The starting point
Employees are already exploring generative AI, but expectations differ between teams. Leaders want to support useful experimentation while making responsibilities for information handling, output review and escalation easy to understand.
A considered approach
- Map current uses and select a small number of low-consequence tasks for guided practice.
- Write plain-language rules for approved tools, acceptable inputs, human review and disclosure.
- Train with examples from the team’s own workflows, including cases that should be stopped or escalated.
- Collect questions and incidents, review the standard on a set cadence and update guidance as tools and work change.
What the engagement could produce
- AI use-case and risk workshop
- Team AI-use standard
- Role-based training session and examples
- Review cadence and feedback register
Your context comes first.
Every engagement starts with your objectives, existing information and an agreed scope. This example is a conversation starter.
Bring your plans to the table