Leading AI Transformation
A 10-week blended executive program where your leadership team moves from AI pilots to scaled, profitable transformation, and leaves with a board-ready plan you will actually execute.
November 4, 2026 - January 27, 2027
Enroll NowRequest More Information
November 4, 2026 - January 27, 2027
Enroll NowRequest More Information
FORMATLive online + optional Coral Gables residency |
DURATION~10 weeks |
WEEKLYWeekly 90-min live sessions + self-paced coursework |
CREDENTIALMiami Herbert Exec Certificate |
STARTSFall 2026 |
COSTIndividual seat $3,950; Leadership team of up to five $15,000 |
Leading AI Transformation is a 10-week blended program where senior leaders and their teams move from AI pilots to scaled transformation, guided by a leading digital transformation researcher at Miami Herbert Business School.
Stop piloting. Start scaling
Why Now?
Nearly every company is using AI. Almost none are getting the value. The gap is not tools, it is transformation: redesigning how the organization actually works. This program closes it.
88%
of organizations use AI in at least one function
~2 in 3
are still stuck in pilots, not at scale
39%
report any bottom-line impact from AI
Who this is for
- C-suite and mid-senior leaders responsible for making AI real, not just talked about
- Directors of strategy, operations, digital, transformation, and the functions
- Leadership teams of three to five from the same organization (the signature move); individuals welcome too
- Professionals across banking, insurance, legal, defense, media, healthcare, and consulting
- No technical background required; built for business leaders, not engineers
The experience (curriculum)
Ten modules, each producing one building block. By the end, the blocks assemble into the participant's own transformation plan.
- The gap and your ambition. Diagnose pilots versus scale, bolted-on versus AI-native, and align the team on what to transform.
- AI strategy and business models. The AI market stack, where value accrues, and AI-native models that scale on data network effects.
- Redesigning the operating model. Map the work, then redesign it around AI, not the reverse.
- Decision-making under AI. What to delegate, augment, or keep human, and how to combine them.
- Building with AI I (lab). Build a working AI agent for a real task in your context.
- Building with AI II (lab). Compose workflows and ground AI in your own knowledge.
- Governance, risk, and verification. Guardrails matched to the stakes, and verification habits across the team.
- Leading the human side. Change, capability building, and the culture that makes it stick.
- From pilot to scale. The metrics, the business case, and the decision to scale.
- The board-ready plan (capstone). Integrate everything, present, and commit to a 90-day start.
Agenda and learning outcomes
What participants leave with:
- A board-ready AI transformation plan for their own organization
- Working AI agents built for their context
- A baseline-to-scale measurement plan and business case
- An aligned leadership team with shared language and decision rights
Taught by industry experts
Led by faculty from the No. 1 ranked Business Technology Department in the nation. Per the Association for Information Systems Research Rankings, the University of Miami leads the country in research productivity in information systems, based on publications in the field's most selective journals, including Information Systems Research and MIS Quarterly.
