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12. RISK ANALYSIS & MITIGATION

Document: Business Plan GBCM LLC 2025 Section: 12 - Risk Analysis & Mitigation Version: 2.0 Date: October 2025 Pages: 14


📋 TABLE DES MATIÈRES


🎯 VUE D'ENSEMBLE

Risk Philosophy: Identify, Assess, Mitigate, Monitor

GBCM LLC adopte une approche proactive de gestion des risques - anticiper les problèmes avant qu'ils ne surviennent.

Risk Management Process:

  1. Identify: List all potential risks (brainstorm, industry research)
  2. Assess: Rate each risk (Probability × Impact = Risk Score)
  3. Mitigate: Create action plans to reduce probability or impact
  4. Monitor: Track indicators, review quarterly

Risk Matrix Framework

Probability Scale (1-5):

  • 1 = Rare (<10% chance)
  • 2 = Unlikely (10-30%)
  • 3 = Possible (30-50%)
  • 4 = Likely (50-75%)
  • 5 = Almost Certain (>75%)

Impact Scale (1-5):

  • 1 = Negligible (minor inconvenience)
  • 2 = Minor (affects 1-2 clients or <$5K loss)
  • 3 = Moderate (affects 5-10 clients or $5K-25K loss)
  • 4 = Major (affects 20+ clients or $25K-100K loss)
  • 5 = Critical (business failure, >$100K loss)

Risk Score = Probability × Impact (1-25)

  • 1-6 = Low risk (monitor, no immediate action)
  • 7-12 = Medium risk (mitigate within 6 months)
  • 13-19 = High risk (mitigate within 3 months)
  • 20-25 = Critical risk (mitigate immediately)

🏪 MARKET & COMPETITIVE RISKS

RISK 1: Market Saturation / Too Many Coaches

Description: 145,000+ business coaches in US, difficult to differentiate

Probability: 4 (Likely) - Market IS crowded Impact: 4 (Major) - Could struggle to acquire clients, price pressure Risk Score: 16 (HIGH)

Mitigation Strategies:

  1. Niche Specialization (Reduce)

    • Focus on 3 specific personas (Scale-Up CEOs, Bootstrappers, First-Time CEOs)
    • vs generic "business coach for everyone"
    • Result: Compete with 1,000 specialists, not 145,000 generalists
  2. Tech Differentiation (Reduce)

    • AI Success Coach™ (first-mover in SMB space, 12-18 month lead)
    • Proprietary platform (competitors use Zoom + Google Docs)
    • Result: Unique value prop ("Only AI-powered coaching for SMBs")
  3. Proven Methodology (Reduce)

    • Trademarked frameworks (Scale Framework™, DTC™, SLS™)
    • Data-backed results ("Clients average 34% revenue growth")
    • Result: Credibility > generic coaches
  4. Premium Positioning (Accept)

    • Price at top 25% (not bottom 50% fighting on price)
    • Attract clients who value quality over cost
    • Result: Smaller TAM, but higher margins + better clients

Monitoring Indicators:

  • CAC trend (if rising >$5K, differentiation weakening)
  • Close rate (if dropping <50%, messaging unclear)
  • Client source (if <30% referrals by Year 2, not differentiated enough)

RISK 2: Well-Funded Competitor Enters SMB Market

Description: BetterUp ($1.73B valuation) or CoachHub ($1B) launch SMB offering

Probability: 3 (Possible) - They're focused on enterprise now, but could pivot Impact: 4 (Major) - Deep pockets = outspend us on marketing, steal clients Risk Score: 12 (MEDIUM)

Mitigation Strategies:

  1. First-Mover Advantage (Reduce)

    • Launch 2026 (before they enter)
    • Capture 100+ clients by time they launch (Year 2-3)
    • Build brand recognition in SMB space
  2. Relationship Moat (Reduce)

    • High-touch service (know clients personally, not faceless platform)
    • Community (clients refer peers, sticky network effects)
    • Result: Hard to poach our clients even with better tech
  3. Pivot to B2B2B (Accept if happens)

    • If they enter market, we white-label to them
    • "BetterUp for SMBs, powered by GBCM"
    • Result: Partner instead of compete

Monitoring Indicators:

  • Competitor product launches (track BetterUp, CoachHub press releases)
  • Pricing changes (if they launch SMB tier at $5K/year, undercutting us)
  • Client churn reasons (if losing clients to bigger platforms)

RISK 3: Economic Recession (Coaching Seen as "Nice-to-Have")

