AI Test Automation
Guiding a test automation firm toward ML-assisted review and modern delivery checks.
The challenge
The client needed to integrate machine-learning assisted review into existing test automation without disrupting delivery quality.
What we built
Guidance and implementation patterns for ML-assisted review workflows, Dockerised services, and GitHub-based checks for AI-driven testing.
Outcome
A practical operating model for AI-augmented QA that fits into the firm's existing engineering rhythms.
Have a similar problem?
Share your challenge and we'll outline the path from ideation to measurable impact