Three questions for any AI risk tool
When you look at a new AI risk product, ask: what decisions does this actually support, what data does it truly depend on, and how will a human challenge its answers?
This is a lightweight blog stream. Posts are intentionally short and practical – things you can test inside a real business rather than abstract theory.
When you look at a new AI risk product, ask: what decisions does this actually support, what data does it truly depend on, and how will a human challenge its answers?
Boards rarely act on traffic‑light heatmaps alone. Use AI to convert underlying risk data into a small set of clear narratives with explicit assumptions and triggers.
Most “risk signals” only make sense when grounded in your context – your assets, counterparties, and constraints. AI is a lens, not a shortcut for that work.