GenAI-Powered Quality Engineering

Case Study

Cut regression testing effort by 62% within eight weeks

GenAI-Powered Quality Engineering
Cut regression testing effort by 62% within eight weeks
Client
GRDF
Industry
Energy / Gas Distribution
Timeline
8 Weeks
Project Type
GenAI-Powered Quality Engineering
Engagement
Dedicated AI Squad

Description

GRDF operates the software behind France's natural gas distribution network, where every release must meet strict reliability requirements. Regression testing had become the bottleneck: suites grew faster than teams could maintain them, and manual defect triage consumed engineering time that should have gone to delivery.

We managed the entire engagement, from the AI opportunity audit and architecture blueprint to development, evaluation, and production rollout. Our goal was a platform GRDF's teams could own, evolve, and trust across every release.

Case overview

  • Assessment & DiscoveryWe audited delivery flows, test assets, and data sources to target the highest-impact automation opportunities.
  • AI Test GenerationLLMs grounded in GRDF's technical corpus draft, maintain, and refactor regression suites under engineer review.
  • Evals & GovernanceWe equipped teams with evaluation pipelines and clear standards so AI output quality stays measurable everywhere.

Generative AI in quality engineering only works when engineers trust its output. Every AI-generated test goes through evaluation pipelines that score correctness, coverage, and maintainability before entering the suite, and every decision stays traceable for audit.

Our engineering-led process ensures every automation decision is backed by measurement and shaped by GRDF's operational constraints. The platform runs on their infrastructure, under their governance, maintained by their teams.

What’s Include In The Services?

We believe quality is more than testing, it's the confidence to release critical software fast. Our approach blends generative AI with quality engineering discipline to maximize long-term value. From energy to banking, we help enterprises make reliability an accelerator instead of a brake.

Our engineering philosophy centers on:
  • Engineering RigorBuilding AI systems on evidence and evals, not assumptions.
  • Guardrails FirstDesigning safety and traceability into every AI-generated artifact.
  • Skill TransferLeaving teams autonomous on the platforms we build together.

Outcomes & Impact

-62%
Regression Testing Effort
+95%
Critical Path Test Coverage
+37%
Faster Release Cycles
-51%
Defect Triage Time