- Procurement / Public sectorIndustry
- Government & bidding teamsClient
- AI AgentsCategory
- Fast to valueTime to impact
The challenge
- Evaluating public tenders means reading every proposal against a dense set of rules, by hand.
- It is slow, inconsistent between reviewers, and easy to miss a disqualifying detail.
Checks bids against the tender rules, flags what is compliant and what is not, and scores each proposal.
An agent for public procurement that reads a tender and the proposals submitted against it, checks each one for compliance with the rules, flags what aligns and what does not, and scores them. It works for the entity running the tender or anyone bidding into one.
What we built
- 01Reads the tender and its rules.
- 02Checks each proposal for compliance, point by point.
- 03Flags what aligns with the rules and what does not.
- 04Scores and ranks the proposals.
How it works
What it can do
Rule compliance
Checks each bid against the tender rules.
Alignment flags
Shows what is compliant and what is not.
Proposal scoring
Scores and ranks each proposal.
Two-sided
For the entity running the tender or those bidding.
Who stays in the loop
The call the system deliberately does not take, and what the person is given to take it with.
An agent for public procurement that reads a tender and the proposals submitted against it
The evaluation panel
Decidesthe award, and every disqualification
Seeseach compliance flag against the clause of the tender it was checked on, and the score it produced
The payoff
What is different once it is running. No invented numbers: these are the changes the work was built to make.
Every proposal checked against the tender rules and scored, instead of a manual read-through of hundreds of pages.
Consistent evaluation across every proposal.
Disqualifying details caught early.
Hours of manual reading replaced by a scored shortlist.
Built with
The layers this runs on, from what comes in to what it plugs into.
- Data in
- Document parsing
- Model layer
- LLM
- Runs on
- Agentic workflow
Common questions
The same answers as above, written out.
An agent for public procurement that reads a tender and the proposals submitted against it, checks each one for compliance with the rules, flags what aligns and what does not, and scores them. It works for the entity running the tender or anyone bidding into one.
Evaluating public tenders means reading every proposal against a dense set of rules, by hand. It is slow, inconsistent between reviewers, and easy to miss a disqualifying detail.
Load the tender and the proposals. The agent checks each against the rules. It returns compliance flags and scores.
The evaluation panel decides the award, and every disqualification. They see each compliance flag against the clause of the tender it was checked on, and the score it produced.
Data in: Document parsing. Model layer: LLM. Runs on: Agentic workflow.
Consistent evaluation across every proposal. Disqualifying details caught early. Hours of manual reading replaced by a scored shortlist.
Where this fits
The practice it belongs to, how an engagement like it runs, and what we have written about the subject.
- Procurement
- Public sector
- Compliance
- Agents
- Procurement / Public sector
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