AI at Work – How Managers Balance Curiosity, Resistance, and Reinvention

Charlene Berthier focuses on what employees need from AI: save time on routine tasks, stay in control of decisions, trust results through transparent sources and validation, and interact easily so outputs can be refined.

Real deployments demonstrate a clear pattern: a policy-search agent reduces handle time by surfacing the correct document with the right explanation. At the same time, a real-time recommendation engine personalizes offers, allowing advisors to adjust inputs on the fly.

Adoption accelerates when managers engage users early, explain capabilities and limits, humanize the team behind the tool, build communities that share wins and doubts, and listen through continuous feedback—so curiosity turns into confident reinvention.