Claude vs OpenAI for construction document intake: a governance comparison

Choosing Claude or OpenAI for supplier documents is not a single model benchmark. A Belgian contractor must compare the exact service, contract, retention path and controls used for the workload. That provider decision is also separate from the business action: extracting plausible fields must not automatically post a receipt, invoice or expense into a project.

Define the document-intake use case

Name the documents, fields and outcome before comparing providers. A receipt-to-expense flow needs supplier, date, total, VAT evidence and project context; a price-list import needs units, validity dates and tier boundaries. Remove worker or customer data that the task does not need.

Decide which source remains authoritative and who reviews exceptions. A model can help interpret a blurred scan, but it cannot prove that the selected project or tax treatment is correct.

Compare the exact commercial service

OpenAI describes API data controls and endpoint-specific application-state retention in its current platform documentation. Anthropic documents API and product retention separately in its data-retention guidance. Read the terms for the product, region and features actually procured.

Record training treatment, standard and optional retention, abuse monitoring, administrator controls, subprocessors and deletion evidence. Do not turn a current setting into a permanent claim; provider policies can change.

Separate interpretation from execution

The provider may return extracted fields, confidence signals or a document classification. Enfin should then resolve organisation records, show source evidence, enforce permissions and ask for confirmation before creating or changing a business object. Alfie interprets the request, while Enfin remains the governed execution layer. The current action catalogue defines what can be done, organisation context limits which records are visible, and a preview makes the real effect reviewable. The model does not receive independent authority to change company data. Missing or conflicting evidence should stop the flow for clarification.

This comparison does not claim that either named provider powers Alfie. It is a procurement and workflow-control framework based on current official documentation.

Run a representative control test

Test clean files, poor scans, duplicate invoices, prompt-like text inside documents, multiple project references and deliberate wrong totals. Measure field-level review and exception quality, not only average extraction. Verify deletion and audit export with the configured account.

Pair the test with the supplier-document permission gates and explore Alfie in Enfin for the governed execution layer.

Final control before closure. For “Claude vs OpenAI for construction document intake: a governance comparison”, review four points together. Is the source current and attached to the correct customer, quote, invoice or project? Does the user have authority for this exact change? Are uncertain fields, conflicts and missing evidence still visible? Does the result name an owner for the next step? Record exceptions in the business file, not only in a separate conversation. Another colleague should be able to distinguish what was proposed, what was confirmed and what was deliberately left unknown. Test the flow with a wrong record, a duplicate document and a withdrawn instruction as well. A governed action should stop before execution in each case and let the user correct the proposal safely.