AI adoption is a business-process question first
The most useful AI conversations start with the workflow, the decision, and the information that needs to stay reliable.
The question is rarely whether a tool uses AI. The more useful question is whether it removes friction from a real business process without making the result harder to check.
Start with a recurring bottleneck
Look for a task that repeats and already has a clear owner. Preparing first drafts, sorting information, identifying missing inputs, or summarising a known set of documents can be good starting points because someone can review the result.
Protect the decision path
Automation is strongest when it supports a decision rather than obscures it. Keep the source material available, explain who checks the output, and decide in advance what should happen when the information is incomplete.
Make learning visible
Set a small before-and-after measure for the workflow: time to prepare, number of handoffs, or how often an item needs to be reopened. That creates a useful conversation about the process, not only the tool.