Customer messages arrive through WhatsApp, Instagram, and Messenger. We connect replies, booking, payment, and the handoff to your team.
24/7
the concierge answers when your staff can't
1 view
bookings, payments, and field work in one operator dashboard
Week 2-4
first production win ships, then the platform scales in phases
What we build
We start with patterns we know, then adapt them to your data, access rules, and current process.
Answers service questions from your menu and policies, guides selection, collects booking details, and takes payment in the channels your customers use.
An operator dashboard shows bookings, payments, exceptions, and the conversations behind them, so your team sees what happened and what needs a hand.
Field staff see their jobs; dispatch gets recommendations and humans approve. The agent suggests, your team decides, and status flows back into one place.
How it works
The concierge answers, books, and collects payment. Complex cases go to staff, and field work is assigned with human approval.
STEP 01
The concierge answers from your service menu and policies in the channel the customer chose.
STEP 02
Details collected, a slot booked, payment completed. Edge cases the agent isn't sure about are routed to your staff.
STEP 03
Bookings, payments, and conversations land on one operator dashboard, with exceptions queued for humans to resolve.
STEP 04
Jobs are assigned with human approval. Dispatch intelligence recommends the next move; your team makes the call.
Safeguards
This system is now in rollout with a multi-vertical home-services business. We are measuring response time, booking conversion, admin time saved, and handoff quality.
Staff approve refunds, edge cases, and dispatch sign-off while the agent handles the rest.
The concierge can only do what you've allowed. Permissions are explicit, and anything outside them goes to a person.
Every conversation, booking, and handoff is logged so you can see what the system did and why.
Service menu, pricing, and policies stay yours and stay current. The agent answers from what you've set, not what it guesses.
Next step
Bring us a process you want to improve. We'll talk through what is practical and what to build first.
