AI agentIntake-to-pay

AI multi-level approval agent

An AI multi-level approval agent runs the approval path for a request: it sends it to the first approver, waits for the decision and then moves it to the next level, or to several approvers at once where the rules allow.

  • People stay in control
  • Every action is logged
  • Start with a small sample
Approval rules for each level
Request record and revisions
Approver list in order
Decisions and comments so far
AI multi-level approval agentPrepared for review
  • ✓Level-by-level status
  • ✓Notifications to the next approver
  • ✓Complete ordered decision record
Handed toEach approver receives the request at their turn
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 enters approvalRecord
  2. 2Build the sequenceAgent
  3. 3Send level oneAgent
  4. 4Approver decidesPerson
  5. 5Advance or stopAgent
  6. 6Chain completeRecord

It needs more than one level of sign-off.

The agent lists levels and their order.

The first approver receives the request.

The first level approves, rejects or queries.

The agent moves on, or halts on a rejection.

All decisions are stored in order.

The basics

What is an AI multi-level approval agent?

At each stage it passes on the earlier approvers' comments and conditions, so later approvers see what has already been said.

Read the full explanation

If someone rejects, asks for changes or raises a condition, the agent stops the chain, returns the request to the requester and restarts the path from the right point once it is updated.

Where it breaks

Why this step is hard by hand

Each extra level adds both control and delay, and a long chain handled by email makes the delay very hard to see.

Each approver starts from scratch, with no sight of earlier comments.

Approvers who could act in parallel wait in line unnecessarily.

An edited request restarts the path, and nobody is sure who has already approved.

An approver's 'yes, provided that' does not reach the next person.

The requester cannot tell which level is holding things up.

The path

How the agent does it

  1. 01Load the path

    The agent takes the required levels and any parallel groups from the approval rules.

  2. 02Send to the first level

    The first approver or group gets the request with a summary of the checks done.

  3. 03Carry the context

    Comments, conditions and attached documents are passed to each next level.

  4. 04Handle outcomes

    On rejection or a change request, the chain pauses and the requester is told what is needed.

  5. 05Restart sensibly

    After an edit, the agent works out which approvals still stand and which need repeating, and asks a person to confirm.

Want to see this flow on your own items?

Bring a small sample and watch Flo work through it.

Book a demo
Under the hood

Inside the work

AspectBy handWith the agent
Sequence trackingBuyers track who has approved and who is next.The agent tracks each level and moves on after each decision.
Hand-offsThe next approver is not told when their turn comes.The next level is notified as soon as the previous decides.
RejectionsA rejection at level two is not shared with level one.Rejections and reasons are visible to every level involved.
ChangesEdits after the first approval are not re-shown.A material change sends the request back through the affected levels.
AuditThe order of approvals is hard to reconstruct.Each decision is stored with time, level and approver.
People and control

Who decides, and what to watch

What stays with people

  • ✓
    Every approvalEach level is a person's judgement, and the agent never substitutes.
  • ✓
    Deciding on restartsA person judges whether an edit invalidates earlier approvals.
  • ✓
    Designing the pathLeaders choose how many levels are needed and which can run in parallel.
  • ✓
    Resolving conflictsWhere approvers disagree, a senior person decides.

Mistakes to avoid

  • ×
    Too many levelsEvery added level slows the process, so each should have a clear purpose.
  • ×
    Strict sequence by defaultIndependent approvers can often act at the same time.
  • ×
    Losing conditionsAn approval with a condition must carry that condition forward.
  • ×
    Silent restartsRe-requesting approvals without telling people causes confusion.

Not sure where multi-level approval 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. 1One chain at a time

    Pick one two-level chain and have the agent track it.

  2. 2Test change handling

    Check what happens when values or scope change mid-chain.

  3. 3Add parallel levels

    Introduce levels that decide at the same time.

  4. 4Audit the order

    Sample completed chains to confirm the sequence and reasons were kept.

Signs you would benefit

Buyers track a chain by spreadsheetA missed hand-off adds days.
Rejections are lost between levelsEarlier approvers never learn why.
Changes slip through after approvalThe final order differs from what was signed off.
The decision order is unclearAudit questions take hours.
The numbers

How to measure it

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

Time per approval level

Level time = time level approved − time level received the request, averaged for each level

It shows where in the chain requests wait longest. If one level is consistently slow, consider whether it can run in parallel with another or whether its role has changed.

  • Show the measure per level, not as one total for the whole chain.
  • Compare paths with and without parallel steps.
Questions

Frequently asked questions

Quick answers to what people ask most about multi-level approval.

Book a demo
What is multi-level approval?

It is a process where several people must approve a purchase, in sequence or in parallel. An AI agent manages the order, passes context between levels and tracks status, while each approver decides.

Can approvers act in parallel?

Yes, where your rules allow. Independent approvers can receive the request at once, which shortens the wait without removing any approval.

What happens if the request is edited mid-chain?

The agent pauses, works out which approvals might still stand and asks a person to confirm which levels need repeating.

Does the agent ever skip a level?

No. It follows the path your rules set. Skipping a level requires an authorised person to grant an exception.

Try multi-level approval 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