AI & automation
AI invoice & data entry
Stop keying in invoices. Let them be read, checked and posted for you.
Overview
Keying in supplier invoices is one of the most common, and least rewarding, jobs in a finance team. It’s slow, errors are easy to make, and approvals stall in inboxes while payment terms run out.
ByteMak automates accounts payable from inbox to ledger. Invoices are captured wherever they arrive, read line by line, matched to your orders and checked for duplicates or suspicious changes. Clean invoices go to approval and posting, and anything unusual waits for a person.
The same approach works for other repetitive data entry, such as order forms, timesheets or bank statements, so your team spends its time on checks and decisions instead of typing.
Capabilities
What AI invoice & data entry includes.
Take the full service or just the parts you need. Each one can be scoped and priced on its own.
Invoice capture
Invoices and receipts collected from email, supplier portals, scans and phone photos.
Line-item extraction
Supplier, dates, tax, totals and every line item read from any invoice layout.
Order matching
Two- and three-way matching against purchase orders and goods received notes, within your tolerances.
Duplicate & fraud checks
Duplicate invoices, changed bank details and unusual amounts flagged before payment.
Approvals & posting
Invoices routed to the right approver, then posted to your accounting system with coding applied.
Other data entry
Order forms, timesheets, statements and spreadsheets moved into your systems the same way.
Outcomes
What changes for you.
Quicker month-end
Invoices are posted as they arrive, so closing the books takes less chasing.
Fewer payment errors
Matching and duplicate checks catch mistakes before money leaves your account.
Finance time back
Your team reviews exceptions instead of typing every line.
Tools & technologies
- Python
- Claude
- Azure AI Document Intelligence
- QuickBooks
- Xero
- Zoho Books
- Odoo
- SAP Business One
- Power Automate
- n8n
How we work
Simple process. Serious results.
Four steps, each ending with something you can hold, so you stay in control and can decide what happens next.
Start with a discovery callDiscover
Typically 1–2 weeks
We learn your goals, users and constraints before proposing anything.
Workshops, stakeholder interviews and a review of your current systems.
Goals & priorities brief
Design
Typically 2–4 weeks
You see how it will work and what it will cost before code is written.
Prototypes, technical design and a clear plan with costs and milestones.
Prototype & delivery plan
Build
1–2 week cycles
Working software in short cycles, tested automatically at every step.
Short iterations, regular demos and quality checks on every change.
Tested, working releases
Run
Continuous
We launch safely, watch it closely and keep making it better.
Secure launch, proactive monitoring and continuous improvement.
Ongoing improvements
FAQ
AI invoice & data entry: common questions.
Straight answers to the questions we hear most often.
Which accounting systems do you connect to?
Common ones such as QuickBooks, Xero, Zoho Books, Odoo and SAP Business One, plus any system with an API or a reliable import format.
What happens when the AI isn't sure?
The invoice goes to an exception queue with the uncertain fields highlighted. Nothing is posted until it passes your rules or a person approves it, and high-value invoices can always require sign-off.
Can it handle different languages, currencies and tax rules?
Yes, within the languages the extraction model supports. We test with your actual suppliers' invoices and design around the e-invoicing and tax rules that apply to you.
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