Transaction Anomaly & Fraud Flagging for Accounts Receivable Managers with HighRadius

HighRadius Accounts Receivable Manager AR Collections

The Problem

Forensic and controller teams only spot AR Collections fraud during annual review — and by then the pattern has compounded over 10 months of undetected leakage.

What We Build in HighRadius

AI monitors HighRadius transactions in real time for duplicate payments, split invoices, ghost vendors, and round-dollar patterns — flagging anomalies within 24 hours instead of 10 months. Purpose-built for teams running HighRadius — uses the native API or agent integration so nothing leaves the system of record.

HighRadius Integration Approach

1

Audit your HighRadius configuration

We map the specific HighRadius objects, custom fields, and workflows the automation needs to touch for your ar collections practice.

2

Build on the HighRadius API or agent

Integration happens inside HighRadius — no data leaves the system, no parallel tool for your team to learn, no license changes.

3

Human-in-the-loop handoff

Every automation routes exceptions back to a human in HighRadius with enough context to act — AI handles the 80%, your team owns the judgment calls.

See this running in your HighRadius instance

30-minute call. We'll look at your actual HighRadius setup and show exactly how this workflow fits.

More About This Workflow

Transaction Anomaly & Fraud Flagging for Accounts Receivable Managers

AI monitors HighRadius transactions in real time for duplicate payments, split invoices, ghost vendors, and round-dollar patterns — flagging anomalies within 24 hours instead of 10 months.

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