AI in your tender
Specifying automation without tying yourself to one supplier, or to nothing
Free · playbook · 12 pagesAn afternoon, together with your procurement adviser
You put AI and automation into a set of requirements in a way that tells suppliers apart, instead of letting all of them say yes.
The document is in Dutch.
Why you won't find this anywhere else
The problem with AI in a tender is not that it is hard to describe, but that every standard wording gets a yes from every supplier. This playbook gives you requirements that don't: requirements that ask for evidence instead of a promise. Written from the bidding side, where you can see which requirements actually filter.
What's inside
- Eight pairs: the standard wording on the left, the version that asks for evidence on the right, ready to copy
- Four requirements you always include, with the wording: human oversight, traceability, transferability and exit
- A case set-up for awarding on quality: ask for a scenario with an error in it and assess how it is recovered
- Four ways a tender accidentally filters out innovation, and what to do instead
- Where the playbook stops and the procurement adviser takes over
Who it's for
- Municipalities, education, healthcare and public service providers
- Buyers and programme managers preparing a tender
- Organisations that want to tender for AI without creating supplier lock-in
Not for anyone looking for procurement law advice. The legal review belongs with the procurement adviser.
What this document doesn't solve
The tender gets sharper. Whether the assignment itself is well framed, which problem you are actually solving, is not in it, and that decides the outcome more than the requirements.
That's what the AI Opportunity Audit is for: we map your processes, show where AI and automation deliver the most, and set out what to do first.
See the AI Opportunity Audit