…it creates capacity for higher-leverage work. You can't coach her to do what you're unwilling to model.
Impact:
- Faith working "early mornings, late nights, and weekends just to keep head above water"
- Operations lacks full-time strategic leadership to optimize systems across company
- Bottleneck in review process (Faith = final eyes on most deliverables before client delivery)
- Onboarding inconsistencies (recent example: forgot kickoff call invite for new client)
- Brian can't fully extract because Faith isn't fully in integrator role
- Company treats operations as "client delivery" instead of "productivity multiplier"
Root Cause:
- No senior PM available to take over Cerritos account
- Largest client requires senior-level attention and relationship management
- Transition timeline keeps getting pushed ("next 6 months" for 2+ years)
- Reactive hiring prevents planning for Faith's transition
- Fundamental misunderstanding of what Operations should be: Operations should help drive 2-5x team output and efficiencies, not just deliver client work
Cost of Inaction:
- Leadership gap: Operations lacks full-time strategic focus on systems, processes, capacity planning
- Burnout risk: Faith's pace is highly unsustainable (nights/weekends ongoing)
- Growth constraint: Can't scale operations without dedicated Director
- Brian's extraction blocked: He stays involved in ops because Faith is stretched
- Compounding inefficiency: Every team member could be 2-3x more productive if Operations focused on optimization vs. fulfillment
Recommended Change:
Give Faith a scorecard for director-level work
Faith's Director KPIs (New Scorecard as a sample):
Q1 2026 (Jan-Mar):
- Successfully transition Cerritos to new PM (measured by client retention + new PM confidence rating)
- Reduce average review cycles from 3-4 to 2 or less
- Implement proactive hiring pipeline (maintain 2-3 warm candidates for PM/Coordinator roles)
- Document 5 cross-account strategy wins (tag which accounts, what was tested, results)
Q2 2026 (Apr-Jun):
- Reduce Monday-Wednesday reporting time from 3 days to 1 day (via automation)
- Increase PM autonomy score (survey: % of decisions PMs make without Faith approval)
- Launch 1 major process optimization (sales→ops handoff, SOP accessibility, etc.)
- Zero client escalations due to internal team capacity issues
Why this works:
- Concrete, measurable outcomes (not "be more strategic")
- Forces Faith to work on the business, not in it
- Gives you both a shared definition of success
Or 90-Day Transition Plan:
Month 1 (Days 1-30): Prepare for Transition
- Week 1-2: Brian commits to promoting/hiring Senior PM in January 2026 (non-negotiable decision)
- Week 3-4: Faith documents Cerritos playbook (client personality, processes, gotchas, relationship history)
- Week 3-4: Identify PM successor (promote internally OR external hire)
- Week 4: Job description finalized, recruiting begins if external hire needed
Month 2 (Days 31-60): Shadow & Transition
- Week 5-8: New Senior PM shadows Faith on Cerritos for 4 weeks
- Faith transitions as primary contact…PM increasingly takes lead
- PM attends all Cerritos meetings, learns client communication style
- Faith coaches PM on decision-making, client expectations, team coordination
Month 3 (Days 61-90): Full Handoff
- Week 9-10: PM owns Cerritos, Faith in support role only
- Week 11-12: Faith fully transitioned to Director-only work
- Faith reclaims 20-25 hours/week for strategic operations work
New Operations Focus (Post-Transition):
Instead of managing clients, Faith focuses on:
- Capacity Planning & Forecasting - Pipeline→hiring triggers, proactive staffing model
- Process Optimization - Reduce review cycles, eliminate manual reporting, streamline workflows
- Systems & Automation - Reporting dashboards, knowledge base, proposal automation
- Team Development - PM coaching, coordinator advancement, performance management
- Quality Systems - Reduce errors upstream (intern program redesign, QA process improvements)
- Cross-Team Coordination - Sales→Ops handoffs, resource allocation, bandwidth visibility
Owner: Brian (commitment + hiring approval) + Faith (transition execution) + HR (recruiting)
Why Do This:
- Unlocks Goal #1 (Faith's transition to full Director role)
- Enables Goal #3 (Brian's extraction - can't happen until Faith is freed)
- Addresses 6-month bandwidth crisis (Faith can focus on capacity planning)
- Redefines Operations - From "another client team" to "force multiplier for entire company"
- Faith's director work worth more than account management
- Operations that optimizes systems can 2-5x entire team's output
Effort: 12 weeks (must start NOW)
- Week 1-4: Hire Senior PM (20 hours recruiting/interviewing)
- Week 5-8: Onboard + shadow Faith on Cerritos (40 hours Faith's time)
- Week 9-12: Gradual transition, Faith QA only (20 hours overlap)
Projected Win:
- Faith reclaims 20-25 hours/week for director responsibilities
- Onboarding improvements: Consistent process, no details forgotten
- Proactive operations: Faith focuses on capacity planning, process optimization, team development instead of client delivery
- Brian's extraction unlocked: Faith can own ops without him
- Productivity multiplier: Operations that focuses on systems can 2-5x output of every team member
Issue #2: Proposal→Agreement Drop-Off (50% Conversion)
Description: Half of all proposals fail to convert to signed agreements, despite 80-90% close rate after agreement stage. Brian identified this as his "magic wand" fix.
Impact:
- Direct revenue blocker preventing achievement of $2.5M target (currently $2.1M)
- Sales pipeline stalls at proposal stage, not agreement stage
- Doug spending time on proposals that don’t convert
Root Cause:
- Gap between proposal delivery and agreement signing creates decision paralysis
- No structured follow-up sequence (manual, inconsistent follow-up)
- Proposal→Agreement is too big a leap with no intermediate commitment step
- Manual proposal creation takes 45-60 min, delays response time
Cost of Inaction:
- Revenue: If conversion improved from 50% to 65%, that's 30% more closed deals = $315K-$630K additional annual revenue at current pipeline volume
- Opportunity: Every percentage point improvement = ~$21K in additional revenue
- Team morale: Doug frustrated by wasted proposal effort on deals that ghost
Recommended Change:
- 1. Implement a Structured Post-Proposal Nurture Sequence
Currently: Send proposal → hope for response → maybe follow up
Better approach:
- Day 1-3: Automated email asking engagement question (not "did you review it?" but "which part resonates most—digital advertising strategy or email marketing approach?")
- Day 4-7: Personal Loom video from Doug (90 seconds walking through the 3 things that will move the needle fastest for their specific event)
- Day 8-14: Case study email showing similar client results + soft urgency ("our September calendar has 2 slots remaining")
- Day 15-21: Phone call with permission-based close-out: "Before I take you off our list—is this timing, budget, or something in the proposal that's not aligned?"
Why this works: Provides value at each touchpoint without being pushy, keeps you top-of-mind during their decision window.
2. Add a "Micro-Commitment" Between Proposal and Agreement
The proposal→agreement leap is too big. Insert a middle step:
After proposal review call: "Before we move to agreement, let's schedule a 20-minute strategy session where we'll map out your first 30 days with us. This ensures we're 100% aligned before you commit."
On that call:
- Walk through Week 1 (onboarding), Week 2 (asset gathering), Week 3 (campaign build), Week 4 (launch)
- Make it visual (share ClickUp or Notion timeline or simple roadmap)
- Address lingering concerns in context of "here's exactly how we'd handle that"
- End with: "Does this plan make sense for your timeline? If so, I'll send the agreement today."
Impact: Reduces perceived risk, surfaces objections while Doug is still there to address them, creates a second close opportunity.
3. Redesign the Proposal-to-Agreement Document Flow
Current inefficiency: Proposal gets approved mentally → still need to review/sign separate agreement → creates friction
Option A - Hybrid Proposal-Agreement:
- Single document with Strategy (what/why) + Investment + Sign Here section
- Use integrated e-signature tool
- When they're ready, they sign on the spot (eliminates "send me the contract" delay)
Option B - Modular Proposal System:
Build a proposal library in a tool like Notion with:
- Core sections (always same): Company intro, case studies, process
- Service modules (mix/match): Digital ads, email marketing, social media
- Dynamic elements (auto-populate): Client logo, event type, KPIs
Doug's workflow becomes:
- Select service modules needed (5 min)
- Add dynamic elements (10 min)
- Customize strategy narrative (20 min)
- Export with e-signature field built in
Time savings: 60 min → 35 min per proposal, removes agreement creation as separate step.
4. Leverage the Amplify Audit as a Conversion Bridge
Current gap: Audit ends → hope they upgrade → no formal bridge
Better approach:
End of audit: "Based on findings, I'd recommend we prioritize [Strategic Opportunity #1] and [Strategic Opportunity #2] to hit your [ticket sales goal]. I'll put together a 4-month engagement proposal focused on those. Does that align with your thinking?"
Get verbal "yes" BEFORE spending time on proposal.
Why this works: Audit creates loss aversion (they now know what they're missing), proposal becomes solution to problems they already acknowledged, verbal alignment = higher conversion.
