Let’s clear the queue.

That’s where we start. We assess what you have, keep useful coverage, and identify where AI automation and recurring agents can add value. The approach depends on your stack and suite.

We agree on permissions and review boundaries with your team. Test execution can run on a schedule; code changes and maintenance suggestions follow your approval process.

Start with a focused assessment and pilot. Scope and pricing will be agreed after we understand your product, current suite, and testing priorities.

We establish your current QA baseline together: the work completed, the time it takes, and the quality standards it must meet. We aim for up to 5× your current QA performance on the workflows we automate, measured against that agreed baseline. The improvement depends on your starting point and the scope of automation.

We start with a conversation about your product, release process, current testing, and bottlenecks. We then identify the relevant requirements, documentation, tickets, code, and test results needed to map your workflow and prioritize automation.

We look at your entire QA workflow and prioritize repetitive work, slow handoffs, and checks that protect critical user journeys. We choose the work that can save meaningful time while maintaining the quality standards we agree with your team.

Checks tied to code changes and releases can run in CI/CD, including automated testing, documentation updates, and validated test repairs. Agents handle tasks that need context across your tools, such as failure investigation and coverage analysis. Scheduled tasks handle recurring checks and reports.

Test auto-healing identifies test failures caused by application changes and proposes repairs, such as updating a changed locator. We validate repairs against the intended behavior and follow your review rules. A failing test can reveal a real defect, so preserving the meaning of the test matters.

We begin with your existing stack and assess what can be reused or connected. Any proposed tool changes follow from the gaps we identify and are discussed with your team as part of the implementation plan.

We agree on which sources the automation needs, the permissions it requires, and the boundaries for each agent. Data handling, execution environments, and review requirements are defined with your team before connecting systems.

The timeline depends on your stack, access requirements, current coverage, and the workflows we select. After discovery, we agree on the pilot scope, milestones, and how results will be measured before expanding the automation.

Yes. Your team provides product knowledge, sets quality expectations, reviews ambiguous results, and makes high-risk decisions. We automate repetitive work so they can spend more time on exploratory testing, risk assessment, and improving coverage.