AI Governance

AI Transparency

You should never have to guess whether AI was involved.

When AI is being used

Features that involve AI are labelled as such in the product โ€” an AI-assisted suggestion, an AI-drafted deployment, an AI-generated summary. It's not hidden behind generic UI copy.

Confidence levels where appropriate

Where a recommendation carries meaningful uncertainty (for example, an inferred root cause for an incident), we surface that uncertainty rather than presenting a guess as fact.

Generated code identification

AI-generated code proposed through the platform is presented as a reviewable diff, clearly attributed as AI-generated, before it's committed.

Generated documentation identification

Same principle for documentation โ€” AI-drafted docs are marked as drafts pending human review, not published as if a person wrote and verified them.

Generated infrastructure identification

Infrastructure generated through our Designer or Blueprint tooling is traceable back to the AI-assisted design step that produced it, alongside the human who reviewed and approved the apply.

Clear explanation of AI-generated recommendations

Where practical, AI output includes a short explanation of why โ€” which inputs it used, what it's optimising for โ€” rather than a bare recommendation with no reasoning attached.

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