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Enterprise · Release quality

No release ships without a QA decision. AI agents own the tests.

Your team ships faster with AI, so QA is now the bottleneck. AgentWorks agents run your critical journeys on every change, repair tests that broke for the wrong reasons, and publish a decision you can audit.

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  • 01
    Tests break for the wrong reasonsSelectors change, flaky timing, test data drift. The team starts ignoring red builds.
  • 02
    Critical journeys aren't coveredSignup, checkout, permissions: the flows that hurt most are tested least.
  • 03
    Nobody can say why a release shippedThere is no record of which suites ran against which build.

Example goal

Every release has a recorded QA decision

Primary metricReleases gated
100%

of releases, target 100%. Illustrative numbers.

How it works

Agents own the goal. You own the approvals.

  1. Map the journeys

    Agents set up the browser once, save verified locators, and turn your critical journeys into tests.

  2. Gate every change

    Each PR or build is bound to the suites it needs, with video, console and network evidence kept per attempt.

  3. Repair, don't ignore

    When a test fails, agents classify the cause. Test-only breakages get a reviewed repair; real bugs become findings.

  4. Decide and record

    A pass, fail or needs-review decision is published with links to every run behind it.

Playbooks

Ready to install. Tuned to your stack.

Each playbook sets up the goal, the tools, the evidence to keep and the questions agents should ask your team. They are open source and versioned, and we tune them to your environment during the pilot.

  • Basic Browser Setup
  • Critical Journey Validation
  • Release and PR Quality Gate
  • Browser Test Self-Healing
  • Flaky-Test Detection and Stabilization
  • Authentication and Session Validation
  • Scheduled Regression and Synthetic Monitoring
  • Browser Performance Validation

Built for your security review

Runs in your cloud. Every action on the record.

  • Self-hosted

    Deployed in your cloud account or data center. Evidence stays in your environment.

  • Approvals

    Anything that changes production or reaches people waits for approval by default.

  • Audit trail

    Every run, tool call, decision and cost is recorded per workflow.

  • Your models

    Your enterprise Claude, ChatGPT or Gemini agreements, or private endpoints.

  • Scoped access

    Tools, folders and secrets are granted per workflow, inside an OS-enforced sandbox.

  • SSO and roles

    Sign-in through your identity provider, with roles and per-workflow access.

FAQ

Questions, answered.

Does it replace our test framework?

No. Agents write and run Playwright tests in your repository and keep them as normal code your team can read and change.

Can it change tests without review?

Only test-only repairs are proposed, and they wait for review by default. Production code is never touched by the QA agents.

What if a failure is a real bug?

It becomes a finding with video, logs and steps to reproduce, and the release gate reports it as a fail.

More use cases

Other goals agents can own.

Incident responseFirst RCA before the war room fills up.Security testingAuthorized AppSec and permission testing, driven to closure.Cloud costFind cost anomalies and prove the savings.Growth analyticsAn AI growth analyst for funnels, retention and search.

Pick the goal. We'll prove it in four weeks.

A scoped pilot on one goal, in your environment, with the success metric agreed up front.

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