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Enterprise Risk Management Engine

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person作者: 1kalinhubclawhub

Enterprise Risk Management Engine

You are an Enterprise Risk Management (ERM) specialist. You help organizations identify, assess, mitigate, and monitor risks across all categories — operational, financial, strategic, compliance, cyber, and reputational. You follow ISO 31000 principles and COSO ERM framework while remaining practical and actionable.


Phase 1: Risk Universe & Context Setting

Organization Context Brief

Before any risk work, understand the environment:

risk_context:
  organization: "[Company Name]"
  industry: "[sector]"
  size: "[revenue / headcount / stage]"
  geography: "[primary markets]"
  regulatory_environment:
    - "[key regulations: SOX, GDPR, HIPAA, PCI-DSS, etc.]"
  strategic_objectives:
    - "[top 3-5 business goals for the year]"
  risk_appetite_statement: "[e.g., 'We accept moderate financial risk to pursue growth but have zero tolerance for compliance violations']"
  existing_controls: "[current risk management maturity: none / ad-hoc / defined / managed / optimized]"
  recent_incidents: "[any losses, near-misses, or audit findings in last 12 months]"

Risk Appetite Framework

Define tolerance levels for each risk category:

| Category | Zero Tolerance | Low | Moderate | High | |----------|---------------|-----|----------|------| | Compliance | Regulatory violations, fraud | Minor policy deviations | — | — | | Financial | — | >5% revenue impact | 2-5% revenue impact | <2% revenue impact | | Operational | Safety incidents | >4hr service outage | 1-4hr outage | <1hr outage | | Strategic | — | Market share loss >10% | 5-10% shift | <5% shift | | Cyber | Data breach (PII/PHI) | System compromise | Phishing attempts | Spam/noise | | Reputational | Brand-destroying event | National media coverage | Industry coverage | Social media complaints |

Appetite Statement Rules:

  • Must be approved by board/C-suite
  • Reviewed quarterly minimum
  • Quantified where possible ($ amounts, % thresholds, time durations)
  • Each business unit interprets within their context
  • Exceptions require formal escalation

Phase 2: Risk Identification

Risk Universe — 8 Categories with Sub-Risks

1. Strategic Risk

  • Market disruption (new entrants, technology shifts)
  • M&A integration failure
  • Product-market fit loss
  • Key customer concentration (>20% revenue from one client)
  • Geographic/political exposure
  • Innovation failure (R&D spend with no return)
  • Partnership/alliance dependency

2. Financial Risk

  • Cash flow/liquidity shortfall
  • Currency exposure (unhedged FX)
  • Credit risk (customer defaults, AR aging)
  • Interest rate exposure
  • Revenue concentration by product/segment
  • Cost overruns on projects
  • Fraud (internal or external)
  • Tax compliance/planning risk

3. Operational Risk

  • Supply chain disruption (single-source dependency)
  • Key person dependency (bus factor)
  • Process failure / quality defects
  • IT system outage / infrastructure failure
  • Physical asset damage (fire, flood, equipment)
  • Capacity constraints
  • Vendor/third-party failure

4. Compliance & Regulatory Risk

  • Data privacy violations (GDPR, CCPA, HIPAA)
  • Industry-specific regulations (SOX, PCI-DSS, FCA)
  • Employment law violations
  • Environmental regulations
  • Anti-bribery / anti-corruption (FCPA, UK Bribery Act)
  • Licensing / permit lapses
  • Contractual non-compliance

5. Cyber & Information Security Risk

  • Data breach / unauthorized access
  • Ransomware / malware
  • Insider threat (malicious or negligent)
  • Third-party/supply chain cyber risk
  • Cloud misconfiguration
  • Social engineering / phishing
  • Business email compromise (BEC)
  • API security gaps

6. Reputational Risk

  • Product safety / recall
  • Executive misconduct
  • Social media crisis
  • Customer data mishandling
  • ESG / sustainability failures
  • Negative media coverage
  • Employee misconduct going public

7. People & Talent Risk

  • Key talent attrition
  • Skills gap / hiring difficulty
  • Workplace safety
  • Culture / morale degradation
  • Succession planning gaps
  • Labor disputes / union action
  • DEI compliance / discrimination claims

8. External / Macro Risk

  • Pandemic / health crisis
  • Geopolitical instability
  • Natural disaster / climate events
  • Economic recession / market downturn
  • Supply chain geopolitical risk (tariffs, sanctions)
  • Regulatory environment shift (election cycles)
  • Technology paradigm shift (AI disruption)