Owner: Doug (BizDev Manager) + Brian (approval on sequence design)
Why Do This:
- Brian's #1 "magic wand" fix
- Removes friction in buying process without requiring ops capacity
- Measurable improvement (track proposal→agreement % weekly)
- Quick to implement (email sequence = 4-6 hours to build in HubSpot)
Effort: 2-3 weeks (8-12 hours total)
- Week 1: Design email sequence + strategy call framework (4 hours)
- Week 2: Build in HubSpot + test with 2-3 prospects (4 hours)
- Week 3: Train Riley, document SOP (2 hours)
Projected Win:
- 60-day target: Improve conversion from 50% → 60% (10 percentage points)
- 90-day target: Improve conversion to 65%+ (sustained)
- Revenue impact: $157K-$315K additional closed deals in next 6 months
- Time saved: Doug saves 15-20 hours/month on proposals that convert higher
Issue #3: Manual Reporting Consuming Monday-Wednesday
Description: Team spends 3 days (Mon-Wed, sometimes extending to Thursday) manually pulling KPI data from Facebook, Google, social platforms and entering into Google Sheets. "Good majority of my job is spent pulling numbers" - Alyssa
Impact:
- 40-60 hours per week consumed across team (Alyssa, Faith, PMs, coordinators)
- Strategic thinking blocked until Thursday
- Proactive optimization delayed or skipped
- Team frustration: "supposed to be 1 day, takes 3 days"
Root Cause:
- No automated dashboard pulling data from ad platforms
- Manual data entry creates errors requiring multiple review cycles
- Cost concerns have prevented dashboard adoption (Faith: "cost has been limiting factor")
- Reporting process designed for smaller company scale
Cost of Inaction:
- Labor cost: 50 hours/week × 48 weeks × $50/hr blended rate = $120,000/year in manual labor
- Opportunity cost: 50 hours/week = 1.25 FTE capacity that could serve 2-3 more clients
- Strategic cost: PMs in "reactive" mode Wed-Fri vs. proactive optimization
- Quality risk: Manual entry errors lead to client trust issues
Recommended Change:
- Phase 1 (30 days): Pilot automated dashboard with 1-2 clients (Supermetrics + Google Data Studio, AgencyAnalytics, or custom)
- Phase 2 (60-90 days): Roll out to all clients with tiered templates (Tier 1/2/3)
- ROI Calculation: $300/month tool cost vs. $10,000/month labor cost = 33x ROI in Year 1
Owner: Faith (Operations Director) + Alicia (Ad Ops Lead for technical setup)
Why Do This:
- Mentioned by 2 of 6 staff interviews as #1 time-saver
- Unlocks 40% of PM capacity for strategic work or new clients
- Reduces review cycles (automated data = fewer errors)
- Creates capacity to scale without hiring
Effort: 4-6 weeks (12-16 hours)
- Week 1-4: Research tools, select vendor, pilot setup with Cerritos (8 hours)
- Week 4-8: Evaluate pilot, build templates for other client tiers (4 hours)
- Week 8-12: Train team, roll out to all clients (4 hours)
Projected Win:
- Immediate: 3-day process → 4-hour review process (40 hours/week reclaimed)
- 90-day target: All clients on automated dashboards
- Capacity gain: Equivalent of 1-1.5 FTE = ability to serve 2-3 more clients without hiring
- Quality improvement: Error rate reduction from human data entry elimination
🟡 HIGH PRIORITY (30-90 Days)
Issue #4: Sales→Operations Handoff Breakdowns
Description: Information loss at handoff creates scope surprises, resource mismatches, and client expectation gaps. "Sometimes things are promised that don't work out operationally" - Faith. Example: 45 posts/week account not flagged for extra support.
Impact:
- Ops team unaware of platform changes affecting delivery
- Insufficient time to connect BizDev→PM before client kickoff
- Scope misalignment discovered mid-engagement
- Client expectation issues from day one
Root Cause:
- BizDev operates at high-level strategy, Ops handles implementation details
- No complexity scoring system to flag high-touch accounts
- HubSpot used by sales only - Ops never trained on it
- Manual "instruction manual" handoff process, sometimes skipped when busy
Cost of Inaction:
- Rework: Scope changes mid-engagement waste 5-10+ hours per account
- Client satisfaction: Expectation misalignment damages retention
- Team friction: Ops feels blindsided, BizDev feels constrained
Recommended Change:
- Create "Deal Pre-Flight Checklist" in HubSpot (complexity scoring: Low/Medium/High)
- Mandatory Sales→Ops handoff call for Medium/High complexity deals (30 min)
- Build "Ops Capacity Dashboard" visible to Doug (traffic light system: green/yellow/red)
- Define Standard Scope Packages (Tier 1/2/3) with known resource requirements
- Add Sales Engineer Role: Doug operates at high-level strategy; consider adding "Sales Engineer" or cross-training Ops team member to bridge BizDev and technical scoping (understands both what's sold AND how it's delivered)
- Pipeline Visibility for Ops: Give Faith/Ops read-access to HubSpot pipeline with "Prospect Stage" and "Client Stage" visibility so teams can prep and plan accordingly
- Fulfillment Cycle Transparency: Make ad builds, content production, and review cycles visible to everyone (not just siloed in Ops) so BizDev understands delivery timelines when scoping
Owner: Doug (BizDev) + Faith (Ops) - joint ownership
Why Do This:
- Prevents "tapping the brakes" surprises (Doug can see capacity in real-time)
- Reduces scope misalignment incidents from frequent → <2/month
- Makes operational impact visible to sales BEFORE close
- Creates shared language between BizDev and Ops
Effort: 4-6 weeks (10-12 hours)
- Week 1-2: Design complexity checklist + capacity dashboard (4 hours)
- Week 3-4: Implement in HubSpot + Google Sheets/shared space (4 hours)
- Week 5-6: Train team, test on 3-5 deals, refine (3 hours)
Projected Win:
- Handoff call completion: 100% for Medium/High complexity deals
- Scope misalignment incidents: Reduce from unknown baseline to <2/month
- "Can we take this client?" questions: From multiple/week → <1/month
- Faith's time saved: 5 hours/month on firefighting misaligned accounts
Issue #5: Reactive Hiring vs. Proactive Capacity Planning
Description: "We've been fighting for probably the past six months not having enough people" - Alyssa. Hiring happens after capacity crisis, not before. "Client signs next week, hire by next week" - Faith.
Impact:
- 6 months of repeatedly "tapping the brakes" on sales
- Team burnout (August-October: all PMs at 40+ hours)
- Scramble hiring leads to poor culture fits (recent toxic team member example)
- Lost revenue opportunities from constrained sales
Root Cause:
- No leading indicators for hiring triggers
- Pipeline visibility doesn't translate to capacity forecasting
- Waiting for revenue to fund hires (lagging indicator)
- No bench of pre-qualified candidates maintained
- Low Quality work from interns
Cost of Inaction:
- Lost revenue: "Tapping the brakes" for 6 months = $200K-$400K in declined opportunities
- Burnout risk: Team at 40+ hours unsustainable, increases turnover
- Bad hires: Reactive hiring = 50% longer to find right culture fit
Recommended Change:
- Establish hiring triggers based on pipeline: "3+ deals in proposal stage (Med/High) = activate hiring"
- Faith maintains "warm candidate pool" of 2-3 people at all times
- Quarterly recruitment sprints (not waiting until desperate)
- Doug shares weekly pipeline forecast with Faith (not just closed deals)
- Retainer Contractor Bench: Build bench of 5-10 contractors on retainer (PMs, coordinators, specialists) for rapid expansion without full-time overhead when big deals close
- Always-On Recruiting: Keep runner-up candidates warm from previous hiring rounds; touch base quarterly vs. restarting entire process
- Add Intern Onboarding “game” + Pilot to strengthen quality and replace interns quickly that don’t fit
Owner: Faith (capacity planning + recruiting) + Doug (pipeline visibility) + HR (candidate sourcing)
Why Do This:
- Moves hiring from lagging indicator (overwhelmed) to leading indicator (pipeline signals)
- Eliminates "tapping the brakes" on sales growth
- Improves culture fit (time to evaluate vs. desperation hiring)
- Unlocks Goal #2 (confidence to scale sales without breaking ops)
Effort: 6-8 weeks to establish + ongoing process
- Week 1-2: Define hiring triggers with Faith + Doug + Brian (3 hours)
- Week 3-4: Faith builds warm candidate pool process (4 hours)
- Week 5-8: Test triggers, make first proactive hire (10 hours)
- Ongoing: 2-3 hours/month maintaining warm candidate relationships
Projected Win:
- Hiring speed: From 6-8 weeks (scramble) → 2-3 weeks (proactive)
- Sales confidence: Doug can sell knowing capacity is expandable
- Team capacity: No more 6-month bandwidth crises
- Revenue unlocked: $200K-$400K in previously declined opportunities over next 12 months
Issue #6: Brian as Bottleneck on All Proposals/Agreements
Description: Brian reviews majority of proposals and agreements, including deals <$20K. "I would like to take myself out of that and not be a bottleneck" - Brian. Doug capable but Brian can't let go.
Brian, here's the truth you already know but haven't acted on: You're not stuck reviewing proposals because Doug isn't ready—you're stuck because you haven't designed the system that makes your review unnecessary.
You've successfully extracted yourself from operations (8-9/10 autonomy). You can do the same on the sales side. Here's how.
The Core Problem: You're Solving the Wrong Problem
You review proposals because you believe it ensures quality. But what you're actually doing is teaching your team that quality comes from Brian's approval, not from their own judgment.
