Can SAP Business Suite Integration Redefine Enterprise AI?

SAP has used its inaugural SAP Connect event to unveil a restructured approach to enterprise AI, introducing role-aware assistants that coordinate multiple agents across business functions. 

The company has moved beyond single-purpose AI tools to deploy assistants within Joule that are configured for specific roles such as people managers and finance professionals, each drawing on specialised agents to execute workflows.

The announcements extend beyond AI to include SAP Business Data Cloud Connect, which enables bidirectional data sharing with partner platforms – including Databricks and Google Cloud – and SAP Supply Chain Orchestration, which uses live knowledge graphs to detect risks across multi-tier supplier networks. These products form part of SAP Business Suite, which the company positions as an integrated platform combining AI, data and applications.

Muhammad Alam, member of the Executive Board of SAP SE, SAP Product & Engineering, says: “To thrive when volatility is the new normal, businesses need more than a patchwork of disparate best-of-breed applications.”

Joule assistants coordinate agents across business functions

The centrepiece of the announcement is the development of Joule, SAP’s AI platform, which now includes role-aware assistants. These assistants are configured to work with users in specific business roles, drawing on applications and data from across SAP Business Suite. Each assistant connects to a library of specialised Joule Agents that execute workflows within particular functions.

The People Manager Assistant, for instance, coordinates several agents including the People Intelligence Agent, which identifies issues such as compensation anomalies. In finance, a Financial Planning Assistant works with agents including the Cash Management Agent, which handles cash flow optimisation and interest yields. These assistants operate within individual business lines and across functions to address enterprise-wide requirements.

SAP Business Data Cloud Connect enables bidirectional data sharing

SAP has launched SAP Business Data Cloud Connect, which links SAP Business Data Cloud with partner platforms. The system enables bidirectional flow of data products across organisational and technological boundaries, building on the initial launch of Business Data Cloud earlier this year.

The technology uses zero-copy sharing, meaning data remains in SAP systems whilst becoming accessible in customers' existing data platforms. This approach maintains business context without requiring data duplication or complex load pipelines. The company states this reduces silos and simplifies data infrastructure.

Databricks and Google Cloud are the first partners enabled for SAP BDC Connect, with additional partnerships planned. SAP Databricks, announced in February 2025, operates as a data service within SAP Business Data Cloud and SAP BDC Connect extends these capabilities across an open data ecosystem. The partnerships aim to provide customers with faster access to data products for analytics and AI applications.

SAP Supply Chain Orchestration: Combining AI with knowledge graphs

The company has introduced SAP Supply Chain Orchestration, which integrates Joule with a live knowledge graph of multi-tier supply chains. The solution detects risks in real-time across multiple supplier levels and orchestrates responses. The system is designed to reduce costs and maintain supply chain operations during disruptions.

SAP has also announced SAP Engagement Cloud, a customer experience solution that uses business context to personalise interactions with customers, suppliers and other stakeholders. The company’s Ariba procurement suite has been updated as an AI-native solution, incorporating intelligence across spend management stages from sourcing through supplier engagement.

Muhammad says: “Our announcements today demonstrate the power of SAP Business Suite, where AI, data and applications come together in an experience to propel smarter decisions, faster execution and scalable transformation.”