Our Reports

Developed in collaboration with Kearney, the report explores how AI-first enterprises are rethinking business models, workflows and decision-making. Drawing on insights from more than 50 leading organizations, it outlines five building blocks of AI-first success: intelligence engines, adaptive technology stacks, operations redesign, human-AI teaming and new value creation.

Developed in collaboration with Accenture, and part of the Industries in the Intelligent Age white paper series, this report introduces a Human-led AI transformation framework focused on three non-delegable human responsibilities: setting direction, exercising judgement and holding accountability. It argues that Asia’s AI opportunity will be shaped not only by model capability, but by whether human systems can be deliberately reorganized around AI at organizational, ecosystem and regional levels.

Developed in collaboration with Capgemini, this report outlines clear agent guidelines and enforceable authorization profiles, providing organizations with a structured path from pilots to portfolios of governed agents at scale. It serves as a practical resource for teams seeking to operationalize AI agents responsibly while maintaining auditability, enforceability and human accountability and advancing the development of shared standards. It also introduces the Agent Capability and Authorization Profile (ACAP) as a deployment-level governance and authorization instrument for agentic systems.

In collaboration with Bain & Company, the report explores how economies can design sovereign AI infrastructure strategies by balancing domestic ownership with trusted international partnerships. It outlines the core building blocks of AI infrastructure, examines the non-negotiable prerequisites required to develop, sustain and scale each building block, and introduces an AI sovereignty spectrum to help economies design resilient strategies suited to their local capabilities.

In collaboration with Accenture, the report examines how organizations can move beyond isolated AI pilots to embed artificial intelligence into the core workflows that define how work gets done and decisions are made. It identifies five critical focus areas covering customer experience, operations, R&D, strategic planning and talent, outlining how leading enterprises are redesigning operating models around continuous and adaptive systems rather than periodic processes, and how sustained AI value depends less on technical sophistication than on leadership accountability, governance and the ability to keep human judgement firmly at the centre.

In collaboration with Accenture, the report outlines how organizations can move beyond experimentation to scale AI that delivers measurable enterprise, industrial and societal value. Developed through insights from hundreds of applicants and in depth interviews, the report offers a practical blueprint for scaling impactful AI adoption through five action areas. 

Written in collaboration with Capgemini, the report provides a structured foundation to close the gap between AI Agents adoption and real-world deployment. It outlines the technical architecture of AI agents, introduces a functional classification spanning role, autonomy, predictability and context, and presents a progressive approach to governance. Through case studies and practical guidance, it clarifies how organizations can align AI agent adoption with proportionate safeguards.

The AI Governance Alliance's "Industries in the Intelligent Age" white paper series examines AI's transformative role across various sectors. Each paper provides a detailed snapshot of the AI landscape at the time of writing, acknowledging the rapid advancements in the field. The series aims to deepen understanding of AI's implications and applications through continuous collaboration with World Economic Forum partners and stakeholders involved in AI strategy and implementation.

Developed with Capgemini, this report examines AI agents—autonomous systems powered by advances in large language and multimodal models—and their transformative impact across industries. It highlights their potential to enhance efficiency in healthcare, education, and finance through sensing, learning, and acting capabilities.

This white paper, produced by the Global Future Council on the Future of AI, addresses the critical issue of AI value alignment, ensuring AI technologies reflect core human and societal values. It presents practical frameworks for integrating ethical principles throughout the AI life cycle, from development to deployment, promoting responsible use. 

In collaboration with CPP Investments Insights Institute, this white paper presents a strategic playbook for investors aiming to accelerate the adoption of responsible artificial intelligence. It provides practical guidance, examples, and actionable steps for engaging with stakeholders.

The Presidio Recommendations offer 30 guidelines for the ethical use of generative AI, emphasizing responsible innovation, international cooperation, and societal benefits. These aim to shape generative AI's development and governance for a positive societal impact.