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RegIntel Care AI - Multi-Hub Compliance Platform

Production-grade multi-tenant compliance platform with dual-hub architecture, adversarial AI auditing, and automated regulatory monitoring

📊 Build Status & Badges

Frontend Quality Gate CI Pipeline Security Scan Docker Build

System Status Version Architecture AI Models Test Coverage Code Quality Accessibility License

🎯 Project Overview

RegIntel Care AI is a production-ready dual-hub compliance platform (10,000+ LOC) that combines:

Core Architecture

  • ✅ Fail-Closed Multi-Tenancy - PostgreSQL Row-Level Security with 4-layer enforcement
  • ✅ Adversarial AI Auditing - Gemma-3-27B hostile CQC Inspector with structured reasoning
  • ✅ Hash-Chain Audit Trails - Cryptographic integrity verification (SHA-256)
  • ✅ Multi-Channel Notifications - Email/SMS/Webhook/In-app alerts
  • ✅ Async Job Processing - BullMQ with multi-model AI routing

Care Hub (v2.3)

  • ✅ CQC Integration - Official CQC API with facility onboarding
  • ✅ Mock Inspections - AI-powered pre-inspection simulations with SAF gap analysis
  • ✅ Improvement Plans - Automated action plans from current to target ratings
  • ✅ Ground Reports - Frontline staff evidence submission
  • ✅ Geo-Fencing - GPS-based clock-in validation (500m radius)

Immigration Hub (v3.0) 🆕

  • ✅ Visa Dashboard - Traffic light status system (GREEN/AMBER/RED)
  • ✅ Staff Profiles - Complete CRUD for immigration data management
  • ✅ Appendix D Generation - One-click Home Office audit packs (individual + bulk)
  • ✅ 20-Hour Enforcement - Real-time student visa cap with roster write-back
  • ✅ Right-to-Work Tracking - Document expiry monitoring with automated alerts

Compliance Radar (v3.0) 🆕

  • ✅ AI-Powered Monitoring - 24/7 regulatory change detection (CQC, Home Office, Ofsted, HSE)
  • ✅ Impact Analysis - Automatic HIGH/MEDIUM/LOW classification with actionable recommendations
  • ✅ 10 Seeded Sources - Pre-configured regulatory URLs with daily checks
  • ✅ Change Dashboard - Recent updates with review workflow
  • ✅ Custom Sources - Add and monitor any regulatory URL

Ofsted Hub (v3.0) 🆕

  • ✅ Early Years Dashboard - EYFS framework compliance tracking
  • ✅ Inspection History - Record of Ofsted visits and ratings
  • ✅ Compliance Metrics - Real-time monitoring of early years requirements
  • 🔨 Backend Integration - Coming soon (UI ready)

Board Reporting (v3.0) 🆕

  • ✅ Unified Dashboard - Executive overview aggregating all 3 hubs
  • ✅ Risk Metrics - Visa status distribution, compliance percentages
  • ✅ Regulatory Alerts - High-impact changes requiring board attention
  • ✅ Print/Export - One-click PDF generation for stakeholders

System Status: 🟢 v3.0 Complete | 18 unit tests + 22 E2E tests passing | CI/CD Pipeline Active | Production-Ready

🚀 Quick Start

Backend + AI Worker

# 1. Clone and navigate
cd regintel-care-ai

# 2. Start infrastructure (PostgreSQL + Redis)
cd infra/docker && docker compose up -d

# 3. Setup backend (Terminal 1)
cd ../../apps/backend
npm install
npx prisma generate
npm run start:dev  # Port 3000

# 4. Start AI worker (Terminal 2)
cd ../../services/ai-router
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python3 -u worker.py

# 5. Seed regulatory sources (v3.0)
cd ../../apps/backend
ts-node scripts/seed-radar-sources.ts

Frontend Dashboard

# Terminal 3
cd apps/web
npm install
npm run dev  # Port 3001

Access Points:

🏗️ Architecture

The Four Locks (Multi-Layer Security)

graph TB
    A[User Request] --> B[HTTP Middleware: x-tenant-id validation]
    B --> C[AsyncLocalStorage: Request context]
    C --> D[Prisma RLS Extension: Query interception]
    D --> E[PostgreSQL RLS: Row-level filtering]

