A payroll system that turned a monthly build into a monthly review
Payroll is calculated from recorded inputs, reviewed once and sent as payslips in a single batch, with every change logged.

Industries
Accounting work is precise, but the documents behind it are messy. We build tools that collect, read and file them, so your team spends its time on the numbers that need judgment.
Common challenges
Accounting firms, bookkeepers and in-house finance teams spend a large share of their week on work that is not accounting. They chase clients for documents, open attachments, retype invoice lines, rename files and build the same reports each month. The actual judgment calls get squeezed into what time is left.
Modern AI models are good at reading invoices, receipts and statements and turning them into structured data. Combined with the APIs of accounting systems such as Xero and QuickBooks, they can remove most of the retyping. The key is to check the output and keep people in charge of what gets posted.
We build client portals, document intake and processing pipelines, and reporting dashboards around the accounting system you already use. Every automated step leaves a record, confidence levels decide what needs review, and your team approves anything unusual before it reaches the books.
What we build
The services accounting firms and finance teams ask us for most often.
A secure place where your customers upload documents, check status, pay and message your team.
Read invoices, forms, contracts and IDs, pull out the right fields and route them for review.
Dashboards that pull numbers from the systems you already use and show what matters without a spreadsheet.
Make two systems share data reliably, with retries, logging and alerts when something goes wrong.
Solutions that fit
Read supplier invoices, match them to orders and push approved ones into accounting, with exceptions flagged for review.
Snap a receipt, and the details are read, categorized and matched to the card transaction and the right project.
Reports that build themselves from your systems on schedule, with a plain-language summary of what changed.
Read forms, applications, IDs and statements, extract the fields you need and route each document for the right review.
Case studies
Payroll is calculated from recorded inputs, reviewed once and sent as payslips in a single batch, with every change logged.
In practice
An illustrative walk-through, not a client story.
A bookkeeping firm with two hundred small business clients sets up a client portal. Each month, clients upload receipts and bank statements from their phone or forward them to a dedicated address. The portal shows each client what is still missing, which cuts the number of reminder emails.
An AI model reads each receipt and invoice, extracts the supplier, date, amounts and tax, and suggests an account based on past postings for that client. Items with high confidence are prepared as drafts in the accounting system. Items with low confidence, or anything above a set amount, go to a bookkeeper to check. Every entry keeps a link to its source document, so questions at year end take minutes instead of hours.
Because every step is logged, partners can see how many documents were processed, how many needed review and where errors came from. That makes it easy to tune the rules over time.
Where to start
Most firms start with invoice processing or receipt processing because the volume is high and the time saved is easy to measure. Both connect to Xero, QuickBooks and similar systems through their APIs.
The next step is usually a client portal for document collection, followed by automated reporting and dashboards for clients who want to see their numbers during the month rather than after it. We schedule changes outside month end and year end, so your team is never learning a new tool during a close.
Models and tools
These connect AI to the tools this industry already uses. We pick per project and test on real data first.
Keep exploring
FAQ
Have a question that is not here? Ask us directly.
Accuracy on clear documents is high, but not perfect, so we measure it on your own documents before launch and route low-confidence items to a person. See AI document processing.
Yes, through their official APIs, as well as other accounting systems with an API. See API integration.
Only if you want it to, and only for the cases you choose. Most firms start with drafts that a bookkeeper approves.
Access is limited by role, data is encrypted, and we use AI services with business terms that do not train on your data. See security and IP ownership.
Start a project
Send a short brief. We reply with questions, a suggested plan and an estimate you can compare with other offers.
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