The data:
- Business runs 7-8/10 without you overall
- Operations runs 8-9/10 without you
- Sales/BizDev runs lower without you
Why the gap? You've built systems in operations (SOPs, scorecards, role clarity, Faith's oversight). You haven't built equivalent systems in sales.
Your breakthrough: Stop asking "How do I review faster?" Start asking "What system would make my review unnecessary?"
Impact:
- Brian stuck in tactical work vs. strategic priorities (strategic planning, acquisitions, leveraged growth)
- Review delays slow sales cycle
- Doug can't operate autonomously on bread-and-butter deals
- Brian working IN the business, not ON it (Goal #3 blocked)
Root Cause:
- No defined "Good Enough" quality standard (Brian's standards in his head)
- Trust issue: "When I don't review, I find mistakes"
- No graduated approval authority by deal size
- Sales processes less developed than ops (7-8/10 vs. 8-9/10)
Cost of Inaction:
- Brian's time: 15-20 hours/month on <$20K reviews = $10K-$15K opportunity cost
- Strategic work delayed: AI integration, reporting optimization, acquisitions research on hold
- Doug's development: Can't grow into autonomous Sales Manager or Director
- Scale constraint: Can't 2x sales if Brian must review everything
Recommended Change:
- Define "Proposal Quality Checklist" (Critical/Important/Preference criteria) or Reverse-Engineer Your Review Process
For the next 10 proposals you review, track:
- How long did you spend? (likely 15-30 min each)
- What did you change? (pricing, scope, messaging, typos, nothing)
- How many changes were:
- Critical (would lose the deal or create client issue)
- Important (meaningful improvement but not deal-breaking)
- Preference (you'd say it differently but Doug's version works)
My prediction: 70%+ of your changes are Preference, 20% are Important, <10% are Critical.
- Implement Graduated Approval Authority:
- Tier 1: Doug autonomous
- Tier 2: Doug autonomous + 10% spot-check by Brian, reduced to zero over time
- Tier 3: Brian pre-approval required, reduced over time
- Key mindset shift: If Doug checked all Critical and Important items, approve it even if you'd write it differently. Track the outcome. Did the deal close? Did the client have issues?
- Brian Install "Friday Morning Visionary Time" block (9am-12pm, no meetings)
Owner: Brian (let go) + Doug (step up) + Faith (support Doug)
Why Do This:
- Directly unlocks Goal #3 (Brian extraction to strategic work)
- Brian reclaims 15-20 hours/month for AI integration, acquisitions, business health
- Doug develops into true Sales Manager (ownership breeds excellence)
- Creates scalability (Doug can review, train future BizDev team)
Effort: 90 days (gradual trust-building process)
- Week 1-4: Define quality checklist, Doug shadows Brian reviews (4 hours)
- Week 5-8: Doug leads reviews, Brian QA only (6 hours)
- Week 9-12: Doug autonomous on Tier 1/2, Brian reviews outcomes not inputs (2 hours)
Projected Win:
- Brian's review time: From 15-20 hrs/month → 5-7 hrs/month (70% reduction)
- Strategic work time: Brian gains 15-20 hours/month for visionary priorities
- Sales cycle speed: Eliminate 24-48 hour review delays on standard deals
- Doug's autonomy: 80% of deals closed without Brian involvement by Day 90
Brian Coaching Points — The Psychological Shift You Need to Make
Brian, you're a recovering implementer. You like reviewing proposals because it gives you control and certainty. Here's what you need to internalize:
1. Perfection is the Enemy of Scale
Your reviews make proposals marginally better. But they also:
- Cap Doug's growth (he never learns to trust his judgment)
- Limit deal velocity (proposals wait in your queue)
- Keep you tactical (can't think about AI strategy while editing proposals)
Ask yourself: Would you rather have 100% perfect proposals and stay at $2.5M, or 90% good-enough proposals and get to $5M?
2. Mistakes Are Tuition, Not Failure
You told me: "If they're not making mistakes, they're not trying hard enough."
Apply that to Doug. Let him send a proposal you'd have tweaked. If the deal doesn't close, coach him in the post-mortem. That's how he levels up.
The fastest way for Doug to become autonomous isn't more of your feedback…it's the responsibility of owning outcomes.
3. Your Highest Leverage Is System Design, Not Execution
Low-leverage Brian: Reviews 50 proposals/year, ensures each is "Brian-quality"
High-leverage Brian: Builds the proposal system (templates, checklist, approval tiers, Doug training), then Doug handles 50 proposals/year at 90% Brian-quality while Brian focuses on AI integration and acquisitions
Issue #7: Excessive Review Cycles (3-4 Rounds per Deliverable)
Description: "100% agree excessive" - Faith on 3-4 review cycles. Flow: Intern drafts → Coordinator reviews → Specialist reviews → Faith final approval. Driven by unpaid intern quality issues.
Impact:
- 25-50 hours/week consumed in review cycles across team
- Timeline pressure: 48-hour SOP now compressed
- Faith bottlenecked as final reviewer on everything
- Team frustration: "Still finding mistakes by the time it gets to me"
Root Cause:
- Unpaid interns lack incentive/capacity for quality (school, part-time jobs)
- Using interns for client-facing work creates quality debt
- No quality checklist before submission (catching typos, not strategy)
- Faith feels she MUST review or mistakes slip through
Cost of Inaction:
- Labor cost: 35 hours/week × 48 weeks × $45/hr = $75,600/year in review time
- Capacity cost: 35 hours/week = 0.875 FTE that could do strategic work
- Faith's bottleneck: Can't focus on director work while reviewing everything
Recommended Change:
- Option A (Recommended): Remove interns from client-facing deliverables
- Interns: Internal projects only (data entry, research, SOP updates)
- Coordinators: Take over first drafts (correct the first time)
- New flow: Coordinator drafts → Specialist approves (2 people, done)
- Option B (If keeping interns): Mandatory QA checklist before submission
- Grammarly check, brand voice verification, placeholder check, link testing
- Reviewer focuses on strategy, not catching typos
- Client Approval Deadlines - Add language to agreements: "Client has 48 hours to provide feedback; delays push delivery timeline accordingly" (reduces pressure to rush reviews)
- Gamified Intern Onboarding - Create Notion-based onboarding game where interns do the work to learn vs. reading 54 SOPs
- Intern Pilot Program - Implement pilot to get confidence in the right hiring and be prepared to let go quickly and replace as needed
- Intern Pilot Program - Test paid intern model with 1-2 interns to measure quality improvement vs. unpaid (may justify investment if reduces review cycles)
- AI Brand Voice Checker - Build custom GPT trained on each client's brand guidelines to auto-check content before human review (catch 80% of errors, humans focus on 20% strategic)
Owner: Faith (decision on intern role) + Alyssa (coordinator workflow) + Brian (approve intern program change)
Why Do This:
- Each eliminated review cycle = 30-60 min saved per deliverable
- 50 deliverables/week × 1 cycle removed = 25-50 hours/week reclaimed
- Faith freed from tactical QA to strategic director work
- Higher quality output (coordinators own it vs. fixing intern mistakes)
Effort: 2-4 weeks (decision + implementation)
- Week 1: Leadership decision on intern role change (2 hours)
- Week 2-3: Transition intern work to coordinators, adjust workload (8 hours)
- Week 4: Monitor quality, adjust as needed (3 hours)
Projected Win:
- Review cycles: From 3-4 rounds → 2 rounds maximum (50% reduction)
- Time reclaimed: 25-50 hours/week = 1-1.5 FTE capacity
- Quality improvement: Fewer client revisions (coordinators more accountable)
- Faith's capacity: 10-15 hours/week freed from tactical reviews
Issue #8: Centralized Knowledge System Missing
Description: "Too many SOPs" - 54 Google Docs hard to navigate. 10-15% search failure rate. "Sometimes overwhelming" - Faith. SOP ownership unclear after recent team member departure.
Impact:
- 15-25% of time spent searching vs. doing core work
- New team members overwhelmed during onboarding
- Tribal knowledge remains in people's heads despite documentation
- "SOP of the week" emails ignored by team
Root Cause:
- Google Docs format hard to search and navigate
- No single owner maintaining/updating SOPs
- Information scattered across Drive, Slack, ClickUp, HubSpot
- Documentation culture but no knowledge management system
Cost of Inaction:
- Search time: 6 team members × 3 hours/week × 48 weeks × $40/hr = $34,560/year
- Onboarding speed: 2-week onboarding could be 1 week with better system
- Decision delays: People wait for answers vs. finding them instantly
Recommended Change:
- Migrate to centralized knowledge base (Notion, Confluence, or custom)
- Build AI-queryable system ("How do I onboard a festival client?" → instant answer)
- Distributed SOP Ownership Model: Assign SOP ownership to ROLE, not individual person (e.g., "Ad Ops Lead owns all ad-related SOPs") - when role changes hands, SOP ownership transfers automatically
- Implement "search < 30 seconds" standard for any company information
- SOP Maintenance Schedule: Quarterly SOP review sprints where each owner updates their SOPs (built into role expectations, not ad-hoc)
Owner: Faith (knowledge base strategy) + IT specialist (technical implementation)
Why Do This:
- Reduces search time from 15-25% → 5% (10-20% capacity reclaimed)
- Faster onboarding (2 weeks → 1 week)
- Enables distributed decision-making (people find answers vs. asking)
- Scales knowledge as company grows (AI-powered vs. human memory)
Effort: 8-12 weeks (migration + training)
- Week 1-2: Select platform, design structure (6 hours)
- Week 3-8: Migrate 54 SOPs, assign ownership (20 hours)
- Week 9-12: Train team, build search habits, refine (8 hours)
Projected Win:
- Search time: From 15-25% → 5% of day (10-20% capacity gain per person)
- Onboarding speed: 2 weeks → 1 week (50% faster ramp time)
- Information accessibility: From 70% → 95%+ (reduce search failures from 10-15% → <2%)
- Interruptions: "Where is X?" questions reduced by 60-70%
Issue #9: Lack of Quarterly Planning Cadence
Description: Annual planning (Jan 9th), but no formal quarterly or mid-year check-ins. "Do we measure progress towards rocks? In our one-on-ones, but not systematically" - Faith.