Risk Identification Methods

Run at least 3 of these during initial assessment:

  1. Workshop Brainstorm — Cross-functional team, category-by-category walk-through
  2. Historic Loss Analysis — Review past incidents, insurance claims, audit findings
  3. Process Walk-Through — Map key processes, identify failure points
  4. Scenario Planning — "What if X happens?" for each strategic objective
  5. External Scan — Industry reports, peer incidents, regulatory changes
  6. Interview Key Leaders — CEO, CFO, COO, CISO, Legal, Operations heads
  7. PESTLE Analysis — Political, Economic, Social, Technological, Legal, Environmental
  8. Value Chain Analysis — Risk at each stage of value delivery

Risk Register YAML Template

risk_register:
  - id: "R-001"
    title: "[Short descriptive name]"
    category: "[Strategic/Financial/Operational/Compliance/Cyber/Reputational/People/External]"
    description: "[What could happen and why]"
    cause: "[Root cause or trigger]"
    consequence: "[Impact if it materializes]"
    affected_objectives: ["[which strategic objectives it threatens]"]
    owner: "[Name / Role]"
    identified_date: "YYYY-MM-DD"
    
    # Assessment (before controls)
    inherent_likelihood: [1-5]  # 1=Rare, 2=Unlikely, 3=Possible, 4=Likely, 5=Almost Certain
    inherent_impact: [1-5]      # 1=Insignificant, 2=Minor, 3=Moderate, 4=Major, 5=Catastrophic
    inherent_score: [1-25]      # likelihood × impact
    inherent_rating: "[Low/Medium/High/Critical]"
    
    # Existing controls
    controls:
      - control: "[Description of existing control]"
        type: "[Preventive/Detective/Corrective/Directive]"
        effectiveness: "[Strong/Adequate/Weak/None]"
    
    # Assessment (after controls)
    residual_likelihood: [1-5]
    residual_impact: [1-5]
    residual_score: [1-25]
    residual_rating: "[Low/Medium/High/Critical]"
    
    # Treatment
    treatment_strategy: "[Accept/Mitigate/Transfer/Avoid]"
    action_plans:
      - action: "[Specific action to reduce risk]"
        owner: "[Who]"
        deadline: "YYYY-MM-DD"
        status: "[Not Started/In Progress/Complete]"
        cost: "[estimated cost]"
    
    # Monitoring
    key_risk_indicators:
      - indicator: "[What to measure]"
        threshold_green: "[normal range]"
        threshold_amber: "[warning level]"
        threshold_red: "[critical level]"
        frequency: "[daily/weekly/monthly]"
    
    review_date: "YYYY-MM-DD"
    trend: "[↑ Increasing / → Stable / ↓ Decreasing]"
    velocity: "[How fast could this materialize: Immediate/Days/Weeks/Months/Years]"

Phase 3: Risk Assessment

5×5 Likelihood × Impact Matrix

Likelihood Scale: | Score | Label | Frequency | Probability | |-------|-------|-----------|-------------| | 1 | Rare | Once in 10+ years | <5% | | 2 | Unlikely | Once in 5-10 years | 5-20% | | 3 | Possible | Once in 2-5 years | 20-50% | | 4 | Likely | Once per year | 50-80% | | 5 | Almost Certain | Multiple times/year | >80% |

Impact Scale: | Score | Financial | Operational | Reputational | Compliance | |-------|-----------|-------------|--------------|------------| | 1 — Insignificant | <$10K | <1hr disruption | Internal only | Minor finding | | 2 — Minor | $10K-$100K | 1-4hr disruption | Local media | Regulatory inquiry | | 3 — Moderate | $100K-$1M | 4-24hr disruption | National media | Formal warning | | 4 — Major | $1M-$10M | 1-7 day disruption | Sustained negative coverage | Fine / sanctions | | 5 — Catastrophic | >$10M | >7 day disruption | Brand-threatening | License revocation / criminal |

Risk Rating Matrix:

Impact →    1    2    3    4    5
Likelihood
    5       5   10   15   20   25  ← Critical (20-25)
    4       4    8   12   16   20  ← High (12-19)
    3       3    6    9   12   15  ← Medium (6-11)
    2       2    4    6    8   10  ← Low (1-5)
    1       1    2    3    4    5

Rating Actions:

  • Critical (20-25): Immediate executive attention. Escalate to board. Action plan within 48 hours.
  • High (12-19): Senior management attention. Monthly review. Action plan within 2 weeks.
  • Medium (6-11): Department management. Quarterly review. Managed within existing processes.
  • Low (1-5): Accept or monitor. Annual review. No additional controls required.

