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Custom AI implementation for businesses, including WhatsApp lead qualification for car dealerships.
Tilli's pitch is the order of operations: sell a R$5,000 implementation with a R$1,000/month maintenance fee to one restaurant first; the R$50,000 dealership WhatsApp agent is where that path can lead, not where it starts.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
Vortex State is the Grupo Vortex company that implements AI inside other businesses. Matheus Tilli gives one concrete example: the company charged R$50,000 to implement an agent that answers and qualifies customers on a car dealership's WhatsApp.
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Data credibility: Matheus Tilli reports that Grupo Vortex charged R$50,000 for a dealership WhatsApp-agent implementation. This is founder-reported; no contract, payment record, margin, or independent verification is cited.
For a Vortex State-style dealership service, begin with one measurable point in the sales process: responding to incoming WhatsApp inquiries and collecting enough information for a salesperson to continue.
For Vortex State, structure the first paid engagement around a bounded dealership workflow. Define the WhatsApp agent’s job, the information it may collect, how qualified inquiries reach staff, and which questions require a human.
A dealership implementation can create a repeatable growth loop when the delivery produces a useful reference and a reusable operating pattern. Start by recording which questions the agent can answer safely, what information a salesperson needs, and where human handoff is essential.
A high-value AI service can spend a long time in discovery and proposal work before a buyer commits. For a dealership lead agent, use that stretch to learn the existing WhatsApp process instead of polishing a generic chatbot.
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