5 months from no AI estate to a governed AI platform, with its first multi-agent system in production.
The customer had ideas across their global estate. Lots of good intent and vibe-coded solutions, but nowhere structured to promote them. Outside of Copilot there was no AI estate. Every idea was a slide or a vibe-coded app. None made it to production.
Starting point: Copilot, nothing elseIn the customer's own AWS account we stood up lab, development, test and production, with guardrails and governance by risk tier. On it sits the lifecycle designed for AI product development: an idea becomes a defined use case, then a validated prototype on real data within five days. A go/no-go, then agentic development takes it to production within sixty days.
Idea → prototype in 5 days · prototype → production in 60A multi-agent system for the commercial team retired the legacy software it replaced and returned around 330 person-days a year to a team of fifteen. It ran the lifecycle end to end, in region, on real data. The next use cases are already on the board, and the customer runs the lifecycle itself.
Legacy software retired · ~330 person-days a year · live 7 OctoberAn idea becomes a defined use case, a validated prototype and a go/no-go, with the customer's governance signing at each gate.
Our IP: an AI delivery team doing the volume, independent AI gates on every step, evaluations gating every release.
People who have taken AI into production before, holding the decisions, the architecture and the customer relationship.
Technology is the science. Partnership is the art. Let’s write the next one together.
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