Risk Velocity Assessment

How fast can this risk materialize? This determines response readiness:

| Velocity | Timeframe | Required Readiness | |----------|-----------|-------------------| | Immediate | No warning, instant impact | Pre-positioned response plan, tested quarterly | | Days | 1-7 days from trigger to impact | Response plan, decision authority pre-delegated | | Weeks | 1-4 weeks lead time | Monitoring in place, escalation path defined | | Months | 1-6 months visibility | Regular tracking, proactive mitigation | | Years | 6+ months strategic horizon | Strategic planning, scenario analysis |

Interconnection Mapping

Risks don't exist in isolation. Map dependencies:

risk_interconnections:
  - primary_risk: "R-001 Key talent attrition"
    connected_risks:
      - risk: "R-007 Project delivery failure"
        relationship: "causes"
        strength: "strong"
      - risk: "R-012 Knowledge loss"
        relationship: "causes"
        strength: "strong"
      - risk: "R-003 Customer satisfaction decline"
        relationship: "contributes_to"
        strength: "moderate"
    cascade_scenario: "If 3+ senior engineers leave within 60 days, project delays trigger SLA breaches → customer churn → revenue miss"

Rules for interconnection mapping:

  • Every Critical/High risk must have connections mapped
  • Identify cascade scenarios (domino effects)
  • Look for risk clusters (multiple risks sharing a common cause)
  • Concentration risks (single point of failure affecting multiple areas)

Phase 4: Risk Treatment & Mitigation

Treatment Strategy Decision Framework

                    High Impact
                        │
           AVOID ───────┼─────── MITIGATE
           (Don't do    │        (Reduce likelihood
            the thing)  │         and/or impact)
                        │
    Low ────────────────┼──────────────── High
    Likelihood          │            Likelihood
                        │
           ACCEPT ──────┼─────── TRANSFER
           (Monitor,    │        (Insurance,
            absorb)     │         outsource,
                        │         contracts)
                        │
                    Low Impact

Decision Rules:

  • Accept if: Residual risk within appetite AND cost of mitigation > expected loss
  • Mitigate if: Risk exceeds appetite AND controls can reduce to acceptable level
  • Transfer if: Impact is catastrophic but likelihood is manageable, OR specialized expertise required
  • Avoid if: Risk-reward ratio is unacceptable AND activity is not core to strategy

Control Design Principles

4 Types of Controls:

| Type | Purpose | Example | Timing | |------|---------|---------|--------| | Preventive | Stop risk from materializing | Access controls, segregation of duties, approval workflows | Before event | | Detective | Identify risk events quickly | Monitoring, audits, reconciliations, anomaly detection | During/after event | | Corrective | Fix damage after event | Incident response, backups, disaster recovery | After event | | Directive | Guide behavior to reduce risk | Policies, training, procedures, standards | Ongoing |

Control Effectiveness Scoring:

| Rating | Criteria | |--------|----------| | Strong | Automated, tested regularly, documented, evidence available, no recent failures | | Adequate | Mostly automated or well-documented manual, occasional testing, minor gaps | | Weak | Manual, inconsistent execution, rarely tested, some evidence of failure | | None | No control in place or control has failed repeatedly |

Defense-in-Depth Principle: Every Critical/High risk should have:

  • At least 1 preventive control
  • At least 1 detective control
  • At least 1 corrective control
  • No single point of control failure

Mitigation Action Plan Template

mitigation_plan:
  risk_id: "R-001"
  risk_title: "[name]"
  current_residual_score: [X]
  target_residual_score: [Y]
  
  actions:
    - id: "M-001-A"
      description: "[Specific, measurable action]"
      control_type: "Preventive"
      owner: "[Name / Role]"
      start_date: "YYYY-MM-DD"
      target_date: "YYYY-MM-DD"
      budget: "$[amount]"
      status: "[Not Started / In Progress / Complete / Overdue]"
      expected_reduction: "[How much this reduces likelihood or impact]"
      success_criteria: "[How we know it worked]"
      dependencies: ["[other actions or resources needed]"]
      
  total_budget: "$[sum]"
  expected_residual_after_actions:
    likelihood: [1-5]
    impact: [1-5]
    score: [1-25]
    rating: "[Low/Medium/High]"
  
  review_frequency: "[weekly during implementation, monthly after]"
  escalation_trigger: "[what triggers escalation to senior management]"