Impact:
- Drift from annual goals without course correction
- Rocks tracked individually, not collectively reviewed
- No celebration of wins or adjustment of priorities mid-year
Root Cause:
- Partial EOS adoption (People Analyzer yes, Level 10 meetings no, quarterly planning no)
- Leadership team stretched thin, quarterly planning feels like "extra work"
- No forcing function to step back and assess
Cost of Inaction:
- Goal drift: Miss annual targets without knowing why until too late
- Team alignment: Departments working on misaligned priorities
- Missed opportunities: No quarterly recalibration based on market changes
Recommended Change:
- Implement Quarterly Planning Sessions (1 day offsite or deep focus day)
- Review: Prior quarter performance, wins/losses, lessons learned
- Plan: Next quarter priorities (top 3-5 rocks per department)
- Align: Cross-functional dependencies, resource allocation
Owner: Brian (vision) + Faith (execution planning) + Leadership team
Why Do This:
- Keeps team aligned to annual vision with quarterly checkpoints
- Creates forcing function for strategic thinking (not just tactical firefighting)
- Surfaces issues early (Q2 vs. Q4 when it's too late)
- Feedback cycles unlocks exponential scaling opportunities
Effort: 1 day/quarter (8 hours) + 2 hours prep
Projected Win:
- Goal achievement: Increase annual goal attainment from 60-85% → 90-95%
- Team alignment: Everyone knows top 3-5 priorities each quarter
- Course correction: Catch and fix issues in Q2, not Q4
🟢 MEDIUM PRIORITY (90-180 Days)
Issue #10: Inconsistent Executive Communication to Clients
Description: "Some PMs send no data, some send laundry lists of numbers" - Brian. Clients confused about what to read. Need "low/medium/high detail" templates. "Executive communication needs standardization."
Impact:
- C-suite clients frustrated by data overload
- Detail-oriented clients feel under-informed
- Inconsistent client experience across PMs
- Wastes client time (they don't know what to focus on)
Root Cause:
- Each PM develops own communication style
- No templates or guidance on executive communication
- Assume all clients want same level of detail
Cost of Inaction:
- Client retention risk: Poor communication cited in churn reasons
- PM time waste: Writing custom emails for 30 clients/month = 15 hours
- Brand inconsistency: BEM experience varies by which PM you get
Recommended Change:
- Create 3 standard templates: Executive Summary (C-suite), Manager's Update (mid-level), Data-Rich Report (detail-oriented)
- Tag clients as "Low/Medium/High detail" preference and show specific to client or show all to client with ability for them to “untoggle” and go into more detail as necessary
- Templates auto-populate based on tag
- Brian hosts "lunch & learn" on executive communication best practices
Owner: Faith (template creation) + Brian (communication training)
Why Do This:
- Consistent client experience regardless of PM
- Time savings: 15 hours/month → 3 hours/month (12 hours reclaimed)
- Improved client satisfaction from appropriate detail level
Effort: 2-3 weeks (6-8 hours)
- Week 1: Design 3 templates with Faith + Brian (4 hours)
- Week 2: Tag all clients, assign templates (2 hours)
- Week 3: Lunch & learn training session (2 hours)
Projected Win:
- PM time saved: 12 hours/month reclaimed from custom email writing
- Client satisfaction: Measurable improvement in "communication" NPS category
- Consistency: 100% of client updates use standardized templates
Issue #11: MailChimp vs. HubSpot Email Marketing Inefficiency
Description: Using MailChimp for email marketing while HubSpot for CRM creates manual lead scoring. "If HubSpot can find those prospects for us, it's going to save us a lot of time" - Doug.
Impact:
- Two tabs to understand who's opening/clicking emails
- Manual list building for outreach targets
- Lost lead intelligence (can't automate scoring)
- False positives from antivirus scanning in MailChimp
Root Cause:
- Historical decision to use MailChimp (lower cost)
- HubSpot email marketing is additional expense
- No cost-benefit analysis of time savings vs. tool cost
Cost of Inaction:
- Doug's time: 5-10 hours/month building manual lead lists
- Missed opportunities: Warm leads not identified automatically
- Efficiency: Sales team spends time on wrong prospects
Recommended Change:
- Migrate to HubSpot email marketing to consolidate tools or sync Hubspot to Mailchimp
- Implement automated lead scoring (engagement-based)
- Train BizDev team on HubSpot sequences and automation
Owner: Doug (migration lead) + (IT setup)
Why Do This:
- Doug's #1 wish list item: "Would make my job 10x easier"
- Time savings justifies cost ($300/month vs. 10 hours/month saved = Increased ROI)
- Better lead intelligence = higher conversion rates
Effort: 4-6 weeks (12-15 hours)
- Week 1-2: Evaluate HubSpot email marketing, get approval (3 hours)
- Week 3-4: Migrate sequences, templates, lists (8 hours)
- Week 5-6: Train team, set up automation (4 hours)
Projected Win:
- Time saved: Doug and sales team saves 5-10 hours/month on manual lead list building
- Lead quality: Automated scoring identifies warm prospects without manual work
- Conversion improvement: 5-10% increase in outreach→call rate from better targeting
Issue #12: Limited Creative Resource Capacity
Description: "Additional creatives that we could pull for video editing and content creators" - Alyssa. 1 video editor at capacity, no on-demand design resources. "We could capitalize on more creative-based targeting if we had resources."
Impact:
- Creative requests backlogged
- Can't execute creative-based targeting strategies
- Reliant on client-provided assets (often inadequate)
- Video editor at capacity, no ability to scale
Root Cause:
- No bench of on-call creatives (video, design, motion graphics)
- Assuming all creative must be full-time employees
- Cost concerns about retainer agreements
Cost of Inaction:
- Revenue opportunities: Can't pitch creative-forward campaigns to clients
- Client satisfaction: Slow turnaround on creative requests
- Competitive disadvantage: Other agencies offer faster creative execution
Recommended Change:
- Build bench of 5-10 on-call creatives (video editors, graphic designers, motion graphics, copywriters)
- Retainer or project-based agreements (not full-time hires)
- Tiered creative packages clients can add on
Owner: Faith (resource planning) + Alicia (creative specialist relationship management)
Why Do This:
- Alyssa's top 3 wish list item
- Unlocks creative-based targeting opportunities (higher client LTV)
- Scalable model (pay for what you use vs. full-time overhead)
Effort: 6-8 weeks (8-10 hours)
- Week 1-2: Identify 5-10 freelance creatives, negotiate rates (4 hours)
- Week 3-4: Test on 2-3 projects, evaluate quality (3 hours)
- Week 5-8: Build process for creative requests, train team (3 hours)
Projected Win:
- Capacity: From 1 video editor → 3-5 on-demand video editors
- Turnaround time: Creative requests from 2-3 weeks → 5-7 days
- Revenue: Ability to upsell creative packages to 30-50% of clients
Issue #13: Sales Commission Structure Subjectivity
Description: "Commission structure is too subjective right now, needs to be objective" - Doug. Riley on salary without commission. No clear rules on what gets paid commission vs. what doesn't.
Impact:
- Doug frustrated by lack of clarity on compensation
- Riley potentially unmotivated (salary vs. commission)
- Future BizDev hires won't have clear incentive structure
- Perception of unfairness if rules unclear
Root Cause:
- Commission structure evolved organically, not designed systematically
- Renewals vs. new clients vs. upsells treated inconsistently
- No documentation of commission rules
Cost of Inaction:
- Motivation: Sales team doesn't know what to prioritize
- Retention risk: Doug cited as "most frustrating part" of role
- Hiring constraint: Can't scale BizDev team without clear comp model
Recommended Change:
- Document commission structure: New clients (X%), Renewals (Y%), Upsells (Z%)
- Move Riley to base + commission model (align incentives)
Owner: Brian (compensation decisions) + Doug (input on structure)
Why Do This:
- Doug's #1 frustration - directly impacts his satisfaction
- Enables scaling BizDev team (clear comp model for future hires)
- Aligns incentives (Riley motivated to close, not just assist)
Effort: 2-3 weeks (4-6 hours)
- Week 1: Brian decides commission structure (2 hours)
- Week 2: Document rules (2 hours)
- Week 3: Roll out to Doug + Riley, adjust Riley comp (2 hours)
Projected Win:
- Clarity: 100% objective commission rules, no ambiguity
- Riley's motivation: Incentivized to close deals, not just support
- Doug's satisfaction: #1 frustration eliminated
Issue #14: Meeting Overload (Faith's Mondays: 9 Meetings, 9:30am-2pm)
Description: Faith has 9 back-to-back meetings Mondays (9:30am-2pm), bi-weekly 1-on-1s with all PMs, client catch-up, PM huddles. "By 2pm completely burnt out, then 2-7pm to get actual work done."
