Enterprise AI Leadership Fellowship
Helps senior leaders choose where AI creates value, govern it well and bring their people with them.
Most organizations have tried AI. Fewer have turned it into lower costs or better services. This fellowship closes the gap between technical teams and executives, so leaders can judge use cases, set budgets and manage the risks without becoming engineers.
Fellows work in a hands-on lab with current AI tools and run simulations of real decisions: which process to automate first, how to protect data and how to measure the return. Each fellow leaves with an AI roadmap for their own organization.
AI Value Cases
Spotting where AI cuts cost or lifts service, and where it does not.
Data Governance
Ownership, privacy and security of the data that AI depends on.
AI Risk & Ethics
Bias, errors and accountability when machines inform decisions.
Leading Adoption
Bringing teams through new ways of working with everyday AI tools.
For leaders who own budgets, services or transformation programs.
- CEOs and chief operating officers
- Heads of digital and transformation
- Directors of government services
- Leaders of data and technology units
A senior role with responsibility for a budget, a service or a team.
4 months
AI for Leaders
What current AI can and cannot do, explained for decision makers.
Applied AI Lab
Hands-on work with AI tools on processes from fellows' organizations.
Governance & Risk
Policies, data protection and oversight for responsible AI use.
The AI Roadmap
Each fellow builds and presents a costed roadmap for adoption.
Hands-On AI Lab
Fellows use the tools themselves before they decide on budgets.
Decision Drills
Timed exercises built on real choices about automation and risk.
Expert Clinics
Short sessions with practitioners who have run AI programs.
For you
- Confidence to judge AI proposals
- A working grasp of AI risk and data rules
- Practical use of AI in your own work
- A costed AI roadmap for your unit
For your organization
- AI spending tied to clear returns
- Better protected data and stronger policies
- Faster adoption with less resistance
- A first set of priority use cases
Fellow rating of each lab and workshop
Gain measured on applied AI assessments
Roadmap steps started within 3 months
Cost or service indicators tracked
Savings or gains set against program cost
Targets set for the first cohorts. The academy publishes measured results once cohorts complete.
Enquire
Request the brochure or speak with an advisor about fit, timing and seats.
Apply
Share your profile and current role, with a nomination letter where relevant.
Interview
Meet the admissions panel for a short conversation about your readiness.
Confirm
Receive your offer and confirm your seat once the enrollment terms are signed.
Do I need a technical background?
No. The fellowship is written for executives. The lab starts from basic tasks and builds from there.
What do participants receive at the end?
Participants who complete every part of the program receive a NALI certificate of completion.
Can an organization nominate several people?
Yes. Organizations can reserve several seats in an open cohort or request a private cohort for their own team.
How are the fees shared?
Fees appear in the program brochure. They depend on the format, the number of seats and any private delivery.
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