Description: 2026-2027 recession, SMBs cut coaching budgets first

Probability: 3 (Possible) - Economists predicting 30-40% recession risk 2026-2027 Impact: 5 (Critical) - Revenue could drop 40-60%, cash flow crisis Risk Score: 15 (HIGH)

Mitigation Strategies:

  1. Diversify Client Base (Reduce)

    • Target recession-resistant industries: Healthcare, SaaS, Essential Services
    • Avoid: Retail, hospitality, luxury goods
    • Result: 70% of clients in stable industries
  2. Lock-In Contracts (Reduce)

    • 12-month prepay (with 5% discount incentive)
    • 60% of clients prepay = 60% of Year 2 revenue secured upfront
    • Result: Recession hits, but revenue already banked
  3. Flexible Pricing (Reduce)

    • Offer "pause" option (3-month pause, resume when ready)
    • Downgrade options (ADVISORY → TRANSFORM Scale vs cancel)
    • Result: Retain 50% of clients who would otherwise churn
  4. Cash Reserves (Reduce Impact)

    • Maintain 6-12 months expenses in cash by end of Year 2
    • $122K (end of Y2) = 3.6 months → Goal: $200K = 6 months
    • Result: Can weather 6-month revenue dip without panic
  5. Shift to Essentials (Pivot)

    • Reposition: "Cost-cutting consultant" not "growth coach"
    • "I help you survive recession" (operational efficiency, cash management)
    • Result: Increase demand during downturn

Monitoring Indicators:

  • GDP growth (if <1%, recession likely)
  • Client renewal rate (if drops below 70%, economic stress)
  • Discovery call volume (if drops 50%+, demand weakening)

⚙️ OPERATIONAL RISKS

RISK 4: Founder Burnout / Inability to Scale

Description: Founder works 60-70 hours/week, gets exhausted, quality suffers

Probability: 4 (Likely) - Common for solo entrepreneurs Impact: 4 (Major) - Client satisfaction drops, reputation damaged Risk Score: 16 (HIGH)

Mitigation Strategies:

  1. Time Boundaries (Reduce)

    • Hard stop: 50 hours/week max (track in Toggl)
    • No work weekends (except emergencies)
    • 4 weeks vacation/year (actually take it)
  2. Delegate Early (Reduce)

    • Hire VA Month 1 (not Month 6 when already burned out)
    • Hire Senior Coach Q3 Y2 (before at capacity, not after)
    • Rule: If task <$100/hour value, delegate
  3. Automate Ruthlessly (Reduce)

    • AI Coach handles 60% of client questions (saves 10h/week)
    • Email sequences automated (onboarding, nurture, renewals)
    • Scheduling: Calendly (no back-and-forth emails)
  4. Peer Support (Reduce)

    • Join CEO peer group (Vistage, EO) - monthly accountability
    • Executive coach for founder ($10K/year)
    • Therapist (mental health is health)

Monitoring Indicators:

  • Hours worked/week (if >55 for 3+ weeks, intervene)
  • Energy level (1-10 self-rating, if <6 for 2+ weeks, red flag)
  • Session quality (if client ratings drop <4.3, sign of burnout)

RISK 5: Key Client Churn (Lose 30%+ Revenue Suddenly)

Description: 3 large ADVISORY clients ($120K each = $360K) churn same quarter

Probability: 2 (Unlikely) - But possible if all hired internal COO Impact: 5 (Critical) - Lose 40%+ of revenue, cash crisis Risk Score: 10 (MEDIUM)

Mitigation Strategies:

  1. Revenue Diversification (Reduce)

    • No single client >15% of revenue (cap ADVISORY at 10 clients max)
    • Balance mix: 10 ADVISORY, 40 TRANSFORM, 50 PLATFORM
    • Result: Losing 1 client = max 2.5% revenue hit (survivable)
  2. Early Warning System (Reduce)

    • Track engagement weekly (if client <30 score, proactive outreach)
    • Quarterly check-ins (ask: "What could we do better?")
    • NPS surveys (Detractors get immediate founder call)
  3. Value Reinforcement (Reduce)

    • Monthly value reports ("This month we helped you: X, Y, Z")
    • ROI tracking (tie our work to their revenue/profit growth)
    • Result: Client sees clear value = less likely to cancel
  4. Contractual Protection (Reduce Impact)

    • 30-day termination notice (gives time to replace revenue)
    • Prepayment (12-month contracts = even if churn, already paid)

