An AI request cost estimation agent reads the quote or order form and builds a cost view that includes the recurring fee, one-off charges, expected renewal uplift, usage-based items and any stated taxes or freight.
A request has an item description and quantity.
The agent reads quotes and past purchases.
It builds a range and shows the inputs.
Missing inputs are listed beside the range.
A person accepts or adjusts the estimate.
The figure and its basis stay on the record.
Where a quote is incomplete, it fills gaps from similar past purchases and records every assumption in plain words, marked as an estimate.
The result is shown to the requester and approver as a range with a clear basis, and the human reviewer confirms or corrects the assumptions.
Approvers often see one number on a quote, while the real commitment includes items that appear elsewhere or only later.
The monthly or per-seat figure hides setup fees, minimums and add-ons.
Multi-year commitments, ramped pricing and uplift clauses alter the spend.
Variable charges depend on consumption that nobody has estimated.
One vendor quotes per user per month, another per year in total.
The assumptions behind a number are lost, so it cannot be checked at renewal.
The agent extracts fees, term, billing frequency, minimums and stated price changes from the quote.
Different pricing units are converted to a common annual and full-term view.
Where details are missing it looks at similar past purchases and notes it as an assumption.
A low and high estimate are produced using the stated variables, with each assumption listed.
The estimate and its basis go to the requester and approver to confirm or correct.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Early figures | Requesters guess a price or leave it blank. | An estimate is built from quotes, past orders and contract rates. |
| Basis | The number has no source. | Each estimate lists its inputs and where they came from. |
| Threshold routing | Approval routing waits for a real quote. | Routing can use the estimate while the quote is pending. |
| Recurring costs | One-off figures hide multi-year cost. | Term and renewal pattern are included in the estimate. |
| Revisions | Changes to scope are not reflected in cost. | The estimate is recalculated when the request changes. |
| If | Then | Who decides |
|---|---|---|
| Quote is attached | Use the quote and mark the estimate as quoted | Buyer checks the extraction |
| No quote, but past orders exist for the item | Estimate from past unit prices and say so | Buyer reviews the range |
| Contract rate applies | Use the contract price and cite it | Buyer confirms the contract is current |
| Cost depends on usage | Show a range with assumptions stated | Requester supplies expected usage |
| No basis for any estimate | Say that no estimate is possible and ask for a quote | Requester or buyer obtains one |
| Estimate sits near an approval threshold | Flag that routing could change | Buyer confirms which path applies |
A real quote may differ greatly. The agent stores both and notes the gap, and the buyer reviews whether routing needs to change.
The total depends on volume that the requester may not know. The agent states its assumption and the requester confirms it.
Annual cost differs from total commitment. The agent shows both, and finance decides which counts against budget.
Old order prices may not reflect market changes. The agent shows the date of each source, and the buyer decides whether it is still usable.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Begin with requests that already have a quote attached.
Use historical purchases for similar items and compare with later quotes.
Allow estimates to place a request on an approval path, with buyers watching.
Review estimate-to-quote gaps and adjust the inputs used.
It compares what the agent estimated with what was actually billed. A large persistent gap in one category points to a missing cost item or a wrong assumption.
Quick answers to what people ask most about request cost estimation.
Book a demoIt is working out the likely full cost of a purchase over its term, including fees, uplifts and usage, not only the headline price. An AI agent can build that view from the quote and show its assumptions.
No. It is an estimate with assumptions shown, for people to confirm or correct. The actual price comes from the signed contract and the invoices.
From the quote or order form, and from similar past purchases in your records where details are missing. Each assumption is listed.
It can model a range based on stated or assumed usage. Because usage is uncertain, the result is shown as a range for the budget owner to judge.
Request escalation is the step that raises a purchase request to a more senior or different person when it stalls, breaches a rule or carries unusual risk.
→Request category assignment is the step of placing a purchase request in the right spend category, such as marketing software, contract labour or office equipment.
→Request SLA monitoring is the step of tracking how long each purchase request spends in each stage against the service targets your team has set.
→Approval routing is the step that decides who must approve a purchase and sends the request to them in the right order.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.
