Hr onboarding · Production

Deliveroo partners with ElevenLabs to automate rider onboarding and restaurant verification via voice AI agents

The problem

Deliveroo's outreach to re-engage inactive rider applicants was time-intensive and inconsistent across regions; verifying restaurant live status required thousands of manual calls each week; and restaurants were slow to activate Rider Check-In tags after going live with delivery.

Workflow diagram · grounded in source
1
Inactive rider applicant trigger
trigger
“deployed an ElevenLabs Agent to automatically contact rider applicants who had been inactive for more than two weeks”
2
Rider voice agent outreach
ai_action
“The voice agent confirmed the applicant's continued interest and guided them through the next steps to help them complete onboarding in their preferred language”
3
Restaurant status verification calls
ai_action
“deployed an ElevenLabs Agent to automatically confirm the live status of restaurants flagged as potentially closed”
4
Opening hours validation and system update
integration
“The agent placed outbound calls, validated opening hours, and updated Deliveroo's systems in real time”
5
RCI tag activation outreach
ai_action
“developed an ElevenLabs Agent that would proactively contact sites that had not activated tags after five business days of delivery, with the goal of guiding managers through installation and activation steps”
Reported outcome

ElevenLabs Agents achieved 30% rider re-engagement within seven days, a 75% restaurant-contact success rate that eliminated thousands of manual check-ins, and successfully contacted 86% of partner sites for RCI tag activation, while reducing manual workload for local operations teams.

Reported metrics
Riders confirming intent within 7 days30%
Restaurant contact success rate75%
partner sites successfully contacted for RCI activation86%
Time to reach thousands of ridershours instead of days or weeks
Show all 10 reported metrics
riders confirming intent within 7 days30%
restaurant contact success rate75%
partner sites successfully contacted for RCI activation86%
time to reach thousands of ridershours instead of days or weeks
manual restaurant verification check-ins eliminatedthousands of manual check-ins
rider applicants reached via call or voicemailmajority of the target cohort
rider engagement increasesubstantial increase in engagement
rider activation ratesimproved overall rider activation rates
RCI tag activation ratemeaningful increases in activation
manual restaurant status calls per week (baseline)thousands of calls each week
Reported stack
ElevenLabs Agent
Source
https://elevenlabs.io/blog/deliveroo
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

ElevenLabs Agents achieved 30% rider re-engagement within seven days, a 75% restaurant-contact success rate that eliminated thousands of manual check-ins, and successfully contacted 86% of partner sites for RCI tag ac…

What tools did this team use?

ElevenLabs Agent.

What results were reported?

Riders confirming intent within 7 days: 30%; Restaurant contact success rate: 75%; partner sites successfully contacted for RCI activation: 86%; Time to reach thousands of riders: hours instead of days or weeks (source-reported, not independently verified).

How is this hr onboarding AI workflow structured?

Inactive rider applicant trigger → Rider voice agent outreach → Restaurant status verification calls → Opening hours validation and system update → RCI tag activation outreach.

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