Qapitol QA

Solution

Agentic QE Transformation

Your QA team can't keep up. Agents can.

Manual testing scales with headcount. AI-generated code scales with compute. The gap widens every sprint. Agentic QE is how engineering teams escape the manual testing trap permanently — not by adding headcount, but by deploying autonomous agents that test continuously, adapt to change, and report on outcomes.

For:VP EngineeringHead of QACTOEngineering Director

01

10x faster

Regression coverage speed

02

70% reduction

Manual test authoring

03

3 weeks

Time to first autonomous suite

04

<5 min post-commit

Median defect detection latency

05

0 extra

Headcount required for scale

The challenge

What makes this hard

  • AI writes code at the speed of a prompt. Your QA team writes tests at the speed of a person. These two trajectories can't converge by hiring. They can only converge by deploying agents.
  • Linear scaling requiring new test authors per feature
  • 2-week sprint backlogs preventing test pace
  • Compounding regression debt from skipped tests
  • 60% of QA time consumed on authoring vs. strategy
  • Brittle test suites breaking on UI/API changes

What we deliver

The Qapitol approach

01

Autonomous Test Generation

AI agents that read your codebase, user stories, and API specs and write test cases without human authoring. Feed the agent a pull request diff or a new Jira story and it returns a full test suite.

02

Self-Healing Test Suites

Agents that detect when the UI or API changes and repair broken tests automatically. When a component re-renders with a new selector, when an API response schema evolves, when a form validation rule shifts — the agent identifies the break, traces the root cause, and applies the fix.

03

Continuous Risk-Based Execution

Agents that prioritise which tests to run based on code change impact, not just alphabetical order. Every commit is analysed for blast radius — which features, flows, and integrations could be affected.

04

Natural Language Test Orchestration

Write test intent in plain English — agents handle the implementation. 'Test that a user with an expired subscription cannot access premium features' becomes a working, parametrised, multi-browser test case.

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Next step

Bring Agentic QE Transformation to your stack

Scope it in one call — outcomes defined upfront, free assessment included.