Shaffra’s Alfred Manasseh on how UAE companies are moving beyond AI tools to autonomous AI teams
The COO and co-founder of Shaffra, explains what autonomous AI actually means in practice, why confidence in AI systems depends on governance more than intelligence
29 June, 2026
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Across the UAE, AI is described as transformational but the real story is quieter and more grounded. While the world debates whether AI will replace jobs, companies in the region are already moving past chatbots and copilots toward something more fundamental: autonomous AI teams embedded directly into business workflows. These aren’t tools that help humans work faster; they’re systems executing defined tasks from start to finish.
In retail, financial services, HR, and B2B sales, measurable results are already visible, reduced processing time, lower costs, faster turnaround. Yet most UAE companies still lack visibility into how their AI makes decisions, and many are struggling to redesign workflows around these new capabilities.
Alfred Manasseh, COO and co-founder of Shaffra, explains what autonomous AI actually means in practice, why confidence in AI systems depends on governance more than intelligence, and why the next few years will determine whether organisations can truly integrate AI as a workforce layer rather than a tool.
Across the UAE, AI is often described as transformational, but in practical terms, where are companies genuinely deploying AI agents today, and which business functions are seeing real, measurable experimentation?
Companies need to move from AI tools to autonomous AI teams that are embedded directly into business workflows. Experimentation usually means copilots, chatbots, or internal assistants that help people work faster. Deployment means AI agents are given defined tasks across systems and are expected to execute them from start to finish with a clear outcome.
In the UAE, this is already visible across sectors. In retail and e-commerce, autonomous AI teams are supporting order processing, inventory coordination, customer service, and post-sale follow-ups. In financial services, they are being used for invoicing, reconciliation, document checks, and internal approvals. In HR, they are helping teams screen candidates, schedule interviews, and manage onboarding flows. In B2B sales environments, they are supporting lead qualification, follow-ups, and account coordination, allowing teams to focus more time on high-value client engagement.
With AI teams, companies are looking at reduced processing time, higher throughput, lower operational cost, and faster turnaround across functions. The UAE has the digital infrastructure to support workforce transformation through the UAE National Strategy for AI 2031, which aims to position the country as a global AI leader and embed AI across priority sectors. However, execution maturity still varies. Some organisations are ready to redesign workflows around AI, while others are still experimenting.
There is growing discussion about AI “replacing” roles, but what is actually happening inside organisations in the region? Is AI truly replacing jobs?
AI is not replacing the workforce in one sudden movement. It is restructuring the unit of work inside the enterprise. Repetitive work is being automated because it does not require constant human judgment.
Human roles are shifting toward oversight, exception handling, decision-making, relationship management, and higher-value work that requires context. This is less about workforce reduction and more about workforce redesign. Companies want to increase output without increasing operational complexity, and AI gives them a way to scale capacity without building every function through headcount alone.
In the region, most companies are not using AI to make sudden cuts across teams. A more realistic pattern is that hiring slows in certain operational areas while productivity continues to increase. In fact, demand is rising for AI, data science, and senior management capabilities in the UAE, with AI hiring recording 39 per cent year-on-year growth. The strongest organisations will keep humans accountable for judgment, relationships, and strategic decisions, while Autonomous AI Teams take on high-volume execution.
One of the biggest challenges comes when knowing how AI truly performs in uncertain times, or high-pressure environments, what determines whether leaders feel confident enough to deploy autonomous AI systems at scale? How do they actually work?
Confidence does not come from model intelligence alone but from operational reliability. Many AI systems fail in high-pressure environments because they are deployed as isolated tools rather than coordinated operating systems.
Autonomy cannot be treated as a binary switch. AI teams work best when they know what they are responsible for, which systems they can access, which decisions they can make, and which situations require human approval. A leader will only trust autonomous AI when every AI employee has a defined role, approved data access, clear decision boundaries, measurable KPIs, and escalation paths into human oversight.
The real differentiator is coordination and control. Companies need AI agents that can work across systems, maintain continuity, follow predefined logic, and remain accountable within the operating model. This is where the market is heading. At Shaffra, we see growing demand for AI workforce platforms that move companies from isolated AI tools toward governed autonomous AI teams that can coordinate work, escalate exceptions, and operate securely inside enterprise systems.
How prepared are UAE companies culturally and operationally to integrate AI agents into daily operations, and what are the main barriers slowing down wider implementation? Do you have any proof metrics showing the results organisations are receiving?
The UAE is highly prepared with strong digital foundations, an ambitious national direction, and a business environment that is open to new technology. The bigger gap is that many companies still need to redesign workflows and overcome fragmented systems, disconnected data, and operational processes that were not originally designed for AI-driven execution.
Recent research shows that 94 per cent of UAE data leaders say they lack complete visibility into AI decision-making processes. This proves that leaders also need to know how decisions are made, who is accountable, and how risk is managed before they give AI agents a larger role in daily operations.
True indicators of AI’s business value include a reduction in manual workload, the speed of execution cycles, cost efficiency, the volume handled per function, and the ability to scale output without increasing headcount at the same rate. Across Shaffra deployments, Autonomous AI Teams have contributed to more than two million manual work hours saved monthly across operational workflows. IBM research shows that 77 per cent of UAE senior leaders have already seen significant productivity gains from AI, while 93 per cent expect AI agents to deliver measurable ROI within two years.
How do you see AI workforce systems evolving in the region over the next few years?
The region is moving from AI adoption to AI workforce architecture. The first phase was AI copilots and chatbots that helped employees complete tasks faster. The second is AI as an operator, where agents begin executing defined tasks across business systems.
Over the next two to three years, the third phase will become more visible, with AI developing into a workforce layer inside organisations.
This means AI systems will have defined roles, responsibilities, performance targets, and reporting structures. They will be measured in the same practical way human teams are measured, through output, efficiency, accuracy, speed, and cost impact. The UAE is moving quickly; Digital Dubai recently launched the AI Workforce Transformation Program (AI+) to help train 50,000 government employees for an AI-ready workforce.
In the next few years, competitive advantage will come from building organisations where humans and Autonomous AI Teams operate as one governed workforce system. AI will become part of organisational design, not an add-on tool.