Impact:
- Deep work happens 2-7pm after exhausting meetings
- Faith working nights/weekends to compensate
- Some 1-on-1s become "How's the client? Good. Any issues? Nope." (wasted 30 min)
Root Cause:
- Default to synchronous communication (meetings) vs. asynchronous (Slack, docs)
- Bi-weekly 1-on-1s focused on status updates vs. development
- No "meeting-free" blocks for deep work
Cost of Inaction:
- Faith's productivity: 50+% of days consumed by meetings = 20 hours/week
- Burnout risk: Unsustainable pace (nights/weekends to compensate)
Recommended Change:
- Replace bi-weekly 1-on-1s with monthly (performance/development focus only)
- Implement "Office Hours" (Faith available Tue 2-3pm for questions)
- Async stand-up updates in Slack (Monday AM: Wins/Blockers/Help needed)
- Move to transparent contextual communication for 1-3x performance gains - See Company OS below
Owner: Faith (meeting structure redesign)
Why Do This:
- Faith reclaims 15+ hours/month from meeting reduction
- More effective 1-on-1s (development vs. status updates)
- Reduces meeting fatigue
Effort: 2 weeks (3 hours)
Projected Win:
- Meeting time: From 5 hours/month per PM → 1.25 hours/month (75% reduction)
- Faith's capacity: 15+ hours/month reclaimed for strategic work
Issue #15: Strategy Documentation & Knowledge Sharing
Description: "Every person's an island... we don't have a place that we house what worked well, what didn't" - Alyssa. PM discovers Instagram Reels outperform feed posts 3:1 for music festivals, insight lives in PM's head, not captured.
Impact:
- Same strategies tested multiple times across accounts
- New PMs start from scratch vs. learning from veterans
- Competitive intelligence not shared across team
Root Cause:
- No "Strategy Library" or shared knowledge repository
- Campaign summaries client-facing (don't capture nitty-gritty learnings)
- Culture of doing vs. deploying shared insights
Cost of Inaction:
- Efficiency loss: Retest strategies instead of leveraging proven playbooks
- New PM ramp time: Learn by trial and error vs. standing on shoulders
Recommended Change:
- Build Strategy Library in Notion (organize by client type, service, campaign type)
- End-of-campaign: PM spends 15 min documenting what worked/didn't
- Assign to appropriate role (owns organizing insights)
Owner: Faith (establish process) + Role
Why Do This:
- Faster campaign strategy development (hours vs. days)
- Higher win rate from proven tactics
- New PM ramp time reduced
Effort: 4-6 weeks (8 hours setup + 2 hours/month ongoing)
Projected Win:
- Strategy development speed: From days → hours (leverage proven playbooks)
- Win rate improvement: 5-10% higher campaign performance from collective intelligence
- New PM ramp: From 3 months → 2 months (learn from library)
Issue #16: No Strategic Time Block for Brian
Description: Brian wants to focus on AI integration, potential acquisitions, business health dashboard - but no dedicated time blocks for strategic work. Gets pulled into tactical firefighting.
Impact:
- Strategic priorities (AI, acquisitions, retention systems) remain on "someday" list
- Brian's highest-value work postponed for tactical reviews
- Company misses opportunities (AI integration, M&A, innovation)
Root Cause:
- No protected time block on calendar
- Tactical work fills available time (Parkinson's Law)
- Guilt about "not being available" to team
Cost of Inaction:
- Opportunity cost: Strategic work worth 10x Brian's hourly rate
- Competitive risk: Falling behind on AI adoption and modern Ops as hub business growth
- Growth constraint: Can't explore M&A if no time to research
Recommended Change:
- Install "Weekly Visionary Time" block (9am-12pm, no meetings, no Slack)
- Weekly focus Blocks: Business Health / AI Integration / Retention & Team / Strategic Opportunities
- Faith and team know: Do NOT interrupt unless emergency
Owner: Brian (commit to block) + Faith (protect Brian's time)
Why Do This:
- Goal #3 enabler: Brian can't be visionary without time for vision
- 12 hours/month = 144 hours/year of strategic thinking
- Demonstrates to team that strategic work is priority
Effort: Immediate (no implementation time, just commitment)
Projected Win:
- Strategic work time: From 2-4 hours/month → 15-20 hours/month
- AI integration: Progress from "someday" → implemented in 90 days
- Business health: Dashboard built and reviewed monthly
Issue #17: Attention to Detail Issues (Recurring Mistakes)
Description: "Recurring attention to detail issues with emails and proposals" - Doug. Example: "Good morning/afternoon" template not updated before sending. Same mistakes happening repeatedly.
Impact:
- Trust erosion (Brian can't fully delegate if details missed)
- Client perception (small mistakes look unprofessional)
- Doug/Riley development limited by inability to send without review
Root Cause:
- No pre-send checklist or AI agent
- Speed prioritized over accuracy
- Lack of consequences for repeated mistakes
Cost of Inaction:
- Brian can't extract: Trust issue prevents delegation
- Client perception: Small mistakes damage premium positioning
Recommended Change:
- Implement "Pre-Send Checklist" for all client-facing communications
- AI Agent check, placeholder verification, link testing, tone appropriateness
Owner: Doug (BizDev) + Faith (Ops) - respective teams
Why Do This:
- Builds trust for Brian to delegate
- Professional client experience
- Develops team attention to detail muscle
Effort: 2 weeks (2 hours)
Projected Win:
- Error rate: Reduce attention to detail mistakes by 70-80%
- Trust: Brian comfortable delegating without review
- Client perception: Zero mistakes in client-facing communications
Issue #18: Manual Task Creation & No Template Kickoffs
Description: When new clients sign, Faith manually creates ClickUp workspace, assigns 20-30 onboarding tasks, sets due dates, assigns team members. Takes 30-60 minutes per new client. No template automation for recurring campaign types or standard service packages.
Impact:
- Faith spends 30-60 min per new client on administrative task setup
- Prone to forgetting steps (recent example: kickoff call invite not sent)
- Inconsistent onboarding experience across clients
- No standardization for recurring campaign types (festival launch, venue season, etc.)
Root Cause:
- No automation between HubSpot (deal closes) → ClickUp (tasks created)
- Reliance on Faith's memory for all onboarding steps
- Each client treated as unique vs. leveraging templates for similar types
Cost of Inaction:
- Faith's time: 30-60 min × 2-3 new clients/month = 10-20 hours/month wasted on admin
- Onboarding quality: Forgotten steps damage first impression
- Scalability constraint: Can't onboard multiple clients simultaneously without Faith bottleneck
Recommended Change:
- Zapier Automation: Client signs agreement in HubSpot → Zapier triggers → ClickUp space auto-created from template
- Template Library: Build 3-5 ClickUp templates for common client types (Festival, Venue, Performing Arts, Artist, Corporate Event)
- Auto-Assignment: Tasks auto-assigned based on service package (Tier 1/2/3 from Issue #4)
- Slack Notification: Team auto-notified when new client workspace created
- (Or implement in Company OS for more leveraged productivity wtih AI - see below)
Owner: Faith (process design) + (IT specialist - Zapier setup)
Why Do This:
- Faith reclaims 10-20 hours/month from manual task creation
- Consistent onboarding experience (zero forgotten steps)
- Scales to handle multiple simultaneous client onboardings
- Frees Faith for strategic director work vs. administrative setup
Effort: 2-3 weeks (6-8 hours one-time setup)
- Week 1: Design ClickUp templates for each client type (3 hours)
- Week 2: Build Zapier automation + test with dummy clients (3 hours)
- Week 3: Train team on new process, document SOP (2 hours)
Projected Win:
- Time saved: 30-60 min → 5 min per new client (Faith just reviews auto-created workspace)
- Onboarding consistency: 100% of steps completed every time
- Scalability: Can onboard 5 clients in same day without Faith bottleneck
🔵 LOW PRIORITY (180+ Days)
Issue #19: Small Deal Revenue Left on Table
Description: BizDev occasionally encounters deals <$10K that don't meet BEM's typical engagement size. These currently get declined or referred elsewhere with no compensation. Represents missed revenue opportunity.
