01/10/2026
Great discussion in our ๐๐-๐๐ฟ๐ถ๐๐ฒ๐ป ๐๐ฒ๐ฎ๐ฑ๐ฒ๐ฟ ๐๐ฒ๐ฏ๐ถ๐ป๐ฎ๐ฟ, where I shared highlights from ๐ฆ๐๐ฎ๐ป๐ณ๐ผ๐ฟ๐ฑ ๐ข๐ป๐น๐ถ๐ป๐ฒโ๐ ๐๐-๐๐ฟ๐ถ๐๐ฒ๐ป ๐๐ฒ๐ฎ๐ฑ๐ฒ๐ฟ๐๐ต๐ถ๐ฝ: ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐ถ๐ฒ๐ ๐ณ๐ผ๐ฟ ๐๐ต๐ฒ ๐๐๐๐๐ฟ๐ฒ ๐ฝ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ and explored what this means in practice for leaders and managers.
A few key takeaways:
๐น A key role for managers is Framing, Structuring and Evaluating AI โ creating clarity around why AI matters, embedding it into real workflows and assessing whether it is delivering measurable value.
๐น Start with the work, not the technology โ identify friction, redesign workflows and be deliberate about what AI does and where human judgement remains critical.
๐น Build AI fluency, not just tool familiarity โ people need the confidence and capability to experiment, critically evaluate outputs and use AI effectively.
๐น Measure outcomes, not AI activity โ look at whether AI is improving time, quality, capacity, decision-making and risk, then continuously refine how it is being used.
๐น Managers are the bridge between AI strategy and everyday behaviour โ modelling use, creating psychological safety and helping teams build new ways of working.
Thank you to everyone who joined us and contributed to such a practical discussion.
What do you think is the most important role managers need to play in successful AI adoption?