How to deploy an AI agent in your sales operation
- Pick one task, not the whole operation. The first agent handles one stage with volume and a clear rule: answering leads that arrive after hours, qualifying by the criteria the team already uses, or re-engaging people who stopped replying. Starting with the whole operation is the fastest way to keep the project stuck in pilot.
- Write the criteria before the prompt. The agent only qualifies well if the qualification criteria exist in writing: what a good lead is, what needs to be asked and when the conversation goes to the sales rep. If the team doesn't agree on that, the agent reproduces the disagreement at scale.
- Connect the agent to the CRM and the channel. An agent that talks but doesn't record creates one more place where information gets lost. It needs to read the contact's history, save what it learned and move the deal to the next stage in the CRM, on the same channel the customer uses — in Brazil, almost always WhatsApp.
- Define the handoff to a human. Every agent needs an exit point: requests outside the sales policy, complaints, negotiation, a customer asking to talk to a person. The handoff rule is written before the agent goes live, and the sales rep receives the conversation with a summary of what has already been said.
- Measure by the conversations, not by impressions. In the first weeks, read a sample of conversations every day and track what matters: time to first response, qualification rate, booked meetings that actually happen and conversations transferred unnecessarily. The agent is tuned based on what the conversations show.
What an AI agent does in a sales operation
The agent takes on the tasks that fill a sales rep's day without requiring negotiation: replying fast, asking what needs to be asked, recording and remembering. These are the tasks where leads usually get lost — not for lack of interest, but because nobody replied in time or nobody followed up.
- First response: replies in seconds, at any hour, and understands the question even when it arrives out of order
- Qualification: asks the questions from the company's criteria and saves the answers in the CRM
- Scheduling: offers slots from the right sales rep's calendar and confirms the meeting
- Follow-up: re-engages people who stopped replying, with a message that takes the earlier conversation into account
- After-sales and repeat purchase: reminds customers to restock, collects feedback and flags new sales opportunities
- Analysis: reads the team's conversations and points out at which stage deals are being lost
AI for business: where to start
The question "how do I use AI in my company" usually starts with the tool. The path that delivers results starts with the task: a stage with high volume, a clear rule and a measurable outcome. Sales is full of these stages — answering leads, qualifying, scheduling, following up — which is why sales and customer service are usually the first place where AI pays for itself.
At Nexo, AI comes in on two fronts, both with proprietary software:
- AI agents that talk to customers, qualify, book meetings and record everything in the CRM (CRPRO)
- Inventory AI that reads the ERP, forecasts demand and prioritizes purchasing, clearance and product mix (SmartOrders)
What an AI consultancy does
AI consulting is the work of deciding where artificial intelligence solves a real problem for the company, preparing what it needs to work — process, criteria, data and integration — and tracking results once it is in operation. The technical part is usually the smallest; what decides the outcome is choosing the right task and writing the rules the AI follows.
Nexo's AI consulting is applied to sales: it starts with an assessment of the sales operation, deploys AI automation in the stages worth automating and measures by what shows up in the conversations and the funnel, not by the demo.
An AI agent is not a flow-based chatbot
A traditional chatbot follows a decision tree: the customer picks a number and gets the answer set for that number. It works for predictable questions and gets stuck when the conversation goes off script — which, in sales, is almost always.
An AI agent interprets the message, checks the contact's context and chooses an action from an allowed set. That makes it useful in open-ended conversations, and it also demands more care: business rules, limits and the handoff to a human must be defined, because the agent won't stop on its own when it faces a situation it shouldn't handle.
What the agent should not do
Most problems with AI agents don't come from the technology, but from tasks that should never have been handed to them. These limits go into the configuration before any real conversation:
- Negotiate price, deadlines or terms outside the written sales policy
- Promise what the operation can't deliver — installation dates, stock, availability
- Answer questions outside its knowledge base instead of handing off to a person
- Handle complaints, collections or sensitive situations on its own
- Collect personal data beyond what the sale requires; customers should know they are talking to an automated assistant, and data handling follows the LGPD (Brazil's data protection law)
How Nexo implements it
Nexo builds CRPRO, an AI CRM for WhatsApp in which the conversational AI qualifies leads and books meetings. Implementation starts before the software: defining with the team the agent's task, the qualification criteria and the handoff rule. Only then is the agent configured, connected to the funnel and monitored through its conversations.
When the company already uses another CRM, the integration is evaluated during the assessment. Switching tools only comes into scope if it becomes clear that the current one blocks something the operation needs to do.
Serving Brazil and Latin America
Nexo is based in Porto Alegre, Brazil, and deploys AI agents for companies in Brazil and Latin America. The work is done remotely — assessment, configuration and follow-up happen in online meetings and inside the tools themselves — with in-person meetings when the project calls for it.