Executive programs are built for people who decide how AI is adopted rather than for those who operate it. They are compressed, decision-focused, and deliberately do not attempt to turn leaders into practitioners. All are non-degree professional-learning programs subject to human academic review.
Five programs are offered. The competency each builds is the same in kind: the ability to make and defend an AI-related institutional decision without pretending to technical expertise the leader does not have.
Executive Program in AI Leadership
For senior leaders responsible for setting direction on AI across an institution.
The program addresses what leadership on this subject actually requires: understanding enough about capability and failure modes to ask useful questions, recognizing when a proposal rests on optimistic assumptions, deciding what the organization will and will not do, and communicating that position credibly to staff who are anxious about it.
Considerable attention goes to the internal politics of adoption. Enthusiasts overstate readiness; sceptics understate opportunity; and both present their positions as technical rather than dispositional. A leader who can tell the difference makes better decisions than one who defers to whoever sounds most confident.
Executive Program in AI Transformation
For leaders managing organization-wide change in which AI is a component.
Covers readiness assessment, sequencing, capability building, workflow redesign, change management, and evaluation of whether an initiative delivered what was claimed. It treats transformation as an institutional problem where the technology is rarely the binding constraint.
The recurring pattern taught here is that organizations attempt to automate processes they have never documented, and that documenting the process delivers most of the available benefit before any tool is introduced. Programs that skip this step tend to automate existing inefficiency at higher speed. Implementation support is available separately through KBA13 Consulting and the AI Laboratory.
Executive Program in AI Strategy
For leaders responsible for deciding where AI fits in institutional strategy.
Covers opportunity assessment, prioritization, resource allocation, build-versus-buy considerations, vendor evaluation, dependency risk, and measurement. It is explicit that a defensible strategy usually involves a small number of well-chosen applications rather than broad adoption.
Vendor evaluation receives particular attention, because leaders are routinely asked to approve tools on the basis of demonstrations designed to conceal limitations. The program teaches what to ask, what to require in a pilot, and which claims cannot be verified before purchase.
Executive Program in Responsible AI Governance
For leaders accountable for how AI is used and for the consequences when it fails.
Covers governance structure, approval authority, documentation and audit requirements, disclosure obligations, risk classification, harm assessment, oversight arrangements, and the practical design of institutional policy.
The organizing principle is accountability. When an AI-assisted decision causes harm, the question asked afterwards is who approved it and on what basis. Governance exists to ensure that question has an answer before it is asked, not after. Human approval is treated as a permanent structural requirement rather than a transitional safeguard, and the program is direct that this position does not weaken as systems improve, because the issue is accountability rather than capability. Related analytical governance is taught by the School of Intelligence & Strategic Studies.
Executive Program in AI for Decision Makers
For leaders who consume AI-assisted analysis and outputs produced by others.
Covers how to read AI-assisted work critically, what verification should have occurred before it reached you, which claims require primary-source confirmation, how disclosure should be presented, and how to recognize output that is fluent but unverified.
This is the most immediately practical of the executive programs, because most senior leaders encounter AI first as a consumer of documents that AI helped produce, often without being told. The program teaches the questions that surface that fact and the standard a leader should require before relying on such material.
Format and conditions
Executive programs are compressed. Written material is concise, cases are drawn from real institutional situations, and the assessed component is a decision document rather than an examination: a position on an actual AI question facing the learner’s organization, with reasoning, constraints, and stated limits.
Marking weighs defensibility rather than ambition. A decision not to adopt, reached for sound reasons and clearly explained, scores as well as an adoption plan. Teaching that outcome as legitimate is deliberate, because the alternative produces leaders who feel obliged to approve something.
All executive programs are non-degree and confer no academic credit, SKS, ECTS, degree, or government accreditation. All require human academic review; no outcome is generated automatically.
Choosing a program
Leaders setting overall direction take AI Leadership. Those running a change programme take AI Transformation. Those making portfolio and investment decisions take AI Strategy. Those accountable for oversight and policy take Responsible AI Governance. Those who mainly read AI-assisted work take AI for Decision Makers, which is also the best single entry point for a leader with limited time.
Leaders who want operational skill rather than framing are better served by the academic programs or a certificate track under professional programs. Subjects underlying all programs are listed in the course catalog, and the tooling referenced throughout is described under AI tools.
Executive cohorts are frequently delivered privately for a single institution, which allows the decision document to address a real pending decision. Enquiries go through the proposal request process. The School’s scope and position on AI are set out on the about the School page, and pricing and recognition questions are answered on the FAQ page.