AI agentIntake-to-pay

AI invoice capture agent

An AI invoice capture agent reads invoices of any layout and creates a structured record with header details, references, amounts and a copy of the original document.

  • People stay in control
  • Every action is logged
  • Start with a small sample
PDF, image and e-invoice files
Page layouts
Layouts seen before from the same vendor
Intake record and receipt time
AI invoice capture agentPrepared for review
  • ✓Structured invoice fields
  • ✓Confidence marks
  • ✓Source-linked record
Handed toMatching step receives structured data
4inputs 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. 1Receive fileRecord
  2. 2Prepare imageAgent
  3. 3Read contentAgent
  4. 4Check qualityAgent
  5. 5Clerk verifiesPerson
  6. 6Save recordRecord

Takes the PDF, image or e-invoice from intake.

Cleans, rotates and separates pages.

Turns the document into structured text and fields.

Flags low-confidence reads.

A person confirms the flagged values.

The captured invoice is stored with the source file.

The basics

What is an AI invoice capture agent?

It marks each field with how sure it is and highlights the ones that need a human look, such as a smudged total or an ambiguous date.

Read the full explanation

It attaches the source image to the record so a reviewer can see the original beside the extracted values.

Where it breaks

Why this step is hard by hand

Manual keying is slow and error-prone, and fixed layout rules break whenever a supplier changes format.

No two suppliers format invoices alike.

Skew, noise and handwriting reduce reading accuracy.

A single wrong digit in an amount or bank detail causes real problems.

Dates and decimals are written differently across regions.

Without confidence signals, people check everything or nothing.

The path

How the agent does it

  1. 01Receive the document

    Takes the file from intake and prepares the pages for reading.

  2. 02Read the content

    Detects text, tables and layout, even when the format is new.

  3. 03Fill the record

    Maps what it read into fields: vendor, invoice number, dates, currency, totals and references.

  4. 04Rate confidence

    Scores each field and highlights uncertain ones.

  5. 05Present for review

    Shows the record next to the original so a person can confirm or correct it.

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
FormatsPaper scans, PDFs and e-invoices each need different handling.One capture step handles all formats.
Poor scansSkewed or faint pages are retyped.Pages are cleaned before reading.
Source linkKeyed data loses its link to the document.Each value points to where it was read.
ConfidenceErrors are found by chance.Low-confidence values are marked for checking.
ThroughputKeying speed limits intake.People spend their time on exceptions only.
People and control

Who decides, and what to watch

What stays with people

  • ✓
    AP staff confirm flagged fieldsThey have the final say on the record.
  • ✓
    Finance sets what must be reviewedTeams decide the confidence level that needs a person.
  • ✓
    People handle unusual documentsCredit notes and odd formats get a human read.
  • ✓
    Owners maintain vendor dataThe agent does not change the vendor master on its own.

Mistakes to avoid

  • ×
    Trusting all fields equallyTotals and bank details need extra care.
  • ×
    Capturing without keeping the originalReviewers need the source.
  • ×
    Ignoring localeA date like 03/04 differs by region.
  • ×
    Treating capture as validationReading the numbers is not the same as checking them.

Not sure where invoice capture 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 formats

    Start with the commonest PDF and e-invoice formats.

  2. 2Verify everything

    Have clerks check all output for the first period.

  3. 3Verify by confidence

    Move to checking only flagged values.

  4. 4Add paper and photos

    Bring in harder formats after the core ones are steady.

Signs you would benefit

Keying dominates the dayClerks retype what is already on the page.
Scans are poorReading errors appear downstream.
Source links are lostAuditors ask where a number came from.
Formats varyEach new vendor needs special handling.
The numbers

How to measure it

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

First-pass capture accuracy

First-pass accuracy (%) =
invoices captured with no correctionsinvoices captured× 100

Track it by vendor and by field. A low rate for a few vendors may mean a poor layout or scan quality that can be fixed with the supplier.

  • Review corrected fields to see which cause the most work.
  • Separate scans from native PDFs.
Questions

Frequently asked questions

Quick answers to what people ask most about invoice capture.

Book a demo
What is invoice capture?

It is the process of turning an invoice document into structured data, reading fields such as vendor, number, dates and amounts so that they do not have to be keyed in by hand.

How is invoice capture different from data extraction?

The terms overlap. Capture usually covers the whole step of receiving the document and creating the record, while data extraction names the field reading inside it.

Does it need set-up for each supplier layout?

No. The agent reads new layouts without per-supplier set-up, and people correct mistakes where they occur.

Who checks the result?

An AP reviewer checks flagged fields. Your team decides how much of the rest is reviewed.

Try invoice capture 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