AI & Smart Testing
Validate AI-powered features for reliability, bias risks, and prompt injection vulnerabilities. We test how your AI behaves inside real user workflows — not just in isolation.
How we do it
We treat AI features as first-class product paths, validating model responses in real user scenarios and ensuring risks are identified before they reach production.
Tools we use
- •OpenAI / GPT
- •Playwright
- •JMeter
- •TensorBoard
Techniques we apply
- •Prompt fuzzing
- •Bias surface analysis
- •Behavior drift tracking
Deliverables
- •AI risk assessment report
- •Prompt injection findings
- •Model behavior change log