A customer asks for your product’s carbon footprint. Build an answer you can reuse.

When another customer asks for your product’s carbon footprint, your team should not have to rebuild the supporting records from scratch. Connect one product family’s material revisions, supplier evidence and approved emissions-factor mappings once. The next request then starts with evidence you can reuse, and anything that changed goes to fresh review.

An ontology is a shared business model that defines your records, how they relate and which actions are permitted around them. For carbon-data requests, Functional AI Solutions (FAIS) models which materials belong to which product revision, which supplier records support them and who approved each factor mapping.

What does a reusable carbon answer give you?

• Less re-entry and chasing. Each supplier declaration is linked to the materials and revisions it supports. Your coordinator retrieves it instead of searching inboxes again.
• Faster, more consistent customer responses. Approved factor mappings and their rationale stay attached to each material. Two customers asking about the same revision get answers built from the same reviewed inputs.
• More value from your ERP and document systems. You do not replace your ERP. Connectors read the bill of materials from it and supplier documents from your repository, and both remain the source of truth. The ontology links their records instead of copying them into another spreadsheet.
• A reusable foundation for future agents. An agent asked for the evidence behind a product revision works from defined relationships and recorded approvals, not loose files.

Connected records also reduce the risk of AI giving confident wrong answers. SAP’s September 29, 2026 Climate Week feature by Monica Molesag argues that AI can go wrong when sustainability data sits apart from procurement, manufacturing and finance. For example, it can recommend a lower-carbon supplier that is not approved for the market in question. The same feature describes industrial manufacturer HARTING connecting its sustainability data to the systems it already runs. HARTING moved product carbon footprint calculations from manual work to AI-assisted mapping across its material portfolio.

Before and after: a connector request in Taiwan

Consider a Taiwan maker of industrial cable connectors, an illustrative scenario and not a customer case. A European distributor asks for the carbon footprint of an M12 connector, revision C. Last quarter, another customer asked about revision B.

Before, the sustainability coordinator exports the bill of materials from the ERP. The coordinator searches email for the brass and PA66 suppliers’ declarations and asks engineering whether the contact plating changed between revisions. The sustainability manager then reconstructs why each emissions factor was chosen for revision B.

After, the request is logged against revision C. An automation reads the bill of materials from the ERP, retrieves linked supplier declarations from the document repository and compares revision C with revision B. Unchanged materials arrive with their approved mappings. The changed plating goes to the sustainability manager for review, and the product compliance lead approves the calculation and external release.

Agree the product scope early. The GHG Protocol Product Standard covers individual-product emissions across raw materials, manufacturing, transportation, storage, use and disposal. A materials evidence package is therefore one input to the agreed calculation scope, not a complete footprint.

How FAIS connects the workflow

FAIS builds the shared business model and connects collection and review automation to it. Suitable connectors preserve the links back to each source record:

1. Link each product revision to its materials, quantities and units.
2. Link each material to applicable supplier/site evidence and approved emissions-factor mappings.
3. Record evidence versions, reporting periods, factor sources and versions, mapping rationale and reviewer decisions along that path.
4. Route missing evidence and unresolved mappings to their owners.
5. Release a versioned customer package with the request scope recorded and its supporting records still traceable.

When can you reuse supplier evidence?

Supplier evidence is reusable when it still applies to the new request. A qualified reviewer approves reuse when the material, supplier/site, period, units, methodological scope and permitted use still fit. Reusing an approved input and reusing a product total are separate decisions. Changed quantities, scope or methodology need a fresh calculation, even when most supplier evidence still applies. Build these change rules into review routing:

• Material, supplier, site or process changes: review affected evidence and mapping links.
• Superseded documents or revised factors: reassess affected approvals and calculations.
• Changed customer methodology: check whether existing evidence and mappings still fit.
• Changed material quantities: recalculate without recollecting unchanged supplier evidence.

Request fresh evidence where applicability or completeness is no longer clear. Check redistribution permissions before sharing supplier documents.

Prove reuse with one product family

Start with one product family, one real customer request and its supporting records. Agree the calculation scope, evidence owners and reviewer first. Measure staff preparation time separately from supplier waiting time. Count unresolved mappings with their reasons, and track which approved inputs carry into the next request and how long their review takes. Agree expansion criteria with the people doing the work.

If every carbon request in your business still starts with an inbox search, your most recent request is the right place to begin a conversation with FAIS.