Case study
Proactive meeting assistant.
This AI-powered transcriber designed to support meetings by listening in real time, understanding context, and suggesting relevant resources without disrupting the conversation. Beyond transcription, it delivers clear summaries, action points, and follow-up insights, reducing administrative load and helping practitioners stay focused on the human side of care.
Less administration.
More attention.
Better conversations.
Across industries, professionals are expected to do two things at once. Be fully present in complex conversations, while simultaneously documenting everything accurately, structurally, and on time. This way of working is inefficient, mentally exhausting, and risky for quality and continuity.
The proactive meeting assistant exists to remove that friction. Quietly. Reliably. Without taking over the conversation.
From transcription to action.
There are plenty of tools that can convert a conversation into text. Great for archiving. But then you’re still left empty-handed.
Our tool doesn’t get stuck on what was said. It understands what needs to be done.
After the meeting, you don’t have to translate, copy, or chase anything up. Everything is already in the right place. In your tools. According to your way of working.
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Listens in real time
Not recording to review later. Actively listening while the conversation happens. Like someone quietly in the room who understands everything and never zones out.
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Summarizes what actually matters
No word-for-word transcript. Just the essence. What was said, what was decided, and what became clear without anyone spelling it out.
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Automatically detects decisions
Decisions don’t get lost or watered down. They’re recognized the moment they’re made. No one has to announce “this is a decision.”
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Turns decisions into actions
Tasks emerge naturally from the conversation. Not as loose to-do items, but logically linked to the right people, teams, and systems.
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Pushes actions and agreements through immediately
Action points and agreements are sent straight into tasks and calendars. No separate lists. The conversation ends, execution has already started.
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Retrieves relevant information while you speak
Context from the wiki surfaces during the conversation. Not afterward. Not when everyone has already moved on to the next meeting.
What this means in practice.
The thinking meeting assistant documents in the background, so professionals can stay fully present in the conversation. That results in 3x faster documentation and 40% less time spent on reporting.
In practice, this means fewer evenings lost to notes and follow-ups. Lower cognitive load during and after meetings. No distractions. No context switching. Just attention where it actually matters.
Fewer mental switches during conversations
Listening, thinking, and taking notes at the same time doesn’t work.
Speech-driven capture takes that load away and keeps the conversation sharp.
Better information. Not more information.
Spoken capture preserves nuance and context.
The result is clearer summaries and concrete actions.
Less copy-paste. More
reliability.
Each record is created fresh and structured.
That reduces errors and increases trust.
More focus
during
conversations
Attention stays with the discussion.
Not with the document that still needs to be written.
Human-in-the-Loop
Decision support without loss of autonomy.
AI can strengthen reasoning, create overview, and add speed. But only as long as it supports rather than takes over. That line matters. We guard it deliberately.
That’s why we design our solutions around the Human-in-the-Loop principle. AI does the heavy lifting. Humans keep the judgment. Not as an afterthought, but as a built-in part of the process.
The right decisions are delegated to Artificial Intelligence
Critical decisions remain with people
Assumptions, risks, and ethical boundaries are made explicit
AI output is explainable, contextual, and immediately usable
Learn how the proactive meeting assistant can help your organization have better consultations.
Ready to transcribe your everyday conversation?