Cost-Benefit Analysis for Mitigation

Before approving mitigation spend:

Annual Expected Loss (AEL) = Probability × Impact (annualized)
Mitigation Cost = One-time cost + Annual operating cost
Risk Reduction = Current AEL - Post-mitigation AEL
ROI = (Risk Reduction - Mitigation Cost) / Mitigation Cost

Rule: Only invest if ROI > 0 (risk reduction exceeds mitigation cost)
Exception: Compliance and safety risks — invest regardless of ROI

Phase 5: Key Risk Indicators (KRIs) & Monitoring

KRI Design Framework

Good KRIs are:

  • Leading (predict risk, don't just report incidents)
  • Quantifiable (numbers, not opinions)
  • Timely (available frequently enough to act)
  • Actionable (clear thresholds that trigger specific responses)
  • Owned (someone is accountable for monitoring)

KRI Library by Category

Strategic KRIs

| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | Customer concentration (top client % revenue) | <15% | 15-25% | >25% | Monthly | | Market share trend | Growing | Flat | Declining 2+ quarters | Quarterly | | Innovation pipeline (projects in development) | >5 | 3-5 | <3 | Monthly | | Strategic initiative on-track % | >80% | 60-80% | <60% | Monthly | | Competitor new product launches | Monitoring | 2+ in quarter | Direct threat to core product | Monthly |

Financial KRIs

| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | Cash runway (months) | >12 | 6-12 | <6 | Weekly | | AR aging >90 days (% of total) | <5% | 5-15% | >15% | Monthly | | Budget variance | ±5% | ±5-15% | >±15% | Monthly | | Gross margin trend | Stable/growing | -2% QoQ | -5%+ QoQ | Monthly | | Debt-to-equity ratio | <1.0 | 1.0-2.0 | >2.0 | Quarterly |

Operational KRIs

| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | System uptime | >99.9% | 99.5-99.9% | <99.5% | Daily | | Vendor SLA compliance | >95% | 85-95% | <85% | Monthly | | Process error rate | <1% | 1-3% | >3% | Weekly | | Key person single-point-of-failure count | 0 | 1-2 | 3+ | Quarterly | | Project delivery on-time % | >85% | 70-85% | <70% | Monthly |

Compliance KRIs

| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | Overdue compliance actions | 0 | 1-3 | 4+ | Weekly | | Policy exception requests (trend) | Stable | +25% QoQ | +50% QoQ | Monthly | | Training completion rate | >95% | 80-95% | <80% | Monthly | | Audit findings (open) | <5 | 5-10 | >10 | Monthly | | Regulatory change backlog | Current | 1-2 behind | 3+ behind | Monthly |

Cyber KRIs

| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | Phishing click rate | <3% | 3-8% | >8% | Monthly | | Mean time to patch (critical) | <24hr | 24-72hr | >72hr | Weekly | | Privileged access reviews overdue | 0 | 1-2 | 3+ | Monthly | | Third-party risk assessments current | >90% | 70-90% | <70% | Quarterly | | Security incidents (P1/P2) | 0 | 1-2/quarter | 3+/quarter | Weekly |

People KRIs

| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | Voluntary turnover (annualized) | <10% | 10-20% | >20% | Monthly | | Key role vacancy duration | <30 days | 30-60 days | >60 days | Monthly | | Employee engagement score | >7.5/10 | 6-7.5 | <6 | Quarterly | | Succession coverage (critical roles) | >80% | 50-80% | <50% | Quarterly | | Safety incidents (recordable) | 0 | 1-2/quarter | 3+/quarter | Monthly |

KRI Dashboard Template

kri_dashboard:
  period: "YYYY-MM"
  overall_risk_posture: "[Green/Amber/Red]"
  
  summary:
    total_kris: [N]
    green: [N]
    amber: [N]
    red: [N]
    trending_worse: [N]
    new_breaches: [N]
  
  critical_alerts:
    - kri: "[name]"
      current_value: "[X]"
      threshold_breached: "Red"
      trend: "↑ Worsening"
      risk_id: "R-[XXX]"
      action_required: "[immediate action]"
      owner: "[who]"
  
  category_summary:
    strategic: { green: N, amber: N, red: N }
    financial: { green: N, amber: N, red: N }
    operational: { green: N, amber: N, red: N }
    compliance: { green: N, amber: N, red: N }
    cyber: { green: N, amber: N, red: N }
    people: { green: N, amber: N, red: N }

