A digit slips
The mistake is paid.
BoldBellowsAI invoice data extraction automation for finance teams who type invoice lines and hope the totals match
AI invoice data extraction automation that reads each invoice, checks the arithmetic, matches the order and catches duplicates
Invoice extraction reads supplier, number, dates, lines and totals, then checks that the lines add up to the total and matches the invoice to an order before anything is posted. BoldBellows collects a spread of your real supplier invoices, lists the fields and checks you need and notes who approves which, before a model reads a single one, reads supplier, number, dates, lines and totals, checks that the lines add up, matches each invoice to an order, flags duplicates and sends exceptions to a person with the invoice beside the data, then builds AI invoice data extraction automation invoice by invoice through the model API: documents are collected from email and folders, each is read into a schema with the supplier, invoice number, dates, currency, tax, lines and totals, the arithmetic is checked in code, the supplier is matched to your list, the invoice is compared with its purchase order, duplicates are caught by supplier, number and amount, exceptions are queued with the invoice beside the data, and clean invoices are passed to your accounting system for approval. Custom AI invoice data extraction automation can add multi-currency handling and payment-run exports.
View Pricing
One-off setup from $2,035
No monthly subscription
- AI invoice extraction
- Arithmetic checked in code
- Duplicates caught
- Read into a schema supplier, lines, tax, totals
- Arithmetic checked in code lines add up to the total
- Matched to the order price and quantity compared
- Duplicates held supplier, number and amount
- Scoped access Credentials are limited to the objects in scope and can be revoked
- A price you can plan around from $2,035 in a single payment, no seats and no usage fees
Chapter 01 the typing-the-totals problem
Typing invoice lines and hoping the totals match is how a mistyped digit becomes a paid mistake
Invoices arrive as attachments, links and photos, in every layout a supplier can imagine. A clerk types the lines into the ledger, and a digit slips. A tax line is missing on one and doubled on another. The same invoice arrives twice, once by email and once through a portal, and is paid twice. A model-based first attempt reads most invoices well and some confidently wrong, and since no one checks the arithmetic, a wrong total reaches the ledger.
The first duplicate caught paid for the setup, and the second caught a supplier's tax error.
Tax missing or doubled
Layouts differ.
The same invoice twice
Email and portal.
Before
After
Before
- Every hook delivery becomes a write
- Invoice lines are typed and totals are trusted
- Duplicates and wrong sums are found after payment
After
- Identity is fixed by the supplier, the invoice number and the checks passed and never re-guessed
- Invoices are read into a schema and checked in code
- Duplicates are held and exceptions reach a person with the invoice beside the data
Chapter 02 How it works
How an invoice becomes verified data ready for approval
Every step has a check before it, so a fault stops the run instead of spreading.
Check it is real and in scope
The AI Team notice is validated, the underlying record is read, and only a qualifying failed request moves on.
Read, check, match
The invoice is read into a schema, the arithmetic is checked in code, and the supplier and order are matched.
Hold, queue, pass on
Duplicates are held, exceptions are queued with the invoice, and clean invoices go on for approval.
What the design takes from AI Team and AI practice
- Check the arithmetic: Invoice extraction reads supplier, number, dates, lines and totals, then checks that the lines add up to the total and matches the invoice to an order before anything is posted.
- Let code do the sums: Because a model can misread a figure, the build checks that lines add up to the total in code, which is a cheap and reliable test of whether the reading is right.
- Lookups before retries: The supplier, the invoice number and the checks passed is the route's way of asking AI Invoice Data Extraction whether the work is already done.
Chapter 03 What ships in the build
How invoices are read: extract, check and match
Signal answers whether this should happen. Control answers what exactly gets written. Reconcile answers whether it is still right next month.
Intake rule reader
Interprets the AI Team payload against the intake rule and stamps the decision on the ledger.
Stable identity ledger
Keeps a durable record of what the model was shown and what was decided for each AI Team object.
Map change log
Records every change to the field map, so a later question about an AI Invoice Data Extraction value has an answer.
Invoice schema
Defines the fields: supplier, number, dates, currency, tax, lines and totals.
Arithmetic check
Verifies in code that lines and tax add up to the total.
Order matching
Compares the invoice with its purchase order and receipt.
Duplicate detection
Holds invoices that repeat a supplier, number or amount.
Exception queue
Puts the invoice and the figures side by side so a person can correct them.
Failure ledger
Records every failed or refused write to AI Invoice Data Extraction with its cause and what was done.
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Chapter 04 Who this fits
Where marketing teams need to turn supplier invoices into checked data ready for approval, with arithmetic verified, orders matched and duplicates caught before they are paid
A model reading an invoice is only useful if somebody checks the sum, and a few lines of code can do that every time.
AP clerk
"Stop typing lines."
They arrive read.
Finance manager
"Prevent double payments."
Duplicates are held.
Controller
"Trust the ledger."
Sums are verified.
Procurement lead
"Catch price drift."
Orders are matched.
Auditor
"See the trail."
Every check is logged.
Owner
"Pay the right amount."
Errors are caught early.
