CODITECT Composable Product Suite - Orchestration Plan

Initiative: Transform CODITECT into a Modular, Composable Product Suite Status: Phase 1 - Research (In Progress) Created: 2025-11-26 Owner: Hal Casteel, Founder/CEO/CTO Duration: 8+ weeks (7 phases)

Vision Statement

Transform coditect-rollout-master from a monolithic 46-submodule repository into a composable product suite where:

Each submodule = distinct product/feature component
Components work standalone OR as integrated suite
Modular, Lego-like architecture (customers pick and choose)
Parallel development across independent teams
Unified data model and MEMORY-CONTEXT linking all components
Combined memory across entire suite
Clear, understandable boundaries with well-defined interfaces
Customer choice - select components à la carte or full suite

Architecture Principles

Composability - Components snap together like Legos
Independence - Each component can run standalone
Interoperability - Shared data model enables seamless integration
Unified Memory - MEMORY-CONTEXT links all components with combined memory
Customer Choice - Select components à la carte or full suite
Parallel Development - Teams work independently on components
Clear Boundaries - Well-defined interfaces and responsibilities

Current State Analysis

Repository Structure (As-Is)

46 Submodules across 8 Categories:

coditect-rollout-master/
├── submodules/
│   ├── core/       # 3 repos  - Core CODITECT framework
│   ├── cloud/      # 4 repos  - Cloud platform (SaaS)
│   ├── dev/        # 10 repos - Developer tools and CLI
│   ├── market/     # 2 repos  - Agent marketplace
│   ├── docs/       # 5 repos  - Documentation sites
│   ├── ops/        # 5 repos  - Operations and distribution
│   ├── gtm/        # 7 repos  - Go-to-market materials
│   └── labs/       # 10 repos - Research and next-generation

Problems with Current Structure

Unclear component boundaries - Is dev/ a product or infrastructure?
No unified data model - Each submodule manages its own data independently
No MEMORY-CONTEXT integration - Session memory doesn't cross components
Mixed customer visibility - Internal tools mixed with customer products
Difficult to understand - 8 categories don't map to customer value
No composition strategy - Can't easily combine components
Monolithic deployment - All-or-nothing approach

Opportunities

Transform into product suite - Adobe Creative Cloud, Microsoft 365 model
Enable customer choice - Pick components that fit their needs
Unified memory across all components - Seamless cross-component workflows
Parallel team development - Independent work with clear interfaces
Clear value proposition - Products vs infrastructure vs research
Marketplace opportunities - Component marketplace like WordPress/Shopify

7-Phase Execution Plan

Phase 1: Research Composable Architectures ⚡ IN PROGRESS

Duration: 1 week Owner: Web Search Researcher Agent Status: Active

Objectives:

Research successful product suite architectures (Adobe, Microsoft, Atlassian)
Understand microservices composition patterns
Study micro-frontends architecture
Analyze plugin/extension architectures
Investigate unified data layer patterns (event sourcing, shared state)
Review component marketplace models (WordPress, Shopify)

Key Research Questions:

How do successful product suites maintain independence while enabling integration?
How is unified memory/state managed across independent components?
What are best practices for component boundaries?
How do customers discover and select components?
What pricing models work for modular product suites?
How are dependencies managed between components?

Deliverables:

Research findings document (30-50 pages)
Best practices catalog
Architecture pattern library
Case studies from successful product suites
Recommendations for CODITECT architecture

Agent Coordination:

Task(
    subagent_type="web-search-researcher",
    description="Research composable product suite architectures",
    prompt="Research successful product suite architectures and patterns..."
)

Phase 2: Design Unified Data Model 📋 PENDING

Duration: 1-2 weeks Owners: Senior Architect Agent, FoundationDB Expert Agent Dependencies: Phase 1 complete

Objectives:

Design unified data model covering all components
Create MEMORY-CONTEXT integration specification
Define event bus for component communication
Establish shared configuration schema
Design cross-component analytics model
Define data consistency guarantees

Key Design Areas:

Identity & Authentication:

User identity across all components
Cross-component SSO (Single Sign-On)
Permission inheritance
Session management

Project/Workspace Context:

Shared project metadata
Workspace associations
Cross-component project linking
Folder/organization hierarchy

MEMORY-CONTEXT Schema:

Unified session format
Checkpoint synchronization
Export/import standards
Cross-component memory linking
Combined memory queries

