When Bonsai Labs came in, AI adoption across Edmunds GovTech's product and engineering organization was low.
AI licenses acquired through the company's enterprise Microsoft agreement had never been operationalized: no program, no shared tooling, and no proof point the teams trusted. For an organization carrying live delivery commitments to thousands of public-sector customers, that caution was warranted. At the same time, Edmunds GovTech needed to accelerate a generational modernization, its next-generation Ethos web platform, without compromising the stability its customers depend on.
Bonsai Labs embedded with Edmunds GovTech's product and engineering teams and built a durable AI coding harness around Claude Code: documented, extensible, and replicable across the company's codebases. Alongside the tooling, they ran hands-on enablement from product management through engineering and QA, so teams could extend the harness and keep building on their own.
Development time reclaimed across customer-facing products using the Claude Code harness during a six-week engagement.
A legacy codebase upgrade estimated at a year for a full team was completed by a single engineer in weeks; a three-month UI build shipped in three days.
In one hackathon session an engineer cleared four bugs in an hour, about a day's work under the old process; AI also surfaced four performance fixes shipped within 24 hours.
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