Client work
LiveMOVE
An installable web app for MOVE's PI Training program and its ProACT follow-up coaching.
01
The challenge
Before an AI agent goes live, risk, compliance and CX teams need evidence of how it behaves under pressure, and that evidence has to be repeatable and auditable.
AODIT tests customer-support agents for unauthorised refunds, policy drift, weak identity checks, angry customers and escalation pressure. In regulated financial services, it tests payment instructions, fraud escalation and AML ambiguity. It also covers banking, insurance and claims, and healthcare triage.
02
What we built
01
Eight-turn stress tests
Each test is an adversarial conversation in eight turns: baseline, extension, contradiction, challenge, escalation, synthesis, self-assessment and recovery.
02
Clear scores
Agents are scored on Reliability, Integrity, Judgment, Resistance and Resilience, and rated from AAA to D.
03
A verdict to act on
Every test ends in a deployment verdict. A calibration gap shows how far the agent's view of itself is from the evaluator's.
04
Live runs and reports
Follow each run as it happens, then share the results as a PDF report.
05
On-premise, built for regulators
An installer runs AODIT on your own infrastructure. For financial services, testing is aligned with FINMA Guidance 08/2024, the EU AI Act, NIST and ISO 42001.
06
Any major model
Tests agents built on Claude, GPT, Gemini, Grok, DeepSeek, Kimi, Llama and Qwen, in English, German, French and Arabic.
Built with: React · Node.js · AI inference · Background jobs · Cloud storage · Payments · On-premise deployment
03
Where it stands
Mar 2026
In development.
About
About AODIT
AODIT evaluates how AI agents behave under pressure, contradiction and adversarial input, with a structured multi-turn protocol that simulates real-world failure scenarios.
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