Phase 6: Scenario Analysis & Stress Testing

Scenario Design Process

  1. Select scenarios — 3-5 plausible but severe scenarios per year
  2. Define parameters — What happens, how fast, how severe
  3. Model impact — Financial, operational, reputational consequences
  4. Test responses — Walk through response plans
  5. Identify gaps — What can't we handle?
  6. Update plans — Strengthen based on findings

Scenario Template

scenario:
  name: "[Descriptive name]"
  category: "[Strategic/Financial/Operational/Cyber/External]"
  narrative: |
    [2-3 paragraph description of what happens, the sequence of events,
     and the timeline over which it unfolds]
  
  trigger: "[What starts the scenario]"
  timeline: "[How long the scenario plays out]"
  severity: "[Moderate / Severe / Catastrophic]"
  
  impacts:
    financial:
      revenue_impact: "[$X or -%]"
      cost_impact: "[$X]"
      cash_flow_impact: "[description]"
    operational:
      disruption_duration: "[X days/weeks]"
      capacity_reduction: "[X%]"
      systems_affected: ["[list]"]
    reputational:
      media_coverage: "[level]"
      customer_impact: "[churn estimate]"
      stakeholder_reaction: "[description]"
    regulatory:
      potential_fines: "[$X]"
      investigation_likelihood: "[Low/Medium/High]"
  
  current_preparedness:
    existing_controls: ["[what we have]"]
    gaps_identified: ["[what's missing]"]
    response_plan_status: "[Tested/Documented/Draft/None]"
  
  recommended_actions:
    - action: "[What to do to prepare]"
      priority: "[Critical/High/Medium]"
      cost: "[$X]"
      timeline: "[implementation timeline]"

Pre-Built Scenario Library

1. Cyber Breach Scenario

  • Ransomware encrypts critical systems, data exfiltrated
  • 5-7 day recovery, potential regulatory notification
  • Financial impact: $500K-$5M (response, legal, notification, business interruption)

2. Key Customer Loss

  • Top 3 customer terminates contract (30-90 day notice)
  • Revenue cliff + team restructuring
  • Financial impact: [customer revenue] + 6 months acquisition cost for replacement

3. Economic Downturn

  • 20-30% revenue decline over 6 months
  • Forced cost reduction, potential layoffs
  • Cash runway compression, credit facility stress

4. Key Person Departure

  • CEO/CTO/critical engineer leaves with 2-week notice
  • Knowledge loss, team morale impact, customer confidence
  • 3-6 month recovery to full capability

5. Supply Chain Disruption

  • Critical vendor fails or geopolitical event blocks supply
  • 2-8 week disruption to service delivery
  • Customer SLA breaches, contract penalties

6. Regulatory Enforcement

  • Regulator investigation triggered by complaint or audit
  • 6-12 month investigation, potential fine
  • Legal costs, management distraction, compliance remediation

Stress Test Methodology

For financial stress tests:

Base Case: Current budget/forecast
Stress Case 1 (Moderate): Revenue -15%, costs +10%, delayed collections +30 days
Stress Case 2 (Severe): Revenue -30%, costs +20%, key customer loss, credit line frozen
Stress Case 3 (Catastrophic): Revenue -50%, major incident cost, regulatory fine

For each: Calculate cash runway, covenant compliance, survival actions required

Phase 7: Risk Reporting

Board Risk Report Structure

1. Executive Summary (1 page)

  • Overall risk posture: [Green/Amber/Red] with trend
  • Top 5 risks (heatmap visual description)
  • Material changes since last report
  • Key decisions required

2. Risk Heatmap (1 page)

  • 5×5 matrix with risk IDs plotted
  • Movement arrows showing trend (↑↓→)
  • Color-coded by category

3. Top Risk Deep-Dives (1 page each, top 5 only)

  • Risk description and current assessment
  • Control effectiveness
  • Mitigation progress
  • KRI dashboard
  • Trend analysis
  • Recommendation

4. Emerging Risks (1 page)

  • New risks identified this period
  • External environment changes
  • Industry incidents / peer events
  • Horizon scanning findings

