Case study & business use cases
Explore our dental deployment and possible workflows for other small businesses. The right starting point depends on your systems, staff, and customer needs.
Live deployment · Our own dental practice
After encountering choppy conversations, accent-recognition problems, and scheduling delays with earlier solutions, we built a Retell AI receptionist around our practice's workflow.
Illustrative use cases
These examples describe potential projects. We would confirm the workflow and integration feasibility with each business during scoping.
Illustrative workflow
A plumbing, HVAC, or electrical business receives calls while its technicians are out on jobs.
An assistant could collect the service address, problem description, and callback details, then create a request in the existing job system. Approved routing rules could direct urgent requests to the on-call person.
A staff member would confirm availability, pricing, and any work commitment. The pilot would define escalation for safety-related calls.
Start with after-hours callback intake. Check that details reach the right queue and that staff can return the call.
Illustrative workflow
A salon owner needs to answer routine questions and handle appointment requests while serving clients.
An assistant could answer from the approved service menu and collect booking or rescheduling requests. Live booking would depend on the booking system and its support for availability checks and updates.
Staff would handle exceptions, services that need a consultation, and requests outside the approved rules.
Start with routine questions and callback requests, then test scheduling feasibility with the existing system.
Illustrative workflow
A small firm receives new-client inquiries that need to reach the right person with enough context to respond.
An assistant could collect basic contact details and the service requested, summarize the inquiry, and create a follow-up task. A draft reply could wait for staff approval.
The firm would review suitability and provide professional advice. The initial workflow would collect only the details needed to arrange a conversation.
Start with inquiry routing and a clear owner for each follow-up. Check completeness and delivery before expanding.
We can discuss an AI receptionist, a custom agent, or an automation that connects the tools you already use.
