RLM Implementation Roadmap

Project Plan & Timeline
Version: 1.0
Date: January 13, 2026
Duration: 16 weeks to production scale

Project Overview
Phase 1: Foundation
Phase 2: Specialists
Phase 3: Optimization
Phase 4: Scale
Resource Requirements
Risk Management
Success Metrics

Project Overview

Vision

Transform CODITECT from "eliminating 60-90% of repetitive work" to "eliminating 60-90% of repetitive work with unlimited context intelligence"—becoming the only platform that handles 10M+ token tasks.

Objectives

Technical: Deploy production-ready RLM infrastructure by Week 4
Product: Launch 3 specialist agents (document, code, workflow) by Week 8
Commercial: Achieve $500K ARR from RLM features by Week 16
Market: Establish competitive moat through 6-month technical lead

Success Criteria

Metric	Target	Measurement
Technical Performance	>90% accuracy on 1M+ token tasks	Benchmark testing
Cost Efficiency	<$1.00 per complex task (median)	Production monitoring
Customer Adoption	50+ Enterprise customers using RLM	Usage analytics
Revenue Impact	$500K ARR from RLM features	Financial reporting
Customer Satisfaction	NPS >80 for RLM users	Quarterly surveys

Phase 1: Foundation (Weeks 1-4)

Goal

Deploy core RLM infrastructure and validate with 20 customer documents.

Milestones

Week 1: Architecture & Setup

Deliverables:

Architecture Review (Day 1-2)
- Review MIT paper implementation details
- Design CODITECT-specific architecture
- Identify integration points with existing skills
- Document security requirements
Environment Setup (Day 3-5)
- Provision sandboxed Python REPL environment
- Deploy Redis for checkpoint storage
- Configure monitoring and logging infrastructure
- Set up development and staging environments

Team: 2 Senior Engineers, 1 DevOps Engineer, 1 Product Manager
Budget: $15,000

Week 2: Core Implementation

Deliverables:

REPL Environment (Day 1-3)
- Implement SecureREPL class with security validation
- Add AST parsing for code safety checks
- Configure memory limits and timeouts
- Test with malicious code samples
LLM Integration (Day 4-5)
- Implement RecursiveLLMCaller with Claude Sonnet 4
- Add token tracking and budget enforcement
- Implement circuit breaker pattern
- Test recursive depth limits

Team: 2 Senior Engineers, 1 QA Engineer
Budget: $12,000

Week 3: Orchestration & Testing

Deliverables:

RLM Orchestrator (Day 1-3)
- Implement main orchestration loop
- Add checkpoint/recovery mechanism
- Integrate with existing CODITECT authentication
- Build quality gate evaluation
Integration Testing (Day 4-5)
- Test with MIT paper benchmark tasks (S-NIAH, OOLONG)
- Validate token budgets and cost calculations
- Test error recovery and circuit breakers
- Performance testing (10M+ tokens)

Team: 2 Senior Engineers, 2 QA Engineers
Budget: $13,000

Week 4: Validation & Documentation

Deliverables:

Customer Document Testing (Day 1-2)
- Test with 20 real customer documents (contracts, codebases)
- Measure accuracy against manual review
- Calculate actual costs vs projections
- Document failure patterns
Documentation (Day 3-4)
- API documentation for developers
- Operations runbook
- Security and compliance documentation
- Customer-facing feature documentation
Phase 1 Review (Day 5)
- Demonstrate to stakeholders
- Present metrics and learnings
- Get approval for Phase 2

Team: 2 Senior Engineers, 1 Technical Writer, Product Manager
Budget: $10,000

Phase 1 Deliverables Summary

✅ Production-ready RLM infrastructure
✅ Validated on 20 customer documents
✅ Security audit passed
✅ Documentation complete
✅ Metrics dashboard deployed

Total Phase 1 Budget: $50,000
Total Phase 1 Duration: 4 weeks

Phase 2: Specialists (Weeks 5-8)

Goal

Build and deploy 3 specialist agents optimized for key use cases.

