The Problem
Way2 runs Brazil's smart-grid Meter Data Management — a regulated, multi-service platform on Oracle with CCEE integrations and a 30-person product team. Local environments took days to spin up. Seeding was manual. Cross-service tests slowed everything else down.
Roadmap items routinely sat at 3–5 months. Support tickets piled into manual triage. Way2 wanted AI-assisted everything — engineering, QA, product, support. No one had embedded AI in a legacy-plus-modern platform deep enough to stick.
The Approach
We embedded across the product team and ran weekly 1:1 mentoring — engineers, PMs, QA, support. Engineers and product managers learned to plan with AI, write specs with AI, ship with AI. We standardized how stories get created — every demand grounded in context, knowledge, and references before the first commit.
Per-PR on-demand environments (Helm + Terraform on GKE) spin up the full platform when a PR opens — ready to test, not days of local setup. AI-pre-qualified support: every Freshdesk ticket arrives pre-classified with answer suggestions and references pulled from the live knowledge base. way2-ai-plugin centralizes team knowledge so every engineer reaches the same AI surface.
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