Artificial intelligence (AI)
Strategic uncertainty, confused Governance, data limitations, and integrating AI into legacy systems while managing risk, cost, and managing organisational change… It’s a challenge, even for the best organisations.
Overview
Organisations in both the public and private sectors are recognising that Artificial Intelligence is a transformative capability that can significantly enhance productivity, accelerate decision-making and reduce costs. By enabling rapid creation of content, code, and analysis, it improves efficiency across functions such as customer service, marketing, legal and software development, particularly when embedded within core workflows. However, these benefits depend on the implementation of robust AI governance.
Unlike traditional systems, Generative AI introduces risks such as hallucinations, bias, data leakage and intellectual property concerns. Corporate boards and CXOs often face challenges in defining governance frameworks due to unclear accountability, limited internal expertise, and the need to balance innovation with control. Evolving regulatory requirements further complicate this landscape, requiring organisations to adopt flexible, principles-based governance models that include oversight, monitoring, and clear usage policies. Alongside governance, a well-defined AI strategy is essential to avoid fragmented initiatives and ensure alignment with business objectives. Effective strategies prioritise high-value use cases, establish supporting data and technology infrastructure, and address workforce transformation through upskilling and role redesign.
Looking forward, Agentic AI represents a further evolution, enabling systems to autonomously plan and execute complex tasks across workflows. This has the potential to redefine operating models by automating end-to-end processes, improving efficiency and increasing profitability. However, it also introduces new risks related to autonomy and control, reinforcing the need for strong governance and strategic alignment. Organisations that succeed will be those that integrate AI as a core enterprise capability, supported by disciplined oversight and clear strategic direction.
Why should you take a programme?
Cut through hype and translate AI into real business value. Our AI programmes provide a clear, practical understanding of AI’s capabilities, limitations and strategic impact, enabling leaders to make informed decisions and avoid costly missteps.
Participants gain access to world-class faculty, cutting-edge research and real-world case insights, while developing frameworks to implement AI effectively across their organisations.
Crucially, executives leave equipped to lead transformation – aligning AI with strategy, culture and innovation to sustain competitive advantage in a rapidly evolving business landscape.
Generative AI asked what machines could create. Agentic AI asks what we're prepared to let them decide. That shift demands a fundamentally different kind of leadership.
Helping leaders design agentic AI systems, build hands-on capability, and establish the governance needed to move from pilot to production.
Format:
Dates:
Duration:
Fees:
Face-to-face
15-17 Jul 2026
3 days
£5,000 + VAT
Format:
Face-to-face
Dates:
15-17 Jul 2026
Duration:
3 days
Fees:
£5,000 + VAT
Master agentic AI at Cambridge. Design autonomous workflows, build practical skills, and establish governance that takes agentic AI from blueprint to reality.
Format:
Dates:
Duration:
Fees:
Face-to-face
9-10 Jul 2026
2 days
£4,000 + VAT
Format:
Face-to-face
Dates:
9-10 Jul 2026
Duration:
2 days
Fees:
£4,000 + VAT
This programme will help you gain a deep understanding of AI and how to effectively integrate it into your organisation, whilst navigating legalities and bias.
Format:
Dates:
Duration:
Fees:
Face-to-face
28 Sep-1 Oct 2026
4 days
£6,600 + VAT
Face-to-face
23-26 Nov 2026
4 days
£6,600 + VAT
Format:
Face-to-face
Dates:
28 Sep-1 Oct 2026
Duration:
4 days
Fees:
£6,600 + VAT
Format:
Face-to-face
Dates:
23-26 Nov 2026
Duration:
4 days
Fees:
£6,600 + VAT
This programme is designed to help business leaders innovate and create value using artificial automation and artificial intelligence in their organisation.
Format:
Dates:
Duration:
Fees:
Face-to-face
22-24 Jun 2026
3 days
£4,800 + VAT
Format:
Face-to-face
Dates:
22-24 Jun 2026
Duration:
3 days
Fees:
£4,800 + VAT
Delivery formats
High quality programmes, flexible formats. Our 3 delivery styles allow you to choose whichever format best suits your needs.
Face-to-face
Immerse yourself in an inspirational learning environment in the historic and beautiful city of Cambridge. In an intense classroom-based experience, you will engage with faculty and peers in person. Join ‘Cambridge Union’-style debates, hear from guest speakers and faculty, and enjoy group exercises, role-play and informal conversations both in and outside class.
Live Online
Experience the best of Cambridge face-to-face learning right inside your home or office. Using current technologies, our seamless Live Online delivery offers you richly immersive interaction with faculty and peers. You’ll experience virtual debates, hear from guest speakers and faculty, and engage in breakout groups, simulations and role-play.
Online
Study whenever and wherever you want. Our highly flexible fully online programmes run over multiple weeks. Enjoying carefully structured learning, you’ll benefit from curated videos, live Faculty webinars