CDP, the global environmental disclosure system, has launched a new artificial intelligence feature designed to assist organisations in completing their environmental reporting requirements more efficiently. Developed in collaboration with sustainability AI specialist Briink, the “Suggested Response” tool automatically analyses existing corporate documents—such as annual and sustainability reports—to extract data and draft answers directly within the CDP platform.
The feature aims to reduce administrative burdens while maintaining the rigour and comparability of CDP’s dataset. During early market testing, participating organisations reduced response preparation time by an average of 40 per cent, whilst increasing completion rates by 25 per cent and improving response depth and coverage by 60 per cent. Nearly 800 CDP customers have already been granted early access to the tool as part of the 2026 Disclosure Cycle, ahead of a wider global rollout.
The tool remains entirely optional for reporting entities, with organisations retaining full responsibility for reviewing, editing, and submitting their final disclosures. CDP emphasized that the deployment of AI is guided by principles of responsible innovation, intended to support human judgement rather than replace it.
Sherry Madera, Chief Executive Officer of CDP, stated that the tool represents the next phase in simplifying reporting at scale, enabling companies to extract greater value from Earth-positive decision-making.
Antonia Wanner, Chief Sustainability Officer at Nestlé, noted that the time savings will allow teams to focus more attention on driving practical impact, whilst Matthias Berninger, Executive Vice President at Bayer AG, added that eliminating routine administrative work makes disclosure an even more effective tool for advancing corporate transformation.
Tomas van der Heijden, Chief Executive Officer and Co-Founder of Briink, underscored that AI should lift reporting burdens so sustainability teams can devote more time to improving actual environmental performance.
