SAP: How enterprise AI governance secures profit margins

According to SAP, enterprise AI governance secures profit margins by replacing statistical guesses with deterministic control.

Ask a consumer-grade model to count the words in a document, and it will often miss the mark by ten percent. Manos Raptopoulos, Global President of Customer Success Europe, APAC, Middle East & Africa at SAP, observes that the operational gap between near-perfect and perfect is absolute.

“The distance between 90% and 100% accuracy is not incremental. In our world, it is existential,” notes Raptopoulos.

As organisations push large language models into production environments, Raptopoulos emphasises that the evaluation criteria have formally transitioned toward precision, governance, scalability, and tangible business impact.

The pressing challenge facing corporate boards centres on the evolution from passive tools to active digital actors, a transition Raptopoulos identifies as the primary governance moment and will be among the topics that SAP will be focusing on at this year’s AI & Big Data Expo North America.

Agentic AI systems now possess the capability to plan, reason, orchestrate with other agents, and exec...