An AI spend policy check agent takes a structured request and runs it through the rules procurement has defined: value thresholds, required quotes, approved vendor lists, maximum terms and category restrictions.
A complete request is ready for policy check.
The agent loads the policy conditions that apply.
Amount, category, vendor and quotes are checked.
Passes, failures and unclear items are written out.
A buyer decides on every failed or unclear item.
The check outcome stays on the record.
It produces a short result listing each rule, whether the request passed and the data used, so a reviewer can see the basis for every flag.
Requests that breach a rule are marked and routed to the right reviewer. The agent does not block or approve; it gives the reviewer the finding.
Policy checks are repetitive and detailed, so they are easy to skip on a busy day or apply unevenly between reviewers.
A reviewer may check three rules on one request and five on the next.
Annual value, total contract value and per-seat price get mixed up.
A large purchase divided into smaller ones can slip under a threshold.
A rejection with no stated reason leads to arguments and rework.
Updated limits are not always reflected in what reviewers remember.
The agent selects the rules that apply to the request's category, value and requester.
It calculates the figures each rule needs, such as total contract value over the full term.
Every rule is tested and the outcome, with the numbers used, is recorded.
It checks recent requests from the same team or vendor for signs of a split purchase.
A pass or breach summary is attached, and breaches go to the reviewer your rules name.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Coverage | Buyers check the rules they remember. | Every applicable rule is tested on every request. |
| Evidence | A pass or fail is noted without the reasoning. | Each finding cites the rule and the value that triggered it. |
| Consistency | Similar requests get different outcomes by reviewer. | The same rule gives the same finding each time. |
| Timing | Breaches are found at invoice time. | Breaches are found before the request is routed for approval. |
| Rule changes | New policy takes weeks to reach daily practice. | Updated rules are applied from the date they take effect. |
| If | Then | Who decides |
|---|---|---|
| Quoted amount exceeds the competitive-quote level | Fail and note that quotes are required | Buyer decides whether to request them or approve an exception |
| Category is on the restricted list | Fail and cite the restriction | Category owner decides |
| Vendor is not on the approved list | Flag and show approved alternatives | Buyer decides whether to proceed |
| Required field is missing, so a rule cannot be tested | Mark as unclear, not as a pass | Buyer chases the field |
| Request splits a purchase into pieces | Flag the pattern with the related requests | Buyer judges intent |
| All applicable rules pass | Record a clear pass with the rules tested | None required beyond normal routing |
The agent notices related requests with similar timing and vendor and flags the pattern. The buyer decides whether it is a deliberate split.
The agent does not guess, and records the finding as unclear. The policy owner clarifies the rule and the buyer rechecks.
The agent states which version it applied. The buyer decides whether the request is judged by the old or the new rule.
A previous exception may cover the case. The agent shows it, and a buyer confirms it still applies.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Start with amount-based and approved-vendor rules that are already clear.
Run the agent beside human checks and review each mismatch.
Bring in the harder rules once the first set matches buyers' judgement.
Keep each rule set dated so every result can be traced to the policy in force.
It indicates how well requesters understand the rules. A steady rise on one rule suggests the rule is unclear or no longer fits how people buy.
Quick answers to what people ask most about spend policy check.
Book a demoIt is the test of a purchase request against your buying rules, such as thresholds, quotes and approved vendors. An AI agent runs the tests consistently and reports each result with its reason.
No. A pass means the tested rules were met. Approval still comes from the people your approval chain names.
It can compare recent requests from the same team and vendor and flag a pattern that looks like a split. A person judges whether it was intended.
Your procurement and finance leaders do. The agent applies the rules as written and reports on them; it does not set or change them.
Requester policy Q&A is the step where employees ask what they may buy, how, and who must approve.
→Preferred vendor recommendation is the step where a requester is pointed to approved or contracted suppliers before going to market.
→A software request is an employee's ask to buy, renew or add seats for an application.
→An existing contract check is the step that asks whether a vendor already has an agreement with your company before a new purchase goes ahead.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.
