SAP announced this week that it plans to make new sustainability AI agents generally available by the end of 2026, expanding its push toward what it calls the autonomous enterprise. The company said the agents are currently in beta and are already helping customers cut review time and reduce manual work in compliance and reporting tasks.
Beta results include faster reviews and fewer errors
According to SAP, organizations using the beta agents have seen a greater than 50% reduction in packaging compliance review hours, scenario simulation time cut from a day to 20 minutes, up to 80% less manual GHS classification effort, and more than 20% fewer packaging compliance errors.
The tools are designed to handle multi-step workflows that often move between sustainability, finance, procurement, supply chain, operations and workplace safety teams.
What the new agents do
SAP outlined five sustainability AI agents that are meant to work inside its software environment and support transaction-level decisions.
- Regulatory Readiness Agent: Helps map materiality assessments to reporting scopes and disclosure requirements, including support for upcoming rules such as the Corporate Sustainability Reporting Directive, or CSRD.
- Footprint Optimization Agent: Brings together carbon, energy and waste data from Scope 1, 2 and 3 sources, then runs simulations to compare reduction options.
- Packaging Compliance Agent: Interprets packaging rules, starting with the Packaging and Packaging Waste Regulation, and checks supplier and product documentation for completeness.
- GHS Classification and Labeling Agent: Applies Globally Harmonized System rules to support classification and labeling workflows.
- Workplace Safety Agent: Reviews safety observations and proposes follow-up tasks, risk assessments and updated instructions.
Embedded in SAP systems
SAP said the Regulatory Readiness Agent works inside SAP Sustainability Control Tower and the broader SAP landscape, with the aim of keeping reporting scopes aligned to policy and data traceable. The company said the Footprint Optimization Agent can reduce scenario simulation time from approximately one day to about 20 minutes.
For packaging compliance, SAP said the agent can turn scattered documentation into an auditable record for each SKU, shipment and product run. The company said that approach can reduce manual compliance review hours by more than 50% and cut packaging compliance assessment errors by more than 20%.
The GHS tool is intended to automate data collection and propose classifications and label elements, with SAP saying it can reduce manual effort by up to 80% and lower labeling and classification errors by 60%.
Why SAP is focusing on sustainability automation
SAP said sustainability data needs to move beyond reporting and become part of operational decision-making. The company argued that transaction-level data is necessary for compliance, carbon and cost control, product marketability and supply chain transparency.
In SAP’s view, autonomous enterprise systems require three things: business context, connected data and governance. The company said its ERP foundation and process expertise allow sustainability AI to operate with those controls in place.
For now, the agents remain in beta, with general availability planned by the end of 2026. SAP said the goal is to embed sustainability decisions directly into enterprise workflows rather than leave them as separate reporting tasks.