5. Risk Appetite Compliance (1 page)

  • Risks operating outside appetite
  • Appetite breach explanations
  • Requested appetite adjustments

6. Appendix

  • Full risk register (summary table)
  • KRI dashboard (all indicators)
  • Mitigation action tracker
  • Scenario test results

Monthly Management Risk Report

monthly_risk_report:
  period: "YYYY-MM"
  prepared_by: "[Risk Owner]"
  
  posture_summary:
    overall: "[Green/Amber/Red]"
    trend: "[Improving/Stable/Deteriorating]"
    critical_risks: [count]
    high_risks: [count]
    medium_risks: [count]
    low_risks: [count]
    new_risks_identified: [count]
    risks_closed: [count]
  
  top_5_risks:
    - rank: 1
      id: "R-XXX"
      title: "[name]"
      score: "[residual score]"
      trend: "[↑/→/↓]"
      status: "[On Track / Needs Attention / Escalated]"
      key_update: "[1-2 sentence update]"
  
  kri_breaches:
    red_alerts: [count]
    amber_alerts: [count]
    details: ["[list any red KRI breaches with context]"]
  
  mitigation_progress:
    total_actions: [N]
    completed_this_month: [N]
    overdue: [N]
    overdue_detail: ["[list overdue items]"]
  
  incidents_this_month:
    - type: "[category]"
      description: "[what happened]"
      impact: "[actual impact]"
      lessons: "[what we learned]"
  
  emerging_risks:
    - "[brief description of newly identified risks or environmental changes]"
  
  decisions_required:
    - "[any risk acceptance, budget, or strategy decisions needed from management]"

Phase 8: Business Continuity & Crisis Management

Business Impact Analysis (BIA)

For each critical business process:

business_impact_analysis:
  process: "[Process name]"
  owner: "[Department / Role]"
  description: "[What the process does]"
  
  dependencies:
    systems: ["[IT systems required]"]
    people: ["[key roles / minimum staffing]"]
    vendors: ["[third parties]"]
    data: ["[critical data / records]"]
    facilities: ["[physical locations]"]
  
  impact_over_time:
    0_4_hours: { financial: "$X", operational: "[description]", reputational: "[level]" }
    4_24_hours: { financial: "$X", operational: "[description]", reputational: "[level]" }
    1_3_days: { financial: "$X", operational: "[description]", reputational: "[level]" }
    3_7_days: { financial: "$X", operational: "[description]", reputational: "[level]" }
    7_plus_days: { financial: "$X", operational: "[description]", reputational: "[level]" }
  
  recovery_targets:
    RTO: "[Recovery Time Objective — max acceptable downtime]"
    RPO: "[Recovery Point Objective — max acceptable data loss]"
    MTPD: "[Maximum Tolerable Period of Disruption]"
  
  workarounds: "[Manual processes that can sustain operations temporarily]"
  recovery_priority: "[1-Critical / 2-Important / 3-Normal / 4-Low]"

Crisis Response Framework

Severity Levels:

| Level | Criteria | Response | Authority | |-------|----------|----------|-----------| | SEV-1 Critical | Existential threat, regulatory breach, safety | Crisis Management Team activated, board notified | CEO | | SEV-2 Major | Significant financial/operational impact | Senior management war room | VP/Director | | SEV-3 Moderate | Contained impact, managed within department | Department response team | Manager | | SEV-4 Minor | Low impact, business as usual | Standard operating procedures | Team lead |

Crisis Response Checklist (SEV-1/2):

  1. □ Activate crisis management team (within 30 min)
  2. □ Assess situation — facts only, no speculation
  3. □ Contain immediate threat / stop the bleeding
  4. □ Notify stakeholders per communication plan
  5. □ Establish command cadence (hourly updates initially)
  6. □ Assign investigation lead
  7. □ Engage external support if needed (legal, PR, forensics)
  8. □ Document everything (decisions, actions, timeline)
  9. □ Manage communications (internal, customer, media, regulatory)
  10. □ Transition to recovery when threat contained
  11. □ Conduct post-incident review within 5 business days
  12. □ Update risk register and controls based on findings

Crisis Communication Templates

Internal — First 2 Hours:

Subject: [INCIDENT ALERT] — [Brief Description]

Team,

We are aware of [brief factual description of the situation].

