AI roleplay for customer service teams
Verify AI roleplay for difficult customer-service calls.
Service and contact-centre practice scenarios with transcripts and scorecards; workflow maturity is validated per team.
The free practice call asks for your first name and email address; Business practice requires a work email. It then runs a security check and requires no account creation or credit card.
Pilot offer
Give us your top 5 difficult call types and your QA scorecard.
We'll turn them into AI practice calls and show where agents need coaching before they take real volume.
Lead magnet
Inbound Call Readiness Scorecard
What is AI roleplay for customer service?
Service and contact-centre practice scenarios with transcripts and scorecards; workflow maturity is validated per team.
Oliver is a practice layer, not a quality monitoring tool or helpdesk. Scenario, repeat, rubric, and coaching-workflow fit are assessed during verification.
Rehearse the calls that are hardest to handle.
Build practice around the moments that lead to escalations and QA failures — not generic contact-centre scripts.
Angry customer de-escalation
Open with empathy, take the heat out, and reach a resolution without losing ownership of the call.
Billing dispute and refund requests
Handle the numbers conversation calmly, hold policy where needed, and leave the customer feeling treated fairly.
Complaint and service failure recovery
Acknowledge the failure without excuses, own the next step, and restore the customer's confidence.
Policy-bound 'no'
Deliver a no that doesn't feel like a door slamming — hold the line while still making the customer feel helped.
Escalation with clear handoff
Transfer with complete context, no re-explaining, and a clear next-step commitment to the customer.
New hire first difficult call
Ramp new agents on the hardest call types before they take real volume, so first calls go well instead of becoming training incidents.
Review artifacts from an enabled practice call.
Teams assess the available transcript and scorecard before agreeing how they fit an operational coaching workflow.
Voice that talks back
Oliver is voice-first. Agents speak to a customer that responds in real time — frustrated, confused, or insistent — not a script they read.
Transcript for an enabled call
An enabled practice call returns a transcript for review during the verified workflow.
QA-style scorecards
An enabled run returns the available scorecard; rubric and QA fit are verified with each team.
Verification-scoped scenarios
Service and contact-centre practice scenarios with transcripts and scorecards; workflow maturity is validated per team.
Why AI roleplay beats the old way.
Compare enabled AI practice with your existing roleplay process during a verification or guided pilot.
Availability verified per team
Service and contact-centre practice scenarios with transcripts and scorecards; workflow maturity is validated per team.
Repeat scope is agreed
Selected scenarios and repeat access are confirmed as part of the verification or guided-pilot scope.
Artifacts to assess
Teams assess the available transcript and scorecard before agreeing how they fit the coaching workflow.
Custom scope is guided
Custom scenarios are designed within a guided pilot or enterprise rollout.
Evaluate fit with your support team.
- Contact centre and inbound call team leads
- CX and support training managers
- Quality assurance and enablement teams
- New support agents in ramp and onboarding
Frequently asked questions
What is AI roleplay for customer service?
AI customer service roleplay lets a support rep speak with an AI customer in an enabled scenario and review the available artifacts. Service and contact-centre practice scenarios with transcripts and scorecards; workflow maturity is validated per team.
How is AI roleplay different from traditional call centre roleplay?
AI roleplay replaces the human practice partner with a voice AI for enabled scenarios. Availability, repeat access, and scorecard fit are verified per team. Service and contact-centre practice scenarios with transcripts and scorecards; workflow maturity is validated per team.
What customer service scenarios can agents practise with Oliver?
Service and contact-centre practice scenarios with transcripts and scorecards; workflow maturity is validated per team. Custom scenarios are designed within a guided pilot or enterprise rollout.
Do agents need to request a demo to get started?
The free practice call asks for your first name and email address; Business practice requires a work email. It then runs a security check and requires no account creation or credit card.
AI customer service roleplay
Hear what an AI customer service roleplay call sounds like.
Take a live practice call now, or bring your team's real difficult call types and we'll build the first five with you.