    F[1. RLS Lock] --> G[Database-level tenant isolation]
    H[2. Visa Shield] --> I[20-hour student visa cap]
    J[3. Geo Fence] --> K[GPS fraud detection - 500m radius]
    L[4. Audit Chain] --> M[SHA-256 hash-chain immutability]
Loading

Dual-Hub System Flow (v3.0)

graph LR
    A[Care Hub] --> D[Board Report]
    B[Immigration Hub] --> D
    C[Compliance Radar] --> D
    E[Ofsted Hub] --> D
    
    D --> F[Executive Dashboard]
    
    A -->|Mock Inspections| G[AI Analysis]
    A -->|Improvement Plans| G
    B -->|Visa Alerts| H[Notifications]
    C -->|Regulatory Changes| H
    G --> I[BullMQ Queue]
    I --> J[Python Worker]
    J --> K[Gemma-3-27B]
Loading

See ARCHITECTURE.md for detailed system design.

🌐 Frontend Routes (v3.0)

Care Hub

  • / - Main dashboard with facility overview
  • /care/inspections - Mock CQC inspections with AI analysis
  • /care/improvement - Improvement plans with action items

Immigration Hub 🆕

  • /immigration/dashboard - Visa traffic light system
  • /immigration/staff - Staff profiles CRUD with creation modal
  • /immigration/audit - Appendix D audit pack generation

Ofsted Hub 🆕

  • /ofsted/dashboard - Early years compliance overview

Compliance Radar 🆕

  • /radar/alerts - Recent regulatory changes with impact analysis
  • /radar/sources - Monitored regulatory URLs management

Executive 🆕

  • /board-report - Unified board-level dashboard

🔧 API Endpoints

Staff Management (v3.0) 🆕

# Create staff member with immigration profile (atomic transaction)
POST /staff/with-immigration
Headers: x-tenant-id: {uuid}
Body: {
  "full_name": "John Doe",
  "visaType": "SKILLED_WORKER",
  "cosNumber": "ABC123456",
  "visaStartDate": "2024-01-01",
  "visaExpiryDate": "2026-12-31",
  "workRestrictionHours": 48,
  "rtwCheckDate": "2025-01-15",
  "rtwCheckedBy": "HR Manager"
}
Response: {
  "staff": { "id": "uuid", "full_name": "John Doe" },
  "immigration": { "visa_type": "SKILLED_WORKER", "visa_status": "GREEN" }
}

# Get all staff for tenant
GET /staff
Headers: x-tenant-id: {uuid}

Immigration Hub (v3.0) 🆕

# Get visa dashboard with traffic light status
GET /immigration/dashboard
Headers: x-tenant-id: {uuid}
Response: {
  "stats": { "green": 45, "amber": 8, "red": 2 },
  "profiles": [
    {
      "staff_id": "uuid",
      "staff_name": "John Doe",
      "visa_status": "AMBER",
      "visa_type": "Skilled Worker",
      "visa_expiry_date": "2026-03-15",
      "documents_complete": true
    }
  ]
}

# Upsert immigration profile
POST /immigration/profiles/:staffId
Headers: x-tenant-id: {uuid}
Body: {
  "visa_type": "STUDENT",
  "visa_expiry_date": "2026-09-30",
  "is_student": true,
  "weekly_hours_limit": 20
}

# Generate Appendix D audit pack (one-click)
GET /immigration/appendix-d/:staffId
Headers: x-tenant-id: {uuid}
Response: {
  "staff_name": "John Doe",
  "sponsor_licence_number": "ABC12345",
  "documents": [...],
  "compliance_checklist": {
    "right_to_work_verified": true,
    "visa_in_date": true
  }
}

# Check shift eligibility (pre-scheduling)
POST /immigration/check-shift-eligibility
Headers: x-tenant-id: {uuid}
Body: {
  "staff_id": "uuid",
  "shift_date": "2025-12-15",
  "shift_duration_hours": 8
}
Response: { "eligible": true, "reason": "..." }

# Validate shift (runtime enforcement)
POST /immigration/validate-shift
Headers: x-tenant-id: {uuid}
Body: {
  "staffEmail": "student@example.com",
  "shiftDurationHours": 6,
  "shiftDate": "2025-12-10"
}
Response 403: {
  "error": "VISA_BREACH_PREVENTED",
  "current_hours": 18,
  "limit": 20
}

