Conversational CRM

CRM · WhatsApp and Conversational AI

Victoria

Your company's WhatsApp, not your rep's

Conversational CRM with Twilio phone lines and native WhatsApp integration. Multiple agents on the same number without collisions, with AI that drafts, classifies and follows up.

Native integration with the official WhatsApp Business API

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The problem it solves

The channel through which most customers in Mexico now buy, ask and complain is WhatsApp — and in most companies it lives on a salesperson's personal phone. When that person leaves, they take the book of business, the history and the commitments with them. No CRM is worth much if the real conversation happens on a device the company doesn't control.

Victoria is built for sales, support and collections teams handling WhatsApp and phone with more than one agent: distributors, real estate, clinics, schools, insurers and service departments that need a single history and traceability.

Modules

Six pieces to make a WhatsApp number company infrastructure rather than somebody's cell phone.

💬 Native WhatsApp

Integration with the official WhatsApp Business API. Templates, media and managed 24-hour window.

☎️ Twilio telephony

Numbers, inbound and outbound calls, recording and automatic logging on the contact record.

👥 Multi-agent

Rule-based or manual assignment, separate inboxes, transfer with context and collision locking.

🎯 Pipeline

Configurable stages, dated tasks, reminders and forecasting grounded in real conversations.

🤖 AI Agent

Reply suggestions, intent classification, commitment detection and thread summarization.

📊 Metrics

First response time, volume per agent, conversion by stage and loss reasons.

How it works

💬 A number that belongs to the company

Victoria runs on the official WhatsApp Business API: the number belongs to the company, with its verified name, and conversations live in the CRM. When an agent leaves the team, their inbox is reassigned and the history stays. The book of business stops being a personal asset and goes back to being an organizational one.

👥 Several agents without stepping on each other

Conversations are assigned by rules — shift, load, query type, account — or by hand. Each agent sees their own inbox, nobody answers the same message twice, and a transfer carries the full thread and internal notes with it, so the customer doesn't have to retell their story.

☎️ The call and the chat on one record

With Twilio lines, inbound and outbound calls are logged alongside the same contact's messages. Whoever picks it up sees one timeline covering what was said on the phone and what was written on WhatsApp — which is how the customer experiences the relationship, even when companies split it across two systems.

🤖 The AI accelerates the agent, it doesn't replace them

The default behavior is assistive: suggest the reply, preload the data, propose the next action — and have a person approve. Full automation is enabled only where the organization decides and within the perimeter it defines, with immediate escalation to a human when the customer asks or the conversation leaves the script.

La Central Hardware

One number · three agents

Sample conversation

Hi, do you have the half-inch water pump? I need it today.
Victoria
Hi. Yes: three left at the Centro branch and one at Satelite. Shall I hold one for you?
Centro, please. How late are you open?
Victoria
Until 7 pm. It is on hold under your name, reference A-4471.
Can you invoice it?
Classified as billing and routed to the Billing desk
Daniela · Billing
Of course. Send me your tax ID and email and I'll issue it today.

Illustrative conversation. It does not correspond to any real customer or operation.

Artificial Intelligence

AI that works inside the conversation

Victoria's agent reads the full thread with its CRM context and proposes the reply the human agent would have spent four minutes writing, with the right data already filled in: the balance, the date, the model in stock. It also classifies intent on the fly, detects a payment commitment or an appointment date mentioned in passing and schedules it, and summarizes long threads for whoever picks them up. Outside business hours it answers what it can resolve and escalates the rest with context already assembled.

Capabilities

Native WhatsApp Business API integration: an official company number, not a personal phone
True multi-agent: several people handle the same number with assignment, individual inboxes and no collisions
Twilio phone lines: inbound and outbound calls logged on the same contact record
Conversational AI that suggests replies, classifies intent, schedules commitments and summarizes threads
Unified history per contact: WhatsApp, calls, notes and funnel stage in a single view

With what you already use

The channel is WhatsApp through its official API, and the AI layer draws on several providers depending on what needs drafting, classifying or summarizing.

Native channel

Official WhatsApp Business API: verified company number, approved templates and supported multi-agent access on one number. Not an automation of the consumer app.

WhatsApp Business API

Model lineup

Claude, OpenAI and Gemini behind the conversational agent. Reply suggestions, intent classification and thread summaries do not depend on a single provider.

Claude
OpenAI
Gemini

The marks shown belong to their respective owners and are displayed to indicate available integrations.

Frequently asked questions

It is the official WhatsApp Business API. That matters for two reasons: solutions automating the consumer app violate its terms and expose the number to being blocked, and only the official API provides a verified name, approved templates and supported multi-agent access on a single number.

No. Victoria works with WhatsApp alone if the phone channel isn't needed. Twilio comes in when you want calls on the same record as chats, or when the team does outbound dialing and needs logging and recording in the CRM.

There is no meaningful technical limit; the design is multi-agent from the ground up. What gets configured is how work is distributed: by shift, by load, by query type or by assigned account. Collisions are prevented by locking a conversation while someone is handling it.

It can replace it or coexist with it. Victoria is a full CRM for teams that work through conversations, but if a corporate CRM already exists, it integrates by API to sync contacts and stages and contributes the conversational layer those systems usually lack.

Yes, and it is one of the most frequent uses. Templates, hours and contact frequency are configured to fit regulation and internal policy, and every interaction is logged with date, agent and content — which is exactly the evidence a collections audit asks for. Combined with Qualidot, those conversations can be audited against a rubric.

How many personal phones is your customer book living on today?

Tell us which process is costing you time or money. We'll tell you straight whether PyCore SGC, Qualidot, Artemisa360 or Victoria fits — and if it doesn't, that too.

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