HarvirSingh
Background
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AI Governance & Enterprise Platforms

AI Agent Governance Crisis in Enterprises

Designed an Enterprise AI Governance Platform to control AI agent sprawl, improve auditability, and reduce operational risk.

Business Problem & Context

Departments independently deployed AI agents, creating duplicated workflows, security risks, rising operational costs, and no centralized audit trail for AI-driven decisions.

Architecture & Strategy

To solve the challenges, a robust and scalable architecture was required. We prioritized decoupling services and introducing event-driven patterns.

AI Agent Registry
Policy Enforcement Engine
RBAC & Access Controls
Agent Lifecycle Management
Audit Logging Framework
Observability Dashboards
Cost Monitoring Engine

Event-Driven Architecture Stack

Measurable Outcomes

Agent Adoption Rate

Governed vs Ungoverned Agents

AI Policy Violations

Agent Utilization

Operational Cost per Agent

Audit Readiness Score

Mean Time to Investigate

Core Tech Stack

AI Agent Registry
Policy Enforcement Engine
RBAC & Access Controls
Agent Lifecycle Management
Audit Logging Framework
Observability Dashboards
Cost Monitoring Engine

Key Impact

Reduced governance blind spots by 80%, enabled enterprise-wide AI observability, and established centralized controls for 200+ AI agents across business functions.