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Using AI at Work

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AI leadership

AI leadership means deciding where AI belongs in the work, who owns the outcome, and how people will use it. These conversations connect executive priorities with everyday adoption, management and human judgment.

How should our executive team prioritize AI adoption initiatives?

Start with a specific business problem, make the workflow and its rules clear, and choose an outcome you can measure. Identify the person who owns the process, the expert who can judge the output, and the budget needed to continue if the pilot works. This combines Eddie Irvin's emphasis on process clarity with Ronnie Coleman's advice on expert involvement, funding and an expansion path.

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What should leaders do before adding AI to a shared workflow?

Map the handoffs, permissions, shared information and quality standards first. Justin Watt recommends starting with one important workflow or a department's work so the team can establish a shared way of operating. Giving everyone a chatbot account does not, by itself, fix how work moves between people.

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How can leaders preserve human judgment in AI-assisted decisions?

Make decision ownership explicit and give people a chance to form a view before consulting AI. Rana Gujral describes writing down the decision, an initial instinct and the evidence that could change it, then asking AI to challenge that thinking. Decisions that are harder to reverse need a clearer trail of the reasoning and human responsibility.

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How do leaders build AI adoption beyond a small group of enthusiasts?

Combine executive support with employee-led experiments, practical enablement and conversations about concerns. Denis Romanovskiy discusses internal champions and small experiments. Jason Hill's school-district experience shows why access, understandable use policies and community trust also need attention. These are examples to adapt to your organization, rather than a universal rollout formula.

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How should leaders measure the value of an AI pilot?

Choose a business outcome and record the starting point before the pilot. Ronnie Coleman distinguishes producing more work from reducing risk, improving growth or changing operating costs. Ask how the result will be demonstrated, who will evaluate it, and what happens after the pilot if it succeeds.

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