Introducing AI in your team: the questions before the technology
When you introduce AI in your team, first settle what the tool is for and which rules apply to working with it. Whether your team uses it in everyday work depends on this.
The questions before the technology
- What are we using it for, on which two or three tasks
- What may be put into it and what may not
- Who checks the output, and against what
- Who is available when it gets stuck
- What happens to the time that is freed up
The last question decides
As long as it is unclear what happens to the time gained, a team assumes the worst. The tool then gets tried politely and quietly put aside.
Answer that question early and honestly. Then the team knows where it stands, even when the answer is uncomfortable.
What works in practice
- Start with a few concrete use cases rather than with a platform
- Name people in the team as contacts and give them time for it
- Agree a simple scheme for checking output that everyone knows
- Write the data rules down, short and readable
- Look together after four to six weeks at what has stuck
The role of leadership
Leadership does not need to operate AI. It needs to answer what the tool is there for in its own area and to set the frame within which people may experiment. Where that frame is missing, every person decides for themselves, and that is where the problems with data and quality come from.
How we work on this
There are ready formats for this: an entry-level training for managers who want to judge AI first, and a seminar on the roll-out in the organisation covering roles, communication and governance. Both can be adapted to your situation.
Does that sound like your situation?
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