AI Is Not One Thing
When people say "AI" they mean different tools: document processing, workflow automation, chatbots, predictive analytics. Each has different risk profiles, infrastructure requirements, and appropriate use cases. The first question isn't "should we use AI?" — it's "what specific operational problem are we solving?"
The Critical Question: Where Does Your Data Go?
Most commercial AI tools (ChatGPT API, Google Gemini, etc.) send your data to foreign servers for processing. For institutions handling patient records, government documents, or legal files, this is a compliance and sovereignty risk. The safer path is locally deployed AI — models that run inside your infrastructure, consistent with digital sovereignty principles.
What AI Can Actually Automate
High-value use cases for Caribbean institutions: document classification and extraction (intake forms, applications), appointment scheduling and triage, workflow routing (who needs to see this?), report generation from structured data, and staff-facing internal knowledge bases. These are operational efficiency wins — not science fiction.
The Right Way to Start
Don't start with AI. Start with the workflow. Map the process you want to improve, identify where time is lost, and then evaluate whether AI — or simpler automation — is the right lever. Most institutions benefit from workflow automation before they need AI at all.