MCP 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.
The moment AI writes to a system of record, it enters audit scope. Most AI pilots have no answer to the change-accountability question. Here is what a defensible one looks like.
Joule is real — for the SAP stack it was built for. If you run ECC or on-premise S/4HANA, or your company standardised on Claude or ChatGPT, here is where the gap is and what your options are.
All-or-nothing access is why AI-to-ERP projects either stall in read-only purgatory or terrify compliance. The working model splits the problem: reads flow freely, writes wait for a named human.
Two board-level pressures — the ECC maintenance deadline and the AI mandate — are usually treated as one sequenced project: migrate first, AI after. That sequencing quietly costs years.
MCP 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.