AI in the finance function
AI already works in finance. Just not where it's being advertised.
We show you where AI delivers real savings in your financial processes, where it isn't worth it — and if it is, we implement it. Within two weeks you'll have a concrete picture backed by numbers.
Sound familiar?
Everyone is talking about AI, but little has changed in the finance function. Meanwhile the real problems are still there:
- Someone still keys in the data from incoming invoices by hand
- Much of the monthly close is spent on reconciliation and error-hunting
- The same piece of data has to be entered in three places
- The team is overloaded, but there's no capacity for improvement
- There was an impressive AI demo once — and then nothing came of it
What we do
We don't sell software. We assess where automation makes commercial sense in your specific processes — and then implement it.
Invoice and document processing
Automatic extraction of incoming invoices, contracts and supporting documents, prepared for posting. This is where the gains are largest and arrive fastest.
Automated reconciliation
Machine matching of bank items, customer accounts and supplier balances. People only handle the exceptions — the cases that genuinely need their judgement.
Reporting and commentary
Automatic identification of variances, with written explanations. It isn't the report that gets faster — it's everything that used to come after it.
Controls and anomaly detection
Automatic flagging of unusual items, duplicate invoices and suspicious patterns — continuously, not just at year-end.
How it works
Four steps, with a clear timeline and a fixed fee.
1. Free introductory call
Thirty minutes to understand how things work today, and an honest answer on whether we see meaningful potential. If we don't, we'll say so.
2. Process assessment
Over two weeks we follow your financial processes end to end and measure where the time goes. This becomes the baseline.
3. Business case
A written recommendation: what is worth automating, with what tooling, what implementation costs, and how long until it pays back. Numbers, not promises.
4. Implementation and measurement
Implementing the approved elements, training your team, then measuring actual results against the baseline.
What to expect
Less manual data entry
The typical first step is incoming invoice processing — usually the largest and most visible saving.
A shorter monthly close
Automated reconciliation speeds up one of the slowest parts of the close process.
Fewer errors
Machine processing doesn't get tired and doesn't misread a digit on the last day of the month.
Specialist capacity freed up
Your team gets time for what you hired them for — analysis and decision support, not data entry.
Frequently asked questions
Do we have to replace our current system?
In most cases, no. The solutions we recommend typically sit alongside your existing system rather than replacing it.
What happens to our data? Is this secure?
Data handling is the first thing we clarify in any implementation: where data is stored, who has access, and what happens to it. We recommend solutions with European data processing and GDPR-compliant operation.
Will this take work away from our finance team?
In our experience it doesn't remove work, it changes it. Repetitive data entry goes down, and time opens up for things there was never room for. In practice this usually means relief from overload rather than redundancies.
What does it cost?
The introductory call is free. The process assessment is delivered for a fixed, agreed fee, and ends with a written business case — on the basis of which you are free to decide whether to continue.
How long before we see results?
The assessment takes two weeks. A first, well-defined automation step can typically go live in a further 4–8 weeks.
Let's find out whether it's worth it for you
After a 30-minute conversation you'll know whether this is worth pursuing. If it isn't, we'll tell you honestly — and that costs nothing either.