AI-Assisted QA & Agentic Playwright
Use AI to expand exploration and accelerate test generation without outsourcing product judgement to an autonomous system.
When it is a good fit.
Web/product teams that want to evaluate agentic testing on a bounded staging scope with clear security controls and human approval gates.
Clear outputs, not vague testing activity.
Product & journey map
Agent-assisted discovery of accessible product areas and candidate user journeys.
Candidate risk & finding set
AI-generated hypotheses and observations separated from human-confirmed defects.
Human QA validation
Review gate before candidate findings become client-facing QA evidence.
Playwright candidates
Selected approved journeys can be turned into Playwright drafts and validated through execution.
What this does not pretend to be.
Not autonomous QA, not complete coverage, and not suitable for unrestricted destructive production testing. The pilot remains bounded and human-reviewed.
Human approval includes data handling.
AI-assisted QA is scoped explicitly. Client credentials, proprietary source code, confidential product information or personal data are not treated as generic prompt material.
If a third-party AI system would process client information, that handling should be agreed first and limited to what is appropriate for the engagement.
Need help deciding?
Send the product, release stage and main quality concern. I will recommend the smallest useful starting scope.
Request a QA proposal