Codurance

Craft AIDeliveryAI Test Automation

Delivery

AI Test Automation

A complete test safety net, from unit to E2E, without stopping the team.

Talk about AI Test Automation See the 8 lines
E2EIntegrationComponentUnit
  • E2E through the UIAI operates the interface like a user
  • Full pyramidFrom unit up, running in CI
  • Living documentationRequirements and docs that tell the truth
  • Regression from days to hoursWithout stopping your team
We measure
Regression from days to hours
Coverage per layer
Deploy frequency
CI feedback time
Flaky test rate
% of requirements with a traceable test
Sound familiar?
  • Days of manual regression on every release.
  • Fear of shipping: deploy is an event.
  • Documentation that doesn’t match the system.
  • We tried automating, but the suite breaks on every change and nobody trusts it.
“It takes us days to work up the courage to release.”
What we do
  • E2E through the UI (QA): AI operates the interface like a user, with no dependency on the code.
  • Pyramid (Engineering): AI analyzes requirements and code and builds layer by layer, from unit up, reviewed by those who know the business rules.
  • Living documentation: when the system diverges from what is documented, we update requirements and docs, with every test traceable to a requirement.
  • A suite that stays reliable: flaky tests handled and CI execution prioritized by what changed.
How it works
  1. Scope assessment: 1 week. Deliverable: risk map and priority of what to test first.
  2. Suite module by module, running in CI.
  3. Handover or maintenance: trained team, with optional recurring support.

Start with the 1-week scope assessment.

Scope and timeline agreed before you sign. You see the result of each step before deciding on the next.

Craft AI

The other seven ways in

AI Diagnosis & StrategyPlatform, data and team ready to run agents safely.AI First EngineeringCodurance's AI-first process inside your engineering.AI Technical Due DiligenceTells you whether the AI is real, defensible and economically sound.AI Governance ConsultA governance layer between application and model, from inventory to audit.AI ModernizationLegacy modernized in months, not years, with no big bang.AI App DevelopmentFrom idea to system in production, on an AI-first pipeline.AI Feature DeliveryAn AI-first squad inside your product, multiplying throughput.