Banco Inter automates core banking update analysis with Azure AI
Banco Inter, a Brazilian fintech serving over 30 million account holders, used Microsoft Azure AI Services and Azure AI Infrastructure to automate the analysis of update packages for around 40 core banking modules, reducing update analysis and installation time by 70% (small releases cut from 25 to 5 hours, large releases from 87.5 to 25 hours) and increasing the volume of releases its 30-person IT analyst team could process per month by up to 395%.
Overview
Banco Inter, a Brazilian fintech serving over 30 million account holders, used Microsoft Azure AI Services and Azure AI Infrastructure to automate the analysis of update packages for around 40 core banking modules, reducing update analysis and installation time by 70% (small releases cut from 25 to 5 hours, large releases from 87.5 to 25 hours) and increasing the volume of releases its 30-person IT analyst team could process per month by up to 395%.
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Inspect the highlighted sourceThe challenge
Inter's core banking systems relied on roughly 40 third-party modules receiving near-daily update packages, and a dedicated team manually analyzed each update's performance impact through repetitive steps, a labor-intensive, unscalable process that hurt analyst morale.
The solution
Inter built an AI proof of concept on Microsoft Azure AI Infrastructure, Azure AI Services and SQL Server that automatically reads and interprets update documents up to 80 pages long, summarizes impacted systems, runs scripts and compares before/after performance test results against the execution plan, and flags potentially critical issues with suggested fixes.
Reported business value
Update analysis and installation time fell 70% (small releases cut from 25 to 5 hours, medium from 50 to 15 hours, large from 87.5 to 25 hours), the team's 30 IT analysts could process far more releases per month (small +266%, medium +200%, large +395%), productivity rose 280%, new hires without technical expertise could perform analysis, and team satisfaction improved.
Sources
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