Kaegis AI
Open Enterprise AI Operating System for building, deploying, governing & scaling enterprise AI
Overview
Kaegis AI is an open Enterprise AI Operating System designed for building, deploying, governing, and scaling enterprise AI applications. It provides the infrastructure layer for agentic governance — including policy enforcement, audit trails, model access control, and enterprise-grade AI operations.
Problem
Enterprises deploying AI face a governance gap: LLM APIs are easy to call, but making AI deployments auditable, policy-compliant, access-controlled, and observable at scale requires significant custom infrastructure that most teams build from scratch.
Solution
An enterprise AI OS providing: model access control and policy enforcement, audit trail generation for all AI decisions, agentic governance workflows, AI operations dashboards, and pluggable connectors for enterprise data sources — all as an open platform.
Architecture
- 1Model access control layer — role-based LLM API access with policy enforcement
- 2Audit trail engine — immutable logs for every AI decision and tool invocation
- 3Agentic governance workflows — approval chains for high-stakes AI actions
- 4AI operations dashboard — observability for enterprise AI deployment health
- 5Enterprise data connectors — pluggable integrations for internal knowledge bases
- 6Policy engine — configurable rules for safe and compliant AI behavior
Technical Challenges
- Designing governance policies flexible enough for diverse enterprise use cases without requiring per-deployment customization.
- Building an audit trail system that captures enough context for compliance without introducing unacceptable latency.
Results
- Open-sourced enterprise AI governance platform filling the gap between raw LLM APIs and production enterprise deployments.
- Demonstrates agentic governance architecture applicable across industries.