Use AI when it truly reduces administrative or operational workload.
I use AI as a complementary capability within concrete processes, especially when there is a high volume of documents, queries, classification, or information extraction.
Services for companies in Medellín and Colombia. I support remote projects and, depending on scope, needs that require on-site support.
Where AI can add value
- A team spends time reading, classifying, or summarizing large volumes of information.
- Users repeat queries about documents, policies, supporting files, or process data.
- AI can assist a task, but it needs rules, permissions, human validation, and traceability.
How I approach it
- Define the use case, risk, and success criteria.
- Prepare sources, context, permissions, and usage rules.
- Design classification, extraction, querying, or an agent according to the need.
- Add output controls, human validation, logging, and continuous improvement.
AI is not the starting point: it is incorporated when it improves a well-understood process and can operate with clear limits, context, and controls.
IA generativa · agentes · Python · APIs · automatización · clasificación
The next step is to understand the current process.
This capability can be combined with integration, automation and data analysis within the same project. I review your process first; then we agree on the components it needs and the scope of the solution.