How it works
Five steps. Results in two to four weeks.
A repeatable method that finds what your AI gets wrong, shows you why, and leaves you with the tests to keep checking it yourself.
Step 1: Agree outcomes
We agree what “good” looks like for your use of AI and your risk appetite.
We meet the people who own the AI to agree its purpose, who it serves, what it can access and how much risk you're willing to carry. This sets the standard every finding is judged against.
Step 2: Benchmark
We compare your AI against known failure patterns from live AI systems.
We compare how your AI is set up and used against failure patterns we've seen in live AI systems, so testing focuses on where real systems actually break.
Step 3: Test
We test across all four areas and rank every finding by severity.
We test security, reliability, and fairness and inclusion, and review governance. Every finding is logged, reproducible and ranked by severity.
Step 4: Recommend
Clear, prioritised guidance your team or chosen provider can act on.
We present the scorecard and findings, with practical guidance your own team or chosen provider can act on. We don't sell the fixes.
Step 5: Re-test and prove
Once changes are made, we re-test to confirm they work, and hand over the test harness so you can verify results yourself.
Once changes are made, we re-run the tests to confirm they worked. Then we hand over the test harness so you can re-run every test after any future change, without us.
What you receive
- A scorecard for each of the four areas
- Every finding ranked by severity, with a clear recommendation
- An evidence pack for your board, regulator and clients
- A prioritised roadmap
- The test harness itself, so you can re-run every test after any change, without us
What we need from you
A few hours from the people who own the AI, mainly at the start and when we present findings, plus access to the AI in scope, agreed before we start and under your controls.
Independent by design
We never assess systems we built, and we never sell fixes for what we find.