GM redesigned its engineering workflows around AI agents — and tripled its merged pull requests

General Motors redesigned its autonomous vehicle engineering workflows around AI agents, resulting in a tripling of merged pull requests, faster releases, and fewer defects. GM connected agents to internal tools and petabytes of vehicle telemetry data via custom Model Context Protocol servers, automating bottlenecks in simulation testing, road testing, and post-deployment monitoring loops.

This Wire brief sits within Fusion42's coverage of AI Agents. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur reasons over.