Satya Neerupudi
25 years keeping aircraft fit to fly — now translating aviation’s safety discipline into AI agent governance.
I spent a quarter-century in aviation engineering, where the entire industry’s credibility rests on a single discipline: keeping complex, safety-critical systems provably fit for service across their whole life — and grounding them the instant risk becomes unacceptable.
AI agents now face the same problem aircraft faced a century ago. They act autonomously, their actions carry real operational consequence, and they persist in production where tools, data and threats shift underneath them. Certifying them once and trusting them forever is not governance — it is hope.
So I’ve been translating aviation’s continuing airworthiness into AI: a lifecycle framework I call Continuous Agentworthiness™ — registration, identity, configuration control, monitoring, mandatory directives, incident reporting, grounding and return to service. Not a replacement for NIST AI RMF, ISO/IEC 42001 or the EU AI Act, but the operating discipline that wraps them.
This site is where I publish the framework and the writing around it. If you’re building or governing AI agents, I’d genuinely like to hear where the analogy helps — and where it breaks.