CDP’s New AI-Enabled Disclosure Tool for Streamlined Reporting

CDP introduces AI drafting tool for 2026 disclosure cycle

CDP has introduced an AI feature that drafts questionnaire answers using documents companies already publish. The tool, called Suggested Response, analyses annual reports and sustainability materials to propose responses inside the CDP platform. Companies can then review, edit, or reject what the system suggests.

The feature went live during the 2026 disclosure window. CDP developed it with Briink, a German firm that builds AI tools for ESG and climate reporting. Initially, access was limited to organisations that paid the Enhanced admin fee in 2025. However, CDP says availability will expand to more disclosers as the response period continues.

CDP describes the tool as optional. Responsibility for accuracy and completeness remains with the disclosing organisation. The system maps information from uploaded documents to relevant questionnaire sections. It then generates draft text that sits inside the platform for review.

Early testing involved nearly 800 CDP customers. Results showed disclosure preparation time fell by up to 40%. Meanwhile, response and completion rates rose by 25%. CDP also reports that response depth and coverage improved by 60% during trials.

The organisation has emphasised that the feature preserves rigour, trust, and comparability. These principles underpin CDP’s role as the world’s largest independent environmental disclosure system. Consequently, the AI layer is designed to reduce workload without compromising data quality or transparency.

How the system analyses documents and suggests answers

Suggested Response works by scanning unstructured files such as PDFs of annual reports or sustainability statements. The AI identifies passages that correspond to specific CDP questions. It then generates draft answers based on that content.

Once uploaded, documents are processed within the platform. The system highlights relevant text and places suggested responses in the appropriate sections of the questionnaire. Users see the draft alongside the original source material. This allows them to verify accuracy before accepting any proposed text.

CDP has built the tool to handle varied document formats. Companies often produce environmental data across multiple reports, frameworks, and audiences. Therefore, the AI attempts to pull together dispersed information and present it in a unified format that matches CDP’s structure.

Briink provided the underlying technology. The company specialises in AI applications for climate disclosure and regulatory reporting. Its systems are trained to recognise ESG terminology, data points, and reporting conventions. As a result, the tool can interpret narrative disclosures and quantitative tables without manual tagging.

The feature does not auto-submit responses. Instead, it populates draft fields that remain editable. Disclosers retain full control over what goes into their final submission. CDP’s help documentation confirms that organisations must review all AI-generated content before submission.

This design reflects CDP’s intention to assist rather than automate. The tool speeds up drafting but does not replace human judgement. Consequently, companies still need internal review processes to ensure accuracy and compliance with CDP’s reporting requirements.

Phased rollout limits initial access to paying customers

CDP rolled out Suggested Response in stages. The first phase targeted organisations that purchased Enhanced admin access in 2025. This created a paid tier for early adoption. Subsequently, CDP plans to extend availability to additional disclosers during the current response window.

The phased approach allows CDP to monitor performance and gather feedback before wider release. It also creates a commercial pathway for the feature. Enhanced admin customers gain early access as part of their service package. Other organisations will see the tool appear later in the cycle.

CDP has not disclosed pricing details for ongoing access beyond the initial Enhanced admin tier. However, the rollout pattern suggests the feature may become part of CDP’s standard platform over time. For now, availability depends on timing and service level.

This strategy mirrors how other disclosure platforms introduce new functionality. Early access goes to paying customers or pilot groups. Broader release follows once stability is confirmed. In CDP’s case, testing with nearly 800 organisations provided a substantial validation sample before general rollout.

The decision to launch mid-cycle suggests CDP wanted to offer relief during the 2026 reporting period. Many companies face tighter deadlines and expanded scope requirements this year. Therefore, a tool that reduces preparation time could ease pressure on sustainability teams managing multiple disclosure frameworks simultaneously.