Monitoring Indicators:

  • Engagement scores (if 3+ clients drop below 40, investigate)
  • NPS trend (if drops from 60 → 45, systemic issue)
  • Renewal rate (if drops below 75%, business model at risk)

RISK 6: Service Delivery Quality Decline (As We Scale)

Description: Grow from 30 → 100 clients, workshops become impersonal, coaching rushed

Probability: 3 (Possible) - Common scaling challenge Impact: 4 (Major) - NPS drops, referrals dry up, revenue stalls Risk Score: 12 (MEDIUM)

Mitigation Strategies:

  1. Quality Metrics (Monitor)

    • Track: Session ratings, NPS, client outcomes (revenue growth)
    • Target: Maintain 4.5+ rating even at 100 clients
    • Alert: If any metric drops 10%+, pause growth until fixed
  2. Team Training (Reduce)

    • Senior Coach shadowing (6 weeks onboarding, not 2 weeks)
    • Bi-weekly coaching supervision (founder coaches the coach)
    • Certification: Must hit 4.5+ rating for 3 months before solo
  3. Process Standardization (Reduce)

    • Playbooks: Detailed SOPs for every process (onboarding, workshops, QBRs)
    • Templates: Pre-built coaching exercises, discussion guides
    • Result: Consistency across all coaches (client experience uniform)
  4. Client Segmentation (Accept)

    • Founder handles top 10 ADVISORY clients (highest touch)
    • Senior Coach handles TRANSFORM Scale (medium touch)
    • AI + community handles PLATFORM (low touch, scalable)
    • Result: Match service level to willingness to pay

Monitoring Indicators:

  • Session rating trend (if drops from 4.6 → 4.3, quality slipping)
  • Client complaints (if >5% of clients complain, systemic issue)
  • Team utilization (if coaches at >90% capacity, rushing sessions)

💸 FINANCIAL RISKS

RISK 7: Cash Flow Crisis (Run Out of Money Year 1)

Description: Revenue slower than projected, burn through $75K by Month 9

Probability: 3 (Possible) - Startups often miss revenue targets Impact: 5 (Critical) - Can't pay bills, business folds Risk Score: 15 (HIGH)

Mitigation Strategies:

  1. Conservative Projections (Reduce)

    • Budget assumes 30 clients, but have backup plan for 20
    • If only hit 20 clients Year 1 ($120K revenue):
      • Cut expenses: Delay hires, reduce ad spend ($180K → $140K)
      • Founder injects $20K emergency fund (if needed)
      • Result: Survive, grow slower but stay alive
  2. Milestone-Based Spending (Reduce)

    • Don't hire Senior Coach until hit 40 clients (not "Q3 2027")
    • Don't double ad spend until CAC <$3K proven
    • Result: Expenses scale with revenue (not ahead of it)
  3. Flexible Cost Structure (Reduce)

    • 80% variable costs (marketing, contractors) vs 20% fixed (founder salary)
    • Can cut $15K/month expenses in 30 days if emergency
    • Result: Adapt quickly to revenue shortfalls
  4. Early Warning Dashboard (Monitor)

    • Weekly cash flow review (every Monday morning)
    • 13-week rolling cash forecast (predict cash position 3 months out)
    • Alert: If cash <$20K, trigger emergency plan

Emergency Plan (If Cash <$20K):

  1. Pause all non-essential spending (ads, VA hours, subscriptions)
  2. Founder takes no salary for 2 months (save $25K)
  3. Offer prepay discounts (get cash upfront from existing clients)
  4. Inject $25K personal loan (last resort)

Monitoring Indicators:

  • Cash balance (if <$30K, yellow alert; <$15K, red alert)
  • Burn rate (if >$25K/month, unsustainable)
  • Collections (if >10% invoices unpaid 30+ days, tighten credit)

RISK 8: Client Payment Defaults (Bad Debt)

Description: 5-10% of clients don't pay invoices, write off $15K-$50K/year

Probability: 3 (Possible) - SMBs have cash flow issues too Impact: 3 (Moderate) - Lose $15K-$50K revenue Risk Score: 9 (MEDIUM)

Mitigation Strategies:

  1. Prepayment Model (Reduce)

    • Require 50% upfront, 50% at Month 6 (not monthly invoicing)
    • Result: Only risk losing Month 7-12 payments (max 50% exposure)
  2. Auto-Billing (Reduce)

