Miguel Angel Diaz

A consultancy that takes AI from use case to production, with no pilots stuck at the demo stage. It prioritizes where AI makes sense, builds the system or agent that solves it, and leaves it running with monitoring, under the company team's control.

A technology startup. I handle organic growth and the understanding of the product: what it does, who it is for and why anyone would pick it. The two hold each other up — you cannot grow what you do not understand.

Support for the research office of Fundación Universitaria Comfamiliar Risaralda so technology projects start well structured: a written scope, a decided architecture and deliverables with dates, with hands-on technical support for the teams that run them.

Workflows that read documents and extract data, move approvals, alert on time and answer with the company's internal knowledge. The team stops sorting and chasing tasks by hand and focuses on what actually needs judgment.

Software built to the measure of the business: CRM, quoting and internal portals, inventory, purchasing and assets, and financial and operational modules. Every tool reflects how the company works today, integrates with what already exists and gets adopted fast because it removes work instead of adding it.

Information living in spreadsheets, paper and chats moves to one place and reaches whoever needs it, when they need it. Tools connected through APIs and data turned into dashboards and reports that update themselves.

Scattered data turned into answers with AI models suited to the case: automatic summaries, alerts when something drifts from normal, and direct answers to plain-language questions, with no reports built by hand.

Agents that run projects and processes autonomously inside the company: they handle support, back up sales and close cases end to end, connected to the CRM, email and chat. With written limits on what it decides alone, evaluation before each release and a log of every action.