ADCO: Autonomous Data & Compliance Officer (Multi-Agent System)
AI Engineer
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Production-grade multi-agent system for automated GDPR/HIPAA/CCPA compliance audits using Google ADK + Gemini + Presidio + ChromaDB with rigorous evaluation.
Visuals
Multi-agent system architecture
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Workflow patterns and execution
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Problem
Compliance audits are manual, slow, and error-prone. Teams spend most time scanning systems for PII exposure, mapping practices to regulations, generating reports, and monitoring compliance trends.
Solution
Built ADCO as a 6-agent system: Coordinator (workflow orchestration), RiskScanner (PII detection via Presidio), PolicyMatcher (regulatory mapping using RAG + Gemini), ReportWriter (PDF/JSON/Markdown reporting), Critic (LLM-based validation), and Watchdog (continuous monitoring/alerting). Implemented workflow patterns: sequential pipelines, parallel execution with asyncio.gather (2–3× speedup), and iterative refinement loops (PolicyMatcher + Critic). Added session management for multi-turn context, short/long-term memory using ChromaDB, structured logging with correlation IDs, and a Streamlit monitoring dashboard. Included Dockerization + Cloud Run deployment scripts and heavy-model optimizations.
Key Results
- 6 specialized agents (Coordinator, RiskScanner, PolicyMatcher, ReportWriter, Critic, Watchdog)
- Evaluation (18 test cases): Precision 85%+, Recall 82%+, F1 83%+
- Citation accuracy ~90%
- Parallel execution achieves 2–3× speedup vs sequential
- Multi-turn conversations maintain context across 5+ turns
- Structured logging + correlation IDs for tracing
- Cloud-ready Docker + Cloud Run deployment scripts