Private AI: when should you run models yourself?
Hosted APIs are fast to start with. Self-hosted models give you control. A practical framework for choosing.
Most companies meet AI through a chat window. It answers questions, but it cannot see your CRM, file a ticket or update a spreadsheet. The value stays trapped in conversation.
A standard plug for AI
The Model Context Protocol (MCP) is an open standard for connecting AI models to external tools and data sources. Instead of writing a custom integration for every model and every system, you expose a capability once as an MCP server, and any compatible AI client can use it.
For a business, that means an assistant can look up an order, check inventory and draft a reply in one flow — using the same permissions and audit trail as your existing systems.
Where to start
Start with one read-only server around a system your team queries all day. Measure the time saved, review the logs, then add write actions behind human approval. Small, observable steps beat a big-bang AI rollout.
