Documentation by Voice Message.
In many companies, important communication runs through messengers such as WhatsApp, Teams or Telegram. Information is spoken – but has to be documented manually later. The AI Concierge records voice messages directly and automatically turns them into structured documentation based on a template. This relieves teams by up to 80 %.
When information is everywhere – but documented nowhere
Information disappears in the thread
Whether WhatsApp, Teams or Telegram: content is shared quickly, but hard to find again later – especially when several topics run in parallel.
No template, no structure
Voice messages often contain the right information – but without mandatory fields, context and format. This leads to gaps and manual rework.
Hard to trace
Clean documentation requires consistency: who reported what and when, what was decided, what is still open? In a chat this is rarely auditable.
How a voice message becomes clean documentation
Instead of reworking chats, documentation is created while you speak – automatically structured and immediately usable.
Send a voice message
Employees speak information directly – via chat or through a documentation bot.
Structure automatically
The AI Concierge recognises the content and transfers it into a predefined documentation template.
Identify gaps
If important details are missing, the system asks targeted follow-up questions before the documentation is completed.
Store centrally
The finished documentation is available in a structured, searchable form for other teams.
Documentation that thinks ahead
Spoken information becomes directly usable documentation – without switching media, without rework.
What you get in the end
Structured minutes
Every voice message is turned into a uniform document – complete, traceable and built according to your template.
Tasks & actions
Open items are identified and clearly worded – so nothing gets lost or forgotten in conversation.
Searchable history
Instead of chat histories, you get a central knowledge base – findable by date, project or topic.
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