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/industry-ai-report

Purpose​

Generate comprehensive AI transformation reports for specific industries, including:

  • Overall AI applicability score and ranking
  • PCF category breakdown with scores
  • Top automation opportunities
  • Industry-specific constraints and recommendations
  • Optional peer industry comparison

Syntax​

/industry-ai-report <industry> [--comparison <industries>] [--format <format>] [--output <path>]

Parameters​

ParameterTypeRequiredDefaultDescription
industrystringYes-Target industry (Banking, Retail, Healthcare, etc.)
--comparisonstringNo-Comma-separated peer industries
--formatstringNomarkdownOutput format: markdown, json, csv
--outputstringNostdoutOutput file path
--detailedflagNofalseInclude PCF process group breakdown
--roiflagNofalseInclude ROI projections
--headcountintegerNo1000Assumed headcount for ROI

Examples​

Single Industry Report​

# Basic Banking report
/industry-ai-report "Banking"

# Detailed with ROI
/industry-ai-report "Banking" --detailed --roi --headcount 5000

Industry Comparison​

# Compare financial services industries
/industry-ai-report "Banking" --comparison "Insurance,Retail Banking"

# Cross-sector comparison
/industry-ai-report "Healthcare" --comparison "Banking,Retail,Technology"

Export Formats​

# Export to file
/industry-ai-report "Retail" --output retail_ai_analysis.md

# JSON for programmatic use
/industry-ai-report "Technology" --format json --output tech_data.json

Output​

Standard Report​

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
INDUSTRY AI TRANSFORMATION REPORT: Banking
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

EXECUTIVE SUMMARY
─────────────────────────────────────────────────────────────
Overall AI Applicability Score: 0.31 (Rank #3 of 20 industries)
Employment Base: 2.1 million workers (US)
Top Opportunity: Customer Service (PCF 6.0, Score: 0.42)
Primary Constraint: Regulatory compliance (Basel III, GDPR)

PCF CATEGORY ANALYSIS
─────────────────────────────────────────────────────────────
┌──────────────────────────────────────────┬───────┬────────┐
│ PCF Category                             │ Score │ Tier   │
├──────────────────────────────────────────┼───────┼────────┤
│ 6.0 Manage Customer Service              │ 0.42  │ HIGH   │
│ 9.0 Manage Financial Resources           │ 0.34  │ HIGH   │
│ 11.0 Manage Risk/Compliance              │ 0.33  │ HIGH   │
│ 8.0 Manage Information Technology        │ 0.31  │ MEDIUM │
│ 7.0 Develop/Manage Human Capital         │ 0.26  │ MEDIUM │
│ 3.0 Market and Sell Products/Services    │ 0.24  │ MEDIUM │
│ 5.0 Deliver Services                     │ 0.22  │ MEDIUM │
│ 1.0 Develop Vision and Strategy          │ 0.18  │ LOW    │
│ 2.0 Develop/Manage Products/Services     │ 0.17  │ LOW    │
│ 13.0 Develop/Manage Business Capabilities│ 0.16  │ LOW    │
│ 12.0 Manage External Relationships       │ 0.14  │ LOW    │
│ 4.0 Deliver Physical Products            │ 0.08  │ LOW    │
│ 10.0 Acquire/Manage Assets               │ 0.06  │ LOW    │
└──────────────────────────────────────────┴───────┴────────┘

TOP 5 AUTOMATION OPPORTUNITIES
─────────────────────────────────────────────────────────────
1. Customer inquiry handling (6.4)      - 92% AI completion rate
2. Compliance document processing (11.2) - 88% AI completion rate
3. Account reconciliation (9.3)         - 87% AI completion rate
4. Fraud detection triage (11.1)        - 85% AI completion rate
5. Employee onboarding (7.2)            - 84% AI completion rate

INDUSTRY-SPECIFIC CONSIDERATIONS
─────────────────────────────────────────────────────────────
Regulatory Constraints:
  • Basel III capital requirements affect automation scope
  • GDPR/CCPA require human oversight for certain decisions
  • AML/KYC processes need explainable AI

Competitive Landscape:
  • Neo-banks set high digital experience expectations
  • Traditional banks lag in AI adoption (avg 2.3 years)
  • Talent competition from FinTech sector

Technology Maturity:
  • Legacy core banking systems limit integration
  • Cloud migration prerequisite for many AI tools
  • Data quality varies significantly by institution

RECOMMENDATIONS
─────────────────────────────────────────────────────────────
Phase 1 (0-6 months): Customer Service
  Deploy AI for customer inquiry handling, FAQ, account inquiries
  Expected ROI: 200-400%

Phase 2 (6-12 months): Compliance & Risk
  Implement compliance document processing, fraud triage
  Expected ROI: 150-250%

Phase 3 (12-24 months): Operations
  Scale to account processing, reporting, employee services
  Expected ROI: 100-200%

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Generated: 2026-01-23
Source: APQC PCF v7.4, O*NET 30.1, Microsoft Research
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Comparison Output​

INDUSTRY COMPARISON: Banking vs Insurance vs Retail
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

                    BANKING   INSURANCE   RETAIL
                    ───────   ─────────   ──────
Overall Score       0.31      0.29        0.28
Industry Rank       #3        #5          #6
Top PCF             6.0       6.0         3.0
Employment (M)      2.1       2.8         15.7

PCF 3.0 (Marketing)   0.24      0.26        0.38 ★
PCF 6.0 (Customer)    0.42 ★    0.38        0.35
PCF 8.0 (IT)          0.31      0.28        0.27
PCF 9.0 (Finance)     0.34 ★    0.32        0.24
PCF 11.0 (Risk)       0.33 ★    0.34 ★      0.18

KEY DIFFERENTIATORS
Banking: Strongest in compliance/finance automation
Insurance: Claims processing is unique opportunity
Retail: Marketing personalization leads

What Happens​

  1. Validate Industry - Check industry exists in PCF taxonomy
  2. Retrieve Scores - Get PCF category scores with industry modifiers
  3. Rank Categories - Order by AI applicability
  4. Identify Opportunities - Map high-score categories to specific processes
  5. Apply Constraints - Factor in regulatory/structural limitations
  6. Generate Recommendations - Create phased transformation roadmap
  7. Format Output - Render in requested format

Success Output​

✅ COMMAND COMPLETE: /industry-ai-report

Report Summary:
- [x] Industry: Banking
- [x] Overall Score: 0.31
- [x] PCF Categories Analyzed: 13
- [x] Opportunities Identified: 5

Files Generated:
- [x] banking_ai_report.md (if --output specified)

Failure Indicators​

  • ❌ Industry not recognized
  • ❌ PCF data unavailable
  • ❌ Comparison industry invalid
  • ❌ Output file write failed

When NOT to Use​

  • Single occupation analysis (use /analyze-ai-applicability)
  • Company-specific assessment (need internal data)
  • Product evaluation (this is methodology-based)
  • Real-time market data needs

Troubleshooting​

IssueSolution
Industry not foundCheck spelling; use standard APQC names
Comparison failsVerify all comparison industries are valid
Scores seem offCheck if using industry-specific or cross-industry PCF
  • Skills: industry-ai-benchmark, process-classification-framework
  • Agents: workforce-transformation-advisor
  • Commands: /analyze-ai-applicability, /automation-roadmap

Completion Checklist​

  • Industry validated against PCF taxonomy
  • All 13 PCF categories scored
  • Industry modifiers applied
  • Top opportunities ranked
  • Constraints documented
  • Recommendations generated
  • Output formatted and delivered

Generated by: CODITECT Command Generator Source: APQC PCF v7.4 Generated: 2026-01-23