    • Stripe autopay (charge credit card automatically)
    • 90% of clients on autopay = 90% collection rate
    • Result: No "forgot to pay" excuses
  3. Credit Checks (Reduce)

    • For ADVISORY clients ($90K+), check business credit (Dun & Bradstreet)
    • Red flags: Late payments, bankruptcies → Require 100% prepay OR decline
  4. Collections Process (Reduce Impact)

    • Day 1 overdue: Automated email reminder
    • Day 7: Personal email from Ops Manager
    • Day 14: Founder calls client (understand issue, work out payment plan)
    • Day 30: Suspend service (no access to platform, coaching)
    • Day 60: Collections agency (last resort)

Monitoring Indicators:

  • Days Sales Outstanding (DSO): Average days to collect payment (target <15 days)
  • Bad debt %: Total unpaid / Total revenue (target <2%)

RISK 9: Underpricing (Can't Achieve Profitability)

Description: Prices too low ($8,997 TRANSFORM Growth), can't cover costs at scale

Probability: 2 (Unlikely) - Financial model shows 92% gross margin Impact: 4 (Major) - Never profitable, can't scale without external funding Risk Score: 8 (LOW-MEDIUM)

Mitigation Strategies:

  1. Annual Price Increases (Reduce)

    • Increase prices 5-10% every January (vs competitors' 3-5%)
    • Grandfather existing clients (they keep current price for loyalty)
    • New clients pay new price
    • Result: Year 3 price = $10,799 (up from $8,997, +20%)
  2. Value-Based Pricing (Reduce)

    • Track client outcomes (revenue growth, profit increase)
    • If clients average 30% revenue growth ($1M → $1.3M = $300K)...
    • ...then $12K coaching fee = 4% of value created (incredible ROI)
    • Result: Can justify premium pricing
  3. Upsell to Higher Tiers (Increase Revenue)

    • Convert 30% of TRANSFORM Growth → Scale (2.7x price increase)
    • Convert 15% of TRANSFORM Scale → ADVISORY (4-8x price increase)
    • Result: Same # of clients, 40% more revenue

Monitoring Indicators:

  • Gross margin (if drops below 85%, prices too low or costs too high)
  • Client price sensitivity (if >20% object to price, may be too high)
  • Competitor pricing (if they raise prices, follow suit)

💻 TECHNOLOGY RISKS

RISK 10: Platform Outage / Technical Failure

Description: AWS server crash, GBCM Hub down for 8+ hours, clients can't access

Probability: 2 (Unlikely) - AWS 99.99% uptime SLA Impact: 3 (Moderate) - Client frustration, reputation hit, refund requests Risk Score: 6 (LOW)

Mitigation Strategies:

  1. Redundancy (Reduce)

    • Multi-region deployment (us-east-1 primary, us-west-2 backup)
    • Auto-failover (if East Coast down, traffic routes to West Coast <5 min)
    • Result: Single data center failure doesn't bring down platform
  2. Monitoring & Alerts (Detect Fast)

    • Uptime monitoring (Pingdom checks site every 60 seconds)
    • Alert: If down >2 min, SMS + email to founder + DevOps
    • Result: Detect issues in minutes, not hours
  3. Incident Response Plan (Reduce Impact)

    • Playbook: Step-by-step recovery procedures
    • Communication template: "We're aware, working on fix, ETA X hours"
    • Post-mortem: What happened, why, how we'll prevent recurrence
  4. SLA with Clients (Manage Expectations)

    • Promise: 99.5% uptime (43.8 hours downtime/year allowable)
    • Refund policy: If down >8 hours in a month, 10% monthly fee credit
    • Result: Clients know what to expect, refund policy fair

Monitoring Indicators:

  • Uptime % (if drops below 99.5%, investigate root cause)
  • Mean Time to Resolve (MTTR): How fast we fix issues (target <2 hours)
  • Client complaints (if >5 complaints about platform, UX issue)

RISK 11: AI Coach Gives Bad Advice (Liability)

Description: AI recommends illegal strategy or terrible decision, client loses $50K+

Probability: 2 (Unlikely) - GPT-4 is good, but not perfect Impact: 5 (Critical) - Lawsuit, reputation destroyed Risk Score: 10 (MEDIUM)

Mitigation Strategies:

  1. Disclaimers (Reduce Liability)

    • Every AI response includes: "This is AI-generated advice. Verify with your coach or attorney before implementing."
    • Terms of Service: "GBCM not liable for AI Coach recommendations"
    • Result: Legal protection (but not 100% bulletproof)
  2. Human Oversight (Reduce Probability)