Impact:
- Lost revenue from qualified leads that want to work with BEM but have smaller budgets
- Missed opportunity to build relationships with potential future larger clients
- Competitors capturing these smaller engagements
Root Cause:
- No service tier designed for small deals
- Operations can't absorb <$10K deals without hurting margins
- BizDev has no alternative to offer besides "We're not a fit"
Cost of Inaction:
- Opportunity cost: 5-10 small deals/year × $5K average = $25K-$50K revenue left on table
- Relationship cost: Potential future clients go to competitors
Recommended Change:
- Option A (Referral Partnership): Partner with 2-3 smaller agencies for <$10K deals; negotiate 10-15% referral fee for qualified leads sent their way
- Option B (Amplify Audit Upsell): Position $995 Amplify Audit as solution for smaller budgets, focus on converting to larger engagements later
- Option C (Small Deal Service Tier): Create $5K-$10K "Amplify Lite" package (audit + 30-day implementation sprint, coordinator-led, PM oversight only)
Owner: Doug (BizDev) + Brian (partnership strategy)
Why Do This:
- Captures revenue currently lost
- Builds pipeline for future larger engagements
- Strengthens industry relationships through partnerships
Effort: 4-6 weeks (partnership negotiation OR new service tier design)
Projected Win:
- Revenue capture: $25K-$50K/year from previously declined opportunities
- Pipeline building: Small deals become larger clients over time
4. Scaling to $5M: Systems Required
What must be true to confidently double revenue
The $5M Vision (3 Years)
- Revenue: $5M (15-20% profit margin)
- Team Size: Double current size
- Client Portfolio: 10+ major clients, none >15% of revenue, plus handling smaller clients or referring to smaller partner
- Brian's Role: Strategic visionary, out of day to day tactical
- Faith's Role: Integrator operating proactively, owns org growth, no client work
Pre-Requisites: What Must Exist Before We Scale
System 1: Unified Data & Reporting Platform
- Current: Manual reporting Mon-Wed, disparate scorecards, 70% info accessible
- Required: Real-time dashboard, 95%+ info accessible, automated KPI tracking
- Why Critical: Can't scale what you can't measure efficiently
- Investment: Reporting automation software + data warehouse
System 2: Centralized Knowledge Base (AI-Enabled)
- Current: Scattered Google Docs, 10-15% search failure, SOP ownership unclear
- Required: Searchable, AI-queryable knowledge base, <30 sec to find any answer
- Why Critical: Onboarding speed, reduced interruptions, distributed decision-making
- Investment: Knowledge base platform (Notion, not currently another option)
System 3: Proactive Capacity Planning Model
- Current: Reactive hiring, 6 months of "tapping the brakes"
- Required: Pipeline → capacity forecast, 90-day hiring lead time, bench of candidates
- Why Critical: Sales can't be constrained by ops capacity
- Investment: Capacity planning + always-on recruitment process
System 4: Sales-to-Operations Handoff Protocol
- Current: Sometimes rushed, scope misalignment, ops unaware of commitments
- Required: Mandatory pre-kickoff call, scope documented in shared system, 0 surprises
- Why Critical: Client satisfaction, reduced rework, team alignment
- Investment: Process design + CRM integration + Shared workspace for ops visibility
System 5: Role Clarity & Decision Authority
- Current: Redundant review cycles (PM→Coordinator→Specialist), unclear autonomy
- Required: Clear decision matrix, coordinators empowered, specialists in QA role only
- Why Critical: Speed of execution, team empowerment, reduced bottlenecks
- Investment: Documentation + training on decision authority
System 6: Automated Proposal Generation
- Current: Manual proposal creation, hand-updating logos/testimonials
- Required: Proposal building with templated library, auto-populated from CRM, AI powered
- Why Critical: BizDev will need to optimize as business grows as well as increase prospecting
- Investment: Proposal building workflow using AI (Notion AI with instructions and template library)
System 7: Flexible Creative Resource Bench
- Current: 1 video editor on retainer (tapped out), limited content creation capacity
- Required: 5-10 on-call creatives (video, design, copy), rapid expansion capability
- Why Critical: Capture creative-based targeting opportunities without full-time overhead
- Investment: Retainer agreements + project management for external creatives
The Scale Readiness Test (Self-Assessment)
Stabilize —> Foundation —> Optimize —> Grow
Before aggressively scaling from $2.5M → $5M, answer these questions:
- Can Faith run operations for 30 days without Brian? (Target: Yes, 9/10 confidence)
- Can we onboard 3 new clients in the same week without quality issues? (Target: Yes)
- Can Doug approve $50K+ deals without Brian review? (Target: Yes, with trust)
- Do we know our capacity 90 days out based on current pipeline? (Target: Yes, dashboard live)
- Can a new PM find process workflow, library, or any SOP answer in under 2 minutes? (Target: Yes, knowledge base)
- Have we eliminated Mon-Wed manual reporting? (Target: Yes, automated dashboards)
- Do sales and ops use the same system to track scope/commitments? (Target: Yes)
- Can we hire a qualified candidates (PM, Interns, etc) within 30 days when needed? (Target: Yes, pipeline active)
Scoring:
- 0-3 Yes: Not ready to scale - focus on Foundation Strengthening (90 days)
- 4-6 Yes: Approaching readiness - finish Scaling Enablers (180 days)
- 7-8 Yes: Ready to scale - execute growth plan with confidence
The $5M Operating Model
Client Service Model (Target):
- Tier 1 Clients ($500K+): Senior PM + dedicated coordinator + specialist oversight
- Tier 2 Clients ($200K-$500K): Mid-level PM + shared coordinator + specialist QA
- Tier 3 Clients ($50K-$200K): Coordinator-led + PM oversight + specialist spot-check
Team Structure (Target):
- Leadership: Brian (Visionary), Faith (Integrator), Doug (Sales Director)
- BizDev: 1 Sales Manager (Doug) + 2-3 BizDev Coordinators + Sales Engineer role (new)
- Operations: Faith + 3-4 Senior PMs + 8-10 Account Coordinators + 2-3 Specialists (Ad Ops, Content, Creative)
- Support: IT, HR, Accounting (as needed)
Revenue Breakdown (Target):
Note: These are unverified projections
- 10-15 major clients at $300K-$750K each (none >$750K = 15% cap)
- 20-30 mid-tier clients at $50K-$200K each
- Minimal small clients (<$50K) - refer out or Amplify Audit only
4. The Company OS Solution: How Notion + AI Gets BEM To It’s Goal Faster
Why This Matters for BEM
You've built a strong business with scattered tools: ClickUp for tasks, Google Docs for SOPs, HubSpot for sales, Slack for communication, spreadsheets for reporting. Each tool works in isolation. The cost? 40 hours/week on manual reporting, 6 months of bandwidth crises, Faith stuck in dual roles, Brian reviewing every proposal, handoff constraints, lack of transparency forces more unnecessary meetings and touchpoints, slow onboarding of new interns and staff.
Company OS built on Notion transforms this. Not by replacing every tool, but by creating a single source of truth where your vision, goals, people, projects, knowledge, workflows, automations and AI all work with the same context together.
How Company OS Solves Your Top 8 Priorities
Priority #1: Faith's Transition to Full Director Role
The Challenge: Faith splits time 50/50 between Operations Director and managing Cerritos (largest client). Working nights and weekends. "Haven't stepped into director role fully, ever" in 2.5 years.
Company OS Solution:
Human Layer:
- Role Dashboards for Faith and Key Staff: Clear separation between "Director of Operations" responsibilities (capacity planning, process optimization, team development) and "Account Management" work
- Capacity Planning View: Live dashboard showing pipeline → resource allocation → hiring triggers. Faith sees 90 days ahead.
- Department Dashboard: Operations hub with key metrics (team utilization, onboarding status, process health scores)
AI Layer:
- Chief of Staff Agent: "Show me team capacity for next 60 days given current pipeline" → instant answers
- Process Optimization Agent: Scans meeting notes, identifies recurring bottlenecks, surfaces patterns Faith should address
- Team Development Agent: Tracks 1-on-1 notes, flags coaching opportunities, suggests development priorities
Concrete Improvement:
- Faith's strategic work time increases from 10 hours/week → 25 hours/week
- Capacity planning shifts from reactive (hiring after crisis) to proactive (90-day visibility)
- Director-level decisions made in minutes, not days (AI synthesizes data instantly)
Success Impact: 85-90% confidence Faith operates as full Director within 90 days
Priority #2: Proposal→Agreement Drop-Off (50% Conversion)
The Challenge: Half of proposals never convert to signed agreements. Doug spending 45-60 min per proposal. Manual follow-up inconsistent.