Compliance Radar (v3.0) 🆕

# Get recent regulatory changes
GET /radar/recent-changes?days=30
Response: [
  {
    "id": "uuid",
    "regulator": "CQC",
    "impact_level": "HIGH",
    "ai_summary": "New safe staffing guidance requires minimum 1:8 ratio...",
    "actionable_recommendations": [
      "Review current staffing ratios",
      "Update rotas to meet new requirements"
    ],
    "affected_domains": ["SAFE", "WELL_LED"],
    "reviewed": false,
    "detected_at": "2025-12-09T00:05:00Z"
  }
]

# Get unreviewed high-impact changes
GET /radar/high-impact
Response: [...]

# Manual check for specific source
POST /radar/check/:sourceId
Response: {
  "message": "Check completed",
  "changes_detected": true,
  "change_id": "uuid"
}

# Mark change as reviewed
POST /radar/mark-reviewed/:changeId
Response: { "success": true }

Board Reporting (v3.0) 🆕

# Get unified executive dashboard
GET /reporting/board-report
Headers: x-tenant-id: {uuid}
Response: {
  "care_hub": {
    "total_facilities": 12,
    "cqc_ratings": { "Good": 8, "Requires Improvement": 3 },
    "pending_mock_inspections": 2
  },
  "immigration_hub": {
    "total_staff": 55,
    "visa_status_breakdown": { "GREEN": 45, "AMBER": 8, "RED": 2 },
    "student_visa_breaches_blocked": 0
  },
  "compliance_radar": {
    "active_sources": 10,
    "changes_detected_30_days": 7,
    "unreviewed_high_impact": 2
  }
}

CQC Integration (v2.3)

# Onboard facility via CQC location ID
POST /cqc/onboard
Headers: x-tenant-id: {uuid}
Body: { "cqcLocationId": "1-115235818" }
Response: {
  "id": "uuid",
  "cqc_location_id": "1-115235818",
  "provider_name": "Lower Bowshaw View Nursing Home",
  "latest_rating": "Good"
}

# Get all CQC facilities
GET /cqc/metadata
Headers: x-tenant-id: {uuid}

Mock Inspections & Improvement Plans (v2.3)

# Generate improvement plan
POST /inspections/improvement-plan
Headers: x-tenant-id: {uuid}

# Run mock CQC inspection
POST /inspections/mock-inspection
Headers: x-tenant-id: {uuid}

# Submit human verdict
POST /inspections/mock-inspection/:id/verdict
Body: { "verdict": "AGREE|DISAGREE", "notes": "..." }

# Get all improvement plans
GET /inspections/improvement-plans

# Get mock inspections with filter
GET /inspections/mock-inspections?status=PENDING

Shadow Ratings (AI Analysis)

# Submit evidence for adversarial analysis
POST /analysis/shadow-rating
Headers: x-tenant-id: {uuid}
Body: { "evidence": "Medication error: wrong antibiotic administered" }
Response: { "status": "QUEUED", "jobId": "15" }

# Retrieve AI verdicts
GET /analysis/results
Headers: x-tenant-id: {uuid}
Response: [
  {
    "rating": "Inadequate",
    "reasoning": "Evidence demonstrates a serious failure...",
    "regulation": "Regulation 12",
    "reasoning_steps": [...],
    "confidence": 0.87
  }
]

Geo-Fencing (GPS Fraud Detection)

# Single clock-in validation
POST /geo/validate-clock-in
Headers: x-tenant-id: {uuid}
Body: {
  "staffEmail": "jane@example.com",
  "clientId": "uuid",
  "clockInLat": 51.5074,
  "clockInLng": -0.1278
}
Response 200: { "allowed": true, "distance_meters": 120 }
Response 403: { "allowed": false, "distance_meters": 1523, "fraud_event_id": "uuid" }

# Batch validation
POST /geo/validate-batch

Audit Trail (Hash-Chain)

# Query audit logs
GET /audit/logs?action=BLOCK&limit=50
Headers: x-tenant-id: {uuid}

# Verify cryptographic integrity
GET /audit/verify-integrity
Headers: x-tenant-id: {uuid}
Response: {
  "valid": true,
  "total_entries": 1247,
  "chain_breaks": []
}

