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Many workflows need clear rules plus one interpretation step, not an autonomous agent. Map the task, then compare designs on the same awkward cases.

MCP gives AI assistants a common way to reach business systems. Start with one bounded task, test inconvenient answers and keep permissions outside the model.

An AI feature can return perfectly formatted JSON with the wrong delivery date. Separate a readable record from a correct one and validate the business action.

A polished AI demo is the start, not the test. Build a small evaluation set of awkward questions and define what a useful answer means for your business.

A confident AI answer still needs evidence. How semantic search and good retrieval help an assistant find the right source before it starts improvising.

Give an internal AI assistant one useful job, the right approved sources and the same permissions as your staff, and keep looking up separate from changing things.