Enterprise Artificial Intelligence: Building Trusted AI in the Sovereign Cloud

The foreword to Enterprise Artificial Intelligence: Building Trusted AI in the Sovereign Cloud , written by OpenText leaders, was authored by James Arroyo OBE, former Director for Data at the British Foreign and Commonwealth Office and Director of The Ditchley Foundation.

Enterprise Artificial Intelligence: Building Trusted AI in the Sovereign Cloud , is authored by OpenText leaders Tom Jenkins, David Fraser, and Shannon Bell.

The next era of innovation won’t be led by those who move the fastest, but by those who move the most responsibly. Every executive decision, every line of code, every AI model now carries a moral dimension – because information has power, and how that power is used will define the decade ahead.

AI doesn’t exist apart from data — it is data. Explore enterprise data — what it is, how it’s used, and how it can be optimized with an AI engine and governed by an Enterprise Information Management (EIM) platform in the cloud. 

Enterprise Artificial Intelligence (EAI) is redefining enterprise performance by turning intelligence into context. Explore how trusted, secure data is the cornerstone of effective AI. 

The true potential of Enterprise AI emerges where enterprise data and intelligent systems converge, creating new possibilities for innovation, trust, and value. Explore how together they form the foundation of intelligent enterprise decision-making. 

Innovation must be balanced with trust to ensure the intelligence we build cannot be used against us. Explore how cybersecurity must evolve alongside AI to address emerging threats and the advanced defences needed to protect data, models, and AI‑driven operations. 

Before AI can think, it must trust the information it’s built on—and governance is what makes that possible. Explore the core pillars that form the backbone of trusted, compliant, and secure intelligence. 

AI governance provides the policies, processes, and controls that turn Enterprise AI (EAI) into a trusted, strategic asset. Explore how strong EAI governance underpins responsible, sustainable innovation across the enterprise. 

Public and private enterprises must establish secure, sovereign ways to harness AI without compromising privacy, security, or national control. Explore how a hybrid approach enables nations and organizations to responsibly unlock the next wave of AI innovation. 

Explore how to put AI to work across the enterprise by understanding the three levels of AI, that together form the foundation for intelligent, adaptive enterprise AI systems. 

The agentic AI evolution is not about replacing people with automation—it’s about redefining how humans and AI work together. Explore the principles that enable organizations to deploy agentic AI, aligned with strategic goals, risk frameworks, and human-centered governance. 

Explore the evolution from agentic AI to the possibility of Artificial General Intelligence (AGI)—capable of human-like understanding, reasoning, and adaptation across diverse contexts. 

Explore the evolution of Enterprise AI and operations management, and how understanding it is essential for maximizing the benefits of Agentic AI deployments.