CDP's AI-powered Suggested Response feature is designed to streamline one of the most time-consuming aspects of ESG reporting: preparing responses to environmental disclosure questionnaires. The feature analyzes an organization's existing corporate documents, including annual and sustainability reports, identifies information relevant to CDP's questionnaire, and generates draft responses directly within the disclosure platform. This enables reporting teams to retrieve, organize, and map existing information more efficiently while significantly reducing the manual effort involved in preparing disclosures. Importantly, the feature remains entirely optional. Organizations continue to be responsible for reviewing, validating, editing, and approving every response before submission. Rather than replacing professional judgment, the tool is intended to support reporting teams by improving efficiency while ensuring accountability remains firmly with the reporting organization. According to CDP, organizations that participated in early testing reported:
Around 40% reduction in disclosure preparation time.
Approximately 25% improvement in response and completion rates.
More comprehensive disclosure responses.
These early results suggest that AI can simplify disclosure preparation without compromising the rigor and reliability expected from sustainability reporting.
The introduction of AI into ESG reporting comes at a pivotal time. Organizations are navigating an increasingly complex disclosure landscape, balancing regulatory requirements, investor expectations, customer demands, and voluntary reporting frameworks while ensuring that sustainability information remains accurate, consistent, and decision-useful. For many businesses, the challenge is no longer collecting ESG data. Instead, it lies in managing growing volumes of information, identifying relevant disclosures, and preparing reports within increasingly compressed timelines. AI-powered reporting tools have the potential to ease this burden by automating repetitive tasks such as document review, information retrieval, and response drafting. This enables sustainability teams to redirect their efforts toward activities that create greater strategic value, including strengthening data quality, improving governance, assessing sustainability risks, and supporting informed business decisions. The competitive advantage in ESG reporting will increasingly come not from collecting more data, but from managing existing data more intelligently. Organizations that can streamline reporting workflows while maintaining data integrity will be better positioned to respond to evolving stakeholder expectations and regulatory requirements.
As artificial intelligence becomes more integrated into sustainability reporting, governance will become even more important. Environmental disclosures are relied upon by investors, regulators, lenders, customers, and other stakeholders to evaluate an organization's sustainability performance and long-term resilience. While AI can accelerate reporting workflows, organizations remain fully accountable for the accuracy, completeness, and integrity of every disclosure they publish. To use AI responsibly, organizations should establish clear governance practices, including:
Validating AI-generated responses against reliable source documents.
Maintaining robust ESG data management and internal review processes.
Ensuring appropriate management oversight before disclosures are submitted.
Maintaining transparent records that support auditability and stakeholder confidence.
Technology can improve reporting efficiency, but credibility will continue to depend on robust governance, reliable data, and informed human judgment.
Successfully adopting AI in sustainability reporting requires more than implementing new technology. It begins with building strong reporting foundations that enable organizations to use AI effectively, responsibly, and at scale. Cognitud helps organizations strengthen these foundations by developing ESG strategies, conducting materiality assessments, improving reporting readiness, and aligning disclosures with globally recognized sustainability frameworks. Through robust governance structures, streamlined reporting processes, and reliable ESG data management, we help organizations build reporting capabilities that are accurate, transparent, and future-ready. As reporting expectations continue to evolve, Cognitud partners with organizations to transform sustainability reporting from a compliance exercise into a strategic business capability; enabling businesses to strengthen stakeholder confidence, improve decision-making, and create long-term value.
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Abhigyan Gupta
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CDP (formerly the Carbon Disclosure Project) is a global non-profit organisation that operates one of the world's leading environmental disclosure systems. It enables businesses, cities, states, and regions to report data on climate change, water security, and forests. Investors, customers, and regulators use CDP disclosures to evaluate environmental performance, identify risks, and measure progress toward sustainability goals.
AI has the potential to support sustainability by improving resource efficiency, enhancing ESG reporting, and enabling better environmental decision-making. However, AI models also consume significant computing power, electricity, and water during training and operation. Whether AI is environmentally sustainable depends on factors such as energy efficiency, the use of renewable electricity, and responsible deployment that delivers environmental benefits greater than its resource consumption.
Businesses can reduce the environmental impact of AI by using energy-efficient models, selecting cloud providers powered by renewable energy, optimising computing resources, minimising unnecessary model training, and monitoring the carbon footprint of AI workloads. Combining responsible AI practices with strong sustainability governance helps organisations maximise AI's benefits while reducing its environmental impact.
A CDP score measures how effectively an organisation manages and reports its environmental impacts. Companies are assessed on the quality, completeness, and transparency of their disclosures, as well as their environmental governance and performance. Scores range from D- to A, with an A score recognising organisations demonstrating leadership in environmental transparency and climate action.
AI is helping organisations streamline sustainability reporting by analysing ESG documents, extracting relevant information, identifying data gaps, and generating draft disclosure responses. This reduces manual effort, improves reporting consistency, and allows sustainability teams to focus on strategy, data quality, and governance while maintaining human oversight over final disclosures.
