Fintech & Payments

Financial analysis & operational intelligence

Agents that read financial data and documents, interpret them and support decisions.

The problem

Finance teams stitch data together by hand across invoices, statements and investment instructions. Reconciliation exceptions surface late; by the time the analysis is ready, the decision window has closed.

What the agents do
  1. 01The financial assistant answers questions straight from statements, ledgers and reports; every figure links to its source.
  2. 02The invoice-processing agent extracts the document, matches it to order and receipt, and flags exceptions.
  3. 03Investment instructions are analysed: amount, instrument, limits and suitability rules are checked.
  4. 04Above-threshold transactions and anomalous patterns reach the finance manager with a reasoned summary.
Outcomes
  • Reconciliation and invoice cycles drop from days to hours
  • Decisions taken on current, source-linked data
  • Exceptions and risk patterns visible before they materialise
Capabilities used
Entity extractionMulti-source RAGERP / core tools (MCP)Anomaly detectionHuman-in-the-loopFull audit trail
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  1. Your 2–3 priority problems
  2. Live demo of a similar scenario
  3. Roadmap starting with value analysis