Fraud Pattern Detector Agent

What Fraud Pattern Detector Agent does

A fraud pattern detector agent is an AI agent specialized in fraud pattern detector. It does not answer from memory alone. It reconcile transactions against policy rules, stores observations, verifies completeness, and delivers finance analysis workbook with explicit gaps when tools fail.

The agent receives a fraud pattern detector task, plans tool calls (ledger, spreadsheet, bank-feed, policy-rules), executes reconcile transactions against policy rules, keeps working notes, verifies the draft, and publishes finance analysis workbook. If bank feed missing transactions for the statement period, it import csv manually and flag the gap in the reconciliation. This page simulates that observable loop — not private chain-of-thought.

Workflow

Each step maps to a node in the lab above. Scroll up to play and watch the packets travel.

1. 01

   Input

   Receive task

   Accept the fraud pattern detector request and output constraints.

   Data preview

   In

   Run fraud pattern detector for Q3: produce finance analysis workbook with audit trail.

   Out

   Normalized objective: produce finance analysis workbook.

2. 02

   Plan

   Plan the run

   Choose tool order for Reconcile transactions against policy rules.