Milestones

Week 5: Document Processor Specialist

Deliverables:

Contract Analysis Agent (Day 1-3)
- Implement CODITECTDocumentProcessor class
- Integrate with CODITECT pdf skill for text extraction
- Add batch processing capabilities
- Create analysis report templates (docx integration)
Prompt Engineering (Day 4-5)
- Optimize system prompts for legal analysis
- Test on 50 contracts (various industries)
- Measure accuracy vs attorney review
- Iterate based on results

Team: 2 Senior Engineers, 1 Domain Expert (Legal), 1 QA Engineer
Budget: $18,000

Week 6: Code Analyzer Specialist

Deliverables:

Multi-Repository Analyzer (Day 1-3)
- Implement CODITECTCodebaseAnalyzer class
- Add repository loading and indexing
- Integrate with AST parsing libraries
- Support for 10+ programming languages
Migration Planning (Day 4-5)
- Build migration plan generation
- Test on 10 real codebases (various architectures)
- Validate against manual architect review
- Create visualization tools for results

Team: 2 Senior Engineers, 1 Domain Expert (Software Architecture), 1 QA Engineer
Budget: $18,000

Week 7: Workflow Executor Specialist

Deliverables:

Long-Horizon Orchestrator (Day 1-3)
- Implement OnboardingWorkflowExecutor class
- Add state management for 200+ step workflows
- Integrate with CODITECT's existing workflow engine
- Build error handling and recovery
Testing & Optimization (Day 4-5)
- Test with 5 customer onboarding workflows
- Measure completion rate and error rate
- Optimize for cost and speed
- Document best practices

Team: 2 Senior Engineers, 1 Product Manager, 1 QA Engineer
Budget: $18,000

Week 8: Customer Pilot Launch

Deliverables:

Pilot Program Setup (Day 1-2)
- Select 3 pilot customers (legal, tech, ops)
- Configure dedicated environments
- Train customer teams (2 hours each)
- Set up success metrics tracking
Launch & Support (Day 3-5)
- Deploy to pilot customers
- Daily check-ins for first week
- Monitor usage and collect feedback
- Rapid iteration on issues
Phase 2 Review (Day 5)
- Present pilot results
- Share customer feedback
- Calculate actual vs projected ROI
- Get approval for Phase 3

Team: 2 Customer Success Managers, 2 Engineers (on-call), Product Manager
Budget: $21,000

Phase 2 Deliverables Summary

✅ 3 production-ready specialist agents
✅ 3 pilot customers actively using RLM
✅ Documented best practices per use case
✅ Initial customer success stories
✅ Validated product-market fit

Total Phase 2 Budget: $75,000
Total Phase 2 Duration: 4 weeks

Phase 3: Optimization (Weeks 9-12)

Goal

Optimize performance, cost, and quality for production scale.

Milestones

Week 9: Performance Optimization

Deliverables:

Async Sub-Call Implementation (Day 1-3)
- Refactor for parallel sub-LLM calls
- Implement connection pooling
- Add request batching
- Target: 3x speedup vs sequential
Intelligent Chunking (Day 4-5)
- Implement semantic chunking (vs uniform)
- Add document structure detection
- Optimize chunk sizes per use case
- Measure impact on accuracy and cost

Team: 2 Senior Engineers, 1 DevOps Engineer
Budget: $20,000

Week 10: Cost Optimization

Deliverables:

Model Routing (Day 1-2)
- Implement intelligent model selection
- Route by task complexity:
  - Simple → Claude Haiku (cost-efficient)
  - Complex → Claude Sonnet (high-quality)
  - Code → Qwen3-Coder (specialized)
- Measure cost savings vs uniform approach
Token Budget Enforcement (Day 3-5)
- Add per-customer token budgets
- Implement usage alerts (95th percentile)
- Build cost prediction models
- Create customer-facing usage dashboard

Team: 2 Senior Engineers, 1 Data Analyst
Budget: $18,000

Week 11: Quality Monitoring

Deliverables:

Quality Gates Dashboard (Day 1-3)
- Build real-time quality monitoring
- Track:
  - Token efficiency (tokens/call)
  - Error rates
  - Success rates
  - Customer satisfaction (inline feedback)
- Set up automated alerts
Trajectory Analysis (Day 4-5)
- Analyze RLM execution patterns
- Identify inefficient behaviors (excessive sub-calls)
- Build recommendations engine
- Document anti-patterns (Qwen3-style)

Team: 1 Senior Engineer, 1 Data Analyst, 1 ML Engineer
Budget: $22,000

Week 12: Documentation & Training

Deliverables:

Customer Documentation (Day 1-2)
- Write user guides per specialist
- Create video tutorials (3-5 min each)
- Build interactive demos
- Publish FAQ and troubleshooting
Sales Enablement (Day 3-4)
- Train sales team on RLM features
- Create demo scripts and talk tracks
- Build ROI calculator for prospects
- Develop case study templates
Phase 3 Review (Day 5)
- Present optimization results
- Share pilot customer metrics (now 4-6 weeks in)
- Get approval for Phase 4 (scale)

