What we ship for customers, what works, what does not, and the patterns we keep seeing across enterprise teams adopting Claude.

The most repeated support question has the dullest fix: find the order number, open the warehouse, check the carrier, write the mail. Give Claude the same reads your operator has and all four happen at once.

Most Czech companies run a CRM that records well and answers badly. Here is what changes when the same database is opened to Claude with one person’s permissions.

Integration, connector, API, MCP. A short glossary of the terms that come up when you connect company systems to AI.

What an MCP server actually does once we build one over Microsoft 365. Claude sees only what the signed-in person is allowed to see, and nothing more.

The most searched MCP example is a 3D tool being driven by Claude. It shows exactly what an ordinary company needs to know: if a graphics program can be connected this way, so can a warehouse, an ERP or an e-shop.

There are a lot of public MCP servers. Inside a company, only a handful decide anything. A guide to which ones lead to the data you work with daily, and which are still just a nice demo.

Once a customer can shop through an assistant, expectations shift for company orders too. What that means for your systems, and how to be ready.

An AI agent wired into company systems is not dangerous because it is AI. It is dangerous because it reads text, and text can carry instructions.

Developers and everyone around them ask the same things: what shipped, what slipped, who is blocked. Jira can answer on its own, with the permissions of whoever asks.

An AI assistant that knows your company does not need in-house developers. It needs correctly connected data and one governed platform.