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/automation-roadmap

Purpose

Generate a phased AI automation implementation roadmap that:

  • Prioritizes by AI applicability score (highest first)
  • Sequences dependencies appropriately
  • Allocates budget across phases
  • Sets realistic milestones and KPIs
  • Identifies risks and mitigations

Syntax

/automation-roadmap <scope> <target> [--budget <amount>] [--timeline <duration>] [--headcount <number>]

Parameters

ParameterTypeRequiredDefaultDescription
scopestringYes-Analysis scope: occupation, department, industry, organization
targetstringYes-Target name
--budgetnumberNo-Total transformation budget
--timelinestringNo24 monthsOverall timeline
--headcountintegerNo100Affected headcount for ROI
--risk-tolerancestringNomoderateRisk level: conservative, moderate, aggressive
--outputstringNostdoutOutput file path

Examples

Department Roadmap

# Customer Service department transformation
/automation-roadmap department "Customer Service" --budget 500000 --headcount 50 --timeline "18 months"

# Finance department with conservative approach
/automation-roadmap department "Finance" --budget 1000000 --headcount 100 --risk-tolerance conservative

Industry Roadmap

# Banking industry transformation guide
/automation-roadmap industry "Banking" --timeline "36 months"

# Retail with budget constraint
/automation-roadmap industry "Retail" --budget 2000000

Occupation Roadmap

# Single occupation
/automation-roadmap occupation "Customer Service Representative" --headcount 200

Output

Standard Roadmap

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
AI AUTOMATION ROADMAP: Customer Service Department
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

SCOPE & CONTEXT
────────────────────────────────────────────────────────────────
Headcount: 50 FTEs
AI Applicability Score: 0.408
Total Budget: $500,000
Timeline: 18 months
Risk Tolerance: Moderate

PHASE OVERVIEW
────────────────────────────────────────────────────────────────
┌───────────────────────────────────────────────────────────────┐
│ Month 1 3 6 9 12 15 18 │
│ │ │ │ │ │ │ │ │
│ └───┴───┴───┴───┴───┴───┘ │
│ Phase 1 Phase 2 Phase 3 │
│ Quick Scale Advanced │
│ Wins Core Optimize │
│ $150K $225K $125K │
│ ROI:4x ROI:3x ROI:2x │
└───────────────────────────────────────────────────────────────┘

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PHASE 1: QUICK WINS (Months 1-6)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Budget: $150,000 (30%)
Focus: Tier 1 activities (90%+ AI completion)
Expected ROI: 4x

INITIATIVES
────────────────────────────────────────────────────────────────
1. Customer Inquiry AI (IWA 4.1.1)
• Deploy AI for FAQ and standard inquiries
• AI Completion Rate: 92%
• Expected Volume: 60% of tier-1 tickets
• Investment: $50,000
• Timeline: Month 1-3
✓ Milestone: 50% of tier-1 tickets handled by AI

2. Policy Explanation Bot (IWA 4.1.4)
• Automate policy/procedure explanations
• AI Completion Rate: 89%
• Investment: $40,000
• Timeline: Month 2-4
✓ Milestone: 80% policy queries automated

3. Information Retrieval Assistant (IWA 1.1.1)
• AI-powered knowledge base search
• AI Completion Rate: 90%
• Investment: $30,000
• Timeline: Month 3-5
✓ Milestone: Agent lookup time reduced 60%

4. Change Management & Training
• Agent training on AI collaboration
• Investment: $30,000
• Timeline: Month 1-6
✓ Milestone: 100% team certified

PHASE 1 KPIs
────────────────────────────────────────────────────────────────
• Tickets handled by AI: Target 40%
• CSAT maintained: >4.2/5
• Agent productivity: +30%
• Cost savings: $180,000 (ROI: 1.2x by Month 6)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PHASE 2: SCALE CORE (Months 7-12)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Budget: $225,000 (45%)
Focus: Tier 2 activities (75-90% AI completion)
Expected ROI: 3x (cumulative)

INITIATIVES
────────────────────────────────────────────────────────────────
5. Complaint Triage System (IWA 2.4.1)
• AI categorization and routing
• AI Completion Rate: 78%
• Investment: $75,000
• Timeline: Month 7-9
✓ Milestone: 70% complaints auto-triaged

6. Proactive Outreach AI (IWA 4.2.1)
• Automated customer communications
• AI Completion Rate: 87%
• Investment: $50,000
• Timeline: Month 8-10
✓ Milestone: 10K proactive messages/month

