Control how much autonomy your AI testing agents have | SmartBear BearQ

Can you trust AI agents to run your tests without losing control of your release process? In this video, you’ll learn how, with SmartBear BearQ™’s agentic QA system, the answer is yes, because you decide exactly how much autonomy the agents get. This enables you to adapt QA to fast-moving AI codebases, all with human oversight.

Invoke BearQ agents from your CI/CD pipeline, call them directly through the external API, or reach them through your IDE using the SmartBear MCP Server, so they slot into the workflow your team already runs. Along the way, you set the guardrails. Provide general context and business rules the agents should always keep in mind, or add context scoped to a single test for validation details that only matter there.

A complete audit log captures every action, giving you the full record you need to decide whether a draft test is ready to move into regression. You can hold tests in an awaiting-review state until a human signs off, and every run's steps, reasoning, and actions are there for you to check.

As trust builds, you turn the dial. Head into settings and disable manual approval whenever you're ready to let BearQ promote tests to regression on its own.

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