Team on the Front Line

Signs to watch for

• The team is skilled, motivated and getting results with AI.
• It is very exposed and often taken as a reference point.
• Positive results are followed by new doubts, caution or slowdowns in adoption.
• Alongside the results, questions emerge about the future of the role and the value of skills.

The framework stresses precisely how hard this tension is to see, because it can hide inside an apparent success.

The biggest challenge to face

Helping the team’s sense of its own value evolve while AI shows it can carry out more and more tasks.

The baggage it may bring with it

Sometimes, to understand how a team approaches the present, it helps to look at its history. Try to recognise whether one of these experiences appears in its past, in the ‘Explore the story the team carries with it’ path.

Where to focus right away

Make uncomfortable questions legitimate. ‘If AI works this well, what is left for me?’ is a question to bring into the open.

Involve the team as partners. Those who experiment first can help build the way work and roles will evolve.

Accept that not all the answers are available yet. Here, support also requires the ability to stay together within a transformation whose outcome is not yet written.

A question to bring to the team

If AI allowed us to do far less than we do today, where would we want to shift our value?