BOOTINGJRV//SYSTEMS/
Message ops that scale themselves.
WhatsApp automation is a service that connects your business WhatsApp number to your own systems, so enquiries, bookings and internal commands are handled by software instead of a person retyping them.
Native WhatsApp bridges — sales enquiries, booking flows, customer support, internal team commands, scheduled broadcasts. We've shipped Jarvis, Friday, and a fleet of bridges running 24/7 across JRV brands.
Your customers do not want a portal. They want to message the number on the van. That is fine until the number is a phone in one person's pocket, and the business now has a single point of failure that goes on leave, sleeps, and holds the entire enquiry history in an app nobody else can search.
The symptoms are consistent. Enquiries answered at ten the next morning because they arrived at seven the previous evening. Bookings agreed in a thread and never entered into the system. Two staff replying to the same customer with different prices. Nobody able to say how many enquiries came in last month, because the record is a chat log.
The fix is not a different channel. It is putting a system behind the same number — one that answers instantly at three in the morning, writes what it agreed into the database, and escalates to a human when it should.
We go through a few months of actual conversations. What people ask, in what mixture of Malay and English, and where the thread stalls. Automating an imagined customer is how bots end up sounding wrong.
Explicitly: what the bot answers, what it collects and passes on, and what it must never attempt. Pricing edge cases and complaints usually go straight to a person. Getting this line right matters more than the model.
The number is connected to your systems — calendar, database, ERP, accounting — so a booking made in a chat exists in the system a second later rather than in someone's notes.
The half people forget. Your team gets commands on the same channel: today's jobs, this vehicle's status, send the invoice. No app to install, no training beyond a list of commands.
Access is controlled by number, every action is audit-logged, and we watch it in production for the first weeks. Bridges do go down — the recoverable ones are the ones that alert.
Priced from the published add-on rate. Running costs are the model usage and, on the official Business API, Meta's own per-conversation charge.
The published rate: enquiry handling, a booking or quote flow, escalation to a human, admin commands, whitelisting and logging.
The above wired into an existing CRM, ERP or accounting package, so what is agreed in a chat lands in the ledger.
Several numbers, several brands, shared infrastructure, per-tenant whitelisting and a dashboard over all of it.
The assistant that runs this studio: deployments, database checks, reports and reminders, all from a chat thread. We ship what we already depend on.
Two longer answers sit outside the service pages: the reference guides on the LHDN e-Invoice phases and what each route into MyInvois costs, and the sector notes on what each sector's day-to-day record has to hold before software touches it.
