AI agentIntake-to-pay

AI purchase request agent

An AI purchase request agent is software that takes in employee requests to buy something, completes the missing details, checks them against spend policy and existing contracts, and routes them to the right approvers.

  • People stay in control
  • Every action is logged
  • Start with a small sample
Request text and attachments
Spend and approval policy
Existing contracts and vendors
Open and past requests
AI purchase request agentPrepared for review
  • ✓Structured request record
  • ✓Policy and overlap summary
  • ✓Proposed approval path
  • ✓Audit log of changes
Handed toApprovers receive a decision-ready summary
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. 1Request landsRecord
  2. 2Structure detailsAgent
  3. 3Chase gapsAgent
  4. 4Check policyAgent
  5. 5Approver decidesPerson
  6. 6Trail savedRecord

A request arrives by form, email or chat.

The agent pulls vendor, scope, term and reason from the text.

It asks the requester for the cost centre or term that is missing.

Spend policy, contracts and open requests are compared.

The approver reads the prepared summary and approves or rejects.

The decision and every change are logged to the request record.

The basics

What is an AI purchase request agent?

The purchase request agent picks up asks as they arrive through chat, email and forms. It assigns a category, fills in missing details, asks the requester follow-up questions, and tests the request against spend policy, existing contracts and open requests. Specialist parts handle classification, policy and duplicate checks, approval routing and reviews by legal, security or IT.

Read the full explanation

Each request leaves as a complete record with its evidence and an approver chain, plus reminders if someone is slow. Approvers say yes or no, policy owners change the rules, and buyers pick the supplier. The agent approves nothing. It writes every question, check and routing step to the request's audit trail.

Where it breaks

What this agent does

Each task below is something the agent prepares, checks, drafts or routes, with a person keeping the decision.

It accepts requests from forms, email or chat and turns free text into structured fields such as vendor, amount, term and business reason.

It spots missing details, such as cost centre or contract term, and asks the requester for them rather than passing on an incomplete request.

It compares the request with spend policy, preferred vendors and existing agreements, and flags duplicates or overlap.

It builds the approval path from amount, category and risk, adds legal, security or IT review where rules require it, and reminds approvers who are slow.

It logs who asked, who reviewed, what changed and when, so the trail is ready for audit.

The path

Reads, decides, does

  1. 01Reads

    It reads request text, forms, email threads, spend policy, approval rules, vendor records and existing contracts.

  2. 02Decides

    It decides which category fits, which rules apply, which checks failed and who should review next, within the rules your team sets.

  3. 03Does

    It drafts the structured request, sends follow-up questions, routes tasks, sends reminders and writes the audit trail. It does not approve anything.

  4. 04Intake and classification

    Reads each request, assigns a category and completes the form.

  5. 05Policy and duplicate check

    Tests the request against spend policy, contracts and open requests.

  6. 06Approval routing

    Builds the approver chain, handles delegation and sends reminders.

  7. 07Specialist reviews

    Sends contract, supplier and app requests to legal, security or IT.

Want to see this flow on your own items?

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Under the hood

Inside the work

AspectBy handWith the agent
Request qualityApprovers get half-filled asks and reply with questions.Requests reach approvers complete, with gaps already chased.
Policy checkingDepends on who remembers the rule that week.Every request is tested against the same written policy.
RoutingBuyers work out approvers from memory or a spreadsheet.The path is built from category, amount and risk rules.
Slow approvalsStalled requests are noticed when the requester complains.Reminders go out and stalls show on a queue view.
Audit evidenceReconstructed from email threads after the fact.Asker, reviewers, edits and timestamps sit on one record.
People and control

Who decides, and what to watch

What stays with people

  • ✓
    Approvers decideEvery approval, rejection or change request is made by a named person with authority.
  • ✓
    Policy owners set rulesFinance and procurement define thresholds, categories and who reviews what.
  • ✓
    Requesters own the needThe person asking confirms the business reason and the details the agent asks about.
  • ✓
    Exceptions get judgedOut-of-policy requests go to a person who can accept the risk or say no.
  • ✓
    Buyers pick the supplierThe agent suggests preferred vendors, but people choose and commit.

Signs you would benefit

  • •
    Approvers keep replying with questionsIf most approvals begin with a question, intake is incomplete.
  • •
    Requests bypass the processPurchases found on cards or invoices with no request point to a path that is too hard.
  • •
    Routing lives in someone's headWhen one person knows who approves what, absences stall everything.
  • •
    Duplicate tools turn up at renewalOverlap is being found late because nobody checks at request time.

Not sure where AI purchase request agent 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 one request type

    Start with software requests, where overlap and security checks matter most. Leave other types on the old path.

  2. 2Run in suggest mode

    The agent fills fields and proposes a route, and procurement confirms each one. Corrections tune the rules.

  3. 3Let routing run

    Once suggestions are accepted consistently, the agent routes live and procurement reviews only flagged items.

  4. 4Add request types

    Widen to services and one-off purchases, keeping exception review and the audit log unchanged.

The numbers

How to measure it

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

Request cycle time

Cycle time = approval date - request date, averaged across [n] requests

Shows how long a request waits between submission and decision. Split it by category to see where waiting happens.

Metric 2

First-pass completeness rate

Completeness (%) =
requests routed with no follow-uptotal requests× 100

Shows how often requests arrive ready to review. A low number points to a weak form or unclear guidance.

Metric 3

Out-of-policy rate

Out-of-policy (%) =
requests flagged for policytotal requests× 100

Tracks demand that bypasses preferred vendors or limits, so you can fix the policy or the guidance.

Questions

Frequently asked questions

Quick answers to what people ask most about AI purchase request agent.

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What does an AI purchase request agent do?

It gathers the details of a request, checks them against policy, contracts and open requests, and sends the request to the right approvers. It keeps a record of each step. People make every approval decision.

Does the agent approve requests by itself?

No. It prepares the request and routes it. Approvers with the right authority approve, reject or return it, and the agent records what they decided.

How is it different from an approval workflow?

A workflow follows a fixed route. The agent also reads free-text requests, fills missing fields, checks for duplicates and existing contracts, and adapts the route to the request.

Which requests should go through it?

Any request to buy software, services or goods that needs a budget check or approval. Teams often start with software and services, where contracts and duplicates matter most.

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Try AI purchase request agent 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