SAP Business AI Platform takes focus after cloud revenue jump

SAP used its Q2 earnings call to put the SAP Business AI Platform at the center of its enterprise strategy, after reporting cloud revenue growth of 24% and total revenue of $11.24 billion, up 11%. CEO Christian Klein said ERP migrations helped drive the cloud performance, while services revenue slipped slightly as SAP moves consultants toward building agents and supporting AI adoption.

The message to customers and investors was direct: SAP wants its next growth phase tied to AI agents embedded in enterprise workflows, not only to cloud migration. Klein described the company’s “autonomous enterprise” plan as one built around AI agents that can run business processes across functions while keeping humans involved. That is SAP’s claim, and the company did not provide a separate revenue figure for Business AI.

What is SAP Business AI Platform?

SAP Business AI Platform is the enterprise AI offering SAP introduced at its Sapphire conference in May. It includes Autonomous Suite, which runs on top of the platform and brings AI agents into existing SAP business applications to automate end-to-end processes.

Klein argued on the call that many large language models still fall short for enterprise use because they do not understand business data, processes or governance. He also pointed to concerns about AI token spending, dependence on a single frontier model provider and AI sovereignty. Those concerns are familiar buying criteria for large SAP customers, particularly in regulated sectors and multinational deployments.

SAP is trying to make its data position the core advantage. Klein cited the company’s recent acquisitions of data lakehouse platform Dremio and data management provider Reltio as part of the plan to combine SAP and non-SAP data, govern that data and manage agents across company workflows. The strategic point is clear enough: SAP wants the enterprise system of record to become the control plane for agentic software.

The company is also leaning on large infrastructure and data partners rather than presenting the platform as a closed stack. SAP has expanded work with Google Cloud and Microsoft around agent-to-agent interoperability, according to the company. It has also broadened its Snowflake partnership to support data integration with SAP Business Data Cloud, and Nvidia is involved in providing a security layer by embedding OpenShell for SAP AI agents in SAP Business AI Platform. SAP also announced a connection between SAP Business Data Cloud and Google Cloud’s BigQuery data warehouse.

For buyers, the practical question is whether SAP can make agents useful inside business processes without creating another layer of AI cost and vendor complexity. The company’s pitch is that its knowledge of enterprise data and workflows gives it a better starting point than general-purpose model vendors. SAP has not said how much of its Q2 growth came from AI products specifically, which leaves the current financial impact unclear.

SAP is applying the same AI push internally. Klein said the company is hiring AI talent and retraining existing staff through code camps and in-person programs, with a goal of reaching more than 90% of employees over the next few months. In engineering and technology, he said SAP is shifting its operating model from conventional software development toward building AI at scale.

This story draws on original reporting from CIO Dive.