Team: 1 Technical Writer, 2 Sales Engineers, 1 Product Marketing Manager
Budget: $20,000

Phase 3 Deliverables Summary

✅ 3x faster execution (async sub-calls)
✅ 40% cost reduction (model routing)
✅ Real-time quality monitoring
✅ Complete customer documentation
✅ Sales team trained and enabled

Total Phase 3 Budget: $80,000
Total Phase 3 Duration: 4 weeks

Phase 4: Scale (Weeks 13-16)

Goal

Scale to 50+ Enterprise customers and $500K ARR.

Milestones

Week 13: Public Launch Preparation

Deliverables:

Launch Assets (Day 1-3)
- Website landing page with RLM messaging
- Product Hunt submission materials
- Press release and media kit
- Customer testimonial videos
Marketing Campaign (Day 4-5)
- LinkedIn ad campaigns (target: legal, tech, ops)
- Google Ads (keywords: "contract analysis AI")
- Email campaigns to existing customers
- Industry publication outreach

Team: 1 Product Marketing Manager, 1 Demand Generation Manager, 1 Designer
Budget: $30,000 (includes ad spend)

Week 14: Public Launch

Deliverables:

Launch Events (Day 1)
- Product Hunt launch
- LinkedIn announcement
- Email blast to 10K prospects
- Webinar: "Unlimited Context AI" (100 attendees target)
Sales Blitz (Day 2-5)
- 10 Enterprise AEs conducting demos
- Target: 50 qualified leads
- Goal: 10 closed deals in week 1

Team: 10 Account Executives, 2 Sales Engineers, 1 Product Manager
Budget: $40,000 (includes sales incentives)

Week 15: Rapid Onboarding

Deliverables:

Onboarding Sprint (Day 1-5)
- Onboard 20-30 new Enterprise customers
- Conduct training sessions (2 hours each)
- Set up dedicated environments
- Assign customer success managers
Support Scaling (Day 1-5)
- Expand support team (hire 3 CSMs)
- Build self-service knowledge base
- Set up 24/7 on-call rotation
- Implement chatbot for tier-1 support

Team: 5 Customer Success Managers, 2 Engineers (on-call), 1 Support Lead
Budget: $35,000

Week 16: Results & Planning

Deliverables:

Metrics Collection (Day 1-2)
- Total Enterprise customers using RLM
- ARR from RLM features
- Customer success stories documented
- NPS surveys collected
Case Study Production (Day 3-4)
- Publish 5+ customer case studies
- Create video testimonials
- Document quantified results
- Submit for industry awards
Phase 4 Review & Future Planning (Day 5)
- Present results to leadership
- Calculate actual vs projected outcomes
- Plan Phase 5: International expansion
- Celebrate team success 🎉

Team: Product Manager, Marketing Manager, All Engineering & CS Leads
Budget: $15,000

Phase 4 Deliverables Summary

✅ 50+ Enterprise customers using RLM
✅ $500K ARR from RLM features
✅ 10+ published case studies
✅ Industry recognition (awards, press)
✅ Foundation for continued growth

Total Phase 4 Budget: $120,000
Total Phase 4 Duration: 4 weeks

Resource Requirements

Team Structure

Core Engineering Team (Weeks 1-12)

Role	FTE	Weeks	Cost
Senior Engineer	2.0	12	$144,000
QA Engineer	1.0	8	$48,000
DevOps Engineer	0.5	12	$36,000
ML Engineer	0.5	4	$12,000
Data Analyst	0.5	8	$20,000
Total	4.5 FTE	-	$260,000

Customer-Facing Team (Weeks 5-16)

Role	FTE	Weeks	Cost
Product Manager	1.0	16	$80,000
Customer Success Manager	2.0	12	$72,000
Sales Engineer	2.0	8	$64,000
Account Executive	10.0	4	$200,000 (incl. commissions)
Total	15.0 FTE	-	$416,000

Support Functions (Weeks 9-16)

Role	FTE	Weeks	Cost
Technical Writer	0.5	8	$20,000
Product Marketing	1.0	8	$40,000
Designer	0.5	4	$10,000
Domain Experts	0.25	8	$10,000
Total	2.25 FTE	-	$80,000

