Automating financial accuracy with autonomous invoice matching agents
The Challenge
A fintech firm managing invoice reconciliation for 200+ SMEs was overwhelmed with unstructured data. Human agents were manually matching invoices to POs, flagging anomalies, and chasing clients for clarifications—costing time, accuracy, and client satisfaction.
Our Approach
We designed an Autonomous Reconciliation Agent that handled:
We also gave the agent short-term memory to retain client-specific billing quirks and rules.
Stats
9→1 day backlog reduction
The Outcome
A true behind-the-scenes operator—reliable, precise, and tireless.
Case Study
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