Hr onboarding · Production

Tutore deploys conversational AI agents for corporate language placement using ElevenLabs

The problem

Tutore's spoken language assessments depended on human auditors, creating limited availability across five languages, high coordination and labor costs, scheduling friction with learners, inconsistent evaluations, and delays that slowed course initiation and revenue recognition.

Workflow diagram · grounded in source

Learner selects assessment mode

trigger

“students can now choose between a traditional human-led interview or an AI-driven diagnostic call. The majority choose the AI agent, citing convenience, availability, and lower stress.”

Phase 1: Polish-language intake

ai_action

“The first phase, conducted in Polish, collects information about the learner's previous experience, motivation, preferences, and objectives. This data forms the foundation for course personalization.”

Phase 2: CEFR proficiency assessment

ai_action

“The second phase, conducted in the target foreign language, assesses active proficiency against CEFR criteria. The agent evaluates fluency, accuracy, range, coherence, pronunciation, and communicative strategies using consistent scoring …”

Placement recommendation output

output

“The output is not a formal exam score but a placement recommendation, mapping current ability, learning potential, and declared goals to the optimal course entry level.”

Diagnostic report generated

output

“each call generates a detailed diagnostic report with strengths, areas for improvement, and learning recommendations”

Reported outcome

90% of all placement interviews are now conducted using ElevenAgents, with significantly shorter onboarding times, elimination of manual coordination and scheduling, reduction in auditor workload and operational costs, and higher consistency in CEFR evaluations.

Reported metrics

placement interviews conducted by AI90%

Onboarding timesignificantly shorter onboarding times

Manual coordination and schedulingelimination of manual coordination and scheduling

Auditor workload and operational costsreduction in auditor workload and operational costs

Show all 7 reported metrics

placement interviews conducted by AI90%

onboarding timesignificantly shorter onboarding times

manual coordination and schedulingelimination of manual coordination and scheduling

auditor workload and operational costsreduction in auditor workload and operational costs

CEFR evaluation consistencyhigher consistency in CEFR evaluations

auditor labor costslower auditor labor costs

course start timeaccelerate course start, which directly translates into company revenue

Reported stack

ElevenAgentsElevenLabs

Source

https://elevenlabs.io/blog/tutore

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

90% of all placement interviews are now conducted using ElevenAgents, with significantly shorter onboarding times, elimination of manual coordination and scheduling, reduction in auditor workload and operational costs…

What tools did this team use?

ElevenAgents, ElevenLabs.

What results were reported?

placement interviews conducted by AI: 90%; Onboarding time: significantly shorter onboarding times; Manual coordination and scheduling: elimination of manual coordination and scheduling; Auditor workload and operational costs: reduction in auditor workload and operational costs (source-reported, not independently verified).

How is this hr onboarding AI workflow structured?

Learner selects assessment mode → Phase 1: Polish-language intake → Phase 2: CEFR proficiency assessment → Placement recommendation output → Diagnostic report generated.