Use case: AI adoption
Listen & move forward.
Your people know where AI saves them time and which tools they gave up on. Nobody has asked all of them.
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See it in action
See Sona8 in a minute.
What we ask about
Which tasks people already hand to AI, and the time it saves
What stops everyone else, from access to training to plain distrust
Who has worked it out and could teach the rest
What comes back
Use cases by function
Blockers ranked by how many people hit them
Named internal experts per task
What stops people using AI.
Example only, not a client result. Ranked by how many people ran into each one.
88
of 200
Not allowed. Customer files may not go into public AI tools, and the approved Copilot cannot open the SharePoint folders where they are kept.
IT
Give Copilot read access to the project folders.
61
of 200
Not allowed. Teams transcription stays off until there is an agreement with the works council, so meeting notes are still typed by hand.
HR
Put a transcription agreement to the works council.
54
of 200
No access. Copilot licences went to managers first. Most people who write reports all day do not have one.
IT
Move unused licences to the teams that asked for them.
47
of 200
Unclear. Nobody can say whether a draft tender may go through AI, so people do not try.
LEGAL
One page of rules for each type of data.
Client example
400 interviews at an 87.5% participation rate found 35 AI use cases and 13 barriers.
Try it yourself
Talk to the interviewer.
Ask it about your own work. It will probe where AI fits and where it gets in the way.
Uses your microphone. Takes about 5 minutes.
Hear your own people on AI adoption.
Niklas Schneider
Founding Account Executive
First call
- 30 minutes
- Video call, link in the invite
- Berlin time (CET)
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