Event Bus:

Component communication protocol
Event schemas and versioning
Pub/sub patterns
Event replay capabilities

Shared Configuration:

Component discovery
Feature flags
Preferences and settings
Integration configurations

Cross-Component Analytics:

Usage tracking across components
User journey mapping
Performance metrics
Error aggregation

Deliverables:

Unified data model specification (50-75 pages)
MEMORY-CONTEXT integration guide
Event bus architecture document
Database schema definitions (FoundationDB)
API contracts for data access
Data migration strategy

Phase 3: Define Product-Based Component Categories 📋 PENDING

Duration: 1 week Owner: Software Design Architect Agent Dependencies: Phases 1-2 complete

Objectives:

Analyze current 8 categories and redefine based on product suite model
Map categories to customer value propositions
Define component types (platform, product, service, extension, infrastructure, research)
Establish category naming conventions
Create category documentation structure

Current Categories Analysis:

Existing 8 Categories:

core/ - Framework and shared intelligence (3 repos)
cloud/ - Deployment and infrastructure (4 repos)
dev/ - Development tools (10 repos)
labs/ - Experimental research (10 repos)
market/ - Business intelligence (2 repos)
operations/ - Operational tooling (5 repos)
docs/ - Documentation (5 repos)
gtm/ - Go-to-market (7 repos)

Problems:

Inconsistent naming (ops vs operations)
Mixed concerns (dev has both tools and utilities)
Unclear customer visibility (which are products?)
No clear dependency hierarchy

New Category Structure (Proposed):

Option A: Product-Centric

submodules/
├── platform/       # Core platform components (required)
├── products/       # Customer-facing applications (à la carte)
├── services/       # Backend services (compose into products)
├── extensions/     # Optional add-ons and integrations
├── infrastructure/ # Deployment and ops (hidden from customers)
└── research/       # Experimental and POC work (internal)

Option B: Vertical Slicing

submodules/
├── core-platform/      # Essential foundation (required)
├── developer-tools/    # IDE, CLI, automation (product)
├── collaboration/      # Multi-user, marketplace (product)
├── analytics/          # Insights, reporting (product)
├── enterprise/         # SSO, compliance, governance (product)
├── integrations/       # Third-party extensions (extensions)
├── infrastructure/     # Deployment, monitoring (hidden)
└── labs/              # Research and experiments (internal)

Option C: Hybrid (Recommended)

submodules/
├── platform/           # Required foundation
│   ├── coditect-core
│   ├── coditect-data-layer
│   └── coditect-memory-context
│
├── products/           # Customer-facing applications
│   ├── developer-suite/
│   │   ├── coditect-cli
│   │   ├── coditect-ide
│   │   └── coditect-automation
│   ├── collaboration-suite/
│   │   ├── coditect-marketplace
│   │   └── coditect-social
│   └── enterprise-suite/
│       ├── coditect-sso
│       └── coditect-compliance
│
├── services/           # Backend microservices
│   ├── auth-service
│   ├── analytics-service
│   └── notification-service
│
├── extensions/         # Optional integrations
│   ├── github-integration
│   ├── slack-integration
│   └── vscode-extension
│
├── infrastructure/     # Internal deployment
│   ├── terraform-configs
│   ├── k8s-manifests
│   └── monitoring-setup
│
└── research/          # Experimental work
    ├── next-generation
    └── experimental-agents

Deliverables:

Category definitions document (30-40 pages)
Category-to-value mapping
Migration plan from old to new structure
Naming conventions guide
Component placement decision tree

Phase 4: Map Current Submodules to Components 📋 PENDING

Duration: 2 weeks Owner: Codebase Analyzer Agent Dependencies: Phases 1-3 complete

Objectives:

Analyze all 46 current submodules
Determine component type for each
Identify dependencies between submodules
Assess customer value (standalone vs suite-only)
Recommend keep/merge/split/delete for each submodule

Analysis Framework:

For each submodule, determine:

Component Type: Platform, Product, Service, Extension, Infrastructure, Research
Category Placement: Which new category should it belong to?
Dependencies: What other components does it require?
Capabilities: What does it provide to other components?
Data Model: What data does it read/write?
MEMORY-CONTEXT Integration: How does it integrate with unified memory?
Customer Visibility: User-facing or internal?
Standalone Value: Can it work independently?
Suite Value: What additional value when combined with other components?
Recommendation: Keep as-is, merge with another, split into multiple, or delete

