West Side AI

Case Study

Iron Gate AI Governance

Risk-tiered AI governance with automated gate planning and runtime monitoring

100%

Audit trail coverage

Realtime

Gate status via Supabase

0

Undocumented deployments

PROBLEM

The Challenge

Enterprises deploying AI with no visibility into risk, compliance status, or audit trail — leaving legal and IT teams with significant exposure on every deployment. No standardized way to run risk assessments, generate DPIAs, or track a model through the full approval lifecycle.

SOLUTION

What We Built

Risk-tiered governance platform with automated gate planning, DPIA generation, approval workflows, and Langfuse runtime incident monitoring. Each deployment travels through a structured gate system: risk intake → compliance review → approval → staging → production. Every state transition is logged immutably.

OUTCOME

The Result

Complete audit trail from risk intake to production. Realtime gate status via Supabase Realtime. Immutable deployment logs. Auto-generated DPIAs and model cards. Incident monitoring live via Langfuse self-hosted. The platform gives compliance and legal teams a single source of truth for every AI deployment.

Tech Stack

Frontend
Next.js 14 App Router, TypeScript, Tailwind CSS
Backend
FastAPI, Python 3.11
Database
Supabase (PostgreSQL + RLS + Realtime)
Monitoring
Langfuse self-hosted
Infra
Docker Compose
Integrations
Apex / Salesforce layer

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