Enterprise AI

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.

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

Google

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