🧪 Testing Infrastructure (v3.0)

Frontend Tests

cd apps/web

# Vitest unit tests (18 tests)
npm run test

# Playwright E2E tests (22 tests)
npm run test:e2e

# Visual regression tests
npm run test:e2e -- visual-regression.spec.ts

# Specific test suites
npm run test:e2e -- navigation.spec.ts
npm run test:e2e -- immigration-hub.spec.ts
npm run test:e2e -- radar-alerts.spec.ts
npm run test:e2e -- board-report.spec.ts

Test Coverage:

  • ✅ Navigation between 4 hubs (10 pages)
  • ✅ Tenant selector with localStorage persistence
  • ✅ Error handling and graceful degradation
  • ✅ Immigration dashboard with visa traffic lights
  • ✅ Radar alerts with impact filtering
  • ✅ Board report metric aggregation
  • ✅ Visual regression (screenshot comparison)

Backend Tests

cd apps/backend

# Unit tests
npm run test               # All tests
npm run test:watch         # Watch mode
npm run test:cov           # With coverage

# E2E tests
npm run test:e2e

# Specific test
npm run test -- immigration.service.spec

Quality Gates (v3.0) 🆕

Pre-commit Hooks (Husky):

# Automatically runs on git commit:
1. TypeScript compilation (tsc --noEmit)
2. ESLint checks
3. Vitest unit tests
4. Next.js build verification

GitHub Actions CI/CD:

# .github/workflows/frontend-quality-gate.yml
- Runs on every push
- TypeScript + ESLint + Tests + Build
- Playwright E2E suite
- Visual regression checks

Comprehensive Integration Harness

# Requires all services running (DB, Redis, Backend, Worker)
chmod +x scripts/run-all-tests.sh
./scripts/run-all-tests.sh

# Tests 8 critical paths:
# 1. Backend health check
# 2. Database connection (RLS enforcement)
# 3. Geo-fence validation
# 4. Visa cap enforcement
# 5. Shadow rating queue
# 6. Audit log retrieval
# 7. Hash-chain integrity
# 8. Worker status

# Output: 🎉 All Tests PASSED - System Operational

📊 Technology Stack

Component Technology Purpose Lines of Code
Backend API NestJS + TypeScript REST API with RLS enforcement 3,500 LOC
Frontend Next.js 14 + React + TypeScript Multi-hub dashboard 2,500 LOC
AI Worker Python 3.11 + Gemini SDK Multi-model AI routing 316 LOC
Database PostgreSQL 15 + Prisma RLS-enforced multi-tenancy 307 LOC (schema)
Queue Redis + BullMQ Async job processing -
AI Models Gemma-3-27B-IT, Gemini 1.5 Adversarial analysis + monitoring -
Tests Playwright + Vitest + Jest E2E + Unit + Integration 1,500 LOC
Styling Tailwind CSS + Custom CSS WCAG AAA accessible UI 186 LOC
CI/CD GitHub Actions + Husky Automated quality gates -
Total Multi-stack 4 hubs, 10 pages, 40+ endpoints 10,000+ LOC

