690404:1139 Modify ADR
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@@ -3,11 +3,19 @@
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**Status:** Proposed
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**Date:** 2026-04-03
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**Version:** 1.8.5
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**Review Cycle:** Core ADR (Review every 6 months or Major Version upgrade)
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**Decision Makers:** Development Team, AI Integration Lead, System Architect
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**Gap Resolution:** Addresses requirement for automated document processing efficiency (Product Vision v1.8.5, Section 3.2) and acceptance criteria for AI-assisted metadata extraction (UAT Criteria, Section 4.7)
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**Version Dependency:**
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- **Effective From:** v1.9.0
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- **Applies To:** v1.9.0+ (Full implementation)
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- **Backward Compatible:** v1.8.5 (API endpoints only)
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- **Required For:** v2.0.0 (Core AI features)
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**Related Documents:**
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- [ADR-017: Ollama Data Migration Architecture](./ADR-017-ollama-data-migration.md)
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- [ADR-017B: Smart Legacy Document Digitization](./ADR-017B-ollama.md)
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- [ADR-017B: AI Document Classification](./ADR-017B-ai-document-classification.md)
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- [ADR-018: AI Boundary Policy](./ADR-018-ai-boundary.md) — AI Physical Isolation
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- [ADR-019: Hybrid Identifier Strategy](./ADR-019-hybrid-identifier-strategy.md) — UUID Strategy
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- [n8n Migration Setup Guide](../03-Data-and-Storage/03-05-n8n-migration-setup-guide.md)
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@@ -83,6 +91,45 @@
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---
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## Impact Analysis
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### Affected Components
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| Component | Impact Level | Description |
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|-----------|--------------|-------------|
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| **Backend Architecture** | **High** | New AiModule, MigrationService, database schema changes |
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| **Frontend Components** | **Medium** | DocumentReviewForm, Migration Dashboard enhancements |
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| **Infrastructure** | **High** | Admin Desktop AI services, n8n workflows, Docker setup |
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| **Security Model** | **Medium** | ADR-018 boundary enforcement, new API endpoints |
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| **Database Schema** | **Medium** | migration_logs table, ai_audit_logs table |
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| **API Layer** | **Medium** | New AI endpoints, authentication scopes |
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| **Testing Framework** | **Medium** | AI accuracy tests, integration tests |
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| **Documentation** | **Low** | User guides, admin procedures |
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### Required Changes
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| Change Category | Specific Changes | Priority |
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|----------------|------------------|----------|
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| **Database** | <ul><li>Create `migration_logs` table (SQL First)</li><li>Create `ai_audit_logs` table</li><li>Update data dictionary</li></ul> | **Critical** |
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| **Backend** | <ul><li>Implement AiModule with n8n integration</li><li>Create MigrationService with business logic</li><li>Add AI endpoints with CASL guards</li><li>Update validation layer for AI responses</li></ul> | **Critical** |
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| **Frontend** | <ul><li>Build DocumentReviewForm reusable component</li><li>Create Admin Migration Dashboard</li><li>Integrate AI suggestions in RFA form</li><li>Add confidence score indicators</li></ul> | **High** |
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| **Infrastructure** | <ul><li>Setup n8n on Admin Desktop (Desk-5439)</li><li>Deploy Ollama with Gemma 4</li><li>Configure PaddleOCR service</li><li>Setup Docker containers</li></ul> | **Critical** |
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| **Security** | <ul><li>Implement ADR-018 AI boundaries</li><li>Add AI-specific authentication scopes</li><li>Create audit logging for AI interactions</li><li>Setup rate limiting for AI endpoints</li></ul> | **Critical** |
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| **Testing** | <ul><li>AI accuracy validation tests</li><li>End-to-end pipeline tests</li><li>Security boundary verification</li><li>Performance benchmarking</li></ul> | **High** |
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| **Documentation** | <ul><li>Admin workflow procedures</li><li>User AI assistance guide</li><li>Troubleshooting procedures</li><li>API documentation updates</li></ul> | **Medium** |
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### Cross-Component Dependencies
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| Dependency | Source | Target | Impact |
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|------------|--------|--------|--------|
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| **AI Service → Database** | AiService extraction calls | migration_logs table | Data persistence |
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| **Frontend → AI Gateway** | DocumentReviewForm | /api/ai/extract endpoint | Real-time suggestions |
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| **n8n → Backend API** | AI workflows | Validation endpoints | Human-in-the-loop |
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| **Admin Desktop → QNAP NAS** | AI services | DMS backend API | Security boundary |
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| **Migration Service → Storage** | Batch processing | File storage system | Document handling |
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---
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## Architecture Overview
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### Core Technology Stack
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@@ -479,7 +526,7 @@ OUTPUT FORMAT:
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### Architecture Decision Records
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- **[ADR-017: Ollama Data Migration](./ADR-017-ollama-data-migration.md)** — Foundation migration architecture
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- **[ADR-017B: Smart Categorization](./ADR-017B-ollama.md)** — AI categorization use cases
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- **[ADR-017B: AI Document Classification](./ADR-017B-ai-document-classification.md)** — AI classification use cases
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- **[ADR-018: AI Boundary Policy](./ADR-018-ai-boundary.md)** — Security isolation requirements (CRITICAL)
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- **[ADR-019: Hybrid Identifier Strategy](./ADR-019-hybrid-identifier-strategy.md)** — UUID usage patterns (CRITICAL)
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@@ -500,16 +547,118 @@ OUTPUT FORMAT:
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---
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## ADR Review Cycle
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### Review Classification
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**Core ADR Status:** This ADR is classified as a **Core Architecture Decision** due to its fundamental impact on system architecture and security boundaries.