Budget Summary

Phase	Duration	Team Cost	Infrastructure	Marketing	Total
Phase 1	4 weeks	$40,000	$10,000	$0	$50,000
Phase 2	4 weeks	$60,000	$10,000	$5,000	$75,000
Phase 3	4 weeks	$65,000	$10,000	$5,000	$80,000
Phase 4	4 weeks	$70,000	$15,000	$35,000	$120,000
Total	16 weeks	$235,000	$45,000	$45,000	$325,000

Infrastructure Costs

development_environment:
  compute: $2,000/month (AWS EC2 GPU instances)
  storage: $500/month (Redis, S3)
  monitoring: $500/month (Datadog, Sentry)
  total: $3,000/month

staging_environment:
  compute: $1,500/month
  storage: $300/month
  monitoring: $200/month
  total: $2,000/month

production_environment:
  compute: $5,000/month (auto-scaling)
  storage: $1,000/month
  monitoring: $500/month
  cdn: $500/month
  total: $7,000/month

anthropic_api:
  estimated_usage: $3,000/month (Phase 1-2)
  estimated_usage: $10,000/month (Phase 3-4)

Risk Management

Technical Risks

Risk	Probability	Impact	Mitigation	Owner
Performance bottleneck	Medium	High	Load testing, profiling, optimization sprint	Engineering Lead
Security vulnerability	Low	Critical	Security audit, penetration testing, bug bounty	Security Eng
Cost overrun (API usage)	Medium	Medium	Token budgets, monitoring alerts, circuit breakers	Engineering Lead
Integration issues	Low	Medium	Early integration testing, modular design	Tech Lead
Quality degradation	Medium	High	Quality gates, trajectory analysis, A/B testing	QA Lead

Business Risks

Risk	Probability	Impact	Mitigation	Owner
Low customer adoption	Low	High	Pilot validation, aggressive demos, ROI proof	Product Manager
Competitor response	High	Medium	Fast execution, patent filing, customer lock-in	CEO/CTO
Pricing resistance	Medium	Medium	ROI calculator, flexible packaging, trials	Sales Lead
Implementation delays	Medium	High	Agile sprints, daily standups, risk reviews	Program Manager
Churn from failures	Low	High	Pilot testing, gradual rollout, support scaling	CS Lead

Contingency Plans

If Phase 1 validation fails (<80% accuracy):

Root cause analysis (2 days)
Prompt engineering iteration (1 week)
Architecture adjustments if needed (2 weeks)
Re-test with broader benchmark (3 days)

Timeline Impact: +3 weeks
Budget Impact: +$30K

If customer adoption is slow (<20 customers by Week 16):

Increase trial length (7 days → 30 days)
Offer implementation services (free for first 20 customers)
Expand sales team incentives (2x commission for RLM deals)
Accelerate case study production (pay for customer testimonials)

Timeline Impact: Extend Phase 4 by 4 weeks
Budget Impact: +$50K

If costs exceed projections (>$1.50/task):

Aggressive model routing (more Haiku, less Sonnet)
Implement caching (repeated queries)
Negotiate volume discounts with Anthropic
Reduce max recursion depth (3 → 2)

Performance Impact: -10% accuracy acceptable if cost controlled
Budget Impact: Neutral

Success Metrics

Technical Metrics (Tracked Weekly)

technical_kpis = {
    'accuracy': {
        'target': 0.90,
        'measurement': 'Benchmark testing on long-context tasks',
        'critical_threshold': 0.80
    },
    'cost_per_task': {
        'target': 1.00,  # USD
        'measurement': 'Median cost across all RLM tasks',
        'critical_threshold': 2.00
    },
    'response_time_p95': {
        'target': 30,  # seconds
        'measurement': '95th percentile response time',
        'critical_threshold': 60
    },
    'error_rate': {
        'target': 0.05,
        'measurement': 'Failed tasks / total tasks',
        'critical_threshold': 0.10
    },
    'token_efficiency': {
        'target': 800,  # tokens per tool call
        'measurement': 'Average tokens per REPL execution',
        'critical_threshold': 1200
    }
}

