AI and the Ledger: What PE Sponsors and Portfolio Companies Can Do With the Data Already in NetSuite

For PE firms and the portfolio companies they back, the data that shows whether an investment thesis is working lives in NetSuite. Sponsors often see it a week or two later, in reports that are already out of date when they’re exported. And when those reports don’t answer the next question, portfolio-company finance teams spend time pulling the detail together.

AI can shorten that loop—but only if teams can trust the output in management, sponsor, and board reporting.

This session looks at what AI can do with the financial and operational data already in NetSuite. We’ll cover use cases across the PE lifecycle: diligence readiness, the 100-day plan, hold-period reporting, buy-and-build integration, and exit prep. We’ll use live output to show how the tools work in practice.

We’ll also focus on trust: what sponsors and CFOs should demand from AI that touches the ledger, why “looks right” is not enough in finance, and how teams can verify where an answer came from. We’ll be candid about where these tools fall short.

What you'll learn:

• Where AI can support meaningful financial and operational analysis in NetSuite across the PE lifecycle.
• How to assess AI output before using it in management, sponsor, or board reporting.
• Which governance questions to ask about permissions, read-only access, audit trails, data privacy, and the limits of the tools.

Featured Speaker

Tim Dietrich
Founder
SuiteStep