Nevertheless, the phased rollout means some organisations will complete their 2026 submissions without access to the AI feature. Those preparing disclosures early in the window or outside the Enhanced admin group will rely on traditional manual methods. Consequently, adoption will vary across the CDP community during this transition year.

Testing results show faster completion and deeper responses

CDP’s pilot program delivered measurable improvements in both speed and quality. Preparation time dropped by up to 40% among test participants. This suggests the tool significantly reduces the hours required to draft responses. For teams managing tight deadlines, that time saving could prove substantial.

Completion rates also increased. CDP reported a 25% rise in response and submission rates during testing. This indicates the tool may help organisations finish questionnaires they might otherwise abandon. Lower burden often translates to higher participation, particularly among smaller companies or first-time disclosers.

Additionally, response depth and coverage improved by 60%. This metric suggests the AI helps companies provide more comprehensive answers. By scanning multiple source documents, the tool can surface relevant information that teams might miss when drafting manually. As a result, disclosures may become more thorough without requiring additional research effort.

These results matter for CDP’s strategic goals. The organisation wants to expand participation while maintaining data quality. A tool that makes disclosure easier without reducing rigour supports both objectives. Therefore, the pilot findings suggest Suggested Response could increase CDP’s reach and improve the consistency of submitted data.

However, pilot conditions may not reflect real-world use at scale. Test participants likely received support and guidance beyond what standard users will experience. Furthermore, the 800-organisation sample may not represent the full diversity of CDP’s user base. Smaller firms, non-English disclosers, and first-time participants could encounter different results.

CDP has not published detailed methodology for these performance claims. Metrics such as time saved and coverage improvement depend on how baseline performance was measured. Nevertheless, the reported figures indicate meaningful efficiency gains during controlled testing.

UK SMEs face growing disclosure expectations across multiple frameworks

• CDP operates the world’s largest independent environmental disclosure system, collecting data from thousands of organisations annually.
• The Suggested Response tool uses AI developed by Briink, a German ESG software firm specialising in climate-disclosure technology.
• Early testing involved nearly 800 CDP customers and showed preparation time reductions of up to 40%.
• Response and completion rates increased by 25%, while response depth and coverage improved by 60% during trials.
• Access began in June 2026 with a phased rollout prioritising organisations that paid the Enhanced admin fee in 2025.
• The feature remains optional, with companies retaining full responsibility for reviewing and submitting all answers.
• CDP emphasises that the tool preserves rigour, trust, and comparability in environmental reporting.

Implications for UK businesses managing environmental reporting

For UK SMEs, CDP disclosure often sits alongside other reporting obligations. Many organisations now respond to customer requests, tender requirements, and supply chain questionnaires that reference CDP scores. Therefore, reducing the time required to complete CDP submissions can free up capacity for other compliance tasks.

The AI tool may particularly benefit companies without dedicated sustainability teams. Smaller organisations often rely on finance or operations staff to handle environmental reporting. These teams typically juggle disclosure work with other responsibilities. Consequently, a feature that cuts drafting time by 40% could make CDP participation more feasible for resource-constrained businesses.

Supply chain pressure drives much of the SME engagement with CDP. Large corporations increasingly request environmental data from suppliers as part of their own Scope 3 reporting. A streamlined CDP process could help smaller suppliers respond to these requests more efficiently. This matters because failure to provide adequate environmental data can affect tender success and contract renewals.

However, the tool’s reliance on existing documentation assumes companies already produce suitable source material. Organisations without annual sustainability reports or detailed environmental disclosures may find less value in the AI feature. For these businesses, the bottleneck remains data collection rather than drafting. Therefore, Suggested Response addresses one part of the disclosure burden but not the underlying challenge of measurement and tracking.

UK businesses also face evolving regulatory requirements. Mandatory climate reporting expanded under the Companies Act 2006 requirements. Energy and Carbon Reporting obligations apply to many large companies and quoted entities. As regulatory scope widens, the volume of environmental data companies must produce increases. Tools that allow reuse of this information across multiple disclosure channels could reduce duplication and improve consistency.

