SAP Receives Responsible AI Impact Award

This year's London Climate Action Week was less about reaffirming action and more about accelerating implementation. Europe's largest climate protection event took place for the seventh time and brought together political decision-makers, investors, NGOs and technology experts to accelerate the implementation of the plans of the World Climate Conference (COP30) in Belém (Brazil).

SAP works with customers to bridge the gap between macro-level climate finance and operational decisions. With SAP systems, it is possible to combine environmental data with financial and risk metrics so that sustainability reporting not only serves compliance but also demonstrates value creation. The importance of green bonds for financing climate adaptation is increasing. And companies that can combine site-specific risks with capital expenditure planning will have better access to funding sources.

SAP wants to help customers identify the hidden costs of climate shifts - be it increased cooling, transportation volatility or water scarcity - and link them to the impact on the bottom line. The result is a more compelling business case for assessing investments in resilience and more relevant data for financial partners.

Digital innovation and AI

Numerous events focused on how digital technologies can advance climate action. SAP and other sustainability leaders highlighted how AI is enabling everything from emissions forecasting to supply chain optimization, while digital twins are helping companies and cities simulate disruption, model trade-offs and optimize resources in real time.

The focus here is on responsible AI. At London Climate Action Week, the non-profit organization SustainableIT.org received the "Responsible AI Impact Award" for its cross-departmental work aimed at integrating ethical and human-centric AI into business systems to achieve results that are not only efficient, but also fair and sustainable. This approach follows SAP's global AI ethics guidelines, which are based on the Unesco recommendations on the ethics of AI. These guidelines form the basis for the development and deployment of AI in all of the company's sustainability and business solutions.

From insight to impact

London Climate Action Week 2025 made one fact unmistakably clear: climate leadership today depends on trustworthy data and innovative technology, with human-centric AI playing a key role. Throughout the various sessions, it was emphasized that AI and unified data serve as catalysts for climate progress - be it in capturing Scope 3 emissions or modeling extreme weather scenarios.

Sustainability data should be treated as first-class business data: SAP Green Ledger lists verifiable data on CO2 emissions and finances side by side. This turns emissions into traceable drivers of profit and loss. SAP Green Ledger, in combination with site-specific climate risk data, provides organizations with the ability to better understand the costs associated with disruption - from heat waves to resource scarcity - and align sustainability with business planning.

SAP Green Token uses AI to automatically analyze declaration images and process thousands of supplier documents. SAP Sustainability Footprint Management uses AI to quickly and accurately link emission factors to thousands of materials and optimizes their allocation within minutes. SAP Sustainability Control Tower now uses AI to facilitate the creation of ESG (environmental, social, governance) reports. The software uses best-practice templates to create engaging reports with data visualizations that stand up to audit scrutiny. This allows sustainability teams to focus on strategy. At the same time, they are able to ensure regulatory compliance more accurately and quickly.

SAP Sustainability Control Tower will become an intelligent application within SAP Business Data Cloud over the course of the year. This integration combines sustainability data and business processes on a single platform. This will enable consistent reporting that supports deeper insights and smarter decisions across the organization.

Source: SAP