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The company, a scale-up in DeepTechheadquartered in United States, needed to solve this challenge: “computervision platform for industrial inspection”. There was no systematic way tomeasure each squad developer's performance or the technical health of theproject day to day, and risks were only detected once they had already impacteddelivery. All of this was happening under time pressure, with a market deadlinethat left no room for error.
Squad Master AI became operationalwithin 24h and, on a recurring monthly basis, gave leadership a daily,objective read on code quality, project progress, and each squad member'sperformance.
No new profiles were added to the team:the focus was on providing support and visibility, on a stack of Python(Django), React, PostgreSQL, MongoDB, GitHub, AWS. The company already had itsown technical team; Squad Master AI connected to its repositories andmanagement tools without altering its way of working, adding a layer ofobjective visibility for leadership. From the first weeks, leadership haddashboards for code quality, progress, and risk ready for review, continuouslyupdated.
Products
launched in
weeks, no months
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