The phased rollout means some UK organisations will access the feature sooner than others. Companies that invested in Enhanced admin access during 2025 gain early availability. Others will wait for broader release. This creates a temporary advantage for early adopters, who can streamline their 2026 submissions while competitors still use manual methods.

Cost considerations will matter for SMEs evaluating whether to pursue early access. Enhanced admin fees add to the existing cost of CDP participation. Businesses must weigh the time saving against the additional expense. For organisations with tight resources, the calculation depends on internal capacity and the value placed on faster completion.

The emphasis on human review remains critical. CDP has made clear that AI-generated responses require verification before submission. This means companies still need staff time to check accuracy, fill gaps, and ensure alignment with their actual environmental performance. Therefore, the tool reduces drafting effort but does not eliminate the need for subject matter expertise.

Disclosure automation raises questions about data quality and accountability

CDP’s careful positioning of Suggested Response reflects broader concerns about AI in environmental reporting. Automation can improve efficiency, but it also introduces risks. Inaccurate or misleading disclosures carry reputational and regulatory consequences. Therefore, CDP has emphasised that companies remain fully responsible for submitted content.

The tool’s design addresses some quality risks by keeping humans in the loop. Suggested responses populate as drafts rather than final answers. Users must actively review and approve content before it forms part of their submission. This structure preserves accountability while still offering time savings.

Nevertheless, reliance on AI-generated text could create new problems. Teams under pressure may accept suggested responses without thorough verification. If the AI misinterprets source documents or maps information to the wrong questions, errors could slip through. CDP’s guidance assumes rigorous internal review, but actual practice may vary across organisations.

Document quality also affects results. The AI performs best when source materials are clear, well-structured, and comprehensive. Companies with vague or incomplete sustainability reports may receive poor suggestions. This could widen the gap between sophisticated disclosers with strong existing documentation and smaller organisations still building their reporting capability.

The optional nature of the feature helps manage these risks. Companies uncertain about AI-generated content can continue using traditional methods. This allows organisations to adopt the tool at their own pace and comfort level. Over time, as confidence builds and performance evidence accumulates, usage may expand.

CDP’s partnership with Briink brings specialist expertise to the development process. Briink focuses specifically on ESG and climate disclosure, which means the AI is trained on relevant terminology and reporting standards. This targeted approach should reduce generic AI problems such as hallucination or inappropriate language. However, no system is perfect, and edge cases will inevitably arise.

Regulatory scrutiny of ESG claims continues to intensify. UK authorities are examining greenwashing and misleading environmental statements. Therefore, companies using AI tools must ensure their disclosures remain accurate and evidence-based. The convenience of automated drafting cannot override the fundamental requirement for truthful reporting.

Further reading and official guidance

CDP provides detailed documentation about Suggested Response in its help center. Organisations considering the tool should review this guidance to understand functionality, access requirements, and review responsibilities. The official resources explain how to upload documents, interpret suggestions, and manage draft responses within the platform.

Briink’s website offers additional context about the underlying AI technology. While the company focuses on commercial ESG software, its published materials describe how natural language processing applies to climate disclosure. This background may help users understand what the system can and cannot do.

UK businesses should also monitor government guidance on environmental reporting obligations. The Department for Energy Security and Net Zero publishes resources on climate disclosure requirements and net zero policy. Understanding regulatory expectations helps companies determine what information they need to produce, which in turn affects how useful AI drafting tools will be.

For organisations seeking support with carbon reporting and PPN 06/21 compliance, structured programs can help build the underlying data and documentation that tools like Suggested Response require. The value of AI assistance depends on having solid source material to work with.

Companies preparing for broader ESG disclosure should consider training on measurement and reporting standards. The SBS Academy offers courses on carbon accounting and sustainability reporting that build the foundational skills needed to manage disclosure obligations effectively, whether using AI tools or traditional methods.