06AI implementation
Finance AI implementation: invoices, expenses, the close, and the forecast
Every function on this site can be automated. Finance is the only one where the result can be checked line by line afterwards, because finance already runs a system whose entire purpose is that every entry has to balance against another entry. That changes what this page can promise, and it changes how the engagement is paid for. More on that below, because it is the real reason this page exists.
01
What gets automated
- 01
Reading and coding supplier invoices. Invoices arrive as PDFs, email attachments, photos and portal downloads, in every layout their sender felt like using. The system reads them, pulls the vendor, dates, line items, tax and totals, matches them to the purchase order and the receipt, codes them to the right account, and sends only the exceptions to a person.
- 02
Checking expenses instead of skimming them. Every claim gets checked against policy, not the 1 of 20 someone had time for. Duplicate receipts, out-of-policy categories, split claims sitting just under an approval limit, the same taxi twice. The system flags them with a reason attached, which is what makes the flag useful.
- 03
Payroll checks before the run, not after. Hours that do not match the roster, a rate that changed without a corresponding record, a leaver still on the file, a new joiner missing a tax detail. Payroll errors are expensive to unwind and cheap to catch the day before.
- 04
Anomaly and fraud flags. Unusual payment patterns, a bank detail changed shortly before a large payment, a supplier invoicing an amount unlike anything it has ever invoiced, journal entries posted at odd hours. These are flags for a person to look at, never automatic blocks.
- 05
Shortening the close. Bank and intercompany reconciliations matched automatically, accruals drafted from prior patterns, variance explanations drafted with the underlying transactions attached, the checklist chasing its own owners.
- 06
Forecasts that refresh themselves. Instead of a model rebuilt by hand each quarter, the forecast updates as actuals land, with the assumptions visible and every change logged. When it moves, you can see which assumption moved it.
02
The close, day by day
Before
Day 1 to 3 chasing accruals by email. Day 4 reconciling banks in a spreadsheet. Day 5 finding a variance nobody can explain. Day 6 to 8 explaining it. The pack lands after the decisions it was meant to inform were already taken.
After
Reconciliations matched overnight and the breaks queued by size. Accrual drafts waiting on day 1 for review rather than for construction. Variances arriving already attached to the transactions that caused them. The controller's job becomes deciding whether the answer is right, instead of assembling it.
03
Why the baseline is clearest in finance
This is the part that ties finance to how the whole arrangement is paid for.
Praxis is paid from the measured gain, which means the measurement has to be something both sides can check. In most functions that takes work to construct. In finance it already exists.
Your ledger already records what supplier invoice processing costs. It already records headcount and hours in the finance team. It already records how many days the close takes, what was paid in late-payment charges, what was lost to duplicate payments, and what early settlement discounts were missed because approval took too long. None of that has to be built for our benefit. It was there before we arrived and it is signed off by people who do not work for Praxis.
So the starting point is not a number we propose and you accept. It is a set of lines your own accounts already produce. Afterwards, the same lines are read the same way. If they do not move, there is nothing to share.
That auditability is the strongest version of the arrangement anywhere in the business, and it is why finance is often the right function to start with even when it is not the noisiest problem. The mechanics are set out on how the payment works.
04
What stays human
Anything requiring a signature. Any judgment about a tax position. Revenue recognition on a non-standard contract. Anything an auditor will ask a person to defend. Releasing a payment. Deciding what an anomaly means once it has been flagged.
The automation prepares, checks and drafts. It does not approve. Segregation of duties is not a preference here, it is the control that stops a single compromised account from paying itself, and automation must strengthen it rather than quietly route around it.
05
What this typically runs on
Usually QuickBooks Online, Xero, NetSuite or Sage Intacct as the ledger, with Bill.com, Ramp, Brex or Expensify handling payables and expenses, and Gusto or ADP on payroll. Whichever you already have. We would rather automate around your existing ledger than move you off it, because a migration turns a 2 month project into a 9 month one and the measurement baseline goes cloudy in the middle of it.
Questions
What should you know before the first call?
- Can AI code supplier invoices to the right account on its own?
- Yes, for the routine majority. AI reads an invoice in whatever layout it arrives in, extracts vendor, dates, line items and totals, matches it to the purchase order and receipt, and applies the coding rules your ledger already uses. Invoices that do not match cleanly are sent to a person with the reason for the mismatch attached, rather than being forced through.
- Does automating finance mean an AI can approve payments?
- No. Automation prepares, matches, checks and drafts. Approving and releasing a payment stays with a named person, because segregation of duties is the control that stops a single compromised account from paying itself. Any design that lets software both create and approve a payment has removed the protection it was meant to keep.
- Will automated accounting pass an audit?
- It can, provided every automated step keeps a record of what it did, what it read, and who approved the result. Auditors ask what happened and who decided. Automation that logs both is straightforward to evidence, and often easier to evidence than a manual process that lived in someone's inbox.
- Why is finance the easiest place to prove that automation paid off?
- Because the measurement already exists. Invoice volumes, finance headcount and hours, close duration, late-payment charges, duplicate payments and missed early-settlement discounts are all recorded in the ledger before any automation starts, and they are signed off by people who do not work for Praxis. The before and after are read from the same source.
- Does this mean changing accounting systems?
- No, and we would usually argue against it. Automation is built around the ledger you already run, whether that is QuickBooks Online, Xero, NetSuite or Sage Intacct. A system migration makes the work far longer and blurs the very measurement the arrangement depends on.
Where this leads
This page is one part of the whole offer: AI across the whole business.
Start with a free consultation
Tell us how an invoice gets from the inbox to the ledger today and how long the close takes. We will tell you what can be read, matched and drafted automatically, what stays with a person, and what we would build first. The call costs nothing and ends with a plain list either way.
No obligation · a scoping conversation first