AI in Our QA

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.

Ai Test Generation

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 – turning what used to take days into hours. Edge cases that manual test design tends to miss get surfaced systematically. You get meaningful coverage in your first sprint, not your sixth.

Takeaway line: Faster coverage. Fewer gaps. From week one.

Self Healing Automation

Automation That Doesn’t Break

SELF-HEALING AUTOMATION

Your UI changes. Your tests don’t break.

When the UI shifts – a selector changes, an element moves, the DOM gets refactored – traditional automation breaks and someone burns a sprint fixing it. Our automation uses AI-based locators that identify elements by intent and context, not by fragile selectors that snap on the next build. Tests adapt to UI changes on their own, so your engineer spends time expanding coverage instead of repairing broken scripts.

Takeaway line: Less maintenance. More real testing.

Defect Prediction

Knowing Where Bugs Will Hit

DEFECT PREDICTION & RISK SCORING

We test your riskiest code the hardest – before a single bug ships.

Before testing begins, AI analyzes your codebase and change history to flag the areas most likely to fail. Your engineer prioritizes those first, so the highest-risk code gets the deepest coverage. Every release comes with a clear risk read – not a guess.

Takeaway line: Catch the costly bugs before production does.

Ai Augmented No Ai Alone

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.

Takeaway line: 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.

Takeaway line: Ship at AI speed. Without the AI surprises.

Coverage That Explores On Its Own. A Human Who Signs Off

SUPERVISED AUTONOMOUS TESTING

AI can run a thousand tests. Only a human can tell you which ones matter.

Autonomous agents crawl your app and generate test flows faster than any manual session – but left unsupervised they bury your team in noise and false confidence, until no one trusts the results enough to press “go.” We run AI exploration at full speed, then a senior engineer reviews every finding and decides what earns a place in your regression suite. You get the reach of autonomous testing with a human who stays accountable for the call.

Takeaway line: Autonomous reach. Human accountability.