    • Review 10% of AI conversations weekly (random sample)
    • Retrain model monthly (fix errors, improve accuracy)
    • Escalation: If AI confidence <70%, route to human coach
  3. Content Filtering (Reduce)

    • Blacklist topics: Legal advice, medical, financial regulations
    • If client asks "Can I deduct X on taxes?", AI says "Ask your CPA"
    • Result: AI stays in lane (strategy, operations, leadership - not legal/financial)
  4. Insurance (Transfer Risk)

    • Professional Liability (E&O) insurance: $1M coverage ($1,200/year)
    • Covers: Negligent advice, errors, omissions
    • Result: If sued, insurance pays legal fees + settlement

Monitoring Indicators:

  • AI accuracy (human coaches rate 10% of responses, track % correct)
  • Client complaints (if any "AI gave bad advice" feedback, investigate immediately)
  • Escalation rate (if >20% of queries escalated to human, AI not ready)

RISK 12: Data Breach / Cyber Attack

Description: Hacker steals client data (emails, business plans, financial info)

Probability: 2 (Unlikely) - Strong security, but no system is 100% safe Impact: 5 (Critical) - GDPR fines ($50K+), lawsuits, reputation destroyed Risk Score: 10 (MEDIUM)

Mitigation Strategies:

  1. Security Best Practices (Reduce)

    • Encryption: TLS 1.3 (in transit), AES-256 (at rest)
    • Access control: MFA required, role-based permissions
    • Penetration testing: Annual audit by security firm ($5K/year)
  2. Data Minimization (Reduce Impact)

    • Only collect what's needed (don't store credit cards - Stripe does)
    • Anonymize analytics (aggregate data, remove PII)
    • Result: If breached, less sensitive data exposed
  3. Incident Response Plan (Reduce Impact)

    • Playbook: If breach detected, notify clients within 72 hours (GDPR requirement)
    • PR strategy: Transparent communication, steps we're taking
    • Legal: Engage attorney immediately (guide us through liability)
  4. Cyber Insurance (Transfer Risk)

    • Cyber Liability insurance: $500K coverage ($800/year)
    • Covers: Breach notification costs, legal fees, regulatory fines
    • Result: Limit out-of-pocket costs to deductible ($5K-$10K)

Monitoring Indicators:

  • Failed login attempts (if spike, could be brute-force attack)
  • Security scan results (quarterly Snyk reports - track vulnerabilities)
  • Compliance audits (annual SOC 2 by Year 3 - pass = good security)

👥 PEOPLE & ORGANIZATION RISKS

RISK 13: Can't Hire Quality Talent (Senior Coach)

Description: Post job, get 50 applicants, none meet bar (need 4.5+ coach)

Probability: 3 (Possible) - Great coaches are rare, competitive market Impact: 4 (Major) - Can't scale beyond 30 clients, growth stalls Risk Score: 12 (MEDIUM)

Mitigation Strategies:

  1. Recruitment Pipeline (Reduce)

    • Start sourcing 6 months before need hire (Q1 2027, not Q3 when desperate)
    • Build relationships with top coaches (coffee chats, no pressure)
    • Result: When ready to hire, have 3-5 warm candidates
  2. Compelling Offer (Reduce)

    • Competitive comp: $100K+ (top 25% for coaches)
    • Equity: 2% (if exit at $5M = $100K bonus)
    • Culture: Autonomy, learning, mission-driven
    • Result: Attract A-players, not B-players
  3. Poach from Competitors (Reduce)

    • Identify top Vistage chairs, EO facilitators (they know our market)
    • Offer better: More $ + equity + tech platform (vs legacy model)
    • Result: Hire proven talent, not unproven
  4. Contract Coach Network (Backup Plan)

    • If can't hire FTE, contract 2-3 coaches (1099, not W2)
    • Pay $100-150/hour (deliver specific workshops, sessions)
    • Result: Scale delivery without full-time commitment

Monitoring Indicators:

  • Application quality (if <10% meet bar, job description unclear)
  • Offer acceptance rate (if <75%, comp or culture not competitive)
  • Time to hire (if >90 days, process too slow)

RISK 14: Key Employee Leaves (Senior Coach Quits)

Description: Senior Coach gets better offer, quits with 30 days notice, 20 clients reassigned

