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Document processing agents
for digitizing medication supply in care
Level 1 · The Company
Meet hellomed
Berlin health-tech, founded 2022
Digitizing medication supply for professional care
100+ care locations served
Blister supply via partner pharmacies
One platform: care, pharmacy, doctors
Level 2 · The Problem
Everything sorted by hand
Every fax, scan and email landed in one inbox, and a person opened and typed in each one.
- 1Read the document
- 2Recognise the type
- 3Assign a team
- 4Find the patient
- 5Split the documents
- 6Rename the PDF
- 7Upload to the system
- 8Type in the data
No early prioritisation
Content was only known after opening. Tickets sat in one pot as “Other”.
High manual effort
Typing in by hand caused errors and cost time on every document.
Responsibility ping‑pong
Up to 50 patient documents per file, forwarded from team to team.
Level 3 · The Agent Belt
Watch the inbox run itself
Start the belt, then check the two documents the agent hands to you.
The belt
Inbox
AI agents
Ready for the team
8
0
Read · Sort · Split
Match patient
Schematic document, no real data.
Inbox cleared, two checked by a person
Illustrative data, not hellomed data. Schematic documents, fictional patients.
Start the belt and clear both documents to unlock the results
Level 4 · The Results
How we got there
134 hours back every month. Same team, 27% more tickets.
The Outcome
Live in production
134 h
of working time saved every month
+27%
more tickets per working day, handled by the same team
82%
of tickets handled with high confidence at every step
Triage agent
Reads, sorts, splits, finds the patient
Document admin agent
Extracts the data, uploads once approved
People stay in control
The team approves every upload
The stack
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