Why digitization can still feel like hard work
Privacy first
Why does digitization still feel difficult?Many talk about what AI can do
without the practical experience to know what it really takes.
Do any of these sound familiar?
If two or more apply, we should talk.
Escape the digitization trap
What you actually want is automation.
What you were probably sold was digitization.
You are not alone.
Digitization
You retype invoice data because OCR does not capture everything.
You double-check account suggestions because they are unreliable.
Supplier clarifications run through endless email threads.
New vendors are created manually in a separate step.
You calculate split postings by hand.
You manually assign approvals to the right person.
Recurring invoices such as rent still cross your desk every time.
You manually match invoices with purchase orders.
Automation + AI
Invoices are read automatically and fields are extracted reliably.
Coding is based on your postings and improves with every document.
Structured clarification paths with context and ownership.
New vendors are detected and created automatically.
Stored allocation keys split postings across any number of cost centers.
Routing by amount, department and cost center
Known vendors are posted automatically, without intervention.
Three-way matching: purchase order ↔ delivery note ↔ invoice, line by line.
More than 1,000 companies already work with us
On-time closes, every month.
No more month-end overtime.
Shorter cycle times.
Transparent controlling.
More time for what matters.
Growth without proportional headcount.
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- Tailored to your priorities
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- Answers to all your questions
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Frequently asked questions
Which accounting tasks can Flowers automate?
Flowers captures invoice data, prepares coding, routes approvals, structures exception handling and matches purchase orders, delivery notes and invoices. Exceptions remain visible to the responsible people.
Do we need to replace our ERP or accounting system?
No. Flowers complements existing systems and transfers reviewed data through suitable interfaces or exports. The integration path is checked together before implementation.
How is knowledge retained when employees change?
Rules, responsibilities, coding logic and clarification paths are embedded in the process. Daily work depends less on individual knowledge, email threads or personal spreadsheets.
What happens to exceptions?
Exceptions are neither hidden nor posted blindly. Flowers flags deviations, adds the relevant context and routes them transparently to the right person.