Case Study: How EA Streamlined CDP Reporting with AI Automation
For many sustainability teams, the annual CDP reporting cycle is one of the most demanding periods of the year. Large organisations often spend hundreds of hours coordinating data, drafting responses, and ensuring consistency across complex disclosure requirements.
This case study examines how a leading global beverage organisation improved efficiency and control in its CDP process by adopting EA.
The Challenge: A Resource-Intensive CDP Cycle
Prior to implementing EA, the organisation’s CDP reporting process required over 500 hours of work across multiple contributors. The challenge was not only the volume of information required, but also the need to maintain consistent language, tone, and alignment with previous submissions.
Documentation was fragmented across annual reports, internal policy files, and supporting evidence, making synthesis time-consuming and error-prone.
The Solution: Automating CDP Drafting with EA
With Easy Autofill, the organisation introduced an AI-powered approach to CDP reporting.
The platform leveraged responses from previous years to generate drafts that maintained the organisation’s preferred structure and wording. This was particularly effective for complex “Comment” and “Please explain” sections, where EA helped rewrite and connect ideas clearly and consistently.
By centralising drafting, review, and approval in one platform, the team eliminated reliance on email-based collaboration.
Results: Measurable Efficiency and Improved Consistency
The benefits were both immediate and measurable:
- Approximately 20% time savings during the early stages of adoption
- Faster summarisation of large, fragmented evidence sources
- Greater consistency across narrative sections
- More reliable outputs than generic AI tools previously tested
EA also integrated CDP scoring criteria directly into the response context, enabling proactive identification of gaps and optimisation for higher grades.
Building a Sustainable CDP Reporting System
By maintaining an up-to-date repository of approved answers and evidence, the organisation reduced the need for repetitive manual oversight year after year. As CDP requirements continue to evolve, the ability to prepopulate responses and run scoring gap analyses has become a core component of the organisation’s disclosure strategy.
The shift to AI-powered reporting not only reduced administrative burden but also improved the overall quality and confidence of environmental disclosures.
Ready to Reduce the CDP Reporting Burden?
If CDP reporting is consuming hundreds of hours each year, EA can help you work faster and smarter.
Try EA for free today, or book a 15-minute demo to see how AI-powered CDP automation can support your sustainability team.