One of Latin America's largest education technology companies had grown through rapid M&A, leaving engineering practices fragmented across multiple codebases.
Some developers used coding tools like Cursor and Claude, but only for basic cases, and there was no standardized way to deploy AI agents across the company's repositories. Leadership, connected to Lazer through the company's private equity partner, wanted to lift engineering throughput and quality without a disruptive reorganization.
Lazer embedded a senior forward-deployed engineer who built a package that lets AI coding agents deploy in a standardized way across the company's post-acquisition codebases. A cloud-hosted ticket-to-PR agent went live, paired with an L&D program so the broader engineering team could sustain the velocity gains after rolloff.
Standardized agent deployment and workflow changes cut the time pull requests spend in review across participating teams.
Fewer shipped changes get rolled back, indicating the AI-assisted workflow raised quality alongside speed.
An autonomous agent now converts tickets into pull requests in the cloud, with one-click delegation from the project management system rolling out next.
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