Governance, trusted data, and agentic AI are emerging as key considerations
As organizations across Saudi Arabia move from AI pilots to broader deployment, SAP believes the next phase of adoption will be defined not by access to AI models alone, but by how effectively intelligence is integrated into business processes, supported by trusted data and governed at scale, according to a press statement.
This shift comes at a time when confidence in AI investments remains high across the Kingdom. According to recent SAP YouGov.com research, 91% of organizations say their AI initiatives are meeting or exceeding expectations, while 59% report that AI investments are prioritized strategically and enterprise wide.
These findings suggest that many organizations are increasingly treating AI as a long-term business capability rather than a standalone technology initiative.
Autonomous Enterprise vision
Through its Autonomous Enterprise vision, SAP is positioning AI as an integral part of business operations, working within established processes, governance frameworks, and organizational priorities. The approach is designed to help organizations move beyond isolated use cases and apply AI in ways that support both decision-making and execution.
“Saudi Arabia is moving quickly from AI ambition to enterprise execution, and this creates a clear leadership challenge for organizations across the Kingdom. Agentic AI can deliver significant value, but only when it is grounded in trusted business data, governed processes, and clear accountability,” stated Ahmed Al-Faifi, Managing Director and Senior Vice President of SAP Middle East & Africa North.
According to SAP, organizations that successfully scale AI will increasingly need to focus on five key factors to move AI from isolated projects into day-to-day operations.
Focus on technology
Manos Raptopoulos, Global President Europe, APAC, Middle East & Africa, and a member of the Extended Board of SAP SE, explained that organizations scaling AI successfully must focus on more than technology alone.
“AI is no longer evaluated on novelty. It is evaluated on precision, governance, scalability, and business impact. The winners will not be those with the most AI features. They will be those who treat AI as a core operating layer, governed like a workforce, grounded in trusted data, tailored to employees and customers, and calibrated to the realities of their industry,” he concluded.
