Bridging the AI Readiness Gap: Why Process Optimization is Key to Agentic Success

According to the Celonis 2026 Process Optimization Report, 85% of enterprises aspire to become agentic within three years. However, a striking 76% admit their operations are not yet equipped to support this transformation. This discrepancy highlights a critical gap between ambition and operational readiness. While organizations are eager to embrace AI-driven transformation, the foundational work required to modernize workflows, reduce process friction, and build operational resilience remains largely incomplete.

For AI agents to operate autonomously and effectively, they require optimized, AI-ready processes and access to process data and operational context. Without this foundation, AI systems are essentially guessing. A staggering 82% of decision-makers believe AI will fail to deliver return on investment (ROI) if it lacks an understanding of how the business operates. Process intelligence emerges as the connective layer, providing a shared operational language that grounds AI decisions in the reality of business operations.

The AI adoption challenge is less about technology and more about change management and operating models. Siloed teams, lack of coordination between departments, and outdated processes create significant barriers. As Patrick Thompson, global SVP of customer transformation at Celonis, notes, 'You can’t bolt AI onto a broken process and expect it to work.' True enterprise modernization requires redesigning how teams, systems, and decisions connect, with AI only succeeding when this modernization is achieved first.

To transform process optimization from a background IT project into a strategic advantage, organizations must connect it directly to outcomes that matter to executives. When processes function optimally, they influence board-level concerns such as risk management and decision-making speed. In the current economic and geopolitical environment, agility has become a survival skill. Organizations that view process optimization as a critical business-wide initiative are better positioned to navigate constant change and thrive in the agentic era.

To succeed with agentic AI, organizations must close the readiness gap by gaining operational visibility. This involves moving from static, traditional tools to real process intelligence, providing live visibility into how operations actually run. Without this foundational shift, AI deployments risk becoming expensive pilots that fail to scale. The call to action is clear: prioritize operational visibility and process intelligence to create the operational clarity AI needs to deliver real ROI.