Enterprise AI

As AI becomes embedded in enterprise operations, products, and value chains, how should companies govern it responsibly and demonstrate that governance credibly to third parties?

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.

Achieving positive outcomes and mitigating social harms requires effective corporate governance, transparency, and collaboration throughout the value chain. 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 multi-stakeholder community to define responsible AI processes for businesses and organizations, and identify disclosures that will meaningfully inform third parties.

Expected Outputs

Quick Start AI Governance Guide: Organizations increasingly recognize the importance of responsible AI governance and want to adopt best practices, but lack practical, easily accessible guidance to get these processes up and running quickly. PAI’s Enterprise AI Steering Committee is developing a guide to responsible AI governance, including a list of key governance actions paired with practical steps and resources.

Corporate AI Risk Assessment Framework: Successful deployment of AI requires a proactive approach to risk management. Companies can use this framework to identify and prioritize AI-related risks and appropriate business activities for managing them. Results can inform near- and long-term strategic planning, corporate governance, and disclosure. Investors and third parties can also use the framework to guide their assessment of, or engagement with corporate risk management.

Template Model Card: As AI transparency expectations grow globally, model cards have become a widely adopted documentation tool — yet their quality, scope, and format remain highly inconsistent. PAI is developing a practical and accessible resource that consolidates best practices, maps key regulatory requirements across jurisdictions, and clarifies what information is relevant for different actors in the AI value chain.