Articles · Deep Dives
Long-form writeups of features, architectures, and patterns I designed and shipped on the AI-Driven GRC Platform. Each article covers why it was needed, how it works under the hood, and the responsible-AI controls that make it production-grade in a regulated environment.
The platform's coordination model, AI infrastructure, and cross-agent memory.
Seven coordinated agents (Intake, Triage, Risk Automation, Green Zone, Reviewer, Policy, Prioritization) on a shared vocabulary with explicit feedback loops — designed as a coherent system, not a bag of tools.
Read article AI InfrastructureA single LLMAuthService routes 16+ specialized agents across OpenAI, Anthropic, Gemini, and Azure OpenAI with automatic fallback, database-backed prompt versioning, and built-in cost telemetry.
Read article Cross-Agent MemoryEvery Agent Run reads from and writes to an organizational graph of departments, products, data categories, risks, controls, and precedents — so each new assessment starts with the lessons of every previous one.
Read article RoutingAuto-routes each assessment to the best reviewer using a transparent score that blends product, business unit, and skill fit with workload — with configurable knobs to tune the quality-vs-fairness trade-off per review type.
Read article Risk EngineRe-scores every open assessment whenever its facts change (new evidence, scope mutation, contradicted claim, deadline shift), with hysteresis bands and cool-downs to avoid priority whiplash.
Read article Analytics PlatformComprehensive analytics dashboard with React and TypeScript providing real-time insights into airline performance, route analytics, business metrics, and AI-powered travel trend analysis.
Read articleGrounded RAG, MCP, responsible-AI patterns, schema transformation, and privacy reviews.
Every sub-review summary is generated from retrieved evidence with citations on every claim. Hybrid retrieval (vector + BM25 + entity graph) feeds a Verifier agent that re-checks each citation actually entails the claim before a human ever sees it.
Read article MCP · ProtocolA Model Context Protocol server that turns free-form descriptions into fully structured, JWT-authenticated assessments — with provenance, per-field confidence, and reviewer overrides preserved end-to-end.
Read article Responsible AIStewards author pre-approved boundaries; the agent maps each assessment to its best-fit zone, surfaces conditions, and escalates anything that crosses a hard exclusion. Bounded autonomy for responsible AI.
Read article Schema TransformationFive complementary matching strategies (exact, pattern, semantic, contextual, AI-inferred) with weighted confidence aggregation, dual backend/frontend AI failover for 99.9% availability, and adaptive learning that gets sharper with every transformation.
Read article Privacy ReviewsAI-assisted Data Protection Impact Assessments (GDPR Art. 35) and Legitimate Interest Assessments (Art. 6(1)(f)) — pre-filled from intake and evidence with citations, validated by counsel, audit-ready by default.
Read article Event SourcingEvent-sourced workflow orchestration with deterministic risk scoring and explainable decision traces for auditability and reproducibility in regulated environments.
Read article Workflow OrchestrationUnified intake and decision routing framework supporting manual forms, JSON uploads, and API submissions with policy-gated decision routing and real-time workflow visibility.
Read article Vector ArchitectureDocument ingestion and retrieval system with PostgreSQL pgvector, OpenAI embeddings, and three-tier access control for explainable AI with full auditability.
Read article PlatformCentralized solution for managing governance, risk, and compliance activities with role-based interfaces, automated risk scoring, and AI-powered insights.
Read article Smart RetrievalLightweight RAG system using GPT-4o-mini for intelligent document selection before context retrieval, providing accurate answers with clear attribution.
Read articleThe full architectural narrative behind the agentic GRC platform.