8 Sourcing Management AI Agents, Live in Production.

A sourcing exercise is usually decided long before the quotes are compared. The RFQ goes out with a requirement nobody thought to state, so each supplier prices its own reading of the scope. Responses arrive as attachments across a dozen email threads, and collecting them into one place is itself a day of work. Mandatory requirements get checked informally, or late, or only against the suppliers someone already had doubts about. By the time the evaluation meeting sits down, the criteria are being written to fit the responses in front of it — which is how a process that is structured on paper produces a decision that cannot be explained to the supplier who lost.

These eight agents put the standard in place before the responses do. RFQ Creation turns an informal request into a publishable document built from your own approved format and names the missing detail first; RFQ Screening Rules then writes the pass/fail gates and weighted criteria the responses will be judged by, and says plainly which of them cannot be scored as written. RFQ Broadcast drafts the covering email for each supplier it recommends and lists the ones it excluded with a reason, holding every message for approval. As responses land, RFQ Response Intake organises each submission and records which required documents never came, RFQ Response Screening stops the non-compliant at the gate, and RFQ Screening Compiler and RFQ Response Evaluation score what remains against the same weighted model, criterion by criterion, with an export the evaluation record can be built from. Procurement Policy Advisor runs alongside all of it, answering a buyer’s policy question with the clause it relied on quoted, and handing over to a person when the policy does not actually settle the question. The award stays a commercial judgement — what changes is that it now has to be argued against a record.