Engineering Agent Hub: How PhonePe built a production-grade internal AI platform

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Over the past couple of years, PhonePe’s journey toward operationalizing AI began with a search for external platforms capable of automating complex, cognitive business processes. However, as it tested various AI tools for its engineering and operational requirements, it consistently encountered friction, eventually leading it to architect its own internal application layer: Agent Hub.

Navigating the Constraints of External Tools
PhonePe’s initial objective was to use AI to achieve efficiency on internal processes. However, off-the-shelf products repeatedly imposed hard constraints. The team frequently hit request limits in standard AI studios and strict document caps while indexing its internal knowledge bases. For its technical teams who need specialized integrations (for example: 1TB+ GitLab repositories), the expenditure and effort involved proved insurmountable due to multiple factors, both technical and non-technical.

Technical issues it faced included context window overflow, slow processing/ storage limitations and so on.

Given the domain PhonePe works in, a...

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