Decide whether the problem is worth solving first
Scenarios suitable for priority investment can usually reduce high-frequency duplication of work, shorten information acquisition time, or improve the consistency of key business links.
If the problem itself lacks clear users and business results, even if the model is effective, it will be difficult to form sustainable value.
High-frequency tasks are easier to form feedback
The more frequently a task occurs, the easier it is to collect real feedback in a shorter period of time to determine whether the AI has improved the way work is done.
Confirm available data and system entries
Knowledge materials, business data and system interfaces determine what AI can understand and perform. Data quality, permissions and update methods need to be confirmed before piloting.
Limit risks to a controllable range
In the first scenario, it is not appropriate to directly undertake irreversible high-risk decisions. Prioritize tasks whose results can be verified, errors can be rolled back, and personnel can intervene.
- Output can be quickly inspected by humans
- Clear scope of operations and data permissions
- You can return to the original process in case of failure
- Pilot results have clear acceptance criteria