Transaction Anomaly & Fraud Flagging for M&A Analysts with PitchBook
Run transaction anomaly & fraud flagging on autopilot inside PitchBook.
The Problem
Forensic and controller teams only spot Transaction Advisory fraud during annual review — and by then the pattern has compounded over 10 months of undetected leakage.
What We Build in PitchBook
AI monitors Datasite 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 PitchBook — uses the native API or agent integration so nothing leaves the system of record.
PitchBook Integration Approach
Audit your PitchBook configuration
We map the specific PitchBook objects, custom fields, and workflows the automation needs to touch for your transaction advisory practice.
Build on the PitchBook API or agent
Integration happens inside PitchBook — no data leaves the system, no parallel tool for your team to learn, no license changes.
Human-in-the-loop handoff
Every automation routes exceptions back to a human in PitchBook with enough context to act — AI handles the 80%, your team owns the judgment calls.
Frequently asked
Does this transaction anomaly & fraud flagging automation work natively in PitchBook?+
Yes — we build directly on PitchBook's API or agent integration. Your data stays in PitchBook, your m&a analysts keep the same login and UI, and there's no parallel system for the team to learn.
What PitchBook configuration do we need before deployment?+
We work with your existing PitchBook setup. During discovery we map the specific objects, custom fields, and workflows the automation touches — no rip-and-replace required for transaction advisory teams.
Can PitchBook handle transaction anomaly & fraud flagging on its own?+
PitchBook handles configuration; AI handles judgment. Native PitchBook workflows route deterministic tasks; our automation layer adds the AI judgment PitchBook doesn't ship out of the box — document classification, exception triage, drafting.
Is PitchBook the right tool for transaction anomaly & fraud flagging for m&a analysts?+
PitchBook is widely used among transaction advisory teams precisely because of its data model around transaction anomaly & fraud flagging. We've deployed this workflow on PitchBook for similar firms and the integration is well-trodden.
What's the typical ROI of transaction anomaly & fraud flagging automation in PitchBook?+
For transaction advisory firms running PitchBook, automation typically pays back inside the first quarter — measured against the loaded cost of the m&a analyst hours absorbed. Higher volumes deploy faster.
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See this running in your PitchBook instance
30-minute call. We'll look at your actual PitchBook setup and show exactly how this workflow fits.