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Indianapolis, IN · 9am-5pm

AI-assisted booking

Booking that understands how people ask.

People rarely ask for appointments in perfect form fields. Rerilo is being built to understand everyday requests, turn them into clear booking details, and pass them to scheduling rules that stay in control.

Development status
In active development
Commercial status
Not commercially launched

A product in development by Vumu Solutions LLC.

R

Rerilo

New booking request

Concept preview
Customer message

“Could I book a haircut after 3 on Thursday? Anyone is fine.”

AI-assisted interpretation

Find the service, time preference, and provider choice in the customer’s own words.

Structured appointment

A clear draft for the scheduling workflow

Draft
Service
Haircut
Preferred time
Thursday after 3 PM
Provider
No preference
Application-controlled check

Rerilo’s scheduling logic checks the real calendar and the business’s booking rules before anything can be confirmed.

Calendar availabilityBooking rules

Proposed next step

Offer matching times after 3 PM. If none fit, ask the customer what works next.

Concept preview. This is a design illustration, not a live booking.

One connected product

The rest of the day stays connected

A booking is only one part of the job. Rerilo’s broader direction connects the everyday work around each appointment.

Scheduling

Keep availability, appointments, and the day’s calendar in one working view.

Customer management

Carry the right customer details and booking history into every appointment.

Payments

Connect payment steps to the customers and appointments they belong to.

Communications

Keep practical customer updates close to the work instead of across separate tools.

AI approach

AI handles the request. The application handles the rules.

AI helps with the messy first step: understanding what a customer means. Rerilo’s application logic is responsible for checking actual availability, applying business rules, and controlling appointment confirmation.

Implementation status

An Anthropic API adapter and evaluation framework are implemented. Claude is the intended model for natural-language interpretation, and live-model/provider verification is still pending. No production-provider capability is claimed.

Planned for a future phase

An AI phone receptionist

A later phase is planned to help service businesses handle routine calls and conversational booking requests. The phone receptionist is part of the product direction and has not launched.

Built around real booking conversations

Have a service business in mind?

Tell us how your customers ask for appointments and where the current process slows down. Rerilo is in active development and is not commercially launched.