How a CRPRO implementation works
- Assessment of your current customer service. Map how WhatsApp is used today: how many numbers and agents, where leads come in, what gets asked before a proposal and where conversations get lost. The funnel is built from that picture, not from a template.
- Funnel and stage design. Stages with entry and exit criteria, an owner for each stage and what needs to be recorded for an opportunity to move forward. This is what turns a list of chats into a pipeline you can forecast.
- CRPRO setup. Numbers, users, permissions, funnel, fields and tags configured for your operation. Conversations move to a shared inbox, with a unified history per contact.
- AI and automation setup. The conversational AI gets the qualification criteria, the answer base and the rule for handing off to a sales rep. Follow-up automations are designed around events and time without a reply, with the cadence of a good sales rep — not mass blasting.
- Training and adoption. The team learns to work in CRPRO during their real routine, and adoption is monitored in the first weeks: conversations handled outside the system, opportunities without a stage and overdue follow-ups show where to adjust.
What a CRPRO implementation delivers
Implementing CRPRO means putting your WhatsApp conversations inside a sales funnel: every sales rep on the same number, every conversation tied to an opportunity, the AI qualifying leads and booking meetings within your company's rules, and follow-up happening without relying on anyone's memory. Nexo leads the work from funnel design to team adoption.
AI CRM for WhatsApp vs. chatbot vs. traditional CRM
All three show up in the same buying conversation, and they solve different problems. What separates them is where the conversation happens and who records what was said:
| Criterion | AI CRM for WhatsApp | Flow-based chatbot | Traditional CRM |
|---|---|---|---|
| Where the conversation happens | On WhatsApp, inside the system itself | On WhatsApp or the website, in a menu script | Outside it — the sales rep types up what was discussed |
| Who replies first | The AI, within rules, or the sales rep | The programmed flow | The sales rep, when they can |
| Sales funnel | Every conversation tied to an opportunity | None; at most it routes the contact | Yes, updated by hand |
| Off-script conversation | The AI interprets it and hands off to a person when needed | Gets stuck or goes back to the menu | Depends on the sales rep |
| Customer history | Unified per contact, with the conversation | Limited to the flow | Only what someone recorded |
What CRPRO does in day-to-day operations
CRPRO brings the company's WhatsApp into one place and ties every conversation to the sales funnel. These are the features that change daily sales work the most:
- Shared inbox: several sales reps on the same number, with a unified history per contact
- Conversational AI that replies, qualifies leads and books meetings within your company's rules
- Visual sales funnel, with stages and owners
- Follow-up automations so no lead goes unanswered
Why implementation is a separate service
A poorly implemented AI CRM repeats the operation that already wasn't working, only faster: the AI qualifies by the wrong criteria, the funnel has stages nobody follows and sales reps go back to answering from their personal phones. Implementation exists so the system reflects how you really sell, and so the team has a reason to use it.
Because Nexo builds CRPRO, the people configuring it know the product from the inside — and the people proposing the funnel carry the risk of it working.
Where implementations usually get stuck
Three issues come up in almost every implementation, and they are dealt with before the system goes live:
- Qualification criteria that only exist in the best sales rep's head — without them written down, the AI has nothing to follow
- Sales reps who keep answering from their personal number — conversations outside the system never reach the funnel or the analysis
- An old contact base migrated without filtering — duplicates and dirty data carry over to the new system
Implementation in Brazil and Latin America
Nexo is based in Porto Alegre, Brazil, and implements CRPRO for companies in Brazil and Latin America. The work is remote, with in-person meetings when the project calls for it. Product details, plans and features are on the CRPRO website.