Sponsors and their portfolio companies
AI for Private Equity
Deal work, diligence and portfolio reporting, with the confidentiality walls that each fund and each portfolio company require.
A deal team runs on documents that arrive in volume and on a deadline. The same firm then has to report upward to limited partners and across to portfolio companies, each with its own systems. AI helps with the reading and the first drafts, as long as the walls between deals and between companies hold.
Where the hours go
Work that AI can carry.
- 01 Deal screening from inbound materials
A CIM, a teaser and a data room index summarized against the fund's thesis before an associate spends a day on them.
- 02 Data room review in diligence
Contracts, customer lists and financial schedules read for the terms and exceptions the deal team has asked about.
- 03 Portfolio company reporting consolidation
Monthly packages from each company brought into one format with the variances flagged.
- 04 LP reporting drafts
Quarterly letters and capital account notes drafted from the fund's own numbers for a partner to edit.
- 05 Value-creation playbook rollout
The same operating playbook adapted and delivered across portfolio companies, with each company's data kept apart.
What has to hold
The rules an engagement respects.
- Material non-public information
Anything learned in a deal stays inside the deal team, and the tools used have to respect that boundary.
- Confidentiality agreements per deal
Each NDA has its own terms on who may see what, and an AI tool is a party to that like any other vendor.
- Segregation between portfolio companies
A model that has read one company's data must not answer questions about another.
- LP reporting accuracy
Every number in a letter to limited partners is checked by a person before it leaves the firm.
How an engagement runs here
The four steps, as they run in private equity.
- 01 Assess
The assessment maps where deal data sits today, which tools the deal team already uses on their own, and what each NDA permits.
AI Readiness Assessment - 02 Plan
The roadmap picks a first workflow at the fund or at one portfolio company and sets the confidentiality controls before any data moves.
Strategy and Roadmap - 03 Build
The build runs with deal-level access controls and a review step before any output reaches an investment committee or a limited partner.
Implementation - 04 Train
Training covers the deal team and the portfolio company leaders who will carry the playbook, with a policy that an LP can read.
Training and Change Management
Start with the assessment.
An inventory of your systems, data and rules, interviews with your department leads, and a report that says what to do first in private equity.