Probability: 3 (Possible) - Turnover is normal (avg 15% annually in services) Impact: 3 (Moderate) - Scramble to cover clients, some churn Risk Score: 9 (MEDIUM)

Mitigation Strategies:

  1. Retention (Reduce Probability)

    • Pay market rate (annual comp reviews, raise if underpaid)
    • Career path (Coach I → II → Senior → Lead → VP)
    • Culture (bi-weekly 1-on-1s, listen to concerns, act on feedback)
    • Result: Happy employees stay (90%+ retention target)
  2. Knowledge Transfer (Reduce Impact)

    • Document everything (playbooks, client notes in CRM)
    • Cross-training (founder shadows Senior Coach occasionally, can step in)
    • Result: If coach leaves, context not lost
  3. Client Relationships (Reduce Impact)

    • Quarterly check-ins: Founder meets all clients (not just coach)
    • Community: Clients connected to GBCM brand, not individual coach
    • Result: If coach leaves, 80%+ clients stay (vs 50% if personal attachment)
  4. Succession Plan (Backup)

    • Always have 1-2 coaches in pipeline (ongoing recruiting)
    • If resignation, activate Plan B: Hire within 60 days
    • Interim: Founder + contract coaches cover (tough but doable for 60 days)

Monitoring Indicators:

  • Employee NPS (annual survey - if <8, at-risk employees)
  • Retention rate (if <85%, culture or comp issue)
  • Exit interviews (if pattern emerges - e.g., "no growth path" - fix it)

RISK 15: Founder Incapacitation (Accident, Illness, Death)

Description: Founder hit by bus, in coma for 6 months, business has no leader

Probability: 1 (Rare) - But impact is catastrophic Impact: 5 (Critical) - Business could fold without founder (Year 1-2) Risk Score: 5 (LOW-MEDIUM)

Mitigation Strategies:

  1. Succession Plan (Reduce Impact)

    • Appoint interim CEO: Senior Coach OR Ops Manager (whoever more capable)
    • Document: "If I'm out >30 days, X person runs company" (in writing)
    • Result: Team knows who's in charge, no chaos
  2. Playbooks & SOPs (Reduce Impact)

    • Document every process (sales, delivery, finance)
    • Notion workspace: Anyone can step in and follow playbooks
    • Result: Business can run without founder for 3-6 months
  3. Life Insurance (Transfer Financial Risk)

    • Term life insurance: $1M policy ($500/year premium)
    • Beneficiary: Spouse/family (can pay bills for 2-3 years while sell business)
    • Result: Family protected financially
  4. Disability Insurance (Transfer Income Risk)

    • Long-term disability: Pays 60% of salary if disabled >90 days
    • Cost: $200/month ($2,400/year)
    • Result: Founder's family has income even if can't work

Monitoring Indicators:

  • Health (annual checkup, maintain fitness - prevention is best mitigation)
  • Document staleness (if playbooks not updated in 6+ months, refresh)

RISK 16: Client Lawsuit (Professional Liability)

Description: Client claims "GBCM gave bad advice, lost $100K, suing for damages"

Probability: 2 (Unlikely) - Haven't had lawsuit in 20 years, but always possible Impact: 4 (Major) - Legal fees $25K-$50K, settlement $50K-$100K, reputation hit Risk Score: 8 (LOW-MEDIUM)

Mitigation Strategies:

  1. Disclaimer & Limits of Liability (Reduce Liability)

    • Contract clause: "GBCM provides coaching, not guarantees. Client makes own decisions."
    • Liability cap: "Total liability limited to fees paid (max $60K)"
    • Result: Hard to sue for $100K when contract says max $60K liability
  2. Quality Delivery (Reduce Probability)

    • High client satisfaction (4.5+ ratings = happy clients don't sue)
    • Document everything (if sued, can prove we gave good advice)
    • Result: Fewer lawsuits, better defense if sued
  3. Professional Liability Insurance (E&O) (Transfer Risk)

    • Coverage: $1M ($1,200/year premium)
    • Covers: Legal defense + settlement/judgment
    • Result: Insurance pays, not founder's personal assets
  4. Early Conflict Resolution (Reduce)

    • If client unhappy, address immediately (don't let fester)
    • Offer refund (lose $20K fee vs $100K lawsuit)
    • Result: Resolve 90% of conflicts before lawyer involved

Monitoring Indicators:

  • Client complaints (if >3/year, investigate root cause)
  • NPS Detractors (if >10%, systemic dissatisfaction)
  • Legal threats (if any "I'm calling my lawyer" comments, escalate to CEO immediately)

