AI Governance
The EU AI Act Takes Effect in Months. Is Your System Ready?
Nearly three-quarters of enterprises plan to deploy agentic AI within two years; only 21% have a mature governance model (Deloitte, State of AI in the Enterprise 2026). The compliance deadline is August 2, 2026.
Download the Readiness GuideAI Governance Is an Infrastructure Problem
Most companies embedded AI into their products before building an AI governance framework around it. Now the regulatory clock is ticking and the gap is structural, not procedural.
AI compliance is not a legal checkbox. It requires engineering: audit trails for traceability, human-in-the-loop oversight, continuous observability, and documented AI risk management. These aren't features you bolt on after launch.
Meanwhile, shadow AI is already in your organization. Employees are using AI tools with no visibility or controls. It is a governance liability hiding in plain sight.
The gap between using AI and governing AI is where regulatory risk lives. Closing it requires an AI governance platform, not a policy document.
Production AI with governance built in
- We build production AI systems for enterprises like Nike.
- Our open-source governance platform, Airbender, provides system-level control: logging, human oversight, and monitoring built into the application layer.
- We've shipped agentic systems in weeks, not months. Governance is built in from day one.
- Open source (Apache 2.0). Self-hosted. Your data stays yours.
Get the AI Act Readiness Guide
A practical guide for engineering teams navigating AI compliance. Learn what the regulations require, where most systems fall short, and what to prioritize.
Frequently Asked Questions
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