Chapter 05 The options
Where a clerk typing invoice lines into the ledger and hoping the totals match and zaps stop, invoice reading, arithmetic checks, order matching, duplicate detection and an exceptions queue begins
Each can read a page. Only one checks the arithmetic, matches the order and holds the duplicate.
| Question | Typed totals | Double payments | Our invoice route |
|---|---|---|---|
| What starts the work | The next person to look | Each delivery, repeats included | Rule-approved events, logged with the reason |
| How identity is decided | Guessed from context | A single field treated as the key | Typed lines and double payments |
| What arrives in the ledger | A few fields, entered late | A copy without context | Verified invoices and held duplicates |
| After an uncertain result | Open both apps and compare | Runs again from the start | Matches on the supplier, the invoice number and the checks passed, then repairs or holds |
A late arrival
Events that reach the route after a newer one are recognized by timestamp and routed for review instead of applied, on the AI Invoice Data Extraction service.
An invoice total differs from the sum of its lines by a small amount
The arithmetic check fails, the invoice goes to the exceptions queue with the difference shown, and a person decides whether it is a rounding rule or a misread figure. Finding the invoice comes first: the supplier, the invoice number and the checks passed is searched, the hit is compared, and only then is an action chosen. Writing a fresh invoice is the last option, reserved for proven absence.
Nothing is written to AI Invoice Data Extraction until the supplier, the invoice number and the checks passed is defined and stored for each invoice.
Interlude Where the money goes: invoices, lines and checks
Pricing for invoices: suppliers and systems
See what a human-approved AI route for AI Team costs before you ask for a quote. It starts at $2,035.
View Pricing
One setup fee · Range shown first
Pricing
Build your AI Team AI Invoice Data Extraction price
Pick a package, answer three short questions about how AI Team data should reach AI Invoice Data Extraction, and your price and turnaround move as you choose.
Chapter 06 The process
Six steps from typed invoices to verified data
Each of the six steps has an output you can read, not just a status update.
-
About 30 minutes
Gather real invoices
We collect a spread of your supplier invoices and list the fields, checks and approvers.
-
Access review
Approve access
We agree the AI Team scope, the model service and the decision identifiers before anything is built.
-
Most of the project
Agree checks and posting
The tolerances, the exception rules and where verified invoices go are written down and signed off.
-
Before you review
Stress the edges
Late deliveries, doubled events and partial failures are simulated in a test AI Invoice Data Extraction and the results reviewed with you.
-
Handover day
Launch with notes
Production begins at a boundary you have agreed, with a PDF covering the rules, owners and repair steps.
-
About 30 minutes
Post-launch review
We go through the exception list and the checkpoint log with you and agree what, if anything, needs a change.
Chapter 07 Turnaround
Delivery windows by package
The clock starts once invoices and your accounting access are available.
Signal
6 to 10 business days
Control
10 to 16 business days
Reconcile
16 to 24 business days
Chapter 08 Getting started
What to gather before day one
A named AI Team administrator who can approve the connection
Access to the invoice inbox, your supplier list and orders, and the accounting system
Access to the AI Team account that holds the records in scope
Your expected behavior for edits, cancellations and repeats
The hours when changes to AI Invoice Data Extraction are safest to release
Records or dates that the route should ignore
Chapter 09 Trust
Narrow permissions, narrow payloads, nothing patched
The model sees the invoice fields you approve and nothing more, each proposal is recorded, and posting waits for the approval you require.
Untouched core, documented edges
Both AI Team and AI Invoice Data Extraction are used as their own documentation describes; no workaround reaches into their internals.
Scoped, revocable access
Only approved invoice fields go to the model, every proposal is recorded, and writes wait for the approval you require.
Nothing extra travels
The route forwards what was agreed and ignores the rest, so AI Invoice Data Extraction never becomes a second copy of everything in AI Team.
Proof before repetition
Nothing is created twice: a missing confirmation triggers a search of AI Invoice Data Extraction by the supplier, the invoice number and the checks passed before any further write.
Minimal logging
Operational history is limited to IDs, timestamps and outcomes.
Full handover
You leave with the mapping, the settings and a plain-language guide.
"Careful arithmetic is a quiet form of respect for the supplier and the budget, and code is good at it."
Steven GrratFounder, BoldBellows
Chapter 10 In their words
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and data to support and operations.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
Chapter 11 Questions
Invoices: what AP clerks and controllers ask
These are the queries we hear most, with straight replies.
Why not wire AI Team to a model ourselves?
A zap can provide invoice data that enters your accounts correct and unique. It is not built to read the invoice, check it adds up and match it before it is posted. The work here is the judgment around the connector, not the connector itself.
How is accuracy protected?
Fields carry a confidence, the arithmetic is checked in code and exceptions go to a person.
Can it catch duplicates?
Yes, by supplier, invoice number and amount, including near-matches.
What about multiple currencies and taxes?
Currency and tax lines are read into the schema and checked, as scoped in the quote.
Where do verified invoices go?
To your accounting system or approval tool, as confirmed in the quote.
Does it match purchase orders?
Yes, price and quantity are compared with the order and receipt.
How is invoice extraction priced?
Your suppliers' formats, the schema and the systems it feeds set one total, agreed in writing first.
What stops the model seeing too much of AI Team?
The schema, checks and posting rules are drawn up for your approval before the first invoice is read.
Can the rules differ by workspace?
Yes. You decide the limits of the AI Team AI route and we build to them, starting at $2,035.
What if the model's answers drift over time on the AI Invoice Data Extraction service?
Upstream changes are caught at the point of use: the step pauses, the reason is recorded, and your owner is notified. Repair work is quoted outside the review window.
Give your ledger invoices that were read, summed, matched and checked for duplicates
Share the invoices that cause the most trouble; your written quote reaches you before any invoice is read.
- From $2,035, paid once
- Arithmetic checked in code
- Duplicates held
- No monthly fee from us