Agentic AI is no longer at the pilot project stage in companies. IDC expects more than 1 billion AI agents to be active worldwide by 2029 accounting for 26% of global IT spending valued at 1.3 trillion dollars.

The Middle East sits at the center of this shift. IDC’s latest global AI outlook names Saudi Arabia and the UAE as fast-growing markets, with regional AI spending on track to reach 11.4 billion dollars by 2027.

The question for CIOs is no longer whether agents will act inside the enterprise. It is whether the enterprise is ready to govern what they do.

Speed Without Structure Has A Cost

IDC projects that by 2030, up to one in five Global 1000 organizations will face lawsuits or steep fines stemming from poorly governed AI agents. Often, the root cause is that data and oversight were never built to scale in the first place.

Governments across the Middle East reached the same conclusion, and acted on it. In 2026, the Saudi Data and Artificial Intelligence Authority (SDAIA) published a National AI Risk Management Framework, to accompany a mandatory AI Adoption Framework for public entities built on five pillars: data governance, model accountability, transparency, human oversight, and risk management.

The UAE moved on a parallel track. In 2026, its Cabinet merged the AI Office, the national data authority, and digital government functions into a single federal AI and Data Authority, while setting a target to run half of government operations on agentic AI within two years.

The message from both countries is consistent. Adoption and governance are being built together, not one after the other.

What AI Governance Actually Requires

For enterprises, this means treating agents as infrastructure, not just software. IDC’s own guidance is specific: standardize the frameworks agents rely on, keep confidential data separate from public data, grant agents only the access a task requires, and maintain a live record of who owns each agent and what it can reach.

None of this replaces human judgment. It protects the ability to use it. A well-governed agent still needs someone accountable for its decisions, a clear audit trail, and a way to shut it down the moment something goes wrong.

Three Governance Questions to Start Asking inside of Your Company

Before adding another agent to the business, get the right people in the room. That means the CIO or CTO, the CISO, legal and compliance, the data protection officer, and the business unit leader who owns the process the agent touches. Governance breaks down when it sits only with IT or only with legal. Bring these groups together before the agent goes live, not after something goes wrong.

Once they’re in the room, leadership should be able to answer:

• Who owns each deployed agent, and what systems or data can it reach?
• Is there a live inventory and audit trail covering every agent in production?
• Can the organization pause or disable an agent immediately if it acts outside its intended scope?

Organizations that can answer these today will scale agentic AI with more confidence. The ones that cannot are still experimenting, no matter how many agents they’ve already deployed.