Company OS Solution:
Human Layer:
- Sales Pipeline Database (Hubspot to Notion Sync): Every prospect tracked from initial call → proposal → agreement → kickoff
- Proposal Templates Library (Notion): Modular sections (services, pricing, testimonials, case studies) auto-populate based on client type
- Follow-Up Sequences (Hubspot to Mailchimp Sync): Automated email sequences triggered when proposal status = "Sent"
AI Layer:
- Proposal Builder Agent: "Create proposal for performing arts venue, $75K budget, 8-month engagement" → generates 80% complete proposal in 2 minutes
- Auto-populated content: Client logo, relevant testimonials, industry-specific case studies pulled from knowledge base
- Conversation Optimizer Agent: Analyzes sales calls and conversations to convert faster and optimize improvements
Concrete Improvement:
- Proposal creation time: 45-60 min → 15-20 min (Doug reclaims 10-15 hours/month)
- Follow-up consistency: Manual/inconsistent → 100% automated sequences
- Conversion tracking: Unknown baseline → clear metrics on what works
Success Impact: 60-70% conversion rate (up from 50%), representing $315K-$630K additional annual revenue
Priority #3: Manual Reporting Consuming Monday-Wednesday
The Challenge: Team spends 40-60 hours/week manually pulling data from Facebook, Google, social platforms into spreadsheets. "Good majority of my job is spent pulling numbers" - Alyssa
Company OS Solution:
Human Layer:
- Client Dashboard Database: Every client has standardized dashboard structure
- Department Dashboards: Marketing, Ad Ops, Content each have real-time KPI views
- Client Communication Space: Executive Summary, Manager Update, Data-Rich Report (auto-generated)
AI Layer:
- Reporting Agent: Pulls data from connected platforms (Meta, Google Ads, Analytics) → auto-populates client dashboards
- Analysis Agent: Reads performance data, identifies trends, drafts "What This Means" summaries
- Client Communication Agent: Generates appropriate detail level summaries based on client preference (Low/Medium/High)
- Shared Client Space: Auto report AI generated notes in shared space available to client for staff time savings and better comms with client
- Anomaly Detection Agent: Flags unusual performance changes for PM review
Concrete Improvement:
- Reporting time: 3 days → 4 hours (review AI-generated reports, approve)
- Capacity reclaimed: 40-60 hours/week = 1.25-1.5 FTE equivalent
- Strategic thinking time: Thursday-Friday → Tuesday-Friday (50% increase)
- Client communication: Manual custom emails → AI-drafted, PM-approved, shared client space communication consistent quality
Success Impact: 90-95% reporting time reduction, equivalent to hiring 1-2 full-time analysts
Priority #4: Sales→Operations Handoff Breakdowns
The Challenge: Information loss at handoff creates scope surprises. "Sometimes things are promised that don't work out operationally." Example: 45 posts/week account not flagged.
Company OS Solution:
Human Layer:
- Unified Client Database: Sales and Ops work in same database (no HubSpot → ClickUp disconnect)
- Deal Pre-Flight Checklist: Complexity scoring (Low/Medium/High) visible to both teams
- Capacity Dashboard: Doug sees real-time Ops capacity (green/yellow/red) before closing deals
- Shared Client Workspace: Every client gets dedicated page (sales notes, scope, deliverables, meetings all in one place)
AI Layer:
- Handoff Agent: When deal status changes to "Closed-Won" → automatically creates client workspace, assigns PM, notifies team, schedules kickoff
- Scope Analyzer Agent: Reads sales notes, flags complexity signals ("45 posts/week", "multi-platform", "tight timeline"), suggests resource allocation + summary to avoid missteps
- Capacity Forecasting Agent: "If we close these 3 Medium deals, when do we need to hire?" → instant answer with hiring trigger dates
Concrete Improvement:
- Handoff information loss: From frequent surprises → zero surprises (shared workspace eliminates translation)
- Scope misalignment incidents: Unknown baseline → target <1/month
- "Can we take this client?" questions: From multiple/week → instant answer via capacity dashboard
- Client onboarding: Manual 30-60 min setup → automated 5 min review
Success Impact: 80-90% reduction in sales→ops friction, 100% handoff call completion for complex deals
Priority #5: Reactive Hiring vs. Proactive Capacity Planning
The Challenge: "We've been fighting for probably the past six months not having enough people." Hiring happens after crisis, not before.
Company OS Solution:
Human Layer:
- Pipeline Dashboard: Doug's deals visible to Faith with stage, complexity, expected close date
- Team Capacity Database: Each team member's current load, availability, specialization
- Hiring Triggers: Defined rules ("3+ Medium deals in proposal stage = activate hiring")
- Warm Candidate Pool: Maintained list of pre-qualified candidates, last contact date, readiness
- Hiring Engine Workflow + Database of Candidates - Workflow frees staff to hire without needing dedicated HR + pool of bench workers/Interns to draw from as needed
AI Layer:
- Capacity Forecasting Agent: Analyzes current team utilization + pipeline → projects capacity needs 60-90 days out
- Hiring Trigger Agent: Monitors pipeline, automatically alerts Faith when triggers hit
- Resource Allocation Agent: "If these 4 deals close, who should lead each account?" → suggests optimal PM/coordinator pairings based on expertise and capacity
- Candidate Pipeline Agent: Tracks warm candidates, reminds Faith to check in quarterly, surfaces best fits when hiring triggered
Concrete Improvement:
- Hiring speed: From 6-8 weeks (scramble) → 2-3 weeks (proactive pipeline)
- Bandwidth crisis duration: From 6 months continuous → eliminated
- Sales confidence: Doug can sell knowing capacity is coming to meet needs
- Team burnout prevention: Early warning system catches capacity issues before 40+ hour weeks
Success Impact: 70-80% improvement in hiring lead time, unlock $200K-$400K in previously declined opportunities
Priority #6: Brian as Bottleneck on All Proposals
The Challenge: Brian reviews 100% of proposals/agreements, including <$20K deals. "I would like to take myself out of that and not be a bottleneck."
Company OS Solution:
Human Layer:
- Proposal Quality Checklist: Critical/Important/Preference criteria documented (and owned)
- Graduated Approval Authority: Tier 1 = Doug autonomous, Tier 2 = Doug + 20% spot-check, Tier 3 = Brian pre-approval
- Proposal Review Database: All proposals logged with status, reviewer, outcome to provide data for optimizing future proposals
AI Layer:
- Proposal QA Agent: Checks every proposal against quality checklist before Doug submits (catches "Good morning/afternoon" template errors)
- Approval Routing Agent: Based on deal tier, automatically routes to correct approver
- Brian's Strategic Dashboard: Weekly summary of deals closed, Doug's performance, spot-check recommendations (if necessary)
- Learning Agent: Analyzes proposals, suggests patterns to implement by Doug
Concrete Improvement:
- Brian's review time: 15-20 hours/month → 5-7 hours/month…or less (70% reduction)
- Strategic work time: Brian reclaims 15-20 hours/month for next stage growth, acquisitions, business health
- Sales cycle speed: Eliminate 24-48 hour review delays on standard deals
- Doug's autonomy: 80% of deals closed without Brian by Day 90
Success Impact: 65-75% of Brian's time freed for strategic work, Doug operates independently on 80% of deals
Priority #7: Excessive Review Cycles (3-4 Rounds)
The Challenge: Flow: Intern drafts → Coordinator reviews → Specialist reviews → Faith final approval. "Still finding mistakes by the time it gets to me" - Faith
Company OS Solution:
Human Layer:
- Content Production Database: Every deliverable tracked (type, client, assignee, status, due date)
- Quality Checklist Templates: Pre-submission checklist by deliverable type
- Intern Onboarding Game + Quality Pilot Workflow/Task: Ensures the right quality interns are working at BEM and if not, quickly replaced
- Review Workflow: Clear two-person max rule with AI check (Intern drafts → Specialist/Coordinator approves)
AI Layer:
- AI Trained Content Generator: Writes 1st drafts and adds to database for human review
- Brand Voice Checker Agent: Notion AI trained on each client's brand guidelines, auto-checks content before human review
- QA Agent: Catches typos, placeholder text, broken links, formatting issues (80% of errors eliminated before human sees it)
- Strategic Review Focus: Humans focus on strategy and creative decisions, not tactical cleanup
- Quality Trends Agent: Tracks error patterns by team member, surfaces coaching opportunities
Concrete Improvement:
- Review cycles: 3-4 rounds → 2 rounds maximum (50% reduction)
- Time reclaimed: 25-50 hours/week = 1-1.5 FTE capacity
- Faith's tactical QA time: 10-15 hours/week freed for strategic director work
- Quality improvement: AI catches 80% of tactical errors, humans focus on 20% strategic decisions
Success Impact: 75-85% efficiency improvement in review process, Faith's director capacity increased 40-50%
Priority #8: Centralized Knowledge System Missing
The Challenge: "Too many SOPs" - 54 Google Docs hard to navigate. 10-15% search failure rate. "Sometimes overwhelming" during onboarding.
Company OS Solution:
Human Layer:
- Knowledge Base Hub: All SOPs, checklists, templates, workflows, change logs in single shared structure
- Department-Specific Views: Each team sees their relevant information, but can access more if desired
- Distributed Ownership: Every SOP assigned to role ("Ad Ops Lead owns all ad-related SOPs")
- Onboarding + Role Pathways: Structured learning tracks by role (PM path, Coordinator path, Specialist path)
AI Layer:
- Knowledge Search Agent: "How do I onboard a festival client?" → instant answer with step-by-step guidance + relevant SOPs
- Contextual Help Agent: Embedded in every workspace, provides answers in seconds
- Onboarding Assistant Agent: Guides new hires through first 30 days, surfaces real time info at the right time
- SOP Maintenance Agent: Flags outdated docs (>90 days since update), reminds owners to review
Concrete Improvement:
- Search time: From 15-25% of day → 5% (10-20% capacity reclaimed per person)
- Information accessibility: From 70% → 95%+ (search failures from 10-15% → <2%)
- Onboarding speed: 2 weeks → 1 week (50% faster ramp)
- "Where is X?" interruptions: Reduced 60-70% (people find answers vs. asking)
Success Impact: 85-90% improvement in knowledge accessibility, 6 team members × 10% capacity gain = 0.6 FTE reclaimed
The Compounding Effect: How These Solutions Stack
Each priority solved individually creates value. Combined, they multiply:
Month 1 Impact:
- Manual reporting reduced 90% = 40 hours/week reclaimed
- Proposal creation time cut 60% = Doug saves 10 hours/week
- Knowledge search time reduced 50% = Team reclaims 3-4 hours/week each
- Total capacity gain: ~70 hours/week = 1.75 FTE equivalent
Month 3 Impact:
- Faith fully transitioned to Director role = 20 hours/week strategic work
- Brian extracted from <$20K reviews = 15 hours/week strategic work
- Sales→Ops handoff friction eliminated = 10 hours/week saved on rework
- Total capacity gain: ~115 hours/week = 2.9 FTE equivalent
Month 6 Impact:
- Proactive hiring eliminates bandwidth crises = Unlocks $200K-$400K previously declined revenue
- Review cycles reduced 50% = 25-50 hours/week reclaimed
- Proposal→Agreement conversion improves 15-20% = $315K-$630K additional revenue
- Total capacity gain: ~160 hours/week = 4 FTE equivalent
The Math: Instead of hiring 4 full-time employees to reach $5M, you gain equivalent capacity through systems + AI. Cost savings: $280K-$400K annually (4 FTE salaries + benefits) vs. Company OS investment.
