How do you choose an artificial intelligence company in Puerto Rico?

What kinds of AI companies are there in Puerto Rico?

A company looking for AI usually finds four kinds of providers: resellers of ready-made tools, software houses that build from a specification, freelancers who handle one task, and AI integrators who start from the operation.

None is wrong by definition. The question is which one fits. If you need a specific tool that already exists, a reseller may be enough. If you need AI working inside your processes, you need someone who understands those processes first.

What criteria should you use to choose an AI company?

These seven criteria separate a serious provider from one that is only selling the idea.

• Production work you can see: systems real companies use today, not demos or slide decks.
• Who actually builds it: whether the person who studies your operation also designs the system, or hands it off.
• Clear limits on the AI: which decisions stay with a person, and why.
• Data ownership: your data is yours, and that should be clear from day one.
• Spanish-first support: your team and customers can work in Puerto Rican Spanish, and in English when needed.
• Maintenance as models change: a concrete plan to keep the system current.
• Starting with a diagnosis: understanding your operation before proposing anything.

Why does production work matter so much?

A demo shows what AI can do under ideal conditions. A system in production shows what it does with real customers, messy data and a team that has to use it while doing everything else.

Ask for company names, what was built and whether it is in use today. If a provider cannot show you anything running, you are paying to be its first case.

What should you ask before hiring?

Bring these questions to the first meeting. The answers say a lot about how the provider works.

• What systems do you have running today, and can I see them?
• Who will study my operation, and who will build the system?
• What will the AI not do in my company?
• Who owns the data, and what happens to it if we stop working together?
• How is the system maintained when AI models change?
• What is the first phase, what exactly does it include, and when does it go live?
• Can my team and my customers use it in Spanish?

What red flags should you watch for?

Be wary of anyone who promises the AI will do everything. An AI that sets prices, handles collections or decides how to treat a customer with no person behind it is a risk, not a feature.

Other warning signs: a large project with no phases, a proposal before anyone understands your operation, no working systems you can verify, and vague answers about who keeps your data. If nobody can explain how the system will be maintained a year from now, assume nobody will maintain it.

How does Nerigma measure up against these criteria?

Nerigma is one option among several, and here is how it answers each point. Its production work is public at nerigma.com/trabajos: Alutek moved from notebooks and WhatsApp to a complete operating system with an AI module used every day, and IT Services & Security has a web platform built for organic search that landed it a municipal client through that channel.

The person who studies the operation, Alan Ramos, also designs and builds the system. The limits are defined: prices, collections, payroll and how a customer is treated are decided by a person. Nerigma works in Spanish and English, keeps systems current through a monthly license as models change, and always starts with a free 45-minute operations diagnosis.