Guide | AI Sales
AI SDR: What It Is and How an AI Sales Agent Works on WhatsApp
An AI SDR is an artificial intelligence agent that does the work of a sales development rep: it answers prospects in seconds, qualifies them, quotes, books meetings, and follows up without human intervention. In Latin America it usually runs on WhatsApp, where the buying conversation actually happens.
How does an AI sales agent work on WhatsApp?
An AI sales agent connects to the company's WhatsApp number through Meta's official API. When a prospect writes, the agent reads the message, checks the systems it is connected to (inventory, prices, CRM) and answers in seconds: it quotes, books, charges, or hands off to a human under defined rules.
The loop is simple to describe and hard to build well. The agent holds the conversation in natural language, but every consequential step runs through the company's own systems: it pulls prices from the catalog, assembles the quote, sends the payment link, and records the outcome in the CRM. A production agent also remembers each customer and follows up days later without being told to, which is where much of the revenue that goes cold today gets recovered.
You can watch this pattern live. Aurora, the agent that sells for Kemeny Studio, answers our web chat and our WhatsApp, reads the team's real calendar, and books meetings on it. That same pattern, packaged for a business's own number, is Comercial AI.
What is the difference between an AI SDR and a chatbot?
A chatbot answers questions from a script or a knowledge base. An AI SDR takes actions with consequences: it quotes from a photo of a list, sends the payment link, confirms delivery, and follows up for the reorder. The dividing line is not the underlying model but whether the system executes the full commercial cycle.
The distinction matters because the two are built, priced, and measured differently. A FAQ bot is measured by how many questions it deflects; a sales agent is measured by what it resolves and closes. An unresolved conversation still costs you: a human picks it up or the customer leaves. That is why the useful metric is total cost per resolved conversation, not the monthly subscription. You can run that math with editable market figures in the chatbot cost calculator, no email required.
What does an AI agent need to actually sell?
Access to the systems where the sale lives: catalog, prices, inventory, CRM, and payments. Without integrations, an agent can only talk. With them, it can quote, charge, and update your records. The open MCP standard exists precisely to connect AI models to those tools through one common protocol.
Integration depth is usually the largest cost driver in an agent build, and it is what separates a demo from a system your operation can trust. The Model Context Protocol (MCP), an open standard introduced by Anthropic in late 2024, gives the agent a toolbox it reasons over instead of a fixed automation path per system; MCP servers often call your existing APIs underneath. The business-level explanation is in our MCP guide for business.
The second requirement is operation. An agent nobody monitors degrades in months: catalogs change, edge cases pile up. Budget for who watches it, evaluates it, and improves it after launch, not just for who builds it.
The shortest way to understand an AI SDR is to talk to one. The Comercial AI demo is not a video or a mockup: it is the product in production. It quotes from a photo, sends the payment link inside the chat, and follows up on its own.
See the agent workingShould you buy a SaaS chatbot or build a custom AI SDR?
It depends on how much of the sale the agent must execute. If a subscription platform resolves your use case, use one: it is faster and cheaper to start. A custom AI SDR wins when the agent runs the full cycle, integrates deeply with your CRM, ERP, or payments, and when volume makes per-conversation fees pile up.
The threshold is a math question, not an opinion: it depends on your conversation volume, your close rate, and how much of the sale the bot executes. On the SaaS side, plans in the market run from tens to a few hundred dollars per month, and Meta charges a separate per-conversation fee on top; your data lives inside the vendor platform and cost grows with conversations and seats. On the custom side, the data stays in systems you control and operation is a flat fee regardless of volume.