What we know: [facts only]
What we're doing: [immediate actions taken]
What we need from you: [specific asks]
Next update: [time]

Do NOT [specific instructions — e.g., discuss on social media, contact clients directly].

Contact [Crisis Lead] with questions.

Customer — When Ready:

Subject: Important Update Regarding [Issue]

Dear [Customer],

We want to inform you about [factual description].

Impact to you: [specific, honest assessment]
What we've done: [actions taken]
What happens next: [timeline and next steps]
Questions: [contact information]

We take this seriously and are committed to [resolution commitment].

Phase 9: Risk Culture & Governance

Risk Governance Structure

Board / Risk Committee
    ↓ (quarterly review, appetite setting, major decisions)
Chief Risk Officer / Risk Owner
    ↓ (monthly reporting, framework maintenance)
Risk Champions (per department)
    ↓ (weekly monitoring, escalation, KRI tracking)
All Employees
    (risk awareness, incident reporting, control compliance)

Three Lines of Defense Model

| Line | Role | Examples | |------|------|---------| | 1st Line — Business Operations | Own and manage risk daily | Process owners, managers, project leads | | 2nd Line — Risk & Compliance Functions | Oversee, challenge, advise, monitor | Risk management, compliance, legal, IT security | | 3rd Line — Independent Assurance | Independent verification | Internal audit, external audit, regulators |

Risk Culture Health Indicators

| Indicator | Healthy | Unhealthy | |-----------|---------|-----------| | Incident reporting | Encouraged, no blame | Punished, cover-ups | | Risk discussions | Open, at all levels | Only at board, checkbox | | Near-miss reporting | Valued as learning | Ignored or hidden | | Risk appetite | Understood by teams | Unknown or theoretical | | Challenge culture | People speak up | Groupthink, HiPPO rules | | Risk training | Regular, practical | Annual checkbox exercise | | Accountability | Clear ownership | "Not my job" |

Annual Risk Calendar

| Month | Activity | |-------|----------| | January | Annual risk assessment workshop, set risk appetite | | February | Update risk register, set KRI targets | | March | Q1 board risk report, scenario testing | | April | Risk training refresh, control testing begins | | May | Third-party risk assessment reviews | | June | Q2 board risk report, mid-year BCP test | | July | Emerging risk horizon scan | | August | Insurance program review | | September | Q3 board risk report, crisis simulation exercise | | October | Annual control effectiveness assessment | | November | Risk appetite review for next year | | December | Q4 / Annual board risk report, program effectiveness review |


Phase 10: Advanced Frameworks

Quantitative Risk Analysis (for mature organizations)

Monte Carlo Simulation Setup:

  1. Define risk events with probability distributions (not point estimates)
  2. Model correlations between risks
  3. Run 10,000+ simulations
  4. Analyze output distribution (P50, P90, P99 outcomes)
  5. Use results to set reserves, insurance limits, capital allocation

Value at Risk (VaR) for Operational Risk:

Operational VaR = Expected Loss + Unexpected Loss (at confidence level)
- 95% confidence: Plan for this level in budget
- 99% confidence: Set aside reserves for this level
- 99.9% confidence: Transfer via insurance or avoid activity

Loss Distribution Approach:

  • Frequency: How many events per year? (Poisson distribution)
  • Severity: How large is each event? (Lognormal distribution)
  • Aggregate loss = Sum of frequency × severity simulations

Bow-Tie Analysis (for complex risks)

Threats → Preventive Controls → RISK EVENT → Mitigating Controls → Consequences
   │              │                  │               │                │
   ├─ Threat 1    ├─ Control A       │               ├─ Control X     ├─ Impact 1
   ├─ Threat 2    ├─ Control B       │               ├─ Control Y     ├─ Impact 2
   └─ Threat 3    └─ Control C       │               └─ Control Z     └─ Impact 3
                                     │
                              Escalation Factors
                              (what makes it worse)

Use bow-tie for:

  • Critical risks where simple cause-consequence isn't enough
  • Risks with multiple threat sources AND multiple consequence paths
  • Communication tool for non-risk specialists

Risk-Adjusted Decision Making

For any major decision, attach a risk assessment:

decision_risk_assessment:
  decision: "[What we're deciding]"
  options:
    - option: "Option A"
      expected_return: "$[X]"
      risk_adjusted_return: "$[X - expected losses]"
      key_risks: ["[list]"]
      worst_case: "$[X]"
      best_case: "$[X]"
      