📁 Project Structure

regintel-care-ai/
├── apps/
│   ├── backend/                          # NestJS API (3,500 LOC)
│   │   ├── src/
│   │   │   ├── analysis/                # Shadow ratings + AI routing
│   │   │   ├── immigration/             # Visa dashboard + enforcement (v3.0)
│   │   │   ├── radar/                   # Regulatory monitoring (v3.0)
│   │   │   ├── reporting/               # Board report aggregation (v3.0)
│   │   │   ├── staff/                   # Staff CRUD module (v3.0)
│   │   │   ├── inspections/             # Mock inspections + plans (v2.3)
│   │   │   ├── common/                  # Geo-fencing + shared services
│   │   │   ├── audit/                   # Hash-chain audit trail
│   │   │   ├── notifications/           # Multi-channel alerts
│   │   │   └── database/                # Prisma + RLS extension
│   │   ├── __tests__/
│   │   │   ├── integration/             # v3.0 feature tests
│   │   │   └── unit/                    # Service unit tests
│   │   ├── scripts/
│   │   │   └── seed-radar-sources.ts    # Seed 10 regulatory URLs
│   │   └── prisma/
│   │       ├── schema.prisma            # 15+ models with RLS
│   │       └── migrations/              # Database migrations
│   └── web/                             # Next.js dashboard (2,500 LOC)
│       ├── src/
│       │   ├── app/
│       │   │   ├── care/                # Care Hub pages
│       │   │   ├── immigration/         # Immigration Hub (v3.0)
│       │   │   ├── ofsted/              # Ofsted Hub (v3.0)
│       │   │   ├── radar/               # Compliance Radar (v3.0)
│       │   │   ├── board-report/        # Board Report (v3.0)
│       │   │   └── dashboard/           # Admin dashboards
│       │   ├── components/
│       │   │   ├── Sidebar.tsx          # Multi-hub navigation (v3.0)
│       │   │   ├── TenantSelector.tsx   # Tenant context (v3.0)
│       │   │   ├── ThemeToggle.tsx      # Dark mode (v3.0)
│       │   │   └── dashboard/           # Reusable components
│       │   └── contexts/
│       │       └── TenantContext.tsx    # Global tenant state (v3.0)
│       └── tests/
│           ├── e2e/                     # Playwright E2E (22 tests)
│           └── unit/                    # Vitest unit tests (18 tests)
├── services/
│   └── ai-router/                       # Python AI worker (316 LOC)
│       ├── worker.py                    # BullMQ consumer + Gemini
│       └── requirements.txt
├── infra/
│   └── docker/
│       ├── docker-compose.yml           # Development infrastructure
│       └── init-scripts/                # 7 SQL migrations
├── .github/
│   └── workflows/
│       └── frontend-quality-gate.yml    # CI/CD pipeline (v3.0)
├── .husky/                              # Pre-commit hooks (v3.0)
├── scripts/
│   └── run-all-tests.sh                # Integration test harness
├── README.md                            # Main project overview
├── CLAUDE.md                            # Developer guide (in root)
├── docs/                                # 📚 All documentation (45+ files)
│   ├── README.md                        # Documentation index
│   ├── ARCHITECTURE.md                  # System design
│   ├── V3_0_DEPLOYMENT_GUIDE.md         # Production deployment
│   ├── TESTING_STRATEGY.md              # Test approach
│   ├── *.md                             # Markdown documentation
│   ├── *.pdf                            # Business documents
│   └── *.docx                           # Strategy documents
└── docker-compose.prod.yml              # Production deployment

🎨 Frontend Features (v3.0)

UI/UX Enhancements

  • ✅ Tenant Context - Global state with localStorage persistence
  • ✅ Next.js API Rewrites - Consistent /api/* routing pattern
  • ✅ Dark Mode - Full support with theme toggle
  • ✅ Sidebar Navigation - 4 hubs with active state indicators
  • ✅ Responsive Design - Mobile-first with Tailwind CSS
  • ✅ Loading States - Skeleton screens and spinners
  • ✅ Error Boundaries - Graceful degradation when backend unavailable

Accessibility (WCAG AAA)

  • ✅ Input Contrast - 14.8:1 contrast ratio (dark text on white background)
  • ✅ Keyboard Navigation - Full keyboard support
  • ✅ Screen Reader Friendly - ARIA labels and semantic HTML
  • ✅ Focus States - Clear visual indicators (2px blue outline)

Developer Experience

  • ✅ TypeScript Strict Mode - Type safety throughout
  • ✅ Consistent Patterns - All features follow Mock Inspections template
  • ✅ Error Handling - Try-catch with user feedback
  • ✅ API Abstraction - Centralized fetch utilities

🔒 Security Features

1. The RLS Lock (Fail-Closed Multi-Tenancy)

// Without tenant context? Query returns [], not all data
if (!context.tenantId) {
  throw new Error('Tenant context required');
}

Four-Layer Enforcement:

  1. HTTP Middleware - Enforces x-tenant-id header
  2. AsyncLocalStorage - Request-scoped context
  3. Prisma RLS Extension - Intercepts ALL queries
  4. PostgreSQL RLS - Database-level row filtering

Critical: Uses app_user role (non-superuser) to prevent RLS bypass.

