SAP Discusses AI Governance for Profit Margins

SAP's Global President of Customer Success, Manos Raptopoulos, asserts that effective enterprise AI governance is crucial for maintaining profit margins by replacing statistical guesses with deterministic control. As organizations increasingly deploy large language models, the focus has shifted to precision, governance, and tangible business impact. Raptopoulos warns that failing to govern AI systems like human workers can expose organizations to significant operational risks, necessitating strict management of agent lifecycles and data quality. He emphasizes that true enterprise intelligence must be grounded in proprietary data to outperform generic models, and that the transition to generative user experiences requires trust and role-specific AI personas to enhance employee interaction.