PC-AILeadership-01 - AI Leadership: Strategy, ROI, and Execution
Course Description
AI Leadership: Aligning Strategy, ROI, and Execution
Your organization knows AI will shape its future. Deciding where to invest, what value to expect, and how to move forward requires alignment across strategy, technology, and people.
This one-day program from UNH Paul College Executive & Professional Education helps leaders move from AI experimentation toward informed organizational action. Explore five connected decisions: where AI can create meaningful value, how to assess investment and ROI, whether your organization is ready, what successful workforce adoption requires, and how to establish governance that supports responsible use and scale.
Through faculty-led discussion, practical decision frameworks, cases, and exchange with leaders from other organizations, you will examine opportunities, challenge assumptions, and consider how to translate AI interest into sustainable organizational impact. The focus is on leadership decisions rather than training in specific AI tools.
Designed for business and technology leaders, the program welcomes CEOs, presidents, business owners, CIOs, CTOs, and leaders responsible for strategy, finance, operations, products, or organizational change—or your organization’s equivalent roles. Whether you hold one role or wear several hats, you can attend individually or alongside a colleague with complementary responsibilities. Joint attendance is welcome but is not required.
This registration page supports individual, self-service enrollment ONLY.
For organizational pricing (2+seats), please email PaulCollege.EDP@unh.edu.
Course Outline
Morning Session: AI Strategy, ROI, and Investment Readiness
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Align AI opportunities with organizational priorities and business outcomes.
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Evaluate potential value, measures of success, and total costs.
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Prioritize AI opportunities to guide investment decisions.
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Apply strategy and ROI frameworks to opportunities within your organization.
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Explore build-versus-buy options and assess data, technology, and implementation readiness.
Afternoon Session: Workforce Readiness, Adoption, and Governance
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Assess workforce readiness and the AI literacy needed for successful adoption.
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Prepare employees to work effectively with AI, including verifying outputs and applying human judgment.
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Address employee concerns and build organizational support for change.
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Explore governance, security, privacy, and responsible-use practices appropriate to different levels of risk.
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Identify practical steps for moving from experimentation to sustained, responsible adoption.
Learner Outcomes
Learning Outcomes / Goals
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Identify and prioritize AI opportunities that align with organizational strategy and business outcomes.
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Evaluate AI investments using organizational value, ROI, total cost of ownership, feasibility, and risk.
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Assess organizational readiness across data, technology, infrastructure, workforce, and change capacity.
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Evaluate implementation options, including build, buy, or partner decisions, vendor considerations, governance, security, and human oversight.
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Develop a practical path for moving a priority AI opportunity from experimentation toward responsible adoption.
Notes
Program Logistics
The program fee includes parking, a light continental breakfast, lunch, and program materials and resources.
Schedule
| Time | Session |
|---|---|
| 8:00–8:30 a.m. | Light Continental Breakfast |
| 8:30–9:00 a.m. | Welcome and Review of Program Goals |
| 9:00 a.m.–12:00 p.m. | AI Strategy, ROI, and Investment Readiness |
| 12:00–1:00 p.m. | Lunch |
| 1:00–4:00 p.m. | Workforce Readiness, Adoption, and Governance |
| 4:00–4:30 p.m. | Participant Action Planning, Debrief, and Program Recap |