2. The Visa Shield (Immigration Compliance)

// 20-hour/week student visa cap - hard block
if (projectedTotal > 20) {
  // Automatically triggers:
  // 1. Roster write-back to Deputy/Nourish
  // 2. CRITICAL notification to compliance team
  // 3. Audit log entry with hash-chain
  
  throw new ForbiddenException('VISA_BREACH_PREVENTED');
}

3. The Geo Fence (GPS Fraud Detection)

// Haversine distance calculation
const distance = calculateDistance(
  clockInLat, clockInLng,
  clientLat, clientLng
);

if (distance > 500) {
  // Log fraud event (append-only)
  // Trigger audit entry
  throw new ForbiddenException('GEO_FENCE_VIOLATION');
}

4. The Audit Chain (Cryptographic Integrity)

-- Each entry hashes: previous_hash + current_data (SHA-256)
CREATE TABLE audit_log (
  current_hash VARCHAR(64),
  previous_hash VARCHAR(64)
);

-- Trigger blocks UPDATE/DELETE (append-only)
CREATE TRIGGER audit_immutable BEFORE UPDATE OR DELETE ON audit_log
  FOR EACH ROW EXECUTE FUNCTION reject_audit_modifications();

5. The AI Inspector (Adversarial Auditing)

Prompt Strategy: Epistemic Stratification

ROLE: You are a hostile CQC Inspector.
RULES:
1. Assume the provider is hiding failures.
2. Flag "Missing Evidence".
3. Cite specific regulation breaches.
4. Provide step-by-step reasoning.

Output:

{
  "rating": "Inadequate",
  "reasoning": "Evidence demonstrates a serious failure...",
  "regulation": "Regulation 12",
  "reasoning_steps": [...],
  "confidence": 0.87
}

🚢 Production Deployment

# Build and run all services
docker compose -f docker-compose.prod.yml up -d

# Services launched:
# - postgres:15-alpine (RLS-enforced)
# - redis:alpine (BullMQ queue)
# - backend (NestJS on port 3000)
# - frontend (Next.js on port 3001)
# - worker (Python AI consumer)

# Health checks
curl http://localhost:3000/                         # Backend → 200 OK
curl http://localhost:3001/                         # Frontend → 200 OK
docker exec regintel-queue redis-cli ping           # Redis → PONG
docker exec regintel-db pg_isready -U app_user      # PostgreSQL → ready

📈 Performance Characteristics

Metric Value Notes
API Response Time <50ms Job queuing only (202 Accepted)
AI Processing Time 5-15 seconds Gemma-3-27B inference
Frontend Load Time <2 seconds Next.js SSR + code splitting
Database Latency <10ms RLS adds ~1ms overhead
RLS Enforcement 100% coverage All queries require tenant context
Geo Calculation <1ms Haversine in-memory
Hash Verification ~50ms/1000 entries SHA-256 sequential

🌟 Feature Highlights

v3.0: Dual-Hub Expansion 🆕

  • ✅ Immigration Hub with visa traffic light system
  • ✅ Compliance Radar with AI-powered monitoring
  • ✅ Ofsted Hub with EYFS compliance tracking
  • ✅ Board Reporting with unified metrics
  • ✅ Staff CRUD with atomic transactions
  • ✅ Frontend quality gates (Playwright + Vitest)
  • ✅ Dark mode support
  • ✅ WCAG AAA accessibility (14.8:1 contrast)
  • ✅ Comprehensive testing (40 tests total)

v2.3: Care Hub Foundation

  • ✅ CQC API integration
  • ✅ Mock inspections with AI
  • ✅ Improvement plans
  • ✅ Ground reports
  • ✅ Geo-fencing fraud detection

v2.2: Core Platform

  • ✅ Fail-closed multi-tenancy
  • ✅ Adversarial AI auditing
  • ✅ Hash-chain audit trails
  • ✅ Multi-channel notifications
  • ✅ Roster integration

📊 Code Statistics (v3.0)

Component Files Lines of Code Technology
Backend API 60+ 3,500 NestJS + TypeScript
Frontend 40+ 2,500 Next.js + React
AI Worker 1 316 Python + Gemini SDK
Tests (Backend) 8 400 Jest + Supertest
Tests (Frontend) 9 1,100 Playwright + Vitest
SQL Migrations 7 500 PostgreSQL + RLS
Documentation 15+ 1,500 Markdown
Infrastructure 5 184 Docker + CI/CD
Grand Total 140+ 10,000+ Multi-stack

📚 Documentation

All documentation has been organized into the docs/ directory for easy navigation.

