Publicis Sapient: Moving beyond the trap of fleeting experiments forces re-engineering of data environments and operating models in Saudi enterprises

Discussions about adopting artificial intelligence within the business sector in Saudi Arabia have reached a qualitative turning point, with companies moving beyond the initial question of whether to enter the field and settling on a decisive criterion: how quickly and how capable they can move from isolated experiments to large-scale enterprise deployment while delivering measurable economic value? This shift, which was affirmed by Ashwaq Al-Shathri, CEO and Managing Director of Publicis Sapient, during her participation in the LIP 2026 conference, places senior executives before a new operational reality that owning the latest technologies is no longer, by itself, the decisive competitive advantage.

Enterprises that aim to deploy intelligent systems at scale run directly into the readiness of their infrastructure.Transitioning to advanced stages requires modern technical environments and interlinked, reliable databases that ensure precise information flow, as well as strict governance frameworks that align with the nature of systems that are gaining increasing decision-making autonomy. Without these fundamental pillars, technology investments, regardless of their budgets and ambitions, risk receding into the domain of isolated experiments and showcase projects instead of becoming an organic component of daily work mechanisms.

The core of this challenge lies in how to deal with existing work streams. Rather than merely sticking AI tools onto legacy processes, genuine transformation demands redesigning operating models from the ground up to align structurally with automated processing capabilities. This distinction between 'adding technology' and 'restructuring the organization' determines the gap between systems that waste resources on patchwork solutions and those that boost operational efficiency and reshape service delivery to the public and beneficiaries with doubled flexibility and speed.

The human element in turn represents the cornerstone of the expanded-operations equation.With agents and intelligent systems intersecting in daily decision-making pathways, companies are required to revisit job-role definitions and the engineering of the skills needed for staff to ensure teams are ready for collaborative work with these systems. Technology can accelerate process pace, but the success and sustainability of this path ultimately depend on how well individuals can steer and manage outputs responsibly and effectively.

In the Gulf and regional executive environment, this framing reshapes the priorities of technology and operations managers, shifting the focus from proving model capabilities to demonstrating their direct financial and operational impact. This shift practically means directing investment spending toward cleaning data pipelines, updating software architectures, and linking project entitlements to concrete performance indicators that reinforce revenue sustainability and prevent budget waste on experiments that do not serve core production lines.