Deliverables:

Component catalog (100+ pages)
- One page per submodule with analysis
- Dependency graph
- Data model summary
- Integration requirements
Consolidation recommendations
Split/merge proposals
Deletion candidates with justification
Final recommended component count (likely 30-40 from current 46)

Phase 5: Design Component Interfaces & Integration Patterns 📋 PENDING

Duration: 2 weeks Owner: Senior Architect Agent Dependencies: Phases 1-4 complete

Objectives:

Define standard interfaces for component composition
Create MEMORY-CONTEXT integration patterns
Design event bus integration
Establish configuration schemas
Define health check and monitoring contracts
Create versioning and compatibility strategy

Component Interface Specification:

1. Initialization Contract

component_manifest:
  name: "coditect-cli"
  version: "2.0.0"
  type: "product"
  category: "developer-suite"

  dependencies:
    required:
      - "coditect-core >= 2.0.0"
      - "coditect-data-layer >= 1.5.0"
    optional:
      - "coditect-ide >= 1.0.0"

  provides:
    capabilities:
      - "cli_commands"
      - "project_scaffolding"
      - "agent_orchestration"

  configuration:
    schema: "./config-schema.json"
    defaults: "./config-defaults.yaml"

  memory_context:
    integration: "full"
    session_scope: "global"
    checkpoint_support: true

2. Discovery Protocol

How components find each other at runtime
Capability-based service discovery
Version negotiation
Fallback strategies when optional components missing

3. Event Bus Integration

Standard event schemas
Pub/sub patterns
Event filtering and routing
Event replay for new components

4. Data Access Patterns

Unified data layer API
Transaction boundaries
Cache coordination
Conflict resolution

5. MEMORY-CONTEXT Integration Pattern

Standard Directory Structure:

component-root/
├── MEMORY-CONTEXT/
│   ├── sessions/           # Component-specific sessions
│   ├── checkpoints/        # Component checkpoints
│   ├── shared/            # Cross-component shared context
│   │   ├── links/         # Links to other components' sessions
│   │   └── events/        # Cross-component events
│   └── exports/           # Export format for migration

Session Linking Across Components:

{
  "session_id": "sess_2025-11-26_cli_001",
  "component": "coditect-cli",
  "timestamp": "2025-11-26T10:30:00Z",
  "parent_session": "sess_2025-11-26_ide_042",
  "related_sessions": [
    {
      "component": "coditect-marketplace",
      "session_id": "sess_2025-11-26_market_015",
      "relationship": "triggered_by"
    }
  ],
  "shared_context": {
    "project_id": "proj_12345",
    "user_id": "user_67890",
    "workspace_id": "ws_abc123"
  }
}

Checkpoint Coordination:

Components checkpoint independently
Cross-component checkpoint markers
Restore coordination protocol
Conflict resolution on restore

Export/Import for Component Migration:

Standard export format
Component-specific extensions
Migration validation
Rollback procedures

Deliverables:

Component interface specification (75-100 pages)
MEMORY-CONTEXT integration guide (40-50 pages)
Event schemas catalog (30-40 pages)
Configuration schema templates
Health check protocol
Versioning strategy document
Code examples and templates

Phase 6: Create Comprehensive Reorganization Documentation 📋 PENDING

Duration: 2 weeks Owner: Project Organizer Agent + Documentation Specialists Dependencies: Phases 1-5 complete

Objectives:

Synthesize all research and design work into comprehensive documentation
Create migration guides for each component type
Document customer selection process
Establish parallel development workflows
Create architecture decision records

Documents to Create:

1. ARCHITECTURE-VISION.md

Overall vision and principles
Biological inspiration (distributed nervous system)
Benefits of composable architecture
Comparison with monolithic approach
Success metrics

2. COMPONENT-CATALOG.md

Complete list of components (30-40 components)
Category assignments
Component descriptions
Dependencies
Standalone vs suite value
Pricing tier recommendations

3. UNIFIED-DATA-MODEL.md

Complete data model specification
FoundationDB schema
Event bus architecture
MEMORY-CONTEXT integration
API contracts
Data flow diagrams

4. CATEGORY-DEFINITIONS.md

Platform, Products, Services, Extensions, Infrastructure, Research
What each category contains and why
Category boundaries
Naming conventions
Directory structure

