AI agentIntake-to-pay

AI approval policy exception agent

An AI approval policy exception agent identifies which rule a request breaks, such as a sole-source choice, a skipped competitive quote or a spend above a category limit, and names the rule in plain words.

  • People stay in control
  • Every action is logged
  • Start with a small sample
Purchase request and quote set
Written policy rules
Preferred vendor list
Earlier exception decisions
AI approval policy exception agentPrepared for review
  • ✓Exception case summary
  • ✓Rule breach list
  • ✓Precedent comparison
  • ✓Condition and expiry tracker
Handed toPolicy owner gets a decision-ready case
5inputs it reads
6steps in the walkthrough
1point where a person decides
4outputs it prepares
See it run

Watch it work

Agent Record Person
Live walkthrough
  1. 1Spot breachAgent
  2. 2Policy rulesRecord
  3. 3Draft caseAgent
  4. 4Check precedentAgent
  5. 5Exception owner decidesPerson
  6. 6Record decisionRecord

Finds the rule the request would break.

The written purchasing policy and its limits.

Writes the exception request with reasons and alternatives.

Looks for earlier similar exceptions and outcomes.

The policy owner grants, conditions or refuses it.

Stores the ruling, conditions and expiry.

The basics

What is an AI approval policy exception agent?

It asks the requester for the reason and evidence, drafts a short exception case, and sends it to the person who owns that policy.

Read the full explanation

It records the decision, any conditions and the expiry, and counts repeat exceptions so patterns reach policy owners.

Where it breaks

Why this step is hard by hand

Exceptions usually travel as an informal email asking for a favour. Nobody records what rule was bypassed or why, so the same breach reappears and the policy slowly stops meaning anything.

Approvers sense something is off but cannot say which rule it breaks.

A one-line reason does not help the owner weigh risk.

Requests bounce between procurement, finance and legal.

A one-off allowance becomes the default way of buying.

Ten similar exceptions suggest the rule is wrong, but nobody counts them.

The path

How the agent does it

  1. 01Identify the breach

    The agent matches the request against your policy rules and states which one is not met and by how much.

  2. 02Collect the justification

    It prompts the requester for the business reason, alternatives considered and any risk, and checks that the answers are specific.

  3. 03Draft the exception case

    A short summary pairs the rule, the breach, the reason and the cost with relevant history such as previous exceptions for the same vendor.

  4. 04Route to the owner

    The case goes to the named policy owner for that rule, with a deadline and a clear accept, refuse or ask-more choice.

  5. 05Record and expire

    The decision, conditions and an end date are stored, and the agent reports exception volume by rule.

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
Recognising an exceptionExceptions are noticed late or not at all.The agent names the exact rule a request would breach as it arrives.
Quality of the askRequesters explain in a sentence or two.The agent drafts a structured case with reason, alternatives and risk.
ConsistencySimilar cases get different answers depending on who is asked.Earlier rulings are shown alongside the new case.
ConditionsApprovals come with verbal conditions that fade.Conditions and expiry dates are recorded and tracked.
ReportingNobody can say how many exceptions the policy leaks.Exceptions are counted by rule, so the policy owner sees which rules are failing.
People and control

Who decides, and what to watch

What stays with people

  • ✓
    Owning the ruleThe policy owner decides whether to grant, refuse or add conditions.
  • ✓
    Judging the reasonPeople weigh business risk, relationships and context the agent cannot see.
  • ✓
    Changing the policyIf exceptions repeat, leaders revise the rule instead of approving each one.
  • ✓
    Setting the expiryA person decides how long any allowance lasts.

Mistakes to avoid

  • ×
    Approving by defaultIf exceptions are rarely refused, the policy is decorative.
  • ×
    Granting without conditionsAn exception with no scope or expiry becomes precedent.
  • ×
    Recording only the yesRefusals and their reasons are useful evidence too.
  • ×
    Treating every breach alikeA small variance and a bypassed control need different levels of review.

Not sure where approval policy exception 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. 1Pick two rules

    Choose the rules most often broken, such as quote count or vendor choice, and describe how exceptions are ruled today.

  2. 2Prepare only

    Have the agent flag breaches and draft cases while the current approval route stays unchanged.

  3. 3Add precedent

    Show earlier rulings in each case to improve consistency across owners.

  4. 4Review the rules

    Use exception counts to decide which rules need rewriting rather than more exceptions.

Signs you would benefit

Exceptions are the normMany requests ask for a carve-out, and the rule no longer means anything.
Rulings contradict each otherTwo owners decided near-identical cases differently.
Conditions vanishAn exception was granted for one purchase and was treated as permanent.
Cases are thinApprovers get one line of reasoning and have to chase the rest.
The numbers

How to measure it

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

Exception rate by rule

Exception rate (%) =
requests approved as exceptions to a ruleall requests subject to that rule× 100

A high rate for one rule suggests the rule is unrealistic or poorly known. Compare it across teams and quarters.

  • Review the top three rules by exception count each quarter.
  • Track the share of exceptions with an expiry date set.
Questions

Frequently asked questions

Quick answers to what people ask most about approval policy exception.

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What is a policy exception in purchase approval?

It is a formally approved departure from a purchasing rule, recorded with a reason, an approver and usually an end date. It differs from a mistake because it is decided in advance and documented.

Does the agent grant exceptions?

No. It identifies the breach, prepares the case and routes it. Only the policy owner or another authorised person decides.

How many exceptions are too many?

There is no universal number. If one rule is excepted often, it is probably set wrongly or poorly communicated, and the policy should be reviewed.

Should exceptions expire?

Usually yes. A time limit or a re-review date stops a one-off permission turning into an unwritten rule, though some stable cases can be converted into formal policy.

Try approval policy exception 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