Convoy AI
Public demos

Agents are already asking. Set the rules first.

ChatGPT, Claude, Gemini and other assistants now find, ask and act for your customers. A Convoy Station lets them in on your terms: the right data, the right steps, and a person or the customer where it counts.

Retail and commerce
Discovery, search, orders

Shoppers send their agent. You decide how it orders.

Agents ask for a product, a price and a delivery date, then try to order. Without governance, an agent orders twenty of a limited item, promises a delivery you cannot make, or places an order the customer never saw.

Your Convoy Station puts your catalogue, stock and delivery rules behind one question. It applies your limits per order, checks delivery before ordering, and lets the customer confirm before anything is placed.

“Order me an organic olive oil under 10 euros, delivered tomorrow in Lyon.”Live stock, delivery checked for Lyon, then the customer confirms the order.
01DiscoveryFound on every assistant your customers already use, described in your words.
02SearchAnswers from your real range and live stock, not a generic answer about the category.
03OrdersLimits per order, delivery checked first, and the customer confirms before it is placed.
By handToday
terretable.fr/huiles
HuilesÉpicerieConservesCoffrets
BioMoins de 10 €500 mlLivraison LyonTrier : prix
Huile d'olive vierge extra8,90 €
Huile de noix12,40 €
Huile de colza7,20 €
Olive & citron9,60 €
Huile de sésame11,00 €
Olive AOP Nyons14,50 €

Land on the shop, pick a category, stack four filters, open three products, check delivery, then start again. The catalogue is there. The answer is not.

Customer's agentConvoy Station
Order me an organic olive oil from Terre & Table, under 10 euros, delivered tomorrow in Lyon.
Working
  • Reached the Terre & Table Convoy Station
  • Called search_products — olive oil, organic, ≤ 10 €
  • Checked live stock and delivery windows for Lyon 7 before ordering
  • Added it to the selection for the customer to confirm
Terre & Table
500 ml
Extra virgin, organic 500ml8,90 €
StockIn stock, Lyon 7
DeliveryTomorrow before 14:00
Applied rulesLimit per order, customer confirms

One request. Real inventory, your rules, and the customer confirms before the order is placed.

Services and booking
Qualification, booking, follow-up

An agent can book in seconds. Your intake rules still apply.

Agents ask to book, move and cancel appointments. Without governance, an agent takes the first free slot with the wrong practitioner, skips the questions you ask on the phone, or holds a large group booking with no deposit.

Your Convoy Station runs the booking as a playbook: qualify first, match against real availability, attach your cancellation policy, and ask for a deposit where your rules say so. Reminders and rescheduling stay in the same thread.

“Book me a physio near King's Cross this week, an evening slot, with someone who treats runners' knees.”Qualified, matched by speciality, checked against cover, then held for the customer to confirm.
01QualificationThe agent answers your intake questions before any slot is taken.
02BookingReal availability, your policies attached, a deposit for large group bookings.
03Follow-upReminders, rescheduling and repeat visits, each one traced.
By handToday
lumen-physio.co.uk/book
PhysioSports massageRehabPilates
This weekEveningsKing's CrossInsurance
Mon18:00
Tue19:30
Wed18:30
Thu19:00
Thu20:00
Fri18:00
Fri19:30
Sat09:30

Pick a service, scan a grid of slots, open each practitioner to check the speciality, then start again when the slot is gone.

Customer's agentConvoy Station
Book me a physio near King's Cross this week, an evening slot, with someone who treats runners' knees.
Working
  • Reached the Lumen Physio Convoy Station
  • Asked the intake questions before searching
  • Called search_availability — evenings, this week, N1
  • Matched practitioners by speciality, not by first free slot
  • Checked insurance cover, then held the slot for the customer to confirm
AO
Amara O.
Sports physio
Thursday 19:0050 min
SpecialityRunning injuries
CoverInsurer accepted, £12 excess
Applied rulesIntake first, cancellation policy, customer confirms

One request. Real availability, the right practitioner, your policies applied before anything is booked.

SaaS and developer tools
Onboarding, support, in-product actions

Users send their agent into your app. It should see only what they may see.

Agents ask for reports, settings changes and refunds. Without governance, an agent reads data from teams its user does not manage, changes a plan without anyone noticing, or refunds whatever it is asked to.

Your Convoy Station exposes the queries and actions your product already supports, scoped to each person's role. Sign-in comes before private data, refunds above a threshold are approved first, and every call leaves a trace.

“How much overtime did the evening team run last month, and which week was worst?”Answered from live timesheets, after sign-in, scoped to the teams that manager may see.
01OnboardingThe agent walks a new user through setup in your order of steps, not its own.
02SupportAnswers come from the user's own account, and only once they have signed in.
03In-product actionsChanges run through your policies. A refund above your threshold waits for a person.
By handToday
app.shiftly.io/schedule
ScheduleTimesheetsReportsRequests
Evening teamWeek 14All sitesExport
MonTueWedThuFriA. DialloM. CostaR. HaddadL. Meyer
ShiftOvertimeOff

Read the grid week by week, switch to Timesheets, export four CSVs, pivot them in a spreadsheet, and hope you added it up right.

Customer's agentConvoy Station
In Shiftly, how much overtime did the evening team run last month, and which week was worst?
Working
  • Reached the Shiftly Convoy Station
  • Checked the manager is signed in before reading timesheets
  • Called get_timesheets — team: Evening, 1–30 April
  • Compared scheduled against actual hours, week by week
  • Scoped to the teams this manager is allowed to see, and traced
Overtime by weekApril
020h41hW1W2W3W4
Total overtime107 h across 4 weeks
Worst weekW3, 41 h
Main driver3 uncovered late shifts
Applied rulesSign-in, team scope, no personal data

One question. Real timesheets, after sign-in, and only the teams this manager may see.