5. COMPONENT-INTERFACES.md

Standard interfaces and integration patterns
Initialization contracts
Discovery protocols
Event bus patterns
Configuration schemas
Health checks
Versioning strategy

6. MIGRATION-ROADMAP.md

Step-by-step reorganization plan
8-sprint timeline (16 weeks)
Phased migration approach
Risk mitigation strategies
Rollback procedures
Testing strategy

7. CUSTOMER-SELECTION-GUIDE.md

How customers choose components
Component picker tool design
Pricing model by component
Bundle recommendations
Use case mapping (which components for which scenarios)

8. PARALLEL-DEVELOPMENT-GUIDE.md

How teams work independently on components
Integration testing strategy
Release coordination
Cross-team communication
Dependency management

9. ADR-001-COMPOSABLE-ARCHITECTURE.md

Architecture Decision Record
Context: Why move to composable architecture
Decision: Product suite model
Consequences: Benefits and trade-offs
Alternatives considered

10. ADR-002-UNIFIED-MEMORY.md

Architecture Decision Record
Context: Need for cross-component memory
Decision: Unified MEMORY-CONTEXT integration
Implementation: Event bus + shared storage
Consequences: Performance, complexity, benefits

Deliverables:

10 comprehensive documentation files (300+ pages total)
Migration checklists
Testing procedures
Rollback plans
Team assignments

Phase 7: Develop Implementation Roadmap 📋 PENDING

Duration: 1 week Owner: Project Manager Agent Dependencies: Phases 1-6 complete

Objectives:

Create detailed 8-sprint (16-week) implementation plan
Assign tasks to teams
Define checkpoints and milestones
Establish success criteria for each sprint
Create monitoring and reporting dashboards

8-Sprint Implementation Plan (Draft):

Sprint 1-2: Foundation (Weeks 1-4)

Goal: Establish unified data layer and MEMORY-CONTEXT integration
Tasks:
- Implement unified data model in FoundationDB
- Create MEMORY-CONTEXT integration library
- Build event bus infrastructure (RabbitMQ/Redis)
- Implement component discovery service
- Create configuration management system
- Write integration tests for data layer
Success Criteria:
- Components can read/write to unified data layer
- MEMORY-CONTEXT sessions link across components
- Event bus passes 1000+ messages/sec under load
- Component discovery works with 10+ components

Sprint 3-4: Component Migration - Platform & Core Products (Weeks 5-8)

Goal: Migrate platform and highest-priority products to new structure
Tasks:
- Reorganize platform components (core, data-layer, memory-context)
- Migrate developer-suite products (CLI, IDE, automation)
- Implement component interfaces for migrated components
- Create migration scripts for data
- Update documentation for migrated components
- Test standalone operation of each component
Success Criteria:
- Platform components operational in new structure
- 3 product suites migrated successfully
- All components pass integration tests
- Zero data loss in migration

Sprint 5-6: Component Migration - Services & Extensions (Weeks 9-12)

Goal: Migrate backend services and extension components
Tasks:
- Reorganize services (auth, analytics, notifications)
- Migrate extensions (integrations, plugins)
- Implement service mesh for inter-service communication
- Create extension marketplace infrastructure
- Build component picker UI
- Test cross-component workflows
Success Criteria:
- All services operational with new interfaces
- Extensions can be installed/removed dynamically
- Component picker allows customer selection
- Cross-component workflows functional

Sprint 7-8: Polish & Production Readiness (Weeks 13-16)

Goal: Production hardening and customer launch
Tasks:
- Load testing (1000+ concurrent users)
- Security audit of component boundaries
- Documentation completion (user guides, API docs)
- Customer onboarding workflow
- Monitoring dashboards for each component
- Migration guides for existing users
- Beta testing with 50-100 users
- Final production deployment
Success Criteria:
- System handles 1000+ concurrent users
- Zero critical security vulnerabilities
- 90%+ documentation coverage
- 80%+ beta user satisfaction
- Successful production deployment

Deliverables:

Detailed sprint plans (8 sprints, 200+ tasks)
Task assignments by team
Milestone definitions
Success criteria checklist
Risk register with mitigation plans
Budget estimate ($500K-$1M engineering effort)
Resource requirements (teams, infrastructure)

Success Metrics

Phase 1 Success (Research)

50+ page research document completed
10+ case studies analyzed
20+ best practices documented
Recommendations presented to stakeholders
Go/no-go decision made

