Key CFO AI Adoption Insights for In-House Counsel
In-house counsel advising on M&A, corporate governance, and finance operations must prioritize these insights because unvetted AI adoption claims, ungoverned AI agents, and inconsistent AI tool outputs create material legal, audit, and valuation risks for their organizations.
The article summarizes off-the-record takeaways from a Foley & Lardner CFO Executive Forum panel focused on real-world, not theoretical, AI adoption in finance functions. Key findings include that most finance teams have only achieved incremental AI efficiency gains rather than full operational transformation, that centralized, standardized data layers are the foundational requirement for successful AI deployments, that ungoverned AI agents pose material operational and data security risks, and that AI adoption maturity is now a standard benchmark in M&A diligence, fundraising, and board performance reviews. In-house counsel should collaborate with finance teams to document formal AI use cases, draft AI agent governance policies aligned with existing delegation of authority frameworks, validate AI-related claims in purchase agreements and investor materials, and budget for elevated audit fees tied to AI-driven finance processes.