Let AI write the tests. Let engineers judge them.
AI test generation, self-healing automation and risk-based prioritization, plus testing for AI systems themselves.
One call with a senior engineer. A straight answer on what it would take.
Where you are. Where you’ll be.
You need this if
- Test maintenance consumes your QA team
- Coverage lags far behind development speed
- You ship AI features without systematic evaluation
What changes for your business
- Higher test coverage at lower effort
- Less time maintaining brittle UI tests
- AI features released with evidence of quality
What we hand over
- AI-assisted test generation from requirements and code
- Self-healing UI test automation
- Risk-based test selection per change
- Evaluation and safety testing for LLM features
What it is
AI-powered quality assurance uses AI to generate tests, repair broken test scripts automatically and focus testing on the riskiest changes. It also covers the opposite problem: testing AI features themselves for accuracy, grounding, bias and safety, which traditional pass/fail tests can't do on their own.
AI can generate test cases from requirements and code, heal broken UI locators automatically and predict which areas a change is most likely to break. We apply it to speed up coverage, and we test your AI features properly too: evaluation sets, hallucination checks, bias and safety testing.
- Why now
- $2.41T annual cost of poor software quality in the US. CISQ, 2022 (opens in a new tab)
- Last reviewed
How it runs
- 01
Diagnose
Typically 2–4 weeksWe map the problem, your data and your systems, and agree the one number that defines success.
- 02
Prove
Typically 4–8 weeksA working pilot on your real data, measured against that number. Not a slide demo.
- 03
Ship
Scoped to the outcomeProduction build with security, monitoring, cost controls and documentation included, not upsold.
- 04
Run
Ongoing, optionalWe operate what we built against clear service levels, or train your team to. Your call. No lock-in.
Questions you’ll ask
- Can AI write our tests?
- It can draft many of them from requirements, user stories and code, and engineers review and keep the useful ones. It's most valuable for expanding coverage where testing has fallen behind development.
- What is self-healing test automation?
- UI tests that recover automatically when an element's locator changes, such as a renamed button or moved field, instead of failing. It cuts maintenance, which is where most UI automation effort goes.
- How do you test AI features?
- With evaluation sets of real and adversarial inputs, scoring for accuracy, grounding in sources, harmful or biased output and refusal behavior, run automatically before every release.
Sound familiar? Let’s fix it.
One call with a senior engineer. You’ll leave with a straight answer on what it would take.
Let's Build Together