7. Quality Assurance Automation
• AI call/chat analysis
• Investment: $50,000
• Timeline: Month 9-11
✓ Milestone: 100% interactions scored

8. Advanced Training & Process Redesign
• Redefine roles for AI collaboration
• Investment: $50,000
• Timeline: Month 7-12
✓ Milestone: New job descriptions deployed

PHASE 2 KPIs
────────────────────────────────────────────────────────────────
• Total AI handling: Target 55%
• First-contact resolution: +25%
• Agent time on complex issues: +40%
• Cumulative savings: $480,000

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PHASE 3: ADVANCED OPTIMIZATION (Months 13-18)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Budget: $125,000 (25%)
Focus: Tier 3 activities + continuous improvement
Expected ROI: 2x (phase) / 4x (cumulative)

INITIATIVES
────────────────────────────────────────────────────────────────
9. Relationship Intelligence (IWA 5.2.1)
• AI customer relationship insights
• AI Completion Rate: 65%
• Investment: $40,000
• Timeline: Month 13-15
✓ Milestone: Churn prediction 80% accurate

10. Advanced Analytics Dashboard
• Real-time AI performance monitoring
• Investment: $35,000
• Timeline: Month 14-16
✓ Milestone: Executive dashboard live

11. Continuous Learning System
• AI model improvement pipeline
• Investment: $30,000
• Timeline: Month 15-17
✓ Milestone: Monthly model updates

12. Optimization & Scaling
• Fine-tuning and horizontal scaling
• Investment: $20,000
• Timeline: Month 16-18
✓ Milestone: 3x capacity achieved

PHASE 3 KPIs
────────────────────────────────────────────────────────────────
• Total AI handling: Target 65%
• Customer effort score: -30%
• Team capacity: 2.5x original
• Total 18-month savings: $950,000

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
RISK MANAGEMENT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

┌─────────────────────────────┬───────────┬─────────────────────┐
│ Risk │ Likelihood│ Mitigation │
├─────────────────────────────┼───────────┼─────────────────────┤
│ AI accuracy below target │ Medium │ Pilot before scale │
│ Agent resistance │ Medium │ Early involvement │
│ Integration challenges │ High │ IT alignment early │
│ CSAT degradation │ Low │ Human escalation │
│ Budget overrun │ Medium │ Phase gates │
└─────────────────────────────┴───────────┴─────────────────────┘

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SUMMARY
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Total Investment: $500,000
18-Month Savings: $950,000
Net Benefit: $450,000
ROI: 1.9x (Year 1), 4x+ (Year 2+)
Payback Period: 9.5 months
Capacity Multiplier: 2.5x

NEXT STEPS
────────────────────────────────────────────────────────────────
1. Approve Phase 1 budget ($150K)
2. Select AI platform vendor
3. Identify Phase 1 pilot team (10 agents)
4. Schedule kickoff (Week 1)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Generated: 2026-01-23 | Source: O*NET 30.1, Microsoft Research
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

What Happens

  1. Analyze Scope - Get AI applicability for target
  2. Identify Activities - Map to IWAs or PCF categories
  3. Tier Activities - Categorize by AI completion rate
  4. Sequence Phases - Order by quickest wins first
  5. Allocate Budget - Distribute across phases
  6. Set Milestones - Define measurable checkpoints
  7. Assess Risks - Identify and plan mitigations
  8. Generate Roadmap - Format comprehensive output

Success Output

✅ COMMAND COMPLETE: /automation-roadmap

Roadmap Summary:
- [x] Scope: Customer Service Department
- [x] Phases: 3
- [x] Timeline: 18 months
- [x] Total Budget: $500,000
- [x] Projected ROI: 1.9x (Year 1)

Key Milestones:
- [x] Phase 1: 40% AI ticket handling (Month 6)
- [x] Phase 2: 55% AI handling (Month 12)
- [x] Phase 3: 65% AI handling (Month 18)

Failure Indicators

  • ❌ AI score too low for meaningful automation
  • ❌ Budget insufficient for Phase 1
  • ❌ Timeline unrealistic for scope
  • ❌ Target not found in taxonomy
  • Skills: ai-occupation-applicability, ai-roi-calculator
  • Agents: workforce-transformation-advisor
  • Commands: /analyze-ai-applicability, /industry-ai-report

Generated by: CODITECT Command Generator Generated: 2026-01-23