Know where your AI will fail before production does.
Two products, one standard. An expert-led audit to evaluate an AI system, and PAYESH to keep watching it once it's live.
Evaluate a system. Then monitor it.
Evaluate an AI system
Our team reviews a system you've built across four risk surfaces and tells you what is broken, how bad it is, and what to fix first.
Best for: before a launch, a customer security review, or a board or auditor question.
Monitor models in production
PAYESH checks your live models against their baseline, flags when behavior shifts, and keeps a timestamped evidence record.
Best for: scoring and classification models already in production, such as fraud, credit and risk models.
Find the risks. Fix them. Keep watching.
Find the risks
The AI Risk Audit evaluates your system and ranks what is wrong, with evidence and recommended fixes.
Fix the risks
Your team, or ours, works through the findings. Remediation is scoped and quoted separately from the audit.
Monitor continuously
PAYESH keeps checking the system in production, so new risks are caught as they appear instead of at the next audit.
The audit is the natural entry point, and PAYESH is what keeps the results in place afterwards. You can also start with PAYESH on its own.
Exactly what you receive for $8,000–$15,000.
Five deliverables, written for the person who has to act on them.
Executive risk summary
A one-page view of overall risk and the decisions that need an owner, readable without technical background.
Ranked findings
Every finding scored by severity × likelihood and ordered, so you know what to fix first.
Evidence
What we looked at and what we observed behind each finding, so nothing rests on opinion.
Recommended fixes
A concrete, prioritised fix for every finding. Remediation work itself is scoped and quoted separately.
Final walkthrough
A 60–90 minute call with your team to go through the findings and answer questions.
Two-week engagement, scoped on a short intake call before any work begins.
Support assistant can read records outside the ticket in scope
The assistant's data access is broader than its task requires.
No rollback path if a model change degrades answers
A bad release could stay live until a customer reports it.
Where you land in the range depends on complexity, not company size: one contained AI feature sits toward the lower end; several integrated pipelines sharing data or a retrieval layer sit toward the upper end.
Monitor production models. Pay for what you run.
Every plan has a monthly check limit, so there are no surprise bills. Upgrade or downgrade any time.
Founding partner access. Subscriptions begin once our company registration is complete. Until then, access is by request and early partners are onboarded personally. Talk to us for details.
One model in production
- 1 model
- Alert level on every check
- Evidence record for each check
- Email support
Small teams shipping AI
- Up to 3 models
- Scheduled checks
- Change history between checks
- Priority email support
Multiple AI features
- Up to 10 models
- Team seats
- Alerts when a score crosses a threshold
- Monthly 30-minute review call
Multiple systems & regulated work
- Multiple AI systems and teams
- Custom security requirements
- Custom integrations and reporting
- Support documenting evidence for compliance
- Full Audit can be bundled in
Not sure what a check is? See what one check covers. Need a few more in a month? Add 10 checks for $10 without changing plans. At your limit, checks pause by default, so you're never charged more than your plan.
One check reviews one model against its baseline.
You send the scores your model already produces. We never need to host or retrain your model.
Recent model output
A batch of what your model produced in production.
Whether it has shifted
How current behavior compares with your baseline, and how serious any change is.
A clear result and record
An alert level, a plain-language summary of what changed, and a timestamped evidence record.
Helps teams organize and document evidence relevant to EU AI Act and DORA requirements. It is one evidence layer within broader compliance work, not a complete solution, and using PAYESH or the AI Risk Audit does not make an organization compliant. Neither is legal advice. Whether a system meets a regulation is a determination for you and your legal or compliance advisers.
Not sure which one you need?
A 20-minute call is enough to tell whether an audit, PAYESH, or both make sense for what you've built.