Guardrails, evaluation and audit trails that let enterprises use generative AI with confidence.
Where the risk sits
Generative AI introduces new failure modes: confident wrong answers, leakage of sensitive data and unpredictable cost. These are managed with engineering, not policy documents alone.
Four controls to put in place
Ground answers in approved sources with retrieval, filter inputs and outputs, evaluate continuously against a fixed test set, and log every prompt and response for audit.
Keep a human in the loop
Route low-confidence or high-impact cases to people, and capture their corrections as training signal. Keep the model layer portable so you can change providers as pricing and capability shift.
Working through this in your organisation?
Talk to the team behind our Artificial Intelligence practice about what a practical first step looks like for you.