As one of the Gulf’s earliest adopters of a cloud-first policy, Bahrain established a foundation that enabled government entities, financial institutions and enterprises to modernise operations and accelerate digital services. That investment has positioned the Kingdom well for the next phase of enterprise transformation, where competitive advantage will depend less on adopting artificial intelligence and more on deploying it effectively across the organisation.
“The foundations are in place,” says Mohammed Ashoor, Country Manager – Bahrain, ADG. “This is the country that led the GCC into the cloud. The cloud-first policy was a mandate, and most institutions here made that migration years ago. So, the question is no longer whether to modernise. What I see now is a gap between that infrastructure maturity and operational AI readiness.”
Yet many organisations continue to struggle to operationalise AI because the data underpinning their businesses remains fragmented across departments, applications and legacy systems. “You can have the most capable models in the world, but if they cannot reach connected, governed, trustworthy data, they stay stuck in the proof-of-concept stage,” says Ashoor.
The value gap
The challenge extends well beyond Bahrain. Across global markets, enterprises have spent the past two years experimenting with increasingly capable AI models, yet relatively few have translated those investments into measurable business value. Research from McKinsey and Boston Consulting Group suggests that despite AI adoption approaching 90 percent, only around five to six percent of organisations are realising significant enterprise-wide returns.
Those themes formed the basis of Agentic Work Transformation – Bahrain 2026, an invitation-only executive programme hosted by ADG in collaboration with Google Cloud. Bringing together senior leaders from government, financial services and regulated industries, the programme focused on the practical realities of operationalising AI—from trusted data and governance to cloud economics, security and enterprise-scale deployment.
According to Ashoor, three issues continue to separate successful AI deployments from stalled initiatives: fragmented data, the absence of an operating model, and the gap between planning and delivery.
“The data tells a paradoxical story,” he says. “This is not a Bahrain problem, it is a global one. Pilots run on clean, curated data, but production runs on the messy, fragmented reality of the enterprise, and most organisations underestimate that distance.”
Technology and data foundations, however, are only part of the equation. “The second challenge is the operating model. A pilot is a project, whereas production AI is a discipline, with ownership, cost accountability, governance and a way of measuring return. Most failed AI efforts did not fail technically; they failed because no one owned the question of whether they were paying for themselves.”
The final obstacle, Ashoor explains, is one that many organisations continue to underestimate. “A great deal of money has been spent on assessments and strategy decks that were never built. Someone writes the recommendation, and then it sits there, because writing the deck and shipping the system are two very different capabilities. The organisations that break through are the ones that close that gap deliberately rather than hoping it closes itself.”
Those realities are becoming increasingly evident as Bahraini enterprises build on more than a decade of cloud investment. The conversation has shifted beyond modernisation towards embedding AI into core business operations, creating demand for partners capable of combining strategic advice with implementation.
“Bahrain is already well advanced in its digital journey,” says Ashoor. “The next phase is about execution rather than strategy. The market has no shortage of firms that will write a strategy, and no shortage of vendors that will sell a platform, but comparatively few that can integrate strategy and execution under one roof while remaining vendor-neutral.”
A market ready for more
The Kingdom’s maturity also made this a natural point for ADG to establish a local presence. As organisations move from defining AI ambitions to deploying them in production, they are placing greater value on partners that can stay accountable from design through delivery.
“We took the view that there was a structurally unoccupied position in this market, and that the country was at exactly the point in its maturity where that position became valuable,” says Ashoor. “Establishing a local presence, rather than serving Bahrain from elsewhere, matters because this phase is about proximity—being in the room, understanding the institutional context, and being accountable for delivery.”
“What leaders are looking for now is a partner who can carry an idea from boardroom to production without losing fidelity in the handoffs,” he adds. “The people who design the strategy should also be accountable for delivering it. AI has to be treated as a business investment, with clear ownership, cost governance and measurable returns.”
The same considerations also apply to cloud platforms, with enterprise leaders weighing cost, sovereignty and governance alongside AI capabilities. “Expectations are shifting from capability to control,” says Ashoor. “Leaders are asking about cost, sovereignty and trust. As AI workloads scale, the bill often grows faster than the value. For regulated industries and the public sector, data residency and governance must be designed in, not bolted on. And as AI becomes more autonomous, organisations want assurance about where the line sits between what the technology can do and what their regulator, board and customers will accept.”
Meeting those requirements increasingly depends on combining global cloud platforms with local implementation expertise. That is the role ADG intends to play through its collaboration with Google Cloud. Google Cloud contributes enterprise AI capabilities, cloud infrastructure and global engineering expertise, while ADG focuses on implementation and helping organisations deploy those technologies within Bahrain’s enterprise landscape.
“No single party holds all the pieces,” says Ashoor. “Global platforms bring world-class technology and the pace of innovation. But technology alone has never been the constraint. The challenge is translating that capability into something that works inside a specific organisation, in a specific regulatory environment, with a specific data reality.”
“Google brings the platform, the AI capability and the global engineering depth. We bring the local transformation capability, the proximity to institutions and the accountability for delivery. Neither delivers measurable outcomes on its own.”
For enterprises deciding where to invest next, Ashoor believes the priority is not expanding AI capability but strengthening the foundations that allow it to scale.
“I would offer three priorities,” he says. “First, invest in the data foundation before you invest in more models. Connecting and governing your data is unglamorous work, but it is the single biggest determinant of whether AI reaches production.”
Building that foundation, however, is only part of the equation. Scaling AI also requires clear ownership, governance and accountability.
“Second, build the operating model. Decide who owns AI, how its cost is accounted for, and how its return is measured before you scale. The organisations that struggle are the ones that scaled capability faster than they built the accountability to run it.”
Rather than attempting to transform every part of the business at once, organisations should focus on demonstrating measurable value before expanding AI more broadly.
“Third, pick a use case where the return is real and ship it end-to-end. There is enormous value in moving one use case all the way into production because it proves the path, builds the muscle, and gives you a genuine measure of return that you can then repeat. One thing shipped beats ten things piloted.”
Bahrain has already demonstrated that it can move early on technology. The next phase will be defined not by how quickly organisations adopt AI, but by how effectively they operationalise it. That is where the Kingdom’s next gains in productivity, competitiveness and enterprise value are likely to be realised.
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