As AI becomes embedded in enterprise operations, products, and value chains, how should companies govern it responsibly and credibly demonstrate that governance to third parties?
Identify key challenges
Promote best practices
Define meaningful disclosures
While development and design decisions shape the potential effects of AI systems, adoption and use decisions made by businesses and organizations ultimately define many real world impacts.
Effective corporate governance, transparency, and collaboration across the value chain are what turn AI’s potential into positive outcomes and keep harms in check. With effective governance measures in place, companies can build solutions that advance true benefits for people and society while gaining a competitive edge, growing brand trust, attracting top talent, and sustaining customer loyalty. PAI’s Enterprise AI program brings together a multistakeholder community to define responsible AI processes for businesses and organizations, and identify disclosures that will meaningfully inform third parties.
Our Enterprise AI Work
Many companies recognize that AI needs to be governed responsibly, but fewer have a rigorous approach for identifying AI-related risks within their operations, products, and broader value chain. PAI’s Corporate AI Risk Assessment Framework, currently open for public feedback, offers companies a structured way to assess AI-related risks, and to prioritize the actions most relevant for managing them. This aligns with PAI’s 2025 report, Responsibly Navigating the Enterprise AI Landscape, which found that many companies are motivated to adopt AI responsibly but often lack the necessary internal processes and tools.
Our Investor Disclosures Work
Investors increasingly want to understand how companies manage AI-related risks and opportunities, but there is little consistency in what companies disclose or how useful that information is. PAI’s AI Disclosure Recommendations help companies apply existing reporting standards to identify material AI-related information and publish disclosures that are useful for investors. Investors can also use the Corporate AI Risk Assessment Framework to better assess and engage with companies. This builds on PAI’s 2025 Landscape Analysis of AI reporting, which examined disclosures from 50 of the world’s largest companies and found significant gaps in quality and consistency.
Featured Work
Steering Committee
Lindsey Andersen
Associate Director, Responsible Tech
BSR
Kathy Baxter
Principal Architect, Responsible AI & Tech
Salesforce
Daniel Berrick
Senior Policy Counsel for Artificial Intelligence
Future of Privacy Forum
Abigail Gilbert
Co-Director
Institute for the Future of Work
Reena Jana
Head of AI Transparency & Standards
Athmeya Jayaram
Affiliate Faculty
NYU Grossman School of Medicine
Ruchika Joshi
Fellow, AI Governance Lab
Center for Democracy & Technology
Alex Kessler
Microsoft
Liza Levitt
Vice President, Deputy General Counsel – Platforms, Responsible AI, Emerging Technology
Intuit
Emily McReynolds
Head of Global AI Strategy
Adobe
Daren Orzechowski
Technology Sector Lead
A&O Shearman
Trooper Sanders
Predawn.ai
Ann Skeet
Senior Director, Leadership Ethics
Markkula Center for Applied Ethics
Holly Song
TikTok
Shing Suiter
Senior Director, Technology Platforms
Mozilla Foundation