Every agent output, checked
before your team relies on it
Two layers sit under every Wissda agent. One checks that each answer is true to its evidence. The other makes sure every action is approved, permitted and recorded.
Book a demoA confident wrong answer costs more than no answer
In regulated work, an AI that sounds right but isn't can end up in a board report, a regulatory filing or an audit file. And some failures are quieter: a system reports that an update saved when the field is actually empty.
We learned this the hard way while building our own GRC agents. So we built the checks first, and every agent runs inside them.
Verification checks the answer. Trust governs the action
Follow a single control rating from start to finish
This is what happens every time a Control Assessment Agent rates one control.
- 1Checks for a previous answerIf the evidence hasn't changed since the last reviewed rating, it keeps that rating instead of deciding again.
- 2Gathers the evidencePulls the control's details, test results, open issues and prior assessment.
- 3Drafts a ratingChooses from your own rating scale and explains why.
- 4Reviews itselfA second, independent pass looks for faults and can change the rating.
- 5Writes and confirmsSaves to your platform, reads it back, and flags any failure loudly.
- 6Keeps watchingScheduled integrity scans check that the rating is still there days later.
One decision, explained two ways
Reviewers and auditors need different depths of detail. Every decision comes with both, stored right next to the record.
The AI Evaluation Agent independently tests agent outputs for accuracy, consistency and reproducibility, using expert-curated datasets and defined benchmarks. It runs continuously, and its findings guide targeted improvements and fine-tuning.