AI in Our QA
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AI Isn’t a Feature We Added. It’s How Our Engineers Work Every Day.
Here is exactly where AI works inside an Incisive engagement and where a senior engineer stays firmly in control of every decision.
Test Coverage From Day One
AI-POWERED TEST GENERATION
Coverage that starts the moment requirements are written.
Your engineer feeds requirements, user stories, and Jira tickets into AI-assisted generation that drafts the scaffolding – file structure, locators, basic flow – in minutes instead of hours. That’s where AI’s real value sits: the boilerplate, not the judgment. Assertions, pass/fail logic, edge cases and the page-object architecture come from a senior engineer who knows what “correct” means for your product.
Faster first draft. A human owns every line that enters CI.
Automation That Doesn’t Break
SELF-HEALING AUTOMATION
Your UI changes. AI finds the fix. Your engineer approves it
When a selector changes, an element moves, or the DOM gets refactored, traditional automation breaks and someone burns a sprint repairing it. Our AI reads the live page and finds the element your test was actually looking for – then verifies the repair against the expected outcome before it counts.
What makes teams trust it is the second half. Nothing is applied silently. Every repair arrives with what changed, what it was healed to, and how confident the model was – and a test that passed only because of a repair is reported as exactly that, never as a clean green. Your engineer approves each change before it enters the suite, and your build can be set to fail on any repair a human hasn’t signed off.
AI does the finding. A senior engineer signs the change.
Knowing Where Bugs Will Hit
DEFECT PREDICTION & RISK SCORING
We test your riskiest areas the hardest – based on your own pipeline, not a guess.
Every run feed a history: which tests oscillate between pass and fail, which areas break repeatedly, and whether a failure was the network, a contract change, or a genuine regression. AI reads that history and flags where risk is concentrating, so your engineer puts the deepest coverage where the evidence points. Tests that go unstable get quarantined with an expiry date — never permanently hidden.
Catch the costly bugs before production does
A Human Owns Every Decision
AI-AUGMENTED, NEVER AI-ALONE
AI accelerates the work. A senior engineer owns the outcome.
AI doesn’t decide what ships. Your engineer does. Every defect call, every release risk flag, every go/no-go recommendation comes from an experienced QA engineer who takes full accountability. AI surfaces patterns and expands coverage – judgment stays human.
Speed of AI. Accountability of a senior engineer.
Your Team Ships AI-Written Code. We Catch What It Slips In
TESTING AI-GENERATED CODE
It passed review. It passed the unit tests. It’s still not safe.
Copilot, Cursor, and Claude let your team ship features in a day instead of a week – and quietly ship security holes and broken business logic that look clean in code review. Your coverage metrics stay green while the real risk grows underneath them. Our engineers test for the failure patterns AI-generated code actually introduces, running in parallel with your pipeline so your team keeps shipping at the same speed – with confidence instead of guesswork.
Ship at AI speed. Without the AI surprises.
Coverage That Explores On Its Own. A Human Who Signs Off
SUPERVISED AUTONOMOUS TESTING
AI can map a thousand elements. Only a human can tell you which one’s matter.
Our discovery agents crawl your application and map every interactive element far faster than any manual session — filtering out the noise, ads, trackers and dead ends that would otherwise drown the result. But nothing enters your suite automatically. A senior engineer reviews the map and decides what earns a place in the regression pack. You get the reach of autonomous exploration with a human who stays accountable for the call.
Autonomous reach. Human accountability