AI agentSpend intelligence

AI savings validation agent

An AI savings validation agent takes a claimed saving and checks the baseline, the agreed terms and the invoices that followed.

  • People stay in control
  • Every action is logged
  • Start with a small sample
Saving claims from the ledger
Signed contracts and amendments
Invoices after the start date
Volume and usage data
AI savings validation agentPrepared for review
  • ✓Validation result per claim
  • ✓Gap explanation between claim and invoice
  • ✓Adjusted saving suggestion
Handed toFinance business partner receives results to accept or adjust
5inputs it reads
6steps in the walkthrough
2points where a person decides
3outputs it prepares
See it run

Watch it work

Agent Record Person
Live walkthrough
  1. 1Saving claimedPerson
  2. 2Pull recordsAgent
  3. 3Test the claimAgent
  4. 4Note the resultAgent
  5. 5Finance decidesPerson
  6. 6Validated ledgerRecord

A buyer marks a saving as achieved

Agent collects the contract, baseline and invoices

Agent compares claimed and actual price and volume

Agent records match, partial match or no evidence

Finance accepts, adjusts or rejects the saving

Only confirmed savings count in reports

The basics

What is an AI savings validation agent?

It recalculates the saving from the records, adjusts for volume or scope changes where the data shows them, and states any difference from the claim.

Read the full explanation

It produces a short validation note for each claim, listing the evidence, the assumptions and any missing proof.

Where it breaks

Why this step is hard by hand

Claimed savings are often built on optimistic baselines or one-off effects. Finance wants numbers it can defend, and procurement wants credit for real work.

The comparison price is a quote, a list price or a figure nobody can trace.

Lower spend is credited as a price saving when less was simply bought.

The agreed terms are not attached to the claim.

Savings are booked in a period before the new price starts.

Finance cannot check every claim by hand, so some pass unchecked.

The path

How the agent does it

  1. 01Receive the claim

    Take the claimed amount, baseline, period and supporting references.

  2. 02Check the baseline

    Confirm the baseline against prior invoices, contracts or recorded quotes.

  3. 03Test the terms

    Verify that the agreed price or term exists in a signed agreement.

  4. 04Compare billing

    Recalculate the saving from invoices and note volume or scope shifts.

  5. 05Write the note

    State what is supported, what is not and what evidence is missing.

Want to see this flow on your own items?

Bring a small sample and watch Flo work through it.

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Under the hood

Inside the work

AspectBy handWith the agent
ProofClaims are accepted on the buyer's wordEach claim is checked against contract and invoice records
TimingValidation occurs once a year, if at allClaims are rechecked after invoices have had time to appear
AdjustmentsChanges in volume or scope go unnoticedDifferences in volume and scope are shown beside the saving
DisputesFinance and buyers argue from memoryBoth see the same evidence and the same working
ConfidenceTotals mix proven and unproven savingsEach saving carries a status of validated, partial or unproven
People and control

Who decides, and what to watch

What stays with people

  • ✓
    AcceptanceFinance decides which savings are recognised and in what period.
  • ✓
    MethodologyFinance and procurement agree baseline rules and how to treat volume changes.
  • ✓
    Disputed claimsLeaders resolve disagreements between teams over credit.
  • ✓
    External reportingPeople approve any figure shared outside the company.

Mistakes to avoid

  • ×
    Accepting a quote as baselineIt may never have reflected what you paid.
  • ×
    Ignoring scopeA cheaper contract that does less is not like for like.
  • ×
    Validating onceTerms can slip back at renewal or through invoice error.
  • ×
    Treating validation as an auditIts purpose is confidence, not blame.

Not sure where savings validation fits in your process?

Talk it through with the team. We will map it to your steps and show where a person stays in control.

  • Works from a sample of your real items
  • Shows what Flo handles and what it hands over
  • No commitment to start
Rollout

Rolling it out

  1. 1Set the evidence standard

    Finance and procurement agree what proof a validated saving needs.

  2. 2Validate past claims

    Run the agent on closed claims and compare with finance's manual checks.

  3. 3Validate new claims

    Apply it to new entries after a set delay so invoices have appeared.

  4. 4Report by status

    Show validated, partial and unproven savings separately in leadership views.

Signs you would benefit

Totals are questionedFinance does not trust the savings reported by procurement.
Claims are never recheckedNobody sees whether savings held after signing.
Evidence is missingBuyers cannot show the baseline when asked.
Volume changes hide resultsReported savings ignore what was actually bought.
The numbers

How to measure it

Set your own baseline first. We do not publish benchmarks without a source you can check.
Metric 1

Validated savings share

Validated share (%) =
savings with full supporting evidencetotal savings claimed× 100

It shows how much of the claimed benefit stands on evidence. A gap points to weak baselines or missing paperwork.

  • List the reasons claims fail validation.
  • Compare by team to see where evidence is routinely missing.
Questions

Frequently asked questions

Quick answers to what people ask most about savings validation.

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What is savings validation?

It is the process of confirming that a reported saving rests on a traceable baseline, an agreed change in terms and billing that reflects it.

Does the agent reject savings?

No. It reports what the evidence supports and what it does not. Finance decides what is accepted.

What evidence does it use?

Prior invoices, signed agreements, order forms, quotes and later invoices.

How does it handle volume changes?

It notes them where the data shows a change in quantity or scope, so the price effect and the volume effect are not blurred.

Try savings validation on your own data

Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.

  • People approve, sign and pay
  • Every action is logged
  • Start with a small sample