Agentic QA
Agentic QA is quality assurance run by an AI agent that plans its own checks and drives a real browser to carry them out, instead of replaying a fixed script. The agent reads the page, decides what to test next, takes the action, and judges the result.
What is agentic QA?
In agentic QA, an LLM-driven agent owns the loop. You give it a URL and some instructions, and it works out what to check, opens the site in a real browser, clicks through flows, fills forms, and inspects what comes back. Traditional test automation runs steps a person wrote in advance, so it only covers paths someone already thought of and breaks the moment a selector or layout shifts. An agent reacts to the page in front of it, which lets it explore flows that were never scripted and notice problems a fixed assertion would miss, such as a broken checkout, placeholder copy left in production, or a form that silently fails.
How the loop runs.
Most agentic QA systems share three moving parts. A planner turns a goal into a checklist of things to verify. An explorer carries that checklist out in a live browser session, deciding each next action from what the current page shows. An analyst reviews the evidence, the screenshots, network responses, and console output, and decides whether each check passed or surfaced a real problem.
Plans its own checks
The agent reads the URL and your instructions and builds the list of flows worth testing, rather than waiting for a human to script each one.
Runs in a real browser
Actions happen in a real Chromium session, so the agent sees the page exactly as a user would, including JavaScript, redirects, and dynamic content.
Judges the result
Instead of a pass or fail on one assertion, the agent weighs the evidence and explains what went wrong, with a screenshot to back it up.
How AuditWard relates.
AuditWard runs agentic QA as one half of a single audit. An LLM Planner builds a checklist from your URL and instructions, an Explorer agent works through it in a real Chromium browser, and an Analyst turns the evidence into triaged findings with annotated screenshots. The same run also security-scans the target with real pentest tooling, so quality bugs and security gaps land in one report. For the full picture, see the AI QA testing pillar, and the rest of the glossary for the related terms below.
Common questions.
How is agentic QA different from scripted test automation?
Scripted automation runs steps a person wrote ahead of time, so it covers only known paths and breaks when the UI changes. An agent decides each next action from the live page, which lets it explore flows no one scripted and adapt when the layout shifts.
Does agentic QA replace a human QA engineer?
No. It handles broad, repeatable coverage from a URL and catches obvious breakage fast, but it does not replace human judgment on product intent, edge cases, or exploratory testing that needs domain knowledge.
Does AuditWard do agentic QA and security in the same run?
Yes. One AuditWard audit runs the agentic QA pass in a real Chromium browser and a security scan with real pentest tooling against the same target, then returns both sets of findings in a single report.