A fleet analyst on duty around the clock, inside WhatsApp.
Not one more dashboard for your manager to open. An autonomous agent that reads your operation from the platform you already run and answers in seconds, in the app already in their pocket — at 3am, on a Sunday, at the pump, on the road.
Messages are end-to-end encrypted and stay between you and this chat.
Good evening, how is the fleet doing today?
Good evening. The fleet has 188 vehicles in service in total, and 17 are moving right now. Of our 134 registered drivers, 117 are active. Today the operation completed 526 trips, covering 4,788 kilometres in total. Fuel spend came to 8,586 reais.
01 · Fleet overview
One vague sentence, and the agent knows which numbers matter: vehicles in service, how many are moving right now, active drivers, trips, distance and the day’s fuel spend.
The manager asks. The agent answers with live operational data.
None of the screens below is a concept mockup: this is the conversation as it happens today, on a 188-vehicle fleet. The manager writes the way they would to a human analyst — no commands, no menus, no numbers to press.
Messages are end-to-end encrypted and stay between you and this chat.
Which vehicle covered the most ground?
Looking at today’s trips, vehicle RJT8C46 covered the most ground, over 85 kilometres. QMP5D02 also stood out, with a single 60-kilometre trip. Would you like me to pull the full utilisation report?
It drills down to the vehicle, and offers the next step
The answer comes with the plate, the number and the runner-up. Note the ending: the agent anticipates what the manager would ask next instead of waiting for it.
Messages are end-to-end encrypted and stay between you and this chat.
Where is RJT8C46 right now?
RJT8C46 — ignition off (updated 16 min ago)
Vehicle RJT8C46 is stopped right now, with the ignition off. I have just sent you the map with its exact location here in the chat.
Telematics becomes an answer, not a coordinate
The agent sends the map into the chat itself and translates the tracker state into operational language: stopped, ignition off, how old the reading is.
Messages are end-to-end encrypted and stay between you and this chat.
I need a PDF report of the vehicles that ran today
I generated today’s vehicle utilisation report and the PDF is already attached here in our conversation. Today we had 76 active vehicles, which completed 540 trips and covered 5,173 kilometres in total.
The report lands in the conversation, as PDF and spreadsheet
No exporting, no opening a system, no asking the team to put it together. The agent generates it, attaches both formats to the chat and summarises what is inside.
The agent adapts to your platform. You change nothing.
This is usually the point that settles the conversation: we do not ask you to migrate your management system, and we do not ask you to swap trackers. The agent was built to be vendor-agnostic — it integrates with the platform already running your operation and reads the data from there.
In practice, the agent is the conversation layer missing on top of what you already pay for.
The management platform you already use
Vehicles and drivers, trips, maintenance, refuelling, costs. The agent reads from the system that is already your company’s source of truth.
The tracker already installed
Position, ignition, odometer, driving events. No hardware swap and no new telematics contract for the agent to work.
More than one source at once
Large fleets almost never keep everything in one place. The agent cross-references management, telematics and fuel to answer a question neither system could answer alone.
No exclusivity, no lock-in
Changed platform later? The agent points at the new one. What it learned about your operation stays yours.
One agent per specialty, not a generalist that knows a little of everything.
The demo above is the front door. The same architecture supports agents specialised by domain, each with the vocabulary, rules and alerts of its area. You switch on what makes sense for your operation.
Maintenance
Overdue or upcoming service, work orders open for too long, a vehicle back in the shop for the same fault, maintenance cost per vehicle and per kilometre.
Which vehicles are overdue for service?
Fuel
Average consumption per vehicle and per driver, deviation from the historical average, refuelling off-route or out of hours, price per litre above the reference.
Any odd refuelling this week?
Telematics and driving
Speeding, harsh braking, aggressive acceleration, idling time, driving score per driver and month-on-month progress.
Who were the 5 worst drivers this month?
Documents and fines
Licences about to expire, registration and insurance to renew, a new fine arriving, a driver-nomination deadline running. The agent warns before it becomes a loss.
Any licences expiring in the next 30 days?
Cost and productivity
Cost per kilometre, total cost per vehicle, idle capacity, branch-by-branch comparison and the vehicle that costs too much for what it delivers.
What is the cost per km at the Belo Horizonte branch?
On its own initiative
The agent does not only answer: it looks. It sends the operational summary at the time you set and flags anything out of pattern on its own, with nobody asking.
Every day at 7am, unprompted
Fleet data is sensitive data. Isolation here is design, not a setting.
Where your whole operation shows up — plate, route, driver, cost — the right question is not whether the AI answers well, but where that data lives.
A dedicated database per customer
Each customer gets their own separate database. Not an identifier column inside a base shared with other fleets: dedicated data infrastructure, no neighbours.
Hosted on Google Cloud
The whole platform runs on Google Cloud infrastructure, with encryption in transit and at rest, backups and role-based access control.
Your data does not train models
Your conversations and fleet data serve you and nothing else. They do not feed model training, ours or anyone else’s.
You decide who can do what
The manager sees the whole fleet. The supervisor sees their branch. The driver sees their own. Sensitive actions go through whoever you nominate for approval.
Three steps, not a six-month project.
Connect
We wire the agent into your management platform and your tracker through integration. Nothing changes for the people already running those systems.
Learn your fleet
The agent absorbs the house rules: what you call things, which branches exist, what counts as urgent, who answers for what.
Join the team’s WhatsApp
The manager starts asking. No training, no manual, no new app to install — it is a conversation.
Want to see this running on your own fleet data?
The first conversation is straightforward: we understand your operation, which systems you run today, and show the agent answering about a fleet like yours.