Phase 2 Success (Unified Data Model)

Complete data model specification
MEMORY-CONTEXT integration guide
Event bus architecture designed
Schema validated with database experts
API contracts reviewed and approved

Phase 3 Success (Component Categories)

New category structure defined
All 46 submodules categorized
Migration plan created
Naming conventions established
Stakeholder approval received

Phase 4 Success (Submodule Mapping)

Component catalog completed (46 → 30-40 components)
Dependency graph created
Merge/split recommendations made
Customer value assessment for each component
Deletion candidates identified

Phase 5 Success (Component Interfaces)

Interface specification completed
MEMORY-CONTEXT patterns documented
Event schemas defined
Configuration templates created
Code examples available

Phase 6 Success (Documentation)

10 major documents completed (300+ pages)
ADRs created and approved
Migration roadmap finalized
Customer guides written
Parallel development workflows documented

Phase 7 Success (Implementation Roadmap)

Risk Management

Critical Risks

1. Data Migration Complexity

Risk: Data loss or corruption during migration to unified data model
Impact: HIGH
Probability: MEDIUM
Mitigation:
- Extensive backup procedures
- Dry-run migrations on copies
- Incremental migration approach
- Rollback procedures tested
- Data validation at every step

2. Component Dependency Hell

Risk: Circular dependencies or version conflicts between components
Impact: HIGH
Probability: MEDIUM
Mitigation:
- Strict dependency graph enforcement
- Semantic versioning required
- Automated dependency checking
- Clear upgrade paths documented

3. MEMORY-CONTEXT Integration Complexity

Risk: Cross-component memory linking doesn't work as expected
Impact: MEDIUM
Probability: MEDIUM
Mitigation:
- Prototype integration early (Sprint 1-2)
- Incremental rollout component by component
- Fallback to component-isolated memory if needed

4. Customer Confusion

Risk: Customers don't understand which components to choose
Impact: MEDIUM
Probability: HIGH
Mitigation:
- Create component picker tool
- Provide use case-based recommendations
- Offer bundles (starter, pro, enterprise)
- Clear documentation and video guides

5. Team Coordination Overhead

Risk: Parallel development leads to integration conflicts
Impact: MEDIUM
Probability: MEDIUM
Mitigation:
- Clear component boundaries
- Weekly integration sync meetings
- Automated integration testing
- Dedicated integration team

Budget Estimate

Engineering Effort

Phase 1-7 (Planning & Design): 8 weeks

Senior Architect: 320 hours @ $150/hr = $48,000
Product Manager: 160 hours @ $100/hr = $16,000
Technical Writer: 160 hours @ $75/hr = $12,000
Subtotal: $76,000

Sprint 1-8 (Implementation): 16 weeks

Backend Engineers (3): 1,920 hours @ $125/hr = $240,000
Frontend Engineers (2): 1,280 hours @ $125/hr = $160,000
DevOps Engineer (1): 640 hours @ $125/hr = $80,000
QA Engineer (1): 640 hours @ $100/hr = $64,000
Subtotal: $544,000

Total Engineering: $620,000

Infrastructure Costs

Development (4 months):

Cloud infrastructure: $5,000/month × 4 = $20,000
Database (FoundationDB cluster): $3,000/month × 4 = $12,000
Event bus (RabbitMQ/Redis): $2,000/month × 4 = $8,000
Monitoring (Prometheus/Grafana): $1,000/month × 4 = $4,000
Subtotal: $44,000

Production (Ongoing):

Cloud infrastructure: $10,000/month
Database: $5,000/month
Event bus: $3,000/month
Monitoring: $2,000/month
Total: $20,000/month

Grand Total

One-Time Investment: $664,000 Ongoing Monthly: $20,000

Timeline Summary

Phase	Duration	Dependencies	Deliverables
Phase 1: Research	1 week	None	Research findings (50 pages)
Phase 2: Unified Data Model	1-2 weeks	Phase 1	Data model spec (75 pages)
Phase 3: Component Categories	1 week	Phases 1-2	Category definitions (40 pages)
Phase 4: Submodule Mapping	2 weeks	Phases 1-3	Component catalog (100 pages)
Phase 5: Component Interfaces	2 weeks	Phases 1-4	Interface spec (100 pages)
Phase 6: Documentation	2 weeks	Phases 1-5	10 docs (300 pages)
Phase 7: Implementation Roadmap	1 week	Phases 1-6	Sprint plans (200+ tasks)
Sprint 1-8: Implementation	16 weeks	Phases 1-7	Production system

