SAP Puts AI Products Under CEO and COO Control

SAP, Europe's largest software company, has carried out its second major reshuffle of top management in 2026, placing direct control over AI products under the CEO and Chief Operating Officer.

What happened to SAP's leadership

This is the second reallocation of product and engineering responsibilities at SAP in a year — and both times, artificial intelligence has been at the center of the reorganization. When a company reorganizes its leadership once a year, that can be written off as turnover. When it does so twice in a row around the same subject — that's already a strategy. For SAP as an enterprise software vendor, such reshuffles at the top management level are rare precisely because of the company's scale: any change in responsibility zones affects product lines used by thousands of corporate clients worldwide.

• SAP is described as Europe's largest software company.
• In 2026, the company has reorganized top management for the second time.
• Both times, AI products have been at the center of the changes.
• Oversight of AI products now passes directly to the CEO and COO.

Why the reorganization is being carried out a second time in a year

A repeated restructuring of responsibility zones over a short period typically signals that the first version of the structure did not work as the company intended. The fact that both times the changes involve the AI division suggests that SAP is still looking for an organizational model in which AI product development proceeds fast enough for the enterprise software market. A one-time leadership reshuffle is usually explained by routine HR reasons, but repeating the same step within one year with the same focus — that's no longer turnover, but an acknowledgment that the first attempt to organize AI management did not yield the desired results.

What changes in AI product management

Placing AI product oversight directly under the CEO and COO means eliminating the intermediate management layer between company strategy and development of specific AI features. Previously, such decisions might have gone through separate product and engineering leaders — now they go straight to the top of SAP, which speeds up decision-making but simultaneously places additional operational burden on top management.

What this means

For a large enterprise vendor like SAP, placing AI products under direct control of top executives is a signal that the topic is too important to delegate to a lower management level. It also means that product strategy decisions in the AI domain will now be made faster and with fewer intermediary levels, and responsibility for the success or failure of SAP's AI direction now rests directly with its leadership.