Business Metrics (Tracked Weekly)

business_kpis = {
    'enterprise_customers_using_rlm': {
        'week_4': 0,
        'week_8': 3,
        'week_12': 10,
        'week_16': 50,
        'target': 50
    },
    'rlm_arr': {
        'week_4': 0,
        'week_8': 36_000,  # 3 customers × $999/mo × 12
        'week_12': 120_000,
        'week_16': 500_000,
        'target': 500_000
    },
    'customer_satisfaction_nps': {
        'target': 80,
        'measurement': 'Quarterly NPS survey',
        'critical_threshold': 60
    },
    'time_to_value_days': {
        'target': 20,
        'measurement': 'Days from signup to first ROI',
        'critical_threshold': 45
    },
    'churn_rate': {
        'target': 0.05,  # 5% monthly
        'measurement': 'Customers churning due to RLM issues',
        'critical_threshold': 0.10
    }
}

Customer Success Metrics (Tracked Monthly)

customer_metrics = {
    'avg_time_saved_per_task_hours': {
        'target': 3.5,
        'measurement': 'Customer self-reported + benchmark',
        'critical_threshold': 2.0
    },
    'avg_roi': {
        'target': 300,  # 300x ROI
        'measurement': 'Customer cost savings / CODITECT cost',
        'critical_threshold': 50
    },
    'usage_frequency': {
        'target': 20,  # tasks per customer per month
        'measurement': 'Active usage tracking',
        'critical_threshold': 5
    },
    'feature_adoption': {
        'target': 0.50,  # 50% of Enterprise customers
        'measurement': 'Customers using RLM / total Enterprise',
        'critical_threshold': 0.20
    }
}

Reporting Cadence

Audience	Frequency	Format	Owner
Engineering Team	Daily	Slack standup	Tech Lead
Leadership	Weekly	Dashboard + narrative	Program Manager
Board	Monthly	Executive summary + metrics	CEO/CTO
Customers	Quarterly	Success review	Customer Success

Communication Plan

Internal Communications

daily_standup:
  time: 9:00 AM
  duration: 15 minutes
  attendees: Engineering team
  format: Async in Slack + sync if needed
  agenda:
    - Yesterday's progress
    - Today's plan
    - Blockers

weekly_sync:
  time: Fridays 2:00 PM
  duration: 60 minutes
  attendees: Full project team
  format: Video call
  agenda:
    - Week recap (metrics)
    - Next week priorities
    - Risks and mitigations
    - Celebrations

monthly_review:
  time: Last Friday of month
  duration: 90 minutes
  attendees: Leadership + project team
  format: In-person presentation
  agenda:
    - Metrics review
    - Customer stories
    - Learnings and adjustments
    - Budget and timeline status

External Communications

customer_updates:
  audience: Pilot customers
  frequency: Weekly
  channel: Email
  content: Progress updates, new features, success stories

sales_enablement:
  audience: Sales team
  frequency: Bi-weekly
  channel: Sales all-hands
  content: Demo updates, talk tracks, objection handling

marketing_launches:
  audience: Prospects
  frequency: Monthly
  channel: Blog, email, social
  content: Case studies, webinars, thought leadership

Approval & Sign-Off

Budget Approval

Phase	Amount	Approver	Status
Phase 1	$50,000	CTO	⬜ Pending
Phase 2	$75,000	CEO	⬜ Pending
Phase 3	$80,000	CFO	⬜ Pending
Phase 4	$120,000	Board	⬜ Pending
Total	$325,000	-	-

Go/No-Go Decision Points

Milestone	Criteria	Decision Maker
End of Week 4	>80% accuracy on validation set	CTO
End of Week 8	3 pilot customers with >80 NPS	CEO
End of Week 12	Cost <$1.50/task, quality gates passing	CFO
End of Week 16	>40 customers, >$400K ARR	Board

Next Steps

Immediate Actions (This Week)

Exec team reviews roadmap (Scheduled: [Date])
Budget approval meeting (Scheduled: [Date])
Assign project manager (Due: [Date])
Engineering kickoff (Scheduled: [Date])
Select pilot customers (Due: [Date])

Pre-Work Before Phase 1

Provision AWS infrastructure
Set up project management tools (Jira, Confluence)
Create project Slack channel
Order hardware if needed
Schedule external security audit

Appendix

A. Detailed Gantt Chart

[See separate file: RLM_Gantt_Chart.xlsx]

B. Budget Breakdown

[See separate file: RLM_Budget_Detail.xlsx]

C. Risk Register

[See separate file: RLM_Risk_Register.xlsx]

D. Customer Pilot Plan

[See separate file: RLM_Pilot_Plan.md]

E. Quality Assurance Plan

[See separate file: RLM_QA_Plan.md]

Document Version: 1.0
Last Updated: January 13, 2026
Owner: Program Manager
Approvers: CTO, CEO, CFO

This roadmap is a living document and will be updated weekly based on progress and learnings.

