A single platform to modernize reservations, automate the Port Washington commuter shuttle, answer every call 24/7 with a voice AI agent, and run day-to-day operations end to end.
RMA runs a high-volume, relationship-driven service — corporate accounts, airports, and a heavy commuter flow to Port Washington Station. Today much of it is coordinated by hand: a dispatcher pointing riders to vans on the platform, CSRs quoting pickup times by phone, bookings taken call by call. OpenLimo automates the repetitive work and frees the team to handle the exceptions.
Morning and evening peaks to and from the LIRR, with riders already used to sharing a van by direction. Perfect for automation.
Calls to quote a pickup window, take a reservation, or check on a driver all compete for the same staff during the busiest hours.
On-site dispatch manually matches riders to vans by direction — repeatable logic a system can do instantly and consistently.
"The work is predictable enough to automate, and high-volume enough that automating it pays for itself."
OpenLimo handles the booking, grouping, and calls — your team manages service, not data entry.
Each piece works on its own and connects to the rest — the booker, the grouping engine, and the voice AI all read and write the same reservations and dispatch data.
A modern, mobile-first booking experience embedded in the RMA website. Registered riders book a private ride or a shared commuter seat in under a minute, see live driver and van status, and manage everything self-service — no phone call required.
The automation that replaces the dispatcher pointing riders to vans. As bookings arrive, the engine analyzes direction, timing, and capacity, then assigns each rider to the right shared vehicle — automatically, and consistently, at peak volume.
Surfaces directly in the booker (the rider sees their assigned van) and in dispatch (the manifest builds itself). Tunable rules for capacity, direction zones, and timing windows.
A 24/7 AI phone agent that answers every call, books and manages rides in real time, and only escalates when it should. Callers talk naturally; the agent transcribes, understands, and acts on live reservation and dispatch data.
A Twilio number forwards calls to the OpenLimo Python backend running a realtime speech model (GPT Realtime-class) for live transcription and understanding, with machine-to-machine integration into the platform to read and write bookings directly.
The everyday back office to run the whole business on one system — the foundation the booker, grouping engine, and voice AI all plug into.
A phased rollout so value lands early — the platform and booker go live first, automation and the voice agent follow, with the whole system integrated and trained by month three.
One setup fee to build and launch everything above, then a flat monthly platform fee. No per-booking surcharges from OpenLimo.
Covers build and launch of all four deliverables — web booker, auto-grouping engine, voice AI agent, and core platform configuration — plus data migration and staff training over the 3-month rollout.
Hosting, infrastructure, ongoing support, and continuous software updates & new features across the entire platform. Begins at production go-live.
Third-party usage (e.g. Twilio telephony & AI model usage) is billed at cost and passed through transparently.
12-month initial term beginning at go-live, renewing month-to-month thereafter. 60-day notice to cancel after the initial term.
Cloud hosting & infrastructure, ongoing technical support, and all software updates & new platform features — at no additional cost.
We'd love to walk the team through the live booker and map the rollout to RMA's calendar. The fastest next step is a 30-minute working session.