AI agentIntake-to-pay

AI approval threshold agent

An AI approval threshold agent calculates the value that the threshold applies to, whether annual, total contract or cumulative with the vendor, according to how your policy defines it.

  • People stay in control
  • Every action is logged
  • Start with a small sample
Request value or estimate
Threshold table with effective dates
Contract term
Related requests
AI approval threshold agentPrepared for review
  • ✓Assigned band with basis
  • ✓Near-threshold flags
  • ✓Combined-value notes
Handed toApproval routing receives the band
5inputs it reads
6steps in the walkthrough
1point where a person decides
3outputs it prepares
See it run

Watch it work

Agent Record Person
Live walkthrough
  1. 1Request valueRecord
  2. 2Read the thresholdsAgent
  3. 3Compare the valueAgent
  4. 4Check totalsAgent
  5. 5Buyer confirms bandPerson
  6. 6Band storedRecord

A request carries an amount or estimate.

The agent loads the current approval thresholds.

It finds the band the amount falls in.

Related requests and term totals are considered.

A person checks near-threshold cases.

The band sets the approval path.

The basics

What is an AI approval threshold agent?

It compares that value with each band and records which tier applies and the figures it used, so the result is easy to check.

Read the full explanation

It also looks for requests that sit just under a limit or that appear to be split, and flags them for review rather than deciding.

Where it breaks

Why this step is hard by hand

Thresholds seem simple until you ask what number they apply to, and different readings send the same purchase to different approvers.

Annual, total term and multi-year commitments are mixed up.

A later extension pushes cumulative spend with a vendor over a limit.

A large purchase is divided so each piece sits under a tier boundary.

Amounts in different currencies or with and without tax cross a limit unexpectedly.

A new threshold is announced but not applied consistently.

The path

How the agent does it

  1. 01Identify the measured value

    The agent applies your policy's definition, such as total contract value or annual value.

  2. 02Compute the amount

    It sums fees over the term, adds known one-off charges and converts currency where needed.

  3. 03Compare with the bands

    The figure is matched to the approval tier it falls in.

  4. 04Check cumulative spend

    Recent purchases from the same vendor and team are added up to spot splits or near-limit patterns.

  5. 05Record the result

    The tier, figures and flags are attached for the approval step.

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
Band lookupBuyers check a table to see which limit applies.The agent applies the current table to each request.
Near-limit casesRequests just under a limit pass unquestioned.Near-limit requests are flagged for a closer look.
Total costOnly the first-year amount is compared.Term and related requests are included in the comparison.
Table changesOld limits stay in use after an update.The table is versioned and applied from its start date.
ReasoningThe band is not explained.The threshold, amount and basis are stored on the record.
People and control

Who decides, and what to watch

What stays with people

  • ✓
    Setting the limitsFinance and leadership decide the bands and what value they apply to.
  • ✓
    Ruling on splitsA person judges whether separate orders were really one purchase.
  • ✓
    Granting exceptionsAn authorised person decides whether to move a request between tiers.
  • ✓
    Reviewing the limitsLeaders revisit thresholds as the business changes.

Mistakes to avoid

  • ×
    Using the wrong valueApplying a limit to annual spend when policy says total gives the wrong tier.
  • ×
    Ignoring cumulative spendMany small orders add up to something significant.
  • ×
    Hard-coded limitsThresholds embedded in many places are hard to update together.
  • ×
    Treating a near miss as safeRequests just under a limit deserve a second look.

Not sure where approval threshold 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. 1Load one table

    Start with the current threshold table and a single currency.

  2. 2Check band assignments

    Compare agent bands with the ones buyers would pick.

  3. 3Add total-cost rules

    Include term totals and related requests.

  4. 4Watch near-limit clusters

    Review whether requests bunch just under a limit and tell the policy owner.

Signs you would benefit

Requests cluster just under a limitNobody looks at why.
Only year-one cost is comparedMulti-year commitments pass lightly.
Old tables stay in useThe wrong approver is chosen.
Currency treatment variesSimilar requests are banded differently.
The numbers

How to measure it

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

Near-threshold request share

Near-threshold share (%) =
requests within a set margin below a limittotal requests in that band× 100

A cluster of requests just under a limit can indicate splitting or a threshold that no longer fits how people buy. It is a prompt to look, not proof of misuse.

  • Choose the margin from your own data and keep it fixed so trends are comparable.
  • Review the clustered requests by team and vendor.
Questions

Frequently asked questions

Quick answers to what people ask most about approval threshold.

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What is an approval threshold?

It is the spend limit that decides which level of approval a purchase needs. An AI agent works out the value that counts, compares it with your limits and shows which tier applies.

Can the agent change our thresholds?

No. Leaders set the limits. The agent applies them as written and reports what it found.

How does it handle multi-year contracts?

It applies your policy's definition, such as total contract value or annual value, and shows the figures it used so a reviewer can check the choice.

Can it detect split purchases?

It can flag patterns such as several orders to the same vendor from the same team in a short time. A person decides whether they should be treated together.

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Try approval threshold 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