Getting a carbon footprint fast is now the easy part. Getting one a customer or an auditor will accept is a different problem. Our three AI layers calculate from messy source data, show their work, and run inside the tools teams already use, with a human in the loop. This article shows what the agents do, what the assistant resolves, and what still needs review to make the result defensible.

Buyers and regulators now ask for product-level emissions, but manual LCA takes weeks per product. Our platform calculates auditable, ISO 14067 and PACT-compliant PCFs straight from a BoM, with first results in minutes. This article shows how that works: the data you need, what AI automates, and what still needs review.

We are reaching a huge milestone in embedding our carbon engine into AI and agentic workflows. Our PCF platform is now a Model Context Protocol (MCP) server, so the AI agent you already work with can upload a bill of materials, run the calculation, model decarbonisation scenarios, and draft an ISO 14067 or PACT Pathfinder report, without leaving your workflow. Every result passes an independent safety check, with source and confidence on every value, so you get a defensible footprint, not a guess. Agent-native PCF is available now: install in Cowork or connect via MCP.