Total Duration: 26-27 weeks (6-7 months) Planning: 10-11 weeks Implementation: 16 weeks

Next Steps

Immediate (This Week)

✅ Create orchestration plan (this document)
⚡ Begin Phase 1 research (web-search-researcher agent)
⏸️ Schedule stakeholder review meeting
⏸️ Allocate budget for planning phases

Week 2

⏸️ Complete Phase 1 research
⏸️ Begin Phase 2 data model design
⏸️ Present findings to leadership
⏸️ Get approval to proceed with Phases 3-7

Weeks 3-10

⏸️ Complete Phases 2-6 (design and documentation)
⏸️ Create detailed implementation plan (Phase 7)
⏸️ Recruit/assign engineering teams
⏸️ Provision infrastructure for development

Weeks 11-26

⏸️ Execute Sprint 1-8 implementation
⏸️ Weekly progress reviews
⏸️ Beta testing (Sprint 7-8)
⏸️ Production launch

Stakeholder Communication

Weekly Status Reports

Format:

Phase/Sprint progress (% complete)
Completed deliverables
Blockers and risks
Next week's priorities
Budget variance

Distribution:

Leadership team
Engineering managers
Product managers
Architecture review board

Monthly Reviews

Topics:

Architecture decisions made
Progress vs plan
Budget vs actuals
Risk assessment updates
Timeline adjustments
Go/no-go checkpoints

Document Status

Version: 1.0 Status: Draft - Phase 1 In Progress Last Updated: 2025-11-26 Next Review: Weekly (during Phase 1-7)

Approvals Required:

Vision Statement​

Architecture Principles​

Current State Analysis​

Repository Structure (As-Is)​

Problems with Current Structure​

Opportunities​

7-Phase Execution Plan​

Phase 1: Research Composable Architectures ⚡ IN PROGRESS​

Phase 2: Design Unified Data Model 📋 PENDING​

Phase 3: Define Product-Based Component Categories 📋 PENDING​

Phase 4: Map Current Submodules to Components 📋 PENDING​

Phase 5: Design Component Interfaces & Integration Patterns 📋 PENDING​

Phase 6: Create Comprehensive Reorganization Documentation 📋 PENDING​

Phase 7: Develop Implementation Roadmap 📋 PENDING​

Success Metrics​

Phase 1 Success (Research)​

Phase 2 Success (Unified Data Model)​

Phase 3 Success (Component Categories)​

Phase 4 Success (Submodule Mapping)​

Phase 5 Success (Component Interfaces)​

Phase 6 Success (Documentation)​

Phase 7 Success (Implementation Roadmap)​

Risk Management​

Critical Risks​

Budget Estimate​

Engineering Effort​

Infrastructure Costs​

Grand Total​

Timeline Summary​

Next Steps​

Immediate (This Week)​

Week 2​

Weeks 3-10​

Weeks 11-26​

Stakeholder Communication​

Weekly Status Reports​

Monthly Reviews​

Document Status​

Vision Statement

Architecture Principles

Current State Analysis

Repository Structure (As-Is)

Problems with Current Structure

Opportunities

7-Phase Execution Plan

Phase 1: Research Composable Architectures ⚡ IN PROGRESS

Phase 2: Design Unified Data Model 📋 PENDING

Phase 3: Define Product-Based Component Categories 📋 PENDING

Phase 4: Map Current Submodules to Components 📋 PENDING

Phase 5: Design Component Interfaces & Integration Patterns 📋 PENDING

Phase 6: Create Comprehensive Reorganization Documentation 📋 PENDING

Phase 7: Develop Implementation Roadmap 📋 PENDING

Success Metrics

Phase 1 Success (Research)

Phase 2 Success (Unified Data Model)

Phase 3 Success (Component Categories)

Phase 4 Success (Submodule Mapping)

Phase 5 Success (Component Interfaces)

Phase 6 Success (Documentation)

Phase 7 Success (Implementation Roadmap)

Risk Management

Critical Risks

Budget Estimate

Engineering Effort

Infrastructure Costs

Grand Total

Timeline Summary

Next Steps

Immediate (This Week)

Week 2

Weeks 3-10

Weeks 11-26

Stakeholder Communication

Weekly Status Reports

Monthly Reviews

Document Status