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Artificial Intelligence

Machine Learning models, Generative AI and anomaly detection that extend what your team can do and let you anticipate business scenarios, instead of reacting when it is already too late.

Inteligencia Artificial
+300 companies trust us
What it solves

From knowing what happened to knowing what will happen

AI capabilities focused on solving real business problems, not on deploying technology because it is trending.

Generative AI: document analysis, automatic summaries and chatbots built on your business data.

Predictive AI: machine learning models that learn from your information and anticipate what is going to happen.

Prescriptive AI: recommendations on what to do, based on data and optimization, not only on diagnosis.

Anomaly detection: and patterns invisible to the human eye, before they hit your results.

Inteligencia Artificial
Use Cases

AI applied to real business decisions

This is how our clients are already using AI to win.

Inteligencia Artificial

Demand forecasting

Improves accuracy 20–40% vs. traditional methods, cutting stockouts and excess inventory.

Churn prediction

Spot customers at risk of leaving before they go, so you can act in time with targeted retention.

Anomaly detection

Fraud, operational deviations and unusual behavior flagged automatically, without waiting for Monday's report.

Pricing and promotion optimization

Based on real elasticity and historical data, not on intuition or on what the competition did.

Dynamic customer segmentation

Offers personalized from real behavior, not from generic assumptions about each segment.

Predictive maintenance

Anticipate failures in critical equipment to reduce unplanned downtime on the plant floor.

Internal chatbot for KPIs

Answers questions about business indicators and data in natural language, without waiting for an analyst.

Document process automation

Extraction, classification and analysis of documents with AI, removing repetitive manual work.

Two paths

2 possible futures

The difference between leading your market and always reacting too late.

Month-end close
Month-end close in 2–4 days, not 10–12
Source of truth
A single source of truth for the whole organization
Visibility
Real-time visibility into your operation
Scenarios
Build financial scenarios in minutes
Decisions
Decisions based on data, not on gut feel
Meetings
Meetings focus on deciding and executing
Month-end close
Still closing in 10+ days with manual consolidation
Source of truth
Every area with its own version of the truth
Visibility
Finding out about problems once they have already hit
Scenarios
Weeks to evaluate a single strategic decision
Decisions
Deciding blind while the competition moves ahead
Meetings
Meetings wasted arguing about the numbers
Orlando F.Danielle V.
Orlando F.
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