SAP AI Transforms Sustainability to Profit

SAP AI Transforms Sustainability to Profit

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SAP has introduced a strategy to integrate ESG considerations into core business operations using advanced AI, marking a significant step towards corporate sustainability.

The move is expected to transform organizations’ approach to sustainability, transforming it from a mere compliance exercise to a driving force for innovation, resilience, and growth.

SAP is integrating fragmented sustainability data into customer stories, overcoming constraints, and preparing for an “agentic AI future” where intelligent systems can optimize sustainable practices.

The first wave of SAP Business AI capabilities dedicated to sustainability is set to roll out in beta starting August 2025. These AI-driven innovations will be seamlessly integrated within key sustainability applications, empowering customers to prepare their data, automate complex processes, and amplify their expertise across environmental, health, and safety (EHS) and product compliance workflows.

The expected outcome is measurable and scalable impact, streamlining operations and fostering significant improvements in sustainability performance.

In 2025, SAP will launch the SAP Sustainability Control Tower as an intelligent application within SAP Business Data Cloud, offering consistent reporting, deeper insights, and smarter decision-making across enterprises.

SAP plans to introduce new sustainability data products in 2025, including SAP EHS Management, SAP S/4HANA, and SAP Sustainability Footprint Management for product compliance.

SAP customers are utilizing business AI solutions like SAP Sustainability Control Tower, SAP Sustainability Footprint Management, and SAP Green Token to reduce costs, mitigate risks, and improve business performance in areas like reporting, carbon management, circularity, and regulatory compliance.

SAP plans to integrate sustainability impact metrics into its Signavio Process Transformation Suite, offering pre-built models and industry best practices for regulatory-specific use cases.

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