Stop Automating Work That Should Not Exist

This executive brief on AI Native Execution and Agentic Transformation is co-authored by Geraldine McBride, CEO of MyWave.ai, an LTM partner, and Indivar Nayyar, VP of AI & Data at LTM.

Most enterprises are deploying AI. Very few are transforming with it. Despite widespread adoption, only a small fraction of organizations are realizing meaningful financial impact. The gap is not about access to technology. It is about how it is applied. As SAP CEO Christian Klein emphasizes, the challenge is execution. This paper challenges a deeply ingrained assumption that transformation comes from making existing processes faster.

Leading enterprises are asking a more fundamental question. Should this work exist at all? This executive brief explores why traditional approaches to AI fall short, and how a shift to AI native, agentic execution changes the equation entirely. Drawing on global research and real-world enterprise outcomes, it outlines:

• Why most AI investments deliver acceleration, not transformation
• The structural difference between automating processes and redesigning them
• How agentic AI enables entirely new operating models
• What separates high performing AI driven organizations from the rest

From insurance to underwriting, early adopters are achieving outcomes not through incremental gains, but by eliminating unnecessary work altogether. Built on SAP estates, agentic execution enables decisions, workflows, and actions to operate seamlessly across systems with governance embedded at runtime.

If your AI strategy is still focused on efficiency alone, you are solving the wrong problem.

Download the paper to understand what true AI transformation requires and how to start.