RISK 17: Regulatory Compliance Violation (GDPR, CCPA)

Description: Accidentally violate data privacy law, regulator fines $50K+

Probability: 2 (Unlikely) - We're compliant, but laws are complex Impact: 3 (Moderate) - $50K fine, legal fees, bad press Risk Score: 6 (LOW)

Mitigation Strategies:

  1. Compliance Framework (Reduce)

    • GDPR checklist: 20 requirements (consent, portability, erasure, etc.)
    • Annual audit: Legal counsel reviews privacy policy, practices
    • Result: Catch violations before regulator does
  2. Privacy by Design (Reduce)

    • Build compliance into platform (not bolted on later)
    • Example: "Delete account" button (easy for users to exercise rights)
    • Result: Compliance is automatic, not manual
  3. Legal Counsel (Reduce)

    • Retainer attorney (call when unsure about law)
    • Example: "Can we send marketing emails to webinar attendees?" → Ask lawyer
    • Result: Avoid accidental violations

Monitoring Indicators:

  • Regulatory changes (if GDPR updated, review compliance)
  • User complaints (if anyone says "You violated my privacy!", investigate immediately)
  • Audit findings (if annual audit finds gaps, fix within 30 days)

🌍 EXTERNAL & MACRO RISKS

RISK 18: AI Disruption (AI Replaces Human Coaches)

Description: 2028, GPT-6 is so good, clients prefer $50/month AI-only vs $1,000/month hybrid

Probability: 3 (Possible) - AI is improving fast (10x better every 2-3 years) Impact: 5 (Critical) - Entire business model obsolete Risk Score: 15 (HIGH)

Mitigation Strategies:

  1. Embrace AI (Reduce)

    • We're already AI-first (AI Success Coach™)
    • Stay ahead: Upgrade to GPT-5, GPT-6 as released
    • Result: We ARE the AI disruption, not victim of it
  2. Human + AI Hybrid (Reduce)

    • Focus on what humans do best: Empathy, accountability, customization
    • AI handles: Routine questions, content delivery, progress tracking
    • Result: Complement each other (not compete)
  3. Pivot to B2B2B (Pivot if Needed)

    • If AI commoditizes coaching, sell AI platform to other coaches
    • "White-label AI Coach™ for your coaching business ($500/month)"
    • Result: We become SaaS company, not coaching company

Monitoring Indicators:

  • AI capability (test GPT-5 when released - can it replace human coaches?)
  • Client feedback (if clients say "AI is good enough, don't need 1-on-1s", warning sign)
  • Industry trend (if 5+ competitors go AI-only successfully, consider pivot)

RISK 19: Pandemic / Force Majeure (COVID-like Event)

Description: 2027 pandemic, can't hold in-person events, clients cut budgets

Probability: 1 (Rare) - Once-in-100-year event (but just happened 2020) Impact: 3 (Moderate) - GBCM is 80% virtual, so less affected than in-person businesses Risk Score: 3 (LOW)

Mitigation Strategies:

  1. Virtual-First Model (Already Mitigated)

    • 80% of delivery is already online (workshops, coaching, AI, platform)
    • Only 20% in-person (quarterly sessions, annual offsite)
    • Result: Pandemic ≠ business shutdown (vs 2020 when Zoom coaching wasn't proven)
  2. Flexible Delivery (Reduce)

    • In-person events canceled? Switch to virtual (already have tech)
    • Zero switching cost (clients already use Zoom)
  3. Recession-Proof Positioning (Reduce)

    • See RISK 3 strategies (cash reserves, essential positioning)

Monitoring Indicators:

  • Public health alerts (if WHO declares new pandemic, activate contingency plan)
  • Client cancellations (if spike in "postponing coaching due to X", investigate cause)

🛡️ RISK MANAGEMENT FRAMEWORK

Quarterly Risk Review Process

Schedule: Last Friday of Mar, Jun, Sep, Dec (4× per year)

Agenda (90 minutes):

  1. Review Existing Risks (30 min)

    • Are probabilities/impacts still accurate?
    • Update risk scores
    • Mark resolved risks as closed
  2. Identify New Risks (20 min)

    • Brainstorm: What keeps me up at night?
    • Industry changes, competitor moves, internal issues
  3. Prioritize Top 5 Risks (10 min)

    • Focus on highest risk scores (15-25)
    • These get active mitigation plans
  4. Update Mitigation Plans (20 min)

    • For each Top 5 risk: What are we doing? What more should we do?
    • Assign owners, deadlines
  5. Review Monitoring Indicators (10 min)

    • Are we tracking the right metrics?
    • Any indicators flashing red?

