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AI Governance for Technical Operations
A pragmatic framework for introducing LLM-enabled tools inside GMP environments without breaking trust or compliance.
Anchor Around Decisions, Not Models
Most AI pilots fail because they are scoped around the newest model, not the bottlenecked decision. Start with the exact artefacts where judgment slows down execution, then determine which mix of automation or augmentation is acceptable.
Build Two-speed Governance
Pair lightweight experimentation guardrails (sandbox data, red-team prompts, human-in-the-loop) with a formal validation track. Doing so lets teams explore boldly while maintaining a clean path to qualification.
Measure Behaviour Change
The success metric is not token usage or dashboards—it’s fewer late-stage surprises and faster operator onboarding. Track the human outcomes relentlessly.