Table of Contents​

Project Overview​

Vision​

Objectives​

Success Criteria​

Phase 1: Foundation (Weeks 1-4)​

Goal​

Milestones​

Week 1: Architecture & Setup​

Week 2: Core Implementation​

Week 3: Orchestration & Testing​

Week 4: Validation & Documentation​

Phase 1 Deliverables Summary​

Phase 2: Specialists (Weeks 5-8)​

Goal​

Milestones​

Week 5: Document Processor Specialist​

Week 6: Code Analyzer Specialist​

Week 7: Workflow Executor Specialist​

Week 8: Customer Pilot Launch​

Phase 2 Deliverables Summary​

Phase 3: Optimization (Weeks 9-12)​

Goal​

Milestones​

Week 9: Performance Optimization​

Week 10: Cost Optimization​

Week 11: Quality Monitoring​

Week 12: Documentation & Training​

Phase 3 Deliverables Summary​

Phase 4: Scale (Weeks 13-16)​

Goal​

Milestones​

Week 13: Public Launch Preparation​

Week 14: Public Launch​

Week 15: Rapid Onboarding​

Week 16: Results & Planning​

Phase 4 Deliverables Summary​

Resource Requirements​

Team Structure​

Core Engineering Team (Weeks 1-12)​

Customer-Facing Team (Weeks 5-16)​

Support Functions (Weeks 9-16)​

Budget Summary​

Infrastructure Costs​

Risk Management​

Technical Risks​

Business Risks​

Contingency Plans​

If Phase 1 validation fails (<80% accuracy):​

If customer adoption is slow (<20 customers by Week 16):​

If costs exceed projections (>$1.50/task):​

Success Metrics​

Technical Metrics (Tracked Weekly)​

Business Metrics (Tracked Weekly)​

Customer Success Metrics (Tracked Monthly)​

Reporting Cadence​

Communication Plan​

Internal Communications​

External Communications​

Approval & Sign-Off​

Budget Approval​

Go/No-Go Decision Points​

Next Steps​

Immediate Actions (This Week)​

Pre-Work Before Phase 1​

Appendix​

A. Detailed Gantt Chart​

B. Budget Breakdown​

C. Risk Register​

D. Customer Pilot Plan​

E. Quality Assurance Plan​

Table of Contents

Project Overview

Vision

Objectives

Success Criteria

Phase 1: Foundation (Weeks 1-4)

Goal

Milestones

Week 1: Architecture & Setup

Week 2: Core Implementation

Week 3: Orchestration & Testing

Week 4: Validation & Documentation

Phase 1 Deliverables Summary

Phase 2: Specialists (Weeks 5-8)

Goal

Milestones

Week 5: Document Processor Specialist

Week 6: Code Analyzer Specialist

Week 7: Workflow Executor Specialist

Week 8: Customer Pilot Launch

Phase 2 Deliverables Summary

Phase 3: Optimization (Weeks 9-12)

Goal

Milestones

Week 9: Performance Optimization

Week 10: Cost Optimization

Week 11: Quality Monitoring

Week 12: Documentation & Training

Phase 3 Deliverables Summary

Phase 4: Scale (Weeks 13-16)

Goal

Milestones

Week 13: Public Launch Preparation

Week 14: Public Launch

Week 15: Rapid Onboarding

Week 16: Results & Planning

Phase 4 Deliverables Summary

Resource Requirements

Team Structure

Core Engineering Team (Weeks 1-12)

Customer-Facing Team (Weeks 5-16)

Support Functions (Weeks 9-16)

Budget Summary

Infrastructure Costs

Risk Management

Technical Risks

Business Risks

Contingency Plans

If Phase 1 validation fails (<80% accuracy):

If customer adoption is slow (<20 customers by Week 16):

If costs exceed projections (>$1.50/task):

Success Metrics

Technical Metrics (Tracked Weekly)

Business Metrics (Tracked Weekly)

Customer Success Metrics (Tracked Monthly)

Reporting Cadence

Communication Plan

Internal Communications

External Communications

Approval & Sign-Off

Budget Approval

Go/No-Go Decision Points

Next Steps

Immediate Actions (This Week)

Pre-Work Before Phase 1

Appendix

A. Detailed Gantt Chart

B. Budget Breakdown

C. Risk Register

D. Customer Pilot Plan

E. Quality Assurance Plan