Mundo Lógico

Our products

Sell better online,
and automate what eats up your time

Two ways to start: a well-built Shopify store, or automating the processes that are still done by hand.

If you sell online, you can also see how to connect your store to your operation. See how we review a store

AI automation

Each product solves a specific problem. They are not demos or concepts: they are working systems with real architecture, verifiable metrics and ongoing support.

Product 01
90-day engagement

IA Lab

In 90 days you know whether your AI hypothesis works, with real data and the system already built.

We take a specific business use case, build an experiment on real architecture, measure it against metrics defined from the start, and iterate at least twice, all in a sandbox environment without touching production systems. In 90 days you have a data-driven decision: scale it or not. And if it scales, the system is already built.

The problem

Companies know they should adopt AI but don't know where to start without putting their systems or budgets at risk. Generic exploration projects are expensive, take months and end in reports with nothing implemented. The result: investment with no measurable return, and internal resistance that blocks real adoption.

How it works

01 · Definition

Use case, hypothesis, technical and business success metrics. Without a defined KPI, the experiment does not start.

02 · Build

A complete working architecture in a sandbox: data, flows, intelligence. Never in production.

03 · Iteration

At least two cycles of adjustment and measurement with the client's real data.

04 · Decision

Does it meet the metric? Is the impact measurable? Is the projected cost viable? If so, it is ready for production.

What's included

From hypothesis to a validated MVP in 90 days
Secure sandbox, without touching production systems
Technical and business metrics defined before we start
At least 2 iteration cycles per use case

Who it's for

Mid-size and large companies that want to validate AI before committing budget
Organizations with repetitive processes where they suspect AI can help but are not sure
Innovation teams that need evidence to sell the idea internally

Not for

Companies that already know exactly what to build and have an approved budget
Projects with no access to real process data

Common use cases

→Document processing
→Customer service
→Automated reports
→Automated onboarding

Tech stack

Make.com
Make.com
OpenAI
OpenAI
Claude
Claude
Gemini
Gemini
Airtable
Airtable
Monday.com
Monday.com
Product 02

Knowledge Engine

Your knowledge base always up to date, without waiting for someone to find the time to write.

We build and maintain your help desk's knowledge base with AI agents. Your team gives the instructions, the agents write the content, you approve it, and the system publishes and updates it automatically on the platform you already use.

The problem

Your support team loses hours answering the same questions over and over. The knowledge base exists, but it is outdated, incomplete or poorly organized. When processes change, nobody updates the documentation. The result: agents improvise, customers can't find answers, and tickets keep piling up.

How it works

01 · Ingestion

The client hands over what they have: PDFs, resolved tickets, manuals. The agents structure the base.

02 · Generation

The team says which article it needs. The agent writes the draft using only validated information.

03 · Validation

The reviewer approves or rejects with comments. If rejected, the agent fixes it without starting over.

04 · Publishing

The system publishes automatically. When something changes, it detects the affected articles and flags them for update.

What's included

Writes articles from plain-language instructions
Editorial flow with approval, rejection and scheduled dates
Publishes automatically to Zendesk, WordPress, Confluence and more
Detects outdated content and flags it for review

Who it's for

Companies whose support teams handle a high volume of repetitive questions
Organizations with scattered documentation that nobody keeps up to date
Companies that already use Zendesk, Freshdesk or similar but get far less out of it than they could

Not for

Companies with no documented processes at all
Teams without someone responsible for reviewing the generated content

Available add-ons

→Multiple languages
→Automatic updates
→AI-generated images

Tech stack

Claude
Claude
Make.com
Make.com
Airtable
Airtable
Monday.com
Monday.com
ZendeskConfluence
Product 03

Support Engine

Your people only handle the cases that truly need human judgment.

We deploy an AI agent trained on your company's real knowledge. It serves your customers on the channels they already use (WhatsApp, voice or web), resolves what it can, escalates what it can't with the full context, and connects to your systems to look up and record information in real time.

The problem

Support teams answer the same questions every day. Volume grows, hiring more agents is expensive, and generic bots don't know your business, so they end up frustrating customers without solving anything. Human agents burn out on cases that don't need human judgment, and response times stay high.

How it works

01 · Knowledge base

What the agent knows. Without it, the agent can't answer well. It is built during setup.

02 · Conversational agent

A language model with the client's context, a defined tone and clear limits. It does not improvise beyond the base.

03 · Resolution or escalation

It resolves what it can in real time. What it can't, it escalates with the full history.

04 · Orchestration

Make.com connects the agent to the channel, manages the flow and records every interaction.

What's included

Live 24/7 on WhatsApp with its own knowledge base
Queries your systems in real time to answer with real data
Escalates with the full history, so the customer never repeats anything
Answers only with validated information, with no hallucinations

Who it's for

Companies with a high volume of repetitive questions on WhatsApp or other channels
Call centers that want to extend their hours or reduce operational load
Companies that already have a knowledge base but haven't put it to work in customer service

Not for

Companies without defined customer service processes
Cases where almost all service requires complex human judgment

Available add-ons

→Voice agent (VAPI)
→User authentication
→API connections
→Payment processing

Tech stack

WhatsApp Business API
OpenAI
OpenAI
Claude
Claude
Make.com
Make.com
Airtable
Airtable
Monday.com
Monday.com
Product 04

Signal Engine

Your business spots opportunities in its own data and acts on them, without anyone watching reports.

We connect your data sources, analyze them continuously with AI, and when the system detects a relevant signal, it acts on its own. Your business learns from its own behavior and responds in real time under explicit rules that you define.

The problem

Your company collects data every day: in the CRM, in the billing system, in the loyalty app. But that data sits idle. Nobody looks at it in real time, and by the time someone analyzes it, it is too late to act. Campaigns go out the same for everyone, and opportunities are lost because nobody caught them in time.

How it works

01 · Source integration

We connect your CRM, loyalty, billing and other platforms that have an API.

02 · Continuous AI analysis

The system continuously analyzes behavior patterns, key metrics and anomalies.

03 · Business rules

Defined with you: which signals matter and which action each one triggers. Nothing runs autonomously without explicit rules.

04 · Automated action

WhatsApp, email, a CRM record or a benefit activation, whenever the conditions are met.

What's included

Brings CRM, loyalty, billing and other sources into a single flow
Detects behavior patterns in real time
Triggers automatic WhatsApp or email actions based on defined rules
Everything runs on explicit rules, with no uncontrolled autonomous actions

Who it's for

Companies with customer data spread across several systems that never get cross-referenced
Marketing teams that run manual, generic campaigns for lack of automation
Organizations with an active CRM that they don't use to trigger real-time actions

Not for

Companies without structured data, or platforms without an API
Organizations without clarity on what behavior they want to detect

Common industries

→Retail and shopping malls
→Telecommunications
→Healthcare
→Finance

Tech stack

Make.com
Make.com
OpenAI
OpenAI
Gemini
Gemini
Monday.com
Monday.com
WhatsApp Business API

Which of these products is right for your company?

Book a 20-minute call. We review one specific process and tell you which product best fits your operation.