How to use multi-agent systems and operational intelligence to improve business processes
We explore how AI agents can work together on data, documents and workflows to automate decisions and reduce operational friction in companies.
Notes on how we apply artificial intelligence in real operations: criteria, limits and decisions.
This section collects practical guides on artificial intelligence applied to business: how to find processes worth automating, when an autonomous agent pays off and how to process documents at scale. The material comes from real Humano projects in Chile and Latin America.
We explore how AI agents can work together on data, documents and workflows to automate decisions and reduce operational friction in companies.
How to extract and process information from business documents.
Criteria to decide between simple automation and autonomous agents.
A practical framework to identify which tasks can benefit from artificial intelligence.