AI Agent Audit and Evaluation
We measure the accuracy, security, compliance, and cost of AI agents, whether built in-house or by a vendor, and deliver a prioritized plan to fix them.
Know, with Evidence, Whether Your AI Agent Is Ready for Production
The challenge
Companies are launching AI agents, their own or a vendor's, without knowing how well they work. Does it make things up? Can it be manipulated into revealing data? Does it comply with data protection rules?
Our answer
We measure your agents' accuracy, security, compliance, and cost with automated tests and controlled attacks, and give you objective evidence to decide whether they're ready for production.
- Accuracy
- Security
- Compliance
How we start
- 01Assessment of the agent, its users, and its risks
- 02Automated tests and controlled attacks
- 03Prioritized report and remediation plan
What it looks like in your industry
Situation
A bank is about to launch a customer service assistant built by a vendor.
What we do
- We test prompt injection, jailbreaks, and customer data leaks.
- We measure how often it answers without grounding.
Result
Prioritized findings and evidence to require fixes from the vendor.
Situation
A clinic uses an agent that answers patient questions.
What we do
- We review how it handles sensitive data against the applicable regulations.
- We verify it doesn't give unsupported medical information.
Result
A remediation plan before expanding its use.
Situation
An online store sees its assistant's cost grow every month.
What we do
- We analyze latency and token usage by query type.
- We identify where to save without losing quality.
Result
Continuous tests that measure every change before it ships.
Illustrative example
Our process
Accuracy Evaluation
We measure whether the agent answers correctly and with grounded evidence, and how often it makes things up.
Security Testing
Controlled prompt injection, jailbreak, and data leakage attacks to find vulnerabilities before someone else does.
Regulatory Compliance
A review of how personal and sensitive data is handled against GDPR, HIPAA, the EU AI Act, and local data protection laws.
Cost and Performance
Latency and token usage analysis with concrete opportunities to cut costs without sacrificing quality.
Report and Remediation Plan
Findings prioritized by risk, with reproducible evidence and clear actions for your team or vendor.
Continuous Evaluation
We leave automated tests running so every change to the agent is measured before it reaches your users.
What we've achieved
At *Validate Health* we built an evaluation architecture for healthcare models, with a base model, an evaluator, tests, and metrics, and at *BTH* we took conversational agents to production for more than 30,000 students, including Georgia, which evaluates pitches against fixed criteria. We know what can go wrong with an agent because we build them, and that is the experience we bring to auditing yours.
