Client case study · WhatsApp AI Agent
How Provecta put an AI agent on a property developer's own WhatsApp number to catch every ad-driven buyer, qualify them instantly, and log them straight into the CRM — so no enquiry goes cold.
The challenge
Sierra markets The Grand Malibu with paid social campaigns that push buyers to WhatsApp. The problem wasn't demand — it was response.
Enquiries arrived faster than the sales team could answer, and every evening, weekend and campaign spike became a dead zone where buyers waited hours for a reply or moved on to the next advertiser. There was no consistent record of who had asked what. For a developer selling its own units, each ad-paid enquiry left waiting was a potential sale walking away.
What Provecta built
An AI agent — powered by Claude on bRRAIn — that operates directly on Sierra's own WhatsApp Business line. Sierra keeps its number and its data; Provecta builds and runs the agent as its service provider, with a human always one message away.
In the buyer's language — no more overnight or weekend gaps.
Location, unit types, payment plans, availability, next steps (pricing shared on request).
Budget, timeline and which unit they're after — through natural conversation.
With a full touchpoint log, so nothing lives lost in someone's chat history.
The agent handles the repetitive work; people close the deal.
How it works
Messages the WhatsApp line from an ad
Answers & qualifies in seconds
Lead written to Zoho with full history
Ready buyers handed to a human rep
The results
The agent runs at a fraction of the cost of an after-hours customer-service hire — and unlike a new hire, it answers every buyer at once, never takes a night off, and keeps a clean record of every conversation.
Your WhatsApp line should answer every buyer like your best salesperson — instantly, day or night. See it work on your business.
Put it on your line →Case study prepared by Provecta. “The Grand Malibu” is a residential development by Sierra Homes in Mombasa; pricing is shared on request and any returns referenced in Sierra's own materials are projected, not guaranteed. Reply-rate figure reflects Sierra's observed inbound performance after deployment versus human-only handling.