A practical test for AI agents in real business work
can look strong in prepared demos but fail when they are put into messy real work. Many common examples are too simple, such as summarizing a document or answering questions about a , so they do not show how an agent would fit into a real company process.
The workflow in question is sales . Its data is spread across a CRM, several internal tools, and manual handoff steps that are not well documented.
An agent that could handle even part of this work would be useful, but there is doubt that the technology is ready beyond large, well-funded pilots. Useful evidence would include a real , the tool or platform used, the exact work the agent took over, and where it failed or disappointed.
Key points
- Demo agents often do not prove that an agent will work in a real company workflow.
- Simple examples like document summaries and questions do not map well to complex sales .
- A CRM, internal tools, and manual handoffs make harder.
- Real value comes from examples that name the tool, the task, and the failure points.
- A narrow first workflow is better for controlling token use and cost.