Ahmed Eid, CEO, iSolution
Demand for agentic AI is expanding across Saudi Arabia as companies seek software tools that can visualize multistep tasks, retrieve information across applications, and execute business workflows.
According to Ahmed Eid, chief executive officer of iSolution, the expansion of the Kingdom’s digital sector offers substantial room for operational automation. The national digital economy accounted for 16% of Saudi gross domestic product in 2024, providing a foundation for broader software integration across commercial sectors.
Enterprise Uptake and National Survey Data
Official data indicates growing reliance on advanced technology within the Kingdom. A 2025 establishment survey conducted by the General Authority for Statistics (GASTAT) showed that 33.1% of surveyed establishments used artificial intelligence systems.
Sector-specific adoption rates were notably higher in key industries. Adoption reached 61.1% in information and communications, 52.9% in finance and insurance, and 44.4% in transport and storage. In addition, 51.3% of all establishments utilized cloud computing infrastructure.
Productivity Gains and Global Return Metrics
International patterns show varying levels of deployment based on company scale. Data indicates that 40% of organizations generating more than $1 billion annually scaled automated agents in at least one business unit, compared to 22% among smaller firms.
However, financial returns remain uneven across early adopters. An August 2026 McKinsey survey revealed that 80% of respondents experienced individual productivity improvements from automated tools. Conversely, only 37% reported a positive impact on earnings before interest and taxes (EBIT).
Industry Applications for Agentic AI
Local deployment of agentic AI targets several primary sectors in the Kingdom, specifically financial services, retail, logistics, and customer operations. These systems function within predefined parameters to handle routine processes.
In retail and banking, automated agents can gather onboarding paperwork, verify records against connected databases, and direct discrepancies to human staff. In freight and logistics, the software assists by reconciling tracking updates across disparate transport platforms and flagging operational delays.
Cost Controls and Integration Requirements
Effective governance requires balancing automation against technical expenses. McKinsey reported that one in five organizations limited automation tools due to operating costs, including token consumption. Furthermore, research firm Gartner projected that over 40% of autonomous software projects will face cancellation by late 2027 due to expenses, vague outcomes, or weak risk protocols.
“Successful deployment also depends on secure application integration, reliable data, access permissions, monitoring and escalation procedures. Enterprises, along with service providers, must determine which tasks can be automated consistently and where decisions require human authorization.”
Ahmed Eid, CEO of iSolution
Eid stated that executive teams must measure performance using four metrics: service continuity, staff adoption, total operational expenditure, and productivity. Proper implementation also relies on strict data governance and cybersecurity safeguards to ensure controlled corporate workflows.
