AI Functional Testing
Application discovery, requirements, test scenarios, execution, and evidence
Your application already has functionality — often more than anyone has fully documented. We use AI to discover it, turn it into requirements, and validate it with evidence.
How it works
AI QA workflow
Application URL + Objective
You provide the application and the business objective for testing.
AI Application Explorer
AI walks through pages, forms, and workflows like a skilled tester.
Functional Requirements
Business rules, validations, and workflows are extracted and documented.
AI Test Scenario Generator
Risk-based scenarios are generated from what the application actually does.
Playwright / API / SQL Execution
Scenarios execute across the browser, API, and database layers.
Evidence Collection
Screenshots, traces, responses, and query results are captured.
Defect Analysis
Findings are compared against expected behavior and classified.
AI QA Report
A clear, evidence-backed report of coverage and defects is delivered.
Why it's different
Not generic AI testing
Understands behavior, not just markup
The AI explorer follows workflows the way a user would — filling forms, submitting, and observing outcomes — rather than only crawling links.
Business rules become documented requirements
Validation rules, calculations, and permissions discovered during exploration are written down, so your team gets a living functional baseline, not just test results.
Risk-based, not exhaustive-for-its-own-sake
Scenarios are prioritized by business risk and likelihood of defect, so effort goes where it matters most.
Evidence on every finding
Every reported defect ships with the screenshot, trace, API response, or database result that supports it.
See what AI-driven discovery finds in your application
Book a free QA assessment and get a first look at your functional coverage.