Assurance Lab
Test AI outputs before they go live.
Run AI replies, actions and workflow updates through realistic scenarios before they are used in sensitive work. Create pilot-ready evidence before live use.
test draft replies
test proposed actions
spot risky outputs
find missing evidence
identify where human review is needed
create a report before deployment
A practical way to test before live use
Choose one workflow
Run realistic scenarios
Capture AI replies and actions
Find risk and evidence gaps
Compare with the Corentis Shield path
Create a pilot-ready report
Signals teams can discuss
Measured
Risks surfaced
Measured
Review points found
Measured
Evidence gaps identified
Measured
Outputs blocked before use
Measured
Pilot-ready report
From pilot tests to benchmark asset
Each tested workflow can add to a wider regulated AI output benchmark: scenarios, risk labels, expected decisions, evidence requirements and model-output results.
Evidence reviewTesting turns AI risk into evidence teams can discuss.
scenario library
output evaluation
expected decisions
risk labels
evidence requirements
benchmark reports
Useful for funding, pilots and internal review
Assurance Lab turns AI risk into scenario testing, output evaluation and evidence people can review before live use.