agent42labs.com

Autonomous AI Agents for Backoffice Automation

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:

  • Ingestion of PDFs, emails, and spreadsheets from clients
  • Cross-referencing invoices with internal PO systems using fuzzy logic
  • Escalating unclear cases with suggested resolutions
  • Generating audit trails and pushing updates to Tally and Zoho Books

We also gave the agent short-term memory to retain client-specific billing quirks and rules.

Stats

85% reconciliation automated
97.6% matching accuracy

9→1 day backlog reduction

The Outcome

A true behind-the-scenes operator—reliable, precise, and tireless.

Our Expertise

Case Study

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