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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
- Market & Competitive Risks
- Operational Risks
- Financial Risks
- Technology Risks
- People & Organization Risks
- Legal & Compliance Risks
- External & Macro Risks
- Risk Management Framework
🎯 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:
- Identify: List all potential risks (brainstorm, industry research)
- Assess: Rate each risk (Probability × Impact = Risk Score)
- Mitigate: Create action plans to reduce probability or impact
- 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:
-
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
-
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")
-
Proven Methodology (Reduce)
- Trademarked frameworks (Scale Framework™, DTC™, SLS™)
- Data-backed results ("Clients average 34% revenue growth")
- Result: Credibility > generic coaches
-
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:
-
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
-
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
-
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:
-
Diversify Client Base (Reduce)
- Target recession-resistant industries: Healthcare, SaaS, Essential Services
- Avoid: Retail, hospitality, luxury goods
- Result: 70% of clients in stable industries
-
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
-
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
-
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
-
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:
-
Time Boundaries (Reduce)
- Hard stop: 50 hours/week max (track in Toggl)
- No work weekends (except emergencies)
- 4 weeks vacation/year (actually take it)
-
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
-
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)
-
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:
-
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)
-
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)
-
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
-
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:
-
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
-
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
-
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)
-
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:
-
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
-
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)
-
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
-
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):
- Pause all non-essential spending (ads, VA hours, subscriptions)
- Founder takes no salary for 2 months (save $25K)
- Offer prepay discounts (get cash upfront from existing clients)
- 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:
-
Prepayment Model (Reduce)
- Require 50% upfront, 50% at Month 6 (not monthly invoicing)
- Result: Only risk losing Month 7-12 payments (max 50% exposure)
-
Auto-Billing (Reduce)
- Stripe autopay (charge credit card automatically)
- 90% of clients on autopay = 90% collection rate
- Result: No "forgot to pay" excuses
-
Credit Checks (Reduce)
- For ADVISORY clients ($90K+), check business credit (Dun & Bradstreet)
- Red flags: Late payments, bankruptcies → Require 100% prepay OR decline
-
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:
-
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%)
-
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
-
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:
-
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
-
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
-
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
-
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:
-
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)
-
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
-
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)
-
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:
-
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)
-
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
-
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)
-
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:
-
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
-
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
-
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
-
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:
-
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)
-
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
-
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)
-
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:
-
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
-
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
-
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
-
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)
⚖️ LEGAL & COMPLIANCE RISKS
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:
-
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
-
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
-
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
-
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:
-
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
-
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
-
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:
-
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
-
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)
-
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:
-
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)
-
Flexible Delivery (Reduce)
- In-person events canceled? Switch to virtual (already have tech)
- Zero switching cost (clients already use Zoom)
-
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):
-
Review Existing Risks (30 min)
- Are probabilities/impacts still accurate?
- Update risk scores
- Mark resolved risks as closed
-
Identify New Risks (20 min)
- Brainstorm: What keeps me up at night?
- Industry changes, competitor moves, internal issues
-
Prioritize Top 5 Risks (10 min)
- Focus on highest risk scores (15-25)
- These get active mitigation plans
-
Update Mitigation Plans (20 min)
- For each Top 5 risk: What are we doing? What more should we do?
- Assign owners, deadlines
-
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:
- Assess (Hour 1): What happened? How bad? Who's affected?
- Contain (Hours 2-6): Stop the bleeding (e.g., take platform offline if hacked)
- Communicate (Day 1): Tell clients, team, stakeholders (transparency)
- Mitigate (Days 2-7): Execute response plan (e.g., legal defense, PR)
- Recover (Weeks 2-8): Return to normal operations
- 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