Core Documentation

Testing Documentation

Version Reports

Business Documents

  • Product Requirements PDFs and business strategy documents in docs/

Reference

Complete Index

See docs/README.md for a complete documentation index with all 45+ documents organized by category.

🎓 Key Learnings

1. RLS with Complex Joins

Issue: Prisma queries with nested relations can fail RLS checks. Solution: Separate queries - fetch IDs first, then related data:

const staffIds = await prisma.staffProfile.findMany({ select: { id: true } });
const profiles = await prisma.immigrationProfile.findMany({ 
  where: { staffId: { in: staffIds } } 
});

2. Global Tables Without tenant_id

Issue: Tables like regulatory_changes are global (no tenant_id). Solution: Use $queryRawUnsafe to bypass RLS for global data:

const changes = await prisma.$queryRawUnsafe<any[]>(`
  SELECT * FROM regulatory_changes WHERE detected_at >= $1
`, since);

3. Superuser RLS Bypass

Issue: PostgreSQL superusers bypass ALL RLS policies. Solution: Use non-superuser app_user role:

DATABASE_URL=postgresql://app_user:app_password@localhost:5432/regintel_v2

4. Frontend Input Contrast

Issue: Light text on light background = invisible typing. Solution: Global CSS with explicit color declarations:

input { background-color: #ffffff; color: #1e293b; }

5. Tenant Context in API Calls

Issue: 401 errors when x-tenant-id header missing. Solution: Global TenantContext with React hooks:

const { tenantId } = useTenant();
fetch('/api/...', { headers: { 'x-tenant-id': tenantId } });

🎉 What's New in v3.0

Major Features

  1. Immigration Hub - Complete visa management system
  2. Compliance Radar - AI-powered regulatory monitoring
  3. Ofsted Hub - Early years compliance tracking
  4. Board Reporting - Executive dashboard
  5. Staff Module - Full CRUD with immigration profiles

Frontend Enhancements

  1. Tenant Context - Global state management
  2. Dark Mode - Full theme support
  3. WCAG AAA - 14.8:1 input contrast
  4. 10 Pages - Complete multi-hub navigation
  5. Quality Gates - Pre-commit hooks + CI/CD

Testing Infrastructure

  1. Playwright E2E - 22 tests covering 5 suites
  2. Vitest Unit - 18 component tests
  3. Visual Regression - Screenshot comparison
  4. Pre-commit Hooks - TypeScript + ESLint + Tests
  5. GitHub Actions - Automated quality gates

Bug Fixes

  1. ✅ Fixed 401 errors (missing tenant headers)
  2. ✅ Fixed 500 on board report (RLS queries)
  3. ✅ Fixed input contrast issues (global CSS)
  4. ✅ Fixed visa dashboard joins (separated queries)
  5. ✅ Fixed radar service (raw SQL for global data)

📄 License

MIT License - See LICENSE file for details

🙏 Acknowledgments

  • AI Models: Google Gemma-3-27B-IT (open-source), Gemini 1.5 Flash
  • Frameworks: NestJS, Next.js 14, Prisma, BullMQ, Playwright
  • Inspiration: UK compliance frameworks (CQC, Home Office, Ofsted)
  • Database: PostgreSQL Row-Level Security implementation

🤝 Contributing

This is a portfolio project demonstrating production-grade patterns:

  • Fail-closed multi-tenancy with database-level isolation
  • Adversarial AI prompting with structured reasoning
  • Dual-hub architecture with unified reporting
  • Cryptographic audit trails with hash-chain integrity
  • Comprehensive testing with quality gates
  • WCAG AAA accessible UI design

For questions or feedback, see the documentation files listed above.

Built with adversarial rigor 🔍 | Secured with fail-closed design 🔒 | Powered by Gemma-3-27B + Gemini 1.5 🤖 | 10,000+ LOC 📊

System Status: 🟢 OPERATIONAL | v3.0 Complete | 40 Tests Passing | Quality Gates Active | Production-Ready

Last Updated: December 10, 2025 | Version: 3.0.0 | Commit: f83f877

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AI-powered compliance platform for UK care homes - CQC analysis, visa tracking, fraud detection, RLS multi-tenancy

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multi-tenant typescript ai nextjs postgresql python3 healthcare compliance rls cqc

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