Company OS Success Rate: 85-92%
Why This High?
- Single Source of Truth: No data living in multiple places, no translation errors
- AI That Knows Your Business: Not generic ChatGPT, but agents trained on YOUR vision, clients, processes
- Automation That Actually Works: Built on your real workflows, not guessing
- Human + AI Partnership: AI does 80% of tactical work, humans focus on 20% strategic decisions
- Continuous Learning: System gets smarter as you use it, adapts to your patterns
Success Breakdown:
- Manual reporting reduction: 90-95% success rate
- Faith's director transition: 85-90% success rate
- Brian's extraction: 65-75% success rate (requires behavior change)
- Sales→Ops handoff: 80-90% success rate
- Proposal conversion improvement: 60-70% success rate (market dependent)
- Knowledge accessibility: 85-90% success rate
- Review cycle reduction: 75-85% success rate
- Proactive hiring: 70-80% success rate
Average Weighted Success Rate: 85-92% (estimated)
The Google Workspace Alternative
You currently use Google heavily (Docs, Sheets, Drive). Could you build similar systems in Google?
What Google Offers:
- Google Docs: SOP documentation (you already have 54 docs)
- Google Sheets: Manual dashboards, reporting templates
- Google Drive: File organization and sharing
- Google Forms: Client intake, feedback collection
- Google Calendar: Meeting scheduling
- Google Chat/Spaces: Team communication
- AppSheet: Low-code app builder for custom workflows
The Google Approach to BEM's Challenges:
Google Workspace Success Rate: 38+% (estimated)
Why Lower?
- Disconnected Tools: Data lives in separate places (Sheets, Docs, Forms, Calendar), requires manual syncing
- No AI Context: Google Workspace AI (Duet AI) is generic, doesn't know YOUR business, clients, or workflows
- Manual Automation: Apps Script requires coding, breaks easily, hard to maintain
- No Single Source of Truth: Vision, projects, knowledge, clients scattered across folders
- Limited Relational Data: Sheets can't handle complex relationships (clients → projects → tasks → meetings)
- Search Limitations: Drive search finds files, not answers
The Honest Assessment:
Google Workspace can improve your processes incrementally (38+% success). You'll document better, organize better, maybe save 10-15 hours/week through templates and better folder structure.
But it can't:
- Free Faith from dual role (requires unified capacity dashboard + AI forecasting)
- Eliminate manual reporting (requires AI that reads dashboards and writes analysis)
- Extract Brian (requires AI quality checking + automated routing)
- Create proactive hiring (requires AI-powered capacity forecasting)
- Reduce review cycles 75% (requires AI brand voice checking)
Google Workspace = incremental improvement.
Company OS is system transformation + unlocks scale.
Projected Comparison (Estimated)
Priority | Company OS Result | Google Workspace Result | Difference |
Manual Reporting Time | 40 hrs/week → 4 hrs/week | 40 hrs/week → 25 hrs/week | +21 hrs/week with Company OS |
Faith's Strategic Time | 10 hrs/week → 25 hrs/week | 10 hrs/week → 14 hrs/week | +11 hrs/week with Company OS |
Proposal Creation Time | 60 min → 15 min (75% faster) | 60 min → 40 min (33% faster) | 42% faster with Company OS |
Brian's Review Time | 15 hrs/month → 5 hrs/month | 15 hrs/month → 12 hrs/month | +7 hrs/month with Company OS |
Knowledge Search Time | 15-25% of day → 5% | 15-25% of day → 12% | 7% more productivity with Company OS |
Onboarding Speed | 2 weeks → 1 week | 2 weeks → 1.5 weeks | 25% faster with Company OS |
Sales→Ops Handoff Issues | Frequent → <1/month | Frequent → 2-3/month | Better alignment with Company OS |
Capacity Planning | Proactive (90-day forecast) | Reactive (manual tracking) | Unlocks $200K-$400K with Company OS |
Total Capacity Gained:
- Company OS: ~160 hours/week = 4 FTE equivalent
- Google Workspace: ~45 hours/week = 1.1 FTE equivalent
Revenue Impact:
- Company OS: $515K-$1.03M additional revenue (capacity + conversion + hiring)
- Google Workspace: $100K-$200K (efficiency gains only)
What This Looks Like in Day to Day…
With Company OS:
- Brian opens Notion, sees Business Health Dashboard (revenue, pipeline, capacity, top priorities)
- Faith checks Ops Hub, AI flags: "6 Medium deals in proposal stage, hiring trigger activated"
- Doug creates proposal for performing arts venue, AI drafts 80% in 2 minutes, Doug adds custom touches
- Alyssa asks AI: "What was Cerritos' ROAS last quarter vs. this quarter?" → instant answer with trend analysis
- Manual reporting virtually eliminated, Monday mornings now strategic planning not data pulling
- Faith has reclaimed 15 hours/week, focuses on proactive capacity planning
- Sales→Ops handoff: When Doug closes deal, AI auto-creates client workspace, assigns PM, schedules kickoff
- Faith fully transitioned to Director, Senior PM owns Cerritos
- Proactive hiring: Faith maintains warm candidate pool, knows exactly when to activate based on pipeline
- Team capacity: No one working 40+ hours, strategic thinking happens Tuesday-Friday not just Friday afternoon
The Transformation:
From scattered tools and firefighting to unified system and strategic focus.
From reactive hiring and bandwidth crises to proactive planning and confident growth.
From Faith stuck in dual role to Faith operating as true Director.
From Brian reviewing every proposal to Brian focused on acquisitions, strategic planning and business health.
This is why Company OS achieves 85-92% success vs. Google Workspace's 38+%.
What Success Looks Like in 12 Months…
- Brian: Working ON the business (acquisitions, strategic partnerships), not IN it
- Faith: Proactively operating as the integrator, team looks to her for strategy/escalations, not day-to-day
- Doug: Closing $3M+ annually, Riley promoted to full sales role, BizDev team of 3
- Handoff: From BizDev to Ops (Fulfillment) is smooth everytime
- Team: Clear decision authority, automated reporting, no bandwidth crises
- Clients: Consistent experience, executive communication standards, 95%+ retention
- Capacity: Structure enables BEM to expand as needed to avoid breaking internally as sales increases
- Revenue: On track for $3M-$3.5M (Year 1), with systems to reach $5M by Year 3
5. Next Steps & Engagement Options
Events to happen over the next 7-10 days
- Review & Discuss: Brian + Faith review full audit report
- BEM Annual Planning: Leadership team
- Prioritize: Define 2026 Vision
- Strategy Call: Schedule call with Damon + Mark to discuss strategy and support to reach vision
Ready for next step?
Let's schedule a 60-minute strategy call to:
- Review which recommendations resonate most
- Discuss Faith's transition timeline
- Explore engagement options that fit your goals and budget
Schedule: Click here to schedule Strategy call
Important Context for This Audit
Assumptions and Analysis
This audit is based on information gathered through interviews, documentation review, and our observations during the engagement period. Our recommendations reflect patterns and insights derived from these sources, combined with best practices from our experience with similar organizations.
While we've worked to understand your business deeply, some conclusions rely on assumptions about team capacity, client behavior, market conditions, and operational constraints. We've made every effort to validate these assumptions, but real-world implementation may reveal nuances that require adjustment.
Implementation Considerations
The recommendations in this report are strategic guidance, not prescriptive formulas. Your business is unique. Implementation will require:
- Testing and iteration to find what works for your specific context
- Ongoing assessment of team readiness and capacity
- Adaptation based on client response and market feedback
- Continuous measurement against your defined success metrics
We've prioritized recommendations based on impact and feasibility, but your team's bandwidth, client commitments, and strategic priorities should guide execution timing.
Next Steps and Ongoing Support
This audit provides the roadmap. Execution is where the real work begins. If you choose to move forward with implementation support, our fulfillment engagement includes:
- Reassessment of recommendations based on current business conditions
- Hands-on support to build and refine systems
- Ongoing coaching to ensure sustainable adoption
- Continuous measurement and adjustment as you learn what works
Our goal is clarity and direction. Your success depends on thoughtful execution, team buy-in, and willingness to adapt as you implement.