SME
SME is described as a separate step: input, data source, rule, result, and possible stop point.
AI automation in Germany
For German companies, efficiency must come with data protection, traceability, and clear approvals.
GDPR
E-invoice
DATEV
Approvals
What is clarified?
The page is for small and mid-sized teams working with e-invoicing, accounting, CRM, and documents.
GDPR
GDPR is described as a separate step: input, data source, rule, result, and possible stop point.
E-invoice
E-invoice is described as a separate step: input, data source, rule, result, and possible stop point.
DATEV
DATEV is described as a separate step: input, data source, rule, result, and possible stop point.
CRM
CRM is described as a separate step: input, data source, rule, result, and possible stop point.
Approval
Approval is described as a separate step: input, data source, rule, result, and possible stop point.
How does the process work?
Typical systems include email, CRM, DATEV-related processes, lexoffice, sevDesk, spreadsheets, documents, and cloud storage.
Diagnosis
One narrow work area is chosen and checked with real examples.
Process map
Inputs, data, rules, roles, and exceptions are made visible.
Test run
A small prototype shows whether automation works in daily operations.
Operation
The flow receives limits, approvals, logs, and clear ownership.
Where does control stay?
GDPR, processing roles, permissions, and approvals must be described before real operation.
GDPR
E-invoice
DATEV
Approvals
FAQ
Start with a repeated process where time, money, or control is visibly lost.
No. The first step can focus on one clear process and the most important data sources.
It organizes information, prepares text or decisions, and shows open points.
A person decides on exceptions, risks, approvals, and all cases marked as critical.
Check a German automation case
The diagnosis shows which data and systems fit a first safe pilot.
Start diagnosis