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Across the GCC, the real question is no longer whether organisations are using AI, but whether AI is actually doing the work. Most deployments still sit at the surface, assisting employees without changing how execution happens. AI is now moving beyond individual task support into structured workforce roles, where it carries responsibility across workflows, follows business logic, and executes within real enterprise systems. Gartner projects that by 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024.
In the GCC, organisations are under pressure to scale faster, maintain service continuity, and improve cost discipline without adding unnecessary operational complexity. Digital Dubai recently launched the AI Workforce Transformation Program (AI+) to help train 50,000 government employees for an AI-ready workforce. Shaffra, an AI research and applications company building autonomous AI teams for enterprises and governments, is already deploying this model across the region. The company highlights five business functions where AI is actively executing work inside organisations.
1. Customer service
One of the first functions to absorb AI as a workforce layer is customer service due to high-volume, time-sensitive, process-intensive requests every day. Autonomous AI Teams can handle routine queries across chat, email, WhatsApp, voice, and ticketing platforms while classifying urgency, routing cases, escalating exceptions, and updating records in real time. They can also pull customer history and identify recurring patterns linked to churn, complaints, or policy friction. Customer service teams have handled up to five times more queries through autonomous execution. This shifts customer service from a reactive support function into a continuously operating system that can absorb demand without linear increases in headcount.
2. Revenue operations
A more meaningful transformation is now happening in the commercial engine. Autonomous AI Teams can continuously monitor pipelines, detect stalled deals, flag procurement delays, identify pricing sensitivity, and improve forecast quality using live activity signals rather than backwards-looking updates. They can also support CRM hygiene, proposal workflows, approval chains, and internal coordination between multiple departments around account progression. PwC’s 2026 findings show that 45% of UAE CEOs are already using AI in demand generation across sales, marketing, and customer service. Leadership gets a clearer view of where revenue is genuinely at risk, where process friction is slowing conversion, and where intervention is needed before exposure turns into loss.
3. Human resources
In HR, recurring administrative work, policy enforcement, documentation, and employee support often follow structured paths that can be executed better when properly designed. Autonomous AI Teams can screen applicants, coordinate interviews, manage onboarding steps, answer routine employee questions, and flag missing approvals or documentation before delays compound. They can also support review cycles, workforce planning, and identify bottlenecks and process gaps early. Recruitment timelines are reduced from weeks to hours, while HR leaders review high-impact decisions.
4. Finance and accounting
In the financial department, AI needs to operate reliably within structured processes without compromising strict governance. Autonomous AI Teams can process invoices, support AP and AR workflows, follow up on missing information, review expenses against policy, and coordinate reconciliation and month-end close activities. They can also surface anomalies, identify unusual transaction patterns, and flag control exceptions for review. AI helps increase throughput while preserving auditability, approval discipline, and visibility across the finance operation. This allows finance teams to increase processing capacity without compromising control, shifting their role to oversight from execution.
5. Business operations
The most strategic application sits in business operations – where delivery, dependencies, handoffs, service levels, and internal performance come together. McKinsey’s finding that 84% of GCC organisations have adopted AI in at least one business function suggests the region is already moving into broader integration. Within operations, Autonomous AI Teams track workflows across systems, detect bottlenecks, monitor KPIs and SLAs, identify resource overload, and trigger interventions before issues become delivery failures. They can also support oversight by summarising status, escalating likely delays, and coordinating cross-functional execution in real time. Across Shaffra deployments in the Gulf, organisations have reported up to 80% reductions in operational costs and more than 2 million manual work hours saved monthly.