01
Recurring
The same checks appear every day or every week: invoices come in, data is compared, exceptions are passed on.
Digital employees Finance
AI in accounting with a digital finance employee.
AI in accounting works well when it is given a clearly defined task: reading invoices, checking goods receipts, comparing prices, preparing DATEV CSV exports, and marking exceptions.
A digital finance employee does not replace the accounting department. It removes recurring checking and comparison work from day-to-day business, makes deviations visible, and passes unclear cases on to people.
Process view Finn in the Invoice Ops channel Example view: Finn reports the status of invoice processing, highlights discrepancies and keeps cases visible for manual review.
Screenshot of a Slack view in which Finn summarizes results of automated invoice processing in the invoice-ops channel. 01 Why finance
Why accounting often works better than the first reflex suggests.
Accounting is a good starting point for digital employees because many tasks are recurring and have clear boundaries. A digital finance employee can read receipts, reconcile data, prepare export files and extract the cases that a human should review.
02
Rules based
There are threshold values, approvals, mandatory fields and clear exceptional cases. Exactly the kind of structure a digital employee needs.
03
Measurable
You can quickly see how many documents have been checked, prepared or escalated. Results and effort can be directly compared.
02 An example: Finn
Finn checks invoices before breakfast.
Finn is a digital finance employee. It communicates via Slack and starts automatically in the morning. Its task is clearly defined: check invoices from a defined folder and prepare them for further accounting.
- 01 · Input
Invoices are in a defined folder.
Source, format and responsibility are determined in advance.
- 02 · Reading
Finn reads the invoice and checks the relevant data.
Supplier, line items, amounts, VAT number, mandatory fields.
- 03 · Reconciliation
It compares product and price data with existing systems.
Order, goods receipt, stored conditions.
- 04 · Prepare
Cases within defined limits are prepared for DATEV.
Structured, commented, in the right format for accounting.
- 05 · Handover
Deviations go to people with context.
With a note as to why the case does not continue automatically.
The important point is not that Finn does everything alone. The important point is that Finn reliably prepares the recurring work and makes deviations visible.
03 Tasks
What a digital finance employee can do.
The list is typical, not exhaustive. Which steps are automated depends on the process.
- 01
Read and classify invoices
- 02
Compare goods receipts and invoice data
- 03
Check prices and thresholds
- 04
Prepare approval cases
- 05
Create or prepare accounting exports
- 06
Hand over deviations to people with reasons
This is not a disadvantage, especially with financial data. Good boundaries make the digital employee useful.
04 Approval & control
Approval stays a conscious decision.
In finance, a digital employee cannot simply improvise. It needs rules, roles, thresholds, and logs. Otherwise automation becomes a risk.
01
Defined thresholds
Which cases may the employee prepare, and where is the line?
02
Approvals and escalations
Who decides when to escalate and to whom the case goes.
03
Audit logs
Every relevant step remains traceable and verifiable.
04
Role-based access
Per system, per data type and task, not across the board.
EU hosting and no use of customer data for provider training are standard. Details are on the security page. We explain the basic working model under digital employees.
05 Approach
The first step is a pilot, not a big rollout.
We usually start with a workshop. There, we look for a process that occurs often enough and can be limited clearly enough.
The digital employee then receives a name, a visible identity, a channel such as Slack, Teams or email and an initial task.
When this task works, it expands: more document types, more data sources, more approvals, more automation. Step by step.
06 Frequently asked questions
Frequently asked questions.
What exactly can AI do in accounting?
Recurring tasks with documents, rules, and clear exceptions are suitable: checking invoices, reconciling goods receipts, comparing price data, preparing CSV exports for downstream accounting processes, or marking cases for approval.
Can a digital employee approve invoices?
It can prepare or mark invoices within defined rules. Whether it approves an invoice itself depends on the process, thresholds, and internal approval rights.
How does the handover to people work?
Deviations, uncertainties or cases outside defined limits are handed over to people with context. This makes it clear why a case does not continue automatically.
Can DATEV be connected or prepared?
A digital finance employee can prepare data so that it can be used for downstream accounting processes, for example as a CSV export for a DATEV import. The exact connection is checked for each setup.
How secure is accounting and financial data?
thirdmind works with EU hosting, roles and rights, audit logs, human-in-the-loop, and no use of customer data to train third-party LLMs. The specific security architecture is defined in the project.
Does our system have to be in the cloud?
No. Projects can also involve on-premise systems. What matters is which data the digital employee needs for the task and how securely that data can be accessed.
Start a conversation
Is finance the right first digital employee for your team?
Talk about a finance pilotYuno asks four short questions about process, volume, data, and decision scope. After that, it is clearer whether a finance pilot makes sense.