Artificial intelligence (AI) governance defines the frameworks and processes used to oversee and manage the development, deployment and use of AI systems. It ensures AI initiatives align with regulatory standards, ethical guidelines and organizational goals, while mitigating risks and enhancing accountability.
This is particularly important in the era of agentic AI and increasingly autonomous systems. Understanding AI before governing it is essential. Organizations must be able to identify the technology’s capabilities and limitations to make informed decisions
about its deployment.
Enterprise architecture (EA) is uniquely positioned to support AI strategy and ensure
consistent governance. EA focuses on aligning a company’s technology infrastructure with its business strategy. It involves maintaining visibility into the existing IT landscape to optimize it, as well as planning and implementing changes to achieve strategic goals.
EA can ensure the methodical adoption of AI in alignment with the organization’s overall goals and existing technology ecosystem. This helps companies avoid unmanaged AI
sprawl while prioritizing responsible, value-driven AI use.
Download this report to explore:
- The role of EA in governing emerging AI.
- The key trends shaping EA in 2025
- EA in action – a pharmaceutical company case study.
- The key success factors and challenges of EA.