We keep an honest side-by-side, including the platforms worth evaluating, in the WhatsApp AI comparison. And sometimes the honest answer is the cheap SaaS chatbot: if your FAQ bot already resolves more than 60 percent of what comes in, keep it.
| SaaS chatbot | Custom AI SDR | |
|---|---|---|
| What it resolves | Answers frequent questions on predefined flows | Runs the commercial cycle: quotes, charges, books, follows up |
| Time to start | Faster and cheaper to start | Scoping plus build: weeks, not days |
| Your data | Lives inside the vendor platform | Yours, in systems you control |
| Cost as you grow | Grows with conversations and seats, plus Meta's per-conversation fee | Flat operation fee regardless of volume |
| Integrations | The vendor's catalog of connectors | Deep CRM, ERP, payments, and inventory integration |
| Ownership | A subscription: stop paying and it turns off | Your own single-tenant instance, operated as a managed service |
How much does an AI sales agent cost?
The market moves in two bands. A SaaS FAQ chatbot costs $50 to $500 USD per month, plus the per-conversation fee Meta bills separately. A custom AI agent on one workflow typically runs $20,000 to $80,000 USD to build in the LatAm market, over 4 to 6 weeks, plus monthly managed operation.
Budget the operation line before you sign anything: the market plans for $2,000 to $8,000 USD per month per agent, covering model API usage, infrastructure, monitoring, evaluation, and engineering time. An unbudgeted operation line is the most common reason AI projects die after launch.
Figures are market ranges, not our prices: our audit is a fixed fee, the build is a fixed-scope quote, and the managed service is a flat monthly fee. The full breakdown, including what drives cost up and the LatAm-versus-US pricing gap, is in the AI implementation cost guide.
How do you start without burning budget?
With a diagnosis before a build. Most budget overruns come from automating the wrong workflow: no baseline, integrations discovered mid-project, evaluation skipped until users find the errors. A structured, fixed-fee audit defines the workflow, the integrations, and the business case before anyone writes code.
Our sequence is deliberately boring: a fixed-fee AI audit delivered in 10 business days that tells you whether an agent is worth building and what it must connect to, then a 4-week Sprint that builds it on your own WhatsApp number, then managed operation. Think of the audit as insurance: a fixed fee spent to avoid burning $50,000 on the wrong workflow.
Before any of that, see one working. Reading about an AI SDR and talking to one are different experiences, and the Comercial AI demo is the live product, not a mockup.
AI SDR questions, answered
Does an AI SDR replace my sales team?
No. The AI SDR covers the first line: instant response, qualification, quoting, and follow-up. Your team supervises from a panel and takes over any conversation with one click. Approval thresholds define what the agent decides alone and what needs a human signature. In practice, salespeople stop answering the same questions and spend their time closing the accounts that actually need a person.
Can you sell on WhatsApp with AI without Meta blocking the number?
A production agent runs on the official WhatsApp Business API with the company's verified number; that is how Comercial AI is delivered, on the client's own number. Budget for Meta as well: it bills WhatsApp conversations separately from any platform or agent fee.
What happens when the agent does not know the answer?
A well-designed agent escalates instead of improvising. You define thresholds: amounts that require approval, topics that transfer, hours of supervision. The team sees the full conversation in the panel and picks it up with complete context. And because an unmonitored agent degrades in months, the operation plan weighs as much as the build.
How long does it take to implement an AI sales agent?
In the market, a custom agent on one workflow typically takes 4 to 6 weeks to build, preceded by scoping that defines the integrations. Our process follows that pattern: a fixed-fee audit in 10 business days, a 4-week build Sprint on your own number, then managed operation. The slow step is rarely the AI: it is access to your systems and data.
Does this work for B2B or only direct-to-consumer sales?
Both. In B2C the agent quotes and charges inside the chat. In B2B it qualifies leads, books meetings with the right salesperson, and follows up on open quotes. We work with manufacturing, logistics, fintech, retail, and education companies, where WhatsApp is already the channel customers expect an answer on.
I already have a chatbot. Should I replace it?
Not necessarily. If your FAQ bot resolves most of what comes in, keep it: sometimes the honest answer is the subscription chatbot. Replacement makes sense when unresolved conversations pile up on humans, or when you want the agent to close the sale inside the chat. Before deciding, compare total cost per resolved conversation, not the subscription against the build.
Next step
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