Documentation: Update Risk Register (Notion page with all risks tracked)


Risk Register (Dashboard)

Format: Notion database with fields:

  • Risk ID (R1, R2, R3...)
  • Risk Description
  • Category (Market, Operational, Financial, Tech, People, Legal, External)
  • Probability (1-5)
  • Impact (1-5)
  • Risk Score (P × I)
  • Mitigation Plan
  • Owner (who's responsible)
  • Status (Open, Monitoring, Mitigated, Closed)
  • Last Reviewed (date)

Example Entry:

ID: R7
Description: Cash flow crisis Year 1
Category: Financial
Probability: 3
Impact: 5
Risk Score: 15 (HIGH)
Mitigation:
  1. Conservative projections (done)
  2. Milestone-based spending (ongoing)
  3. Flexible cost structure (done)
  4. Emergency plan ($20K backup) (ready)
Owner: Founder (Gregory)
Status: Monitoring
Last Reviewed: 2026-03-28

Crisis Response Protocols

Definition of Crisis: Event causing >$50K immediate loss OR existential threat

Examples:

  • Major client lawsuit ($100K+ claim)
  • Platform hacked, data breached
  • Founder hospitalized >30 days
  • Pandemic shuts down economy

Crisis Response Team:

  • Leader: Founder (if available) OR Senior Coach (if founder incapacitated)
  • Members: All team members + external advisors (attorney, CPA, insurance broker)

Response Steps:

  1. Assess (Hour 1): What happened? How bad? Who's affected?
  2. Contain (Hours 2-6): Stop the bleeding (e.g., take platform offline if hacked)
  3. Communicate (Day 1): Tell clients, team, stakeholders (transparency)
  4. Mitigate (Days 2-7): Execute response plan (e.g., legal defense, PR)
  5. Recover (Weeks 2-8): Return to normal operations
  6. Learn (Month 2): Post-mortem, prevent recurrence

Communication Templates (Pre-Written):

  • Data breach notification (GDPR-compliant)
  • Platform outage update
  • Financial difficulty (if need to ask clients for patience)

📊 TOP 10 RISKS SUMMARY (Prioritized)

Rank Risk Score Category Status
1 Market Saturation 16 Market Mitigating (niche focus, AI differentiation)
2 Founder Burnout 16 People Mitigating (boundaries, delegation, automation)
3 Cash Flow Crisis (Y1) 15 Financial Monitoring (weekly cash review, buffer)
4 Recession / Economic Downturn 15 External Prepared (diversification, reserves, pivot plan)
5 AI Disruption 15 External Embracing (we're AI-first, continuous upgrade)
6 Service Quality Decline (Scaling) 12 Operational Monitoring (quality metrics, training, SOPs)
7 Well-Funded Competitor 12 Market Monitoring (first-mover, relationship moat)
8 Can't Hire Quality Talent 12 People Mitigating (pipeline, compelling offer, backup)
9 Key Client Churn 10 Operational Mitigating (diversification, engagement tracking)
10 AI Coach Bad Advice 10 Technology Mitigating (oversight, disclaimers, insurance)

Overall Risk Profile: MEDIUM-HIGH (Year 1 is riskiest, de-risks over time)

Trend: Risks decrease as business matures

  • Year 1: HIGH risk (unproven model, thin cash, solo founder)
  • Year 2: MEDIUM risk (validated model, team, cashflow+)
  • Year 3: LOW-MEDIUM risk (profitable, diversified, established brand)

📌 CONCLUSION

GBCM LLC face des risques significatifs (comme toute startup), mais avec des stratégies de mitigation proactives:

Market Risks: Différenciation claire (AI, méthodologies, niche focus) Operational Risks: Processes, metrics, quality controls Financial Risks: Conservative projections, cash buffers, flexible costs Technology Risks: Redundancy, security, insurance People Risks: Retention strategies, succession plans, documentation Legal Risks: Strong contracts, insurance, compliance framework External Risks: Adaptability (AI-first, virtual-first, recession pivots)

Key Success Factor: Vigilance - Review risks quarterly, monitor indicators, adapt plans as needed

Next: Section 13 - Milestones & KPIs


© 2025 GBCM LLC - Business Plan v2.0 | Risk Analysis & Mitigation