How AI is reshaping enterprise operations across the Middle East

The conversation around AI in the Middle East has changed significantly. A few years ago, enterprise AI was largely about individual applications: a chatbot, a recommendation engine, automated document processing or a productivity assistant. Today, AI is moving deeper into the enterprise: into customer operations, finance, healthcare, banking, energy, logistics, procurement and government services.

It is becoming part of how organisations operate. This shift is particularly significant in the Middle East, where strong government ambition, substantial investment, sovereign AI capabilities, digital infrastructure and a highly receptive business environment are accelerating adoption.

Deloitte’s 2026 research found that 66 per cent of Middle East organisations report efficiency and productivity improvements from AI. At the same time, 34 per cent are already using it to fundamentally redesign products, processes or business models.

The region is moving from AI experimentation towards enterprise transformation. The most consequential change, however, will take place within the enterprise operating model.

From AI applications to AI-powered operations

Traditional enterprise technology has largely been built around systems of record. ERP records transactions. CRM records customer relationships. HR systems manage employee information. Analytics helps us understand what has happened.

AI introduces another dimension. It can understand context, bring information together, recommend actions and execute defined activities.

This is where agentic AI becomes particularly important. An AI agent can gather information across multiple systems, apply business rules, complete a sequence of activities and bring a human into the process when judgement or approval is required.

The UAE’s ambition to deploy agentic AI across 50 per cent of government sectors, services and operations within two years illustrates the scale of this transition.

The enterprise application of AI is therefore evolving from helping people perform individual tasks to orchestrating complete workflows. That is a much bigger opportunity.

The Middle Eastern enterprise has a unique advantage

My experience working with enterprises across the region has given me an interesting perspective. Many large Middle Eastern organisations have grown over decades, often across multiple industries and geographies. Their technology landscapes naturally reflect that history: ERP, CRM, industry platforms, cloud applications and digital solutions have evolved alongside the business.

But these enterprises also possess an enormous asset: institutional knowledge. Customer relationships, market understanding, operational experience and business expertise have accumulated over generations and reside across people, processes, data and systems.

AI can bring much of this knowledge together and make it available at the point of decision. For family-owned and multi-business enterprises, this could become particularly powerful: decades of organisational experience can become accessible, contextual and actionable intelligence.

This is one reason I believe the Middle East can create its own distinctive model of enterprise AI.

Connecting the enterprise

The next challenge, and opportunity, is connecting this intelligence across the organisation. AI becomes considerably more valuable when it can work across systems.

Imagine a healthcare organisation where patient, appointment, hospital and resource information come together to create one operational picture. Or an automotive business where customer, vehicle and service information are connected so that AI understands the complete customer relationship. Or a bank where customer, transaction, risk and compliance information support intelligent decision-making across a process.

The technology foundation matters. SAP, Oracle, Microsoft and industry platforms will continue to play important roles. The opportunity is to connect these systems through intelligent integration, data platforms and AI orchestration.

Intelligence layered across a connected enterprise compounds.

This is why AI transformation is simultaneously a data, integration, cloud, cybersecurity and governance journey.

The next unit of transformation is the workflow

Perhaps the biggest change ahead is how organisations think about productivity. Instead of asking, “Where can an employee use AI?”, leaders can ask: “Which business processes can become intelligent?”

Consider a simple customer journey. An enquiry arrives. Information is retrieved. Availability is checked. Pricing is obtained. An exception is approved. The transaction is processed. A follow-up is scheduled.

AI can coordinate these activities across multiple systems. The same principle applies to recruitment, procurement, KYC, claims, invoice processing, IT support and supply chains.

The unit of transformation moves from the individual task to the complete workflow. That expands the potential value of AI from incremental productivity gains to process-level efficiency and business impact.

AI will become increasingly local and domain-specific

The Middle East will also develop an AI architecture shaped by its own requirements. Arabic will be central to government, banking, healthcare, contracts and customer interactions. Data sovereignty and residency will remain important across government, financial services, healthcare and strategic industries.

Domain knowledge will become equally valuable. The strongest AI systems will combine general capabilities with proprietary enterprise data, industry knowledge and local context. This is already visible in sectors such as energy, banking, healthcare, telecom and government.

The region’s enterprise AI architecture will therefore need to combine data and models with domain expertise, sovereign infrastructure, secure integration, strong governance and human oversight.

A new role for people

AI will also change the skills organisations value. The most valuable talent will increasingly sit at the intersection of business and technology.

This includes domain specialists who can work with AI, technology leaders who understand both architecture and business economics, and managers who can redesign processes and lead teams through change.

This combination of domain expertise, technology fluency and transformation capability will become essential. AI will expand what individuals and teams can accomplish, while human judgement, relationships, creativity and accountability remain central to the enterprise.

The Middle East has a significant opportunity

The ingredients are coming together at the right time. Governments are setting ambitious AI agendas, sovereign infrastructure is developing rapidly, and enterprises have the scale and investment capacity to move quickly. Family-owned businesses contribute long-term thinking and deep institutional knowledge, supported by a digitally engaged workforce that is comfortable working with AI.

The next chapter will therefore be about turning this momentum into intelligent operations.

For CEOs and business leaders, the conversation is becoming a strategic one: Which workflows should we redesign? What organisational knowledge can become intelligence? Where can AI create measurable business value? How should people and AI work together?

And perhaps the most important question is this:

“If we were designing this enterprise today, with today’s AI capabilities, how would we design the way it operates?”

That question moves AI beyond another technology programme and opens the possibility of building enterprises that are intelligent by design. For the Middle East, this could become one of the defining transformations of the next decade.

The author is Chief Delivery Officer at InfoVision