KYC/AML Review for Private Equity Analysts with PitchBook

PitchBook Private Equity Analyst Private Equity

The Problem

KYC refreshes for Private Equity clients pile up — manual review is slow, inconsistent, and creates regulatory risk when flagged activity isn't followed up.

What We Build in PitchBook

AI runs sanctions, PEP, and adverse-media checks nightly, scores each client, and queues anything above threshold for analyst review — BSA risk in real time, not annually. Purpose-built for teams running PitchBook — uses the native API or agent integration so nothing leaves the system of record.

PitchBook Integration Approach

1

Audit your PitchBook configuration

We map the specific PitchBook objects, custom fields, and workflows the automation needs to touch for your private equity practice.

2

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.

3

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.

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.

More About This Workflow

KYC/AML Review for Private Equity Analysts

AI runs sanctions, PEP, and adverse-media checks nightly, scores each client, and queues anything above threshold for analyst review — BSA risk in real time, not annually.

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