The Push for Agentic AI Faces Infrastructure Challenges
The Celonis 2026 Process Optimization Report highlights a significant gap between ambition and capability in enterprise AI adoption. While 85% of enterprises aim to integrate agentic AI within three years, 76% acknowledge their current operations are ill-equipped for such transformation. This discrepancy underscores a critical need for modernizing workflows and reducing process friction to enable AI-driven transformation effectively.
Celonis and the Path to AI Readiness
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Celonis, a leader in process mining and execution management, emphasizes the importance of building AI-ready processes. According to Patrick Thompson, Global SVP of Customer Transformation, AI agents require optimized processes and data to function effectively. The report reveals that 82% of decision-makers believe AI will fail to deliver ROI without a deep understanding of business operations. This indicates a pressing need for enterprises to invest in process intelligence as a foundational step toward AI integration.
Industry Implications and the Competitive Landscape
The drive towards AI is not just a technological shift but a strategic one. With 89% of leaders viewing AI as a major competitive opportunity, the pressure to modernize is intensifying. However, only 19% of organizations currently use multi-agent systems, highlighting a significant readiness gap. The challenge lies in overcoming structural issues like siloed teams and disconnected systems, which hinder AI’s potential. The report suggests that process optimization is crucial, not just for efficiency but as a strategic advantage in a rapidly evolving market.
The Road Ahead for Enterprises
Organizations must address these foundational challenges to harness the full potential of agentic AI. By focusing on process intelligence and operational visibility, companies can create the necessary infrastructure for AI to deliver meaningful ROI. As the economic and geopolitical landscape demands agility, mastering processes becomes essential for survival and success. The call to action is clear: enterprises must prioritize process optimization to enable effective AI deployment, ensuring they are equipped to navigate the complexities of the modern business environment.
For more information on process optimization and AI readiness, visit Celonis.
