Otto is an agentic AI that answers every call, message and web chat — then chases the customers who haven't booked yet. Inbound voice, WhatsApp, the chat widget on your website, and outbound MOT, service-due and lapsed-customer campaigns, all running autonomously. Bays full. No leads dropped.
A real Otto call, sped up.
An agentic loop running 24/7 across voice, WhatsApp, web chat and SMS. Otto listens to what the customer wants, looks up the vehicle and history, decides the right next step, takes the action, and learns from how the conversation went.
Powered by GPT-class voice and language models. Trained on your service drive, not the open web.
Your service team sees every call, message and web chat Otto handled. Click any conversation to read the transcript, hear the recording and see what booking landed in your diary.
Service Managers we talk to all describe the same three problems. Otto was built to fix exactly these.
Drop-offs queueing at the desk. Phones ringing out. Half your bookings end up in voicemail. By 9:30 your advisors are already behind, and the techs in the bays are waiting for jobs.
You either staff up at weekend rates or send the calls to voicemail. Either way, the customer who needed an MOT booked tomorrow rings the dealer down the road instead.
The list of customers due for MOT, service or recall is sitting in the DMS. Reception means to call them. Reception is on the phones all day. So the chase doesn't happen — and lapsed customers walk.
Otto is two things at once. A lead handler — every inbound call, message and web visit answered, qualified, booked. And a lead generator — outbound chase campaigns that bring lapsed customers back into the bays. Same Otto. Same diary. Same customer record.
Forward your busy lines, your overflow, or your out-of-hours to Otto. It picks up on the first ring, books straight into your diary mid-call, and warm-transfers to the right advisor when a human is needed — context already collected ("This is Sarah, courtesy car required, MOT due Friday").
Visitors on your website get answered instantly, day or night — the live chat bubble books service, captures leads from anonymous visitors, hands off to a human in one click. Same on WhatsApp: Otto holds the thread across days and finishes the booking.
Otto calls and messages customers — service-due reminders, MOT chase, lapsed-customer winback, recall outreach. WhatsApp first, AI voice on no-reply. The chase that always got skipped, finally worked. Every week. Without a person doing it.
When a customer doesn't turn up, Otto rings the same morning, finds out why, and rebooks. When a tech finishes early and you've got a free hour, Otto offers it to the right customer in seconds.
Service-due chase, MOT reminders, no-show recovery, lapsed-customer winback — Otto runs them autonomously. Drag-and-drop trigger, channel and wait steps. Branch on reply or no-reply. Fall back to voice when WhatsApp goes quiet.
Use a template, edit it, or build your own from scratch. Approve the message style once — Otto runs the rest.
Early pilot data from a UK franchised group. Verified weekly during the pilot.
We went from missing one in five calls to missing none. The Saturday cover bill is gone. And the MOT list — for the first time in years — is actually getting worked.
Otto reads your existing diary, your service types, your courtesy-car availability and your customer history. When it books, the slot lands in your DMS the way your advisors expect — same advisor codes, same job types, same notes.
Your team doesn't learn a new system. They just stop typing reminders into a campaign tool at 5:45pm.
See all integrations →Twenty minutes. Otto handling a real-feel service call, a WhatsApp MOT chase and a no-show recovery — using your DMS, your service types, your tone.