AI & Machine Learning

Value Proposition

Tailored models that transform your data into autonomous decision-making and operational efficiency.

Key Pain Points Solved

• Critical decisions being made without predictability.
• High volume of data with no translation into practical action.
• Manual prioritization of demands with high rework.

What We Deliver

• Predictive models for overtime risk, budget variance, churn, and productivity.
• Anomaly detection in tasks, clients, and teams.
• Intelligent chat for data and document queries (AI with SQL + RAG).

How We Implement

• Diagnosis of available data and business objectives.
• Modeling and integration of AI routines into current flows.
• Performance monitoring and continuous evolution.

Expected Results

• Reduction in rework and reactive decisions.
• Higher predictability of costs and deadlines.
• Evidence-based operational prioritization.

Use Cases

• Predicting overtime overflow risk per project.
• Identifying accounts with the highest chance of loss (churn).
• Answering management questions using document base and transactional data.