DigiRAG · business workflows
AI document processing
Extract and organise useful information from documents instead of copying it repeatedly.
Illustrative scenario
A practical starting point
Incoming invoices or forms are read, key fields are identified and a structured result is prepared for the next step.
Check uncertain fields and agree the output format, retention and access before connecting downstream systems.
What to agree in the implementation
Specify supported sources, document types, fields and output destinations. OCR can help with scans, but image quality and extraction settings affect results. Excel and CSV are examples: another agreed format or an integration into an accounting workflow may be appropriate. Posting, approvals and payment need separate permissions and controls.
What to prepare for a first test
Select real document types, the fields required in the output and difficult examples such as scans or missing pages. Agree how an operator will correct uncertain extraction.
Decide what happens next
Administrators define the permitted sources, tools and access. Depending on the process, a step can run directly, request a review or pass the case to a person.
Part of the wider platform
Combine this workflow with company knowledge search, other agents and a workspace for tasks and results. Start with one process and expand when it makes sense.
Need a different process? We can also build a tailored solution.
BUSINESSAI · LUXEMBOURG
Which piece of work would you change first?
Tell us about the process, its users and the result you need. We will help define a sensible next step.