For HCM & payroll platforms
Roll out HCM to a global workforce, without the implementation drag.
Every large HCM rollout stalls in the same place: confirming that thousands of employees, across every country and language, actually understood the new system. Tadeus puts a real-time voice agent inside that step. It interviews at scale, catches confusion live, and returns a structured readiness record.
No audio kept · No video · No emotion inferred from voice
Where it changes the rollout
Weeks
Time-to-confidence on comprehension, not quarters of survey chasing
1 agent
Interviews the whole workforce in parallel, no schedulers or panels
70+
Languages handled natively in the same conversation
The implementation bottleneck
The software ships fast. Adoption is what drags.
Configuration and data migration are solved problems. The slow, expensive part of every global HCM rollout is the human layer: making sure each employee can actually use enrolment, self-service, and payroll, in their own language, before go-live.
Comprehension is invisible
Click-through training tells you people finished a module, not whether they understood enrolment or their pay statement.
Surveys arrive too late
By the time post-go-live survey results come back, the support tickets and payroll errors have already happened.
Language fragments the project
Every additional country means more local facilitators, more scheduling, and more inconsistent feedback to reconcile.
Change requests hide in noise
The signal that a workflow is confusing is buried in helpdesk volume instead of captured as structured input.
Scale breaks the old method
Interviews and focus groups don't reach 50,000 employees across 40 countries before a go-live date.
Risk lands on the platform
A rough rollout reflects on the HCM provider, not just the customer's change team.
How it works
A voice agent inside the rollout.
Tadeus drops into the implementation as a deployable conversation layer, embedded in your platform or run alongside it during the rollout window.
- 01
Define the rollout conversation
Set the questions that matter for this go-live: enrolment understanding, self-service confidence, payroll clarity. Define them once, for every market.
- 02
Deploy to the whole workforce at once
Employees complete a short voice conversation in their own language, on their own time. No scheduling, no facilitators, no panels.
- 03
The agent acts mid-conversation
It verifies identity, branches on answers, re-explains a confusing step, and calls into your systems to resolve or flag issues in the moment.
- 04
Return a structured readiness record
Comprehension, confidence, and open issues come back as structured data per team, site, and country, not a pile of free-text to triage.
- 05
Fix before go-live, prove after
Target the markets that aren't ready, then re-run to show measurable readiness movement to the steering committee.
What the platform team gets
Faster rollouts, provable adoption.
The same voice layer that accelerates a go-live can stay embedded for every future change, so implementation becomes a differentiator instead of a cost center.
Compress the go-live timeline
Confirm readiness in parallel across markets instead of sequencing country-by-country enablement.
One method, every language
Native multilingual conversations mean consistent data from every country without local facilitators.
Comprehension as evidence
Replace completion percentages with proof that employees understood enrolment, self-service, and pay.
Readiness scoring by segment
See exactly which teams, sites, and regions are ready and which need another pass before go-live.
Embed it in the platform
Run Tadeus as an embedded layer inside your HCM product so adoption insight ships with the software.
Enterprise-safe by design
Voice only, no audio retained, no emotion inference, clear of the EU AI Act line for regulated rollouts.
Built for the part of the rollout that usually slips.
Directional impact of moving comprehension and feedback from manual chasing to a real-time voice layer.
Weeks
From go-live to verified comprehension, not quarters
100%
Of the workforce reachable in one deployment
70+
Languages handled natively, same conversation design
0
Schedulers, panels, or facilitators to coordinate
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 speed up a global HCM rollout?
A single real-time voice agent interviews every employee in their own language during go-live, confirms they understood enrolment, self-service, and payroll, and returns a structured readiness record per team, site, and country. Comprehension is verified in weeks instead of chased over quarters.
Can Tadeus be embedded inside our HCM platform?
Yes. Tadeus can run as an embedded conversation layer inside your product or alongside it during the rollout window, so adoption insight ships with the software rather than bolting on afterwards.
How many languages does it handle?
70+ languages natively, in the same conversation design, with no local facilitators, panels, or separate per-country studies to reconcile.
Is it safe for regulated, enterprise rollouts?
Tadeus is voice only, retains no audio, and infers no emotion from voice. It was built clear of the EU AI Act emotion-inference line from day one.
Make adoption the fast part of your next HCM rollout.
See how Tadeus embeds a real-time voice agent into your implementation and confirms comprehension across every market before go-live.
Or talk to us about an embedded rollout