The successful implementation of AI in an organization depends not only on the quality of the models, but above all on the quality of the data on which those models are based.
At SAP Sapphire 2026, SAP introduced the SAP Business Data Cloud as a key component of its Autonomous Enterprise strategy. It is a data layer that provides a consistent business context and access to reliable information essential for the applications and AI agents operating within the organization.
What does that mean in practice?
- The development of agent-based AI should not begin solely with choosing a model or defining use cases.
- Preparing the data environment is equally important.
- The availability, quality, consistency, and appropriate business context of the data are of key importance.
Therefore, organizations planning to implement agent-based AI should first answer one question.
Is our data ready for AI?
If you're wondering where to start, please contact us. We'll help you assess the maturity of your data environment and identify the best starting point.
