Time to first review
Time to first review = first reviewer action time - request time, averagedShows how quickly requests get a human look. Compare urgent and routine requests to see if triage is working.
An AI request triage agent is software that sorts incoming procurement requests by urgency, risk and type, so the right request reaches the right person first.
A new request enters the shared queue.
The agent reads amount, category, vendor and stated deadline.
It ranks the request by urgency, risk and dependency.
It sorts the request into the right team queue with a reason.
A reviewer works the list from the top and can overrule the order.
Overrides are recorded so the ranking rules can be adjusted.
The request triage agent reads every procurement request as it lands and notes the requested date, value, vendor and any contract end date nearby. It applies the priority rules your team has defined, scores urgency, flags risk signals, sorts requests into queues and gives the requester guidance on what happens next.
Each request goes into a queue with a flag and a plain reason for its ranking. Reviewers can reorder anything, and the team owns the priority rules. People answer requesters and judge risk. The agent approves, rejects and buys nothing. It logs each ranking with the signals behind it, so a disputed order of work can be explained.
Each task below is something the agent prepares, checks, drafts or routes, with a person keeping the decision.
It reads dates, renewal deadlines and stated needs to separate requests that are time-bound from those that can wait.
It marks requests involving new vendors, personal data or unusual spend so that the right reviewer sees them early.
It assigns each request to a queue by type, category or owner, following rules your team defines.
It points requesters to preferred vendors or existing contracts before a full review is needed.
Every placement carries a short reason, which makes the order easy to check and correct.
It reads request content, requested dates, vendor records, contract end dates and the priority rules your team has defined.
It decides a suggested rank, queue and flag for each request, using those rules and the signals it finds.
It sorts the queue, adds flags and reasons, and notifies the assigned team. It does not approve, reject or buy anything.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Queue order | First in, first out, so a renewal deadline waits behind trivial asks. | Requests are ordered by urgency and risk, with deadlines pulled forward. |
| Risk spotting | Risky requests hide until someone opens them. | Risk signals are read on arrival and shown on the queue. |
| Consistency | Each reviewer ranks by personal judgement. | One set of written ranking rules applies to every request. |
| Requester clarity | Requesters do not know where they stand. | They see their queue and the reason for it. |
| Tuning | Priorities drift without anyone noticing. | Overrides feed a review of the rules each cycle. |
| If | Then | Who decides |
|---|---|---|
| A deadline is close and notice or lead time is short | It moves the request up and states the date it relied on | Procurement lead |
| The request touches data, access or a new vendor | It raises the risk rank and marks the review needed | Security reviewer |
| The request replaces a vendor already under contract | It ranks it with renewal items and links the contract | Category manager |
| The requester gives no business reason | It places the request in a clarification queue, not the main one | Requester |
| The same reviewer is overloaded | It shows queue load and suggests another eligible reviewer | Team lead |
| A reviewer overrides the ranking | It records the new position and the reason given | Reviewer and rules owner |
Requester urgency claims are weighed against dates and contract facts. Procurement decides whether to coach the team or adjust the rules.
A small amount can still involve sensitive data. The agent ranks on risk first and a reviewer confirms.
A request may be low risk but near a hard deadline. The agent shows both reasons and leaves the final order to the reviewer.
The team lead flags it and the rule owner reviews the logged overrides. Rules change only with their approval.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Begin with the agent only ordering one queue while people still assign work.
Check where reviewers move items, and adjust the rules where overrides cluster.
Let the agent send items to the right team queue once the ranking is trusted.
Share the ranking rules with requesters so urgency claims match what the rules actually weigh.
Time to first review = first reviewer action time - request time, averagedShows how quickly requests get a human look. Compare urgent and routine requests to see if triage is working.
A high rate means the priority rules do not match how your team really works.
Missed deadlines = [n] requests completed after their needed-by dateTracks whether time-bound requests are being reached in time.
Quick answers to what people ask most about AI request triage agent.
Book a demoIt is an agent that reads each incoming procurement request, ranks it by urgency and risk, and places it in the right queue with a reason. The team reviews and can change the order.
It uses signals such as needed-by dates, renewal deadlines and request value, plus the rules your team writes. It shows its reasoning so you can adjust the rules.
No. It only changes the order and the queue. Any decision to approve, reject or pause a request belongs to a person.
Triage decides what to look at first and which queue it belongs in. Routing then sends the request to the specific approvers or reviewers its rules require.
An AI purchase request agent is software that takes in employee requests to buy something, completes the missing details, checks them against spend policy and existing contracts, and routes them to the right approvers.
→An AI purchase order agent is software that drafts purchase orders from approved requests, checks them against budget and contract terms, and tracks what happens afterwards, from supplier confirmation to receipt.
→An invoice processing AI agent is software that captures supplier invoices from email and portals, extracts their data, matches them to vendors and purchase orders, validates tax and totals, and routes exceptions.
→An AI bill coding agent is software that suggests the general ledger account, cost centre, project and spend owner for each bill, checks it against its purchase order and receipt, and routes it for approval.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.