Engineering teams rarely lose time to compliance. They lose time to unclear expectations, late-breaking requirements, and evidence hunts. Those same governance bottlenecks become the limiting factor on speed and confidence as AI accelerates software delivery.

In this two-day, hands-on workshop, you will learn how audit, risk, and compliance teams think, then translate their expectations into clear, testable claims that engineers can automate. Using [Combined Assurance Blueprinting](https://napecentral.com/resources/), you will build a policy-to-action thread for a real system and design verification procedures with explicit pass, fail, and inconclusive outcomes. You will then implement a working slice of autonomous assurance using [NAPE (Apache 2.0)](https://github.com/nape-not-another-policy-engine) and Ansible, collecting evidence and producing defensible results. At the end, you will understand how to turn governance into a continuous background process in delivery.

Additionally, you will learn to teach this approach within your org, including how to use LLM-driven development to safely scale assurance automation. You leave with reusable patterns, working examples, and the practical ability to start automating assurance work.

The workshop is not a compliance lecture or a GRC tooling demo. It is an engineering-first, hands-on working session for people who are tired of audit and compliance surprises and want to turn governance into a continuous process.