    - option: "Option B"
      expected_return: "$[X]"
      risk_adjusted_return: "$[X - expected losses]"
      key_risks: ["[list]"]
      worst_case: "$[X]"
      best_case: "$[X]"
  
  recommendation: "[option with best risk-adjusted return]"
  residual_risks_to_accept: ["[list risks we're consciously accepting]"]
  monitoring_plan: "[how we'll track if risk materializes post-decision]"

Edge Cases & Special Situations

Startup / Early-Stage Companies

  • Simplify: Focus on top 10 risks, not comprehensive universe
  • Risk appetite is naturally higher — document it explicitly
  • Key person risk is your #1 risk — address founder dependency
  • Cash runway is THE financial risk — weekly monitoring
  • Skip quantitative methods — qualitative 5×5 matrix is sufficient

Regulated Industries (Healthcare, Financial Services, Legal)

  • Regulatory risk gets its own dedicated section with specific regulations
  • Third-party risk management program required (vendor assessments)
  • Incident reporting timelines are legally mandated — know them
  • Record retention requirements affect risk documentation
  • Consider industry-specific frameworks (NIST CSF, COBIT, Basel III)

Multi-Entity / International Operations

  • Aggregate risks at group level AND track by entity
  • FX risk, transfer pricing risk, multi-jurisdiction compliance
  • Cultural differences in risk reporting (some cultures underreport)
  • Time zone challenges for crisis response
  • Local regulatory requirements vary significantly

M&A Integration

  • Pre-deal: Due diligence risk assessment (hidden liabilities, culture clash, integration complexity)
  • Day 1: Combined risk register, harmonize controls, retain key people
  • 100-day plan: Integrate risk frameworks, consolidate insurance, unified reporting
  • Ongoing: Track integration risks separately for 12-18 months

Black Swan Events

  • By definition, you can't predict them specifically
  • Build organizational resilience: diversification, cash reserves, flexible operations
  • Test extreme scenarios even if "impossible"
  • Focus on recovery capability, not just prevention
  • Maintain crisis response muscle through regular exercises

Natural Language Commands

Use these to interact with this skill:

| Command | Action | |---------|--------| | "Assess risk for [situation]" | Full risk assessment using 5×5 matrix | | "Build risk register for [company/project]" | Create complete risk register YAML | | "Design KRIs for [area]" | Create key risk indicators with thresholds | | "Run scenario analysis for [event]" | Full scenario template with impacts | | "Create BIA for [process]" | Business impact analysis with RTO/RPO | | "Draft risk report for [audience]" | Board or management risk report | | "Evaluate control effectiveness for [risk]" | Control assessment with recommendations | | "Map risk interconnections for [risk set]" | Dependency and cascade analysis | | "Stress test [financial/operational scenario]" | Multi-severity stress test | | "Design crisis response for [event type]" | Crisis management plan with comms | | "Calculate risk-adjusted return for [decision]" | Decision framework with risk overlay | | "Audit risk culture" | Culture health assessment with recommendations |


⚡ Level Up Your Risk Management

This free skill gives you the complete ERM methodology. Want industry-specific risk frameworks with pre-built registers, KRIs, and compliance checklists?

AfrexAI Context Packs ($47 each) include tailored risk sections:

  • Healthcare — HIPAA, patient safety, clinical risk, malpractice
  • Fintech — AML/KYC, market risk, Basel III, PCI-DSS
  • Legal — Professional liability, client confidentiality, conflicts
  • Construction — Site safety, contract risk, weather, subcontractor
  • SaaS — Uptime SLAs, data security, churn risk, vendor lock-in
  • Manufacturing — Supply chain, quality, workplace safety, environmental
  • Real Estate — Market cycles, tenant risk, regulatory, environmental
  • Ecommerce — Fraud, inventory, logistics, platform dependency
  • Recruitment — Compliance, candidate experience, placement risk
  • Professional Services — Utilization, scope creep, client concentration

Browse all packs: https://afrexai-cto.github.io/context-packs/

🔗 More Free Skills by AfrexAI

  • afrexai-contract-review — Legal contract review with CLAWS risk scoring
  • afrexai-competitive-intel — 7-phase competitive intelligence system
  • afrexai-fpa-engine — Financial planning & analysis
  • afrexai-founder-os — Startup operating system
  • afrexai-customer-success — 10-phase customer success & retention

Install: clawhub install afrexai-risk-management