The candidates were thrilled. Many thanked us for reaching out. We could never have achieved this with a normal call centre — neither in time nor in quality.
Dr. Martin Zieger
CEO, Powerserv Austria GmbH
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Powerserv Austria: 78% goal-achievement on GDPR and applicant-onboarding calls
Powerserv runs two distinct outbound voice workflows on itellicoAI: DSGVO consent renewal for retained applicant data, and Hallo Bewerber first-touch calls — a combined compliance and candidate-experience use case.
78%
goal-rate
Minuten
first contact
100%
audit-ready
~2 min
avg call
Challenge
Company
Two pressures hit at once. Compliance: Austrian DSGVO obligations require periodic re-confirmation of consent for retained applicant data — manual phone outreach at the necessary scale isn't viable, and untouched records are a regulatory liability. Candidate experience: every minute between application and first contact erodes conversion. Email automations feel templated; phone callbacks come in two days, after the candidate has moved on.
HR & Recruiting
Solution
Used Use Cases
itellicoAI runs both workflows on the same account. The DSGVO consent agent calls each retained applicant, asks the single yes/no consent question, logs the response into the platform's structured goal-analysis, and either renews the retention record or removes the contact from future campaigns. Every call has a recording, a transcript, and a documented retention window. The Hallo Bewerber agent calls every new applicant within minutes, confirms receipt, sets expectations on next steps, and hands the conversation to a recruiter when the question goes off-script.
Execution
Execution model
This case follows a practical rollout pattern that combines clear KPIs, integrated use cases, and weekly optimization.
Operational baseline
The team defined a clear KPI, mapped priority call intents, and agreed on transfer rules before launch.
Use-case deployment
Voice AI use cases were connected to the existing process so conversations could trigger real next actions.
Continuous optimization
Performance was improved with iterative prompt updates and regular review of call outcomes.
Conclusion
Powerserv combines two scoped workflows with concrete outcomes: regulatory consent management plus a fast candidate touchpoint after application. The use cases transfer directly to other DACH staffing operators with retained applicant databases and ongoing application inflow.
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Questions
Case Study
FAQ.
What was the primary outcome?
78% goal-rate.
Which use cases were used?
This deployment used AI Secretary, Follow-up Calls, Lead Qualification.
Can similar teams replicate this approach?
Yes. The same rollout pattern can be adapted to your call flows, goals, and escalation model.
How quickly can this be implemented?
Most teams launch an initial version in days and then optimize with live call data.
What is the best first step to replicate this?
Start with one high-impact call flow, define transfer guardrails, and measure one clear KPI from day one.