For AI enablement & change teams
Roll out AI tools. Actually know if they land.
Licences bought is not adoption. Tadeus puts a voice agent in front of every employee to hear what they actually use, where AI helps, and what quietly blocks them, so your AI program is steered by evidence, not dashboards of logins.
No audio kept · No video · No emotion inferred from voice
What changes for the program
Real
Usage and blockers from people, not just seat-licence telemetry
Whole
Workforce heard each cycle, not a survey panel
Measured
Adoption movement you can take to leadership
The adoption gap
The tools are deployed. The behaviour didn't change.
Most AI rollouts stall after procurement. Usage telemetry tells you who logged in, not whether AI changed how work gets done, and the people who quietly went back to the old way never show up in a dashboard.
Logins aren't outcomes
Seat activity looks healthy while real workflows carry on unchanged underneath it.
Quiet abandonment is invisible
People try a tool, hit friction, and revert, and nothing in the data flags it.
Training misses the real blockers
Generic enablement can't address the specific reasons each team isn't adopting.
Surveys get the polite answer
Written check-ins surface optimism, not the candid 'I don't trust the output' truth.
No feedback loop to the rollout
By the time issues are understood, the next tool is already being pushed out.
Leadership wants proof, not vibes
Executives funding AI want measured adoption, not anecdotes from the enthusiasts.
How it works
An adoption signal from the workforce.
Tadeus runs as a recurring voice conversation across your organisation, turning how people really use AI into a structured, trackable signal.
- 01
Define what adoption means here
Set the behaviours that matter: which tools, which tasks, what 'good' looks like for each role.
- 02
Talk to everyone, not a panel
Every employee shares what they use and where they're stuck, in their own words and language.
- 03
The agent digs past the surface
It probes vague answers, captures concrete blockers, and distinguishes real use from box-ticking.
- 04
Get a structured adoption picture
Usage, confidence, and blockers come back segmented by team and tool, not free text to read.
- 05
Fix the blockers, then re-measure
Target enablement where it's needed and re-run to show adoption moving over time.
What the enablement team gets
Adoption you can steer and prove.
Turn an AI rollout into a measured program with a feedback loop tight enough to act on each cycle.
Measure real adoption
Go beyond logins to what people actually do differently because of the tool.
Find the real blockers
Hear the specific friction stopping each team and fix it directly.
A continuous feedback loop
Recurring conversations track adoption over time instead of one-off surveys.
Segment by team and tool
See exactly where AI is landing and where it needs another push.
Proof for leadership
Show measured movement that justifies continued investment in the program.
Enterprise-safe by design
Voice only, no audio retained, no emotion inference, clear of the EU AI Act line.
Built to turn rollout into real adoption.
Directional impact of replacing usage telemetry and surveys with a real-time voice layer.
Real
Behaviour change captured, not just seat activity
100%
Of the workforce reachable each cycle
Ongoing
Recurring signal, not a once-a-year survey
70+
Languages handled natively in one design
Built for regulated workplaces
Compliant by design, not by disclaimer.
The EU AI Act prohibits emotion inference in the workplace from February 2025. Tadeus was built clear of that line from day one, so the hardest question an enterprise buyer asks is already answered.
No audio retained
We work from the transcript. Raw audio is never stored.
No video or faces
Voice only. No facial biometrics, nothing the camera captures.
Comprehension, not emotion
We read what was said, not feelings inferred from how it sounded.
Configurable by region
Region-gated controls so EU deployments stay clear of the AI Act line.
GDPR-aligned · We do not train models on your data · Data encrypted in transit and at rest
FAQ
Questions teams ask us first.
How does Tadeus measure real AI adoption?
It interviews employees in voice about what they actually use, where AI helps, and what quietly blocks them, turning adoption from login telemetry into measured behaviour change segmented by team and tool.
Why not just rely on seat or usage telemetry?
Telemetry shows who logged in, not whether work changed. Tadeus captures the candid reasons people revert to the old way, the 'I don't trust the output' signal dashboards never show.
How often can we run it?
It runs as a recurring conversation, so adoption becomes a continuous, trackable signal you can act on each cycle rather than a once-a-year survey.
Is it compliant?
Voice only, no audio retained, and no emotion inferred from voice, clear of the EU AI Act line.
Make AI adoption something you can measure.
See how Tadeus turns your AI rollout into a steered program, with proof of adoption leadership can trust.
Or talk to us about your AI program