AI Act evidence in B2B sales: answering customer questions quickly and verifiably
Updated: 2026-10
Enterprise customers and tenders increasingly ask how AI features are classified under the AI Act. Providers that have already documented classification, reasoning and status per feature answer these questions in minutes instead of days and build trust in the sales process.
Procurement, data protection and compliance at larger customers want answers about AI features: what risk class does the system have, what role does the vendor play, which transparency measures exist, how is human oversight enabled? Without prepared material, every request lands with engineering or management and delays the deal.
At the same time the questions are similar from customer to customer. Working out the answers once in a structured way lets you reuse them again and again — provided they are current and verifiable.
How it works
- 01
Classify AI features
Classify every AI feature in the product under Article 6 and record the reasoning with legal citations.
- 02
Create a report
Export the classification as a white-label report in your own branding, suitable for customer documentation and tenders.
- 03
Share the status
Share the current compliance status with customers via a verifiable public URL instead of emailing documents.
- 04
Keep it current
Update the classification in the workspace when features or models change, so report and status stay accurate.
Why it fits here
Verifiable public URLs let you demonstrate compliance status to customers with one click, and white-label PDF reports fit into proposal and tender documents.
Classification under Article 6 with legal citations makes answers evidenced rather than asserted. How to determine your own role as provider is described in the glossary entry on provider and deployer.
FAQ
Is a report enough as evidence for customers?
It is a structured, traceable basis. For high-risk systems the AI Act additionally requires a conformity assessment; for most AI features in SaaS products a documented classification with transparency measures is sufficient.
What if a model changes?
Then the classification should be reviewed and the status updated. Through the public URL, customers always see the current state.
Does this help with public sector tenders too?
Yes. Public buyers increasingly ask about AI use and risk classification; an audit-ready report answers these questions in a structured way.
AI Risk Check
Verifiable public URLs let you demonstrate compliance status to customers with one click, and white-label PDF reports fit into proposal and tender documents.
Classification under Article 6 with legal citations makes answers evidenced rather than asserted. How to determine your own role as provider is described in the glossary entry on provider and deployer.