AI Assurance for Investors
A practical event on how investors can use AI assurance to assess AI-related risk, maturity, valuation impact and red flags in portfolio companies.
AI Assurance for Investors
Over the past year, AI assurance, insurance and procurement have matured significantly, creating new sources of information for investment decisions and exit strategies. This session will focus on how investors, advisers and governance teams can evaluate AI maturity, spot red flags early and understand the commercial implications of AI assurance.
What the session will cover
- How AI assurance helps assess the reliability, safety and compliance of AI systems in portfolio companies
- Model governance, data quality, algorithmic transparency and regulatory alignment
- How AI assurance affects valuations and investment outcomes
- Evaluating AI maturity and spotting red flags early
UMNAI at the event
UMNAI will be represented by Ken Cassar, contributing to the discussion on AI governance, stewardship, assurance, and the practical implications of generative, agentic and neurosymbolic AI.
For UMNAI, the topic is central: as AI moves further into consequential decision-making, investors need clearer ways to assess whether AI systems are explainable, governable and defensible.
Workshop focus
The session includes a participatory workshop built around two practical questions:
- What do investors need to know to assess a company’s AI adoption?
- How can investors get the information they need?
Expect a practical, cross-sector and interdisciplinary discussion, followed by drinks and networking.