Updated October 14, 2026.
Patrick Lencioni's The Five Temptations of a CEO is the starting point for this article. The suggestions below apply that leadership lens to teams adopting AI and changing how they work.
Effective leadership makes it easier for people to understand the goal, raise concerns and deliver good work. A new tool does not remove that responsibility. It creates decisions about ownership, quality and acceptable risk that leaders need to make explicit.
Make the outcome clear
Start with the work that should improve. Describe the problem, the people affected and the evidence that would show progress. For a document-review pilot, for example, define which documents are in scope, what a satisfactory review contains and who makes the final decision.
Give each outcome an owner, a review date and a clear boundary for decisions. Agree what happens when the team encounters missing information or an exception. People should be able to explain what they are responsible for without reconstructing it from several meetings.
Make accountability fair
When delivery falls short, establish what happened before deciding how to respond. Unclear expectations, blocked dependencies, insufficient training and repeated disregard of an agreed responsibility call for different responses.
Discuss specific behaviour and its impact, hear the person's account, and agree the next action. Document support and follow through consistently. Leaders also need to own the resources, priorities and decisions that sit with them. Accountability loses credibility when it applies only to the people doing the work.
Make disagreement useful
Invite concerns while there is still time to change the approach. Ask people closest to the workflow what could fail, which cases are being overlooked and where additional review is needed.
Turn disagreements into questions that can be investigated. A debate about whether a tool is “good enough” becomes more useful when the team agrees a test set and acceptance criteria. Challenge the proposal while treating the people involved with respect.
Decide with visible assumptions
A decision can be clear while the evidence remains incomplete. Record the assumptions, the decision owner and the conditions that would trigger reconsideration. Keep a pilot limited enough that the team can learn without making an open-ended commitment.
When the evidence changes, explain the adjustment. A leader who corrects a decision gives others permission to surface problems early.
Support adoption and review the result
Provide time to practise, a route for questions and feedback from real work. Review quality, completion time and avoidable rework alongside usage. High activity alone does not establish improvement.
Choose one current initiative and check whether its goal, owner, support and review criteria are clear. Contact Daly Ventures to discuss the leadership and operating changes needed for AI adoption.
