Artificial intelligence is advancing rapidly across the private capital industry, and is already being applied in many areas including deal sourcing, due diligence, portfolio monitoring, investor reporting and the administration of firms.
These documents set out principles and a template that any firm can apply and use, from an early-stage venture capital firm to a large multi-strategy house. They are deliberately proportionate: the same principles apply to every firm, but the formality with which they are implemented should reflect a firm’s size, strategies and appetite for risk.
As AI becomes more central to how a firm operates, it will increasingly affect its legal, regulatory and insurance obligations, including in areas such as intellectual property and the ownership of AI-generated output. Each firm should take its own advice on how these apply.
Linked below, you will find information on:
- Principles for the adoption of AI
- Data governance when adopting AI
- A use policy template for AI
- Glossary of common AI terms
Harnessing AI for Private Capital
AI-focused learning & development courses from UK Private Capital.
Download the documents
Principles for the adoption of AI
A practical, scalable framework of principles to guide firms of all sizes in adopting AI responsibly and effectively.
Acknowledgments
We would like to thank the following members of the drafting group and the wider Accounting, Reporting & Governance Committee for their input.
Matt Guy, Founder, Hazlewood
Hazlewood helps private markets managers deploy AI, digital reporting, and video to deliver a modern investor experience, combining deep private markets expertise with practical technical capability.
Stuart Clowser, Partner, Head of Private Equity, RSM UK
Kaitlyn Reth, Manager, RSM UK Consulting
RSM is a leading Private Equity adviser with specialists in Funds, Transactions and Portfolio Companies. Our integrated Private Equity Team advises global mid-market Private Equity investors across audit, tax, and consulting to create LP value with confidence.