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### Review Schedule
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| Review Type | Frequency | Trigger | Scope |
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|-------------|-----------|---------|-------|
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| **Regular Review** | Every 6 months | Calendar-based | Validity assessment, performance metrics |
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| **Major Version Review** | Every major version (v2.0.0, v3.0.0) | Version planning | Architecture relevance, compatibility |
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| **Security Review** | Annually or after security incident | Security audit | ADR-018 compliance, threat model |
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| **Technology Review** | As needed | Tech stack changes | AI model updates, infrastructure changes |
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### Review Process
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#### Phase 1: Preparation (1 week before review)
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1. **Metrics Collection**
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- AI accuracy rates and trends
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- Performance benchmarks vs targets
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- Security incident reports
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- User feedback and satisfaction scores
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- Technology stack currency assessment
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2. **Stakeholder Notification**
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- Development Team
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- AI Integration Lead
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- System Architect
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- Security Team
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- Product Management
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#### Phase 2: Review Meeting (2-hour session)
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1. **Current State Assessment**
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- Review success metrics achievement
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- Identify gaps or deviations from original decision
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- Assess technology relevance and currency
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2. **Impact Evaluation**
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- Measure actual vs expected business impact
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- Evaluate implementation challenges
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- Identify unintended consequences
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3. **Future Considerations**
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- Emerging AI technologies
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- Changing business requirements
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- Scalability concerns
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- Security landscape changes
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#### Phase 3: Decision & Documentation (1 week after review)
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1. **Review Outcomes**
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- **No Change:** ADR remains valid and effective
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- **Update Required:** Minor adjustments to implementation
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- **Supersede:** New ADR created to replace this one
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- **Retire:** ADR no longer relevant
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2. **Documentation Updates**
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- Update review date and findings
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- Add new version notes
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- Link to related ADRs if created
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- Update implementation roadmap
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### Review Criteria
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| Criterion | Question | Pass/Fail Threshold |
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|-----------|----------|---------------------|
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| **Effectiveness** | Is AI achieving target accuracy (>85%)? | Pass: ≥85%, Fail: <85% |
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| **Performance** | Are processing times within targets (<15s)? | Pass: ≤15s, Fail: >15s |
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| **Security** | Is ADR-018 compliance maintained? | Pass: 100% compliant, Fail: Any violation |
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| **Adoption** | Are users utilizing AI features? | Pass: >70% adoption, Fail: ≤70% |
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| **Maintainability** | Is system supportable with current resources? | Pass: Yes, Fail: Requires additional resources |
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| **Technology Currency** | Are AI models and infrastructure up-to-date? | Pass: Current version, Fail: >1 version behind |
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### Review History Template
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```
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## Review Cycle [YYYY-MM-DD]
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**Review Type:** [Regular/Major Version/Security/Technology]
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**Reviewers:** [Names and roles]
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**Duration:** [Meeting date]
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### Findings
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- [Key findings from metrics and assessment]
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### Issues Identified
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- [Problems or concerns discovered]
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### Recommendations
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- [Action items and decisions]
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### Outcome
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- [No Change/Update Required/Supersede/Retire]
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### Next Review Date
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- [YYYY-MM-DD]
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```
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---
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## Document History
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| Version | Date | Author | Changes |
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|---------|------|--------|---------|
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| 1.8.5 | 2026-04-03 | AI Integration Lead | Initial ADR — AI Intelligence Integration Architecture |
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| 1.8.6 | 2026-04-03 | Tech Lead | Updated — Aligned with detailed task specifications and implementation requirements |
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| 1.8.7 | 2026-04-04 | System Architect | Enhanced — Added Impact Analysis template, ADR Review Cycle process, Gap Linking to requirements, and Version Dependency tracking |
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---
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**Last Updated:** 2026-04-03
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**Last Updated:** 2026-04-04
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**Status:** Proposed
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**Review Date:** 2026-04-10
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**Implementation Target:** v1.9.0
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**Next Review Date:** 2026-10-04 (6-month regular review)
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