1. Choose a task
Meeting preparation, reply drafts and internal policy searches provide a manageable starting point. The existing process supplies comparison points: required sources, time spent and typical errors. These make the value of AI assistance measurable.
2. Establish data and control boundaries
A defined set of data and clear permissions provide the foundation for a pilot. Privacy leads support the relevant agreements and legal grounds. For actions that change information, drafts followed by approval offer a controlled starting point.
AI Link's personal onboarding combines technical connections with practical work scenarios. A useful pilot goes beyond a successful login to a repeatably valuable task.
3. Measure value and errors together
Turnaround time, correction effort and source quality together show whether AI reduces everyday work. A useful comparison also includes unusual cases. These findings support a gradual expansion with clear ownership.
- Compare equivalent cases before and after
- Record error categories, not just satisfaction
- Assign an owner to each automation
Sources & further reading
Original research, provider documentation and further reading on the concepts and figures discussed here.