Operating KPI Dashboard for M&A Analysts with PitchBook

PitchBook M&A Analyst Transaction Advisory

The Problem

Every Transaction Advisory KPI lives in a different tool and the owner only sees them when the controller rebuilds the deck.

What We Build in PitchBook

AI pipes KPIs from Datasite and every other system into a live dashboard, writes weekly commentary on movement, and sends an exception summary — the owner sees the business in real time. 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 transaction advisory 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

Operating KPI Dashboard for M&A Analysts

AI pipes KPIs from Datasite and every other system into a live dashboard, writes weekly commentary on movement, and sends an exception summary — the owner sees the business in real time.

Other PitchBook Automations