Every DataTether post about adoption.
The cheapest path to enterprise AI value isn't a scarce specialist hire. It's giving your SAP admins, ABAP developers, and consultants the one thing they were missing.
mcp-uiA Claude artifact is an interactive chart or app the AI builds inside the chat. A live report takes that idea and makes it trustworthy for a business — server-defined, governed, and refreshed from live ERP data. Here's the difference, how to build one, and where it saves real money.
mcp-uiMCP isn't just tools anymore. MCP UI lets an AI assistant render real tables, charts, and KPI cards inside the chat — and you can ship them from your ERP data by dragging widgets, not writing a frontend.
sapYou don't need Joule, a migration, or a custom MCP server to point Claude, ChatGPT, Claude Code, Codex, or any MCP client at your SAP system. If your SAP exposes OData, there is a governed path that takes an afternoon.
sap'No code' usually sells toy automation. For SAP, it has to mean something more specific: no ABAP changes, no middleware to host, no MCP server to write — and governance that survives an audit.
tutorialYou don't need a sandbox SAP system to judge the OData-to-MCP idea. A public demo service and one guided flow take you from a URL to an AI answering real queries — here's the walkthrough.
adoptionThe demo dazzles. Then the project stalls for months. Here is where enterprise AI pilots actually die, and the four stages that get one past it.
enterpriseMCP brings real capability, but integrating it into production is not plug-and-play. The challenges worth planning for — and the value of having each one handled for you.
