Environmental Product Declarations (EPDs) are becoming an essential requirement for businesses across industries. From construction materials to consumer goods, EPDs provide a transparent, standardized report on the environmental impacts of a product throughout its lifecycle.
But creating an EPD is no small task. It requires accurate Life Cycle Assessment (LCA) data, rigorous compliance with ISO and EN standards, and a reporting process that can withstand third-party verification. For small teams, this process has traditionally been time-consuming, resource-heavy, and costly.
That’s where artificial intelligence (AI) is reshaping the landscape. By automating key steps in the EPD workflow, AI makes it possible for lean teams to produce high-quality, compliant EPDs at a fraction of the typical time and cost.
EPDs give companies a competitive edge in markets where sustainability transparency is increasingly demanded. They:
For companies of all sizes, EPDs are both a compliance need and a strategic opportunity. The challenge is execution—until now.
Collecting product and supply chain data is one of the hardest parts of producing an EPD. AI tools can gather, validate, and standardize input data from multiple sources automatically, cutting down the manual work required. For example, AI can align data from suppliers, internal databases, and public datasets into one coherent framework.
Since every EPD is based on an underlying Life Cycle Assessment, AI accelerates the modeling process by running complex calculations in minutes. It can also identify gaps and inconsistencies in input data, making sure the LCA is accurate and audit-ready before submission.
Adhering to ISO 14025, EN 15804, and industry specific Product Category Rules (PCRs) have historically been a heavy lift for small teams. AI-powered platforms guide users through compliance requirements, flag potential errors, and ensure that the EPD format is ready for verification.
AI can generate EPD reports in standardized formats required by industry bodies and stakeholders. This includes producing documentation that is ready for third-party review, while also creating customer-facing versions that highlight sustainability benefits in more accessible language.
Instead of treating each EPD as a months-long project, AI enables small teams to scale the process across multiple product lines. Once data structures and workflows are in place, generating additional EPDs becomes dramatically faster—unlocking efficiency that was once only available to large corporations.
LCA and EPD Tools that are pre-verified with EPD Operators make the process more seamless, and reduce costs. Selecting a tool that has been verified is therefore an important consideration.
Consider a building materials company with a sustainability team of three. Without AI, producing a verified EPD for even one product could take several months and tens of thousands of dollars. With an AI-powered platform, that same team can generate multiple EPDs in a fraction of the time—expanding market opportunities, meeting compliance requirements, and demonstrating leadership in sustainability.
The demand for EPDs is growing fast. Green building certifications, carbon disclosure regulations, and customer expectations are making them non-negotiable in many industries. By adopting AI-powered tools now, small and mid-sized companies can get ahead of compliance demands while showcasing transparency to customers and stakeholders.
CarbonBright’s AI-powered platform makes it faster and easier to produce accurate, compliant, and audit-ready Environmental Product Declarations (EPDs). By automating data collection, streamlining LCA modeling, and simplifying report generation, CarbonBright empowers even small teams to deliver enterprise-level sustainability reporting—without enterprise-level costs.
Backed by third-party verification with trusted EPD Operators, every declaration produced with CarbonBright meets the highest standards of accuracy and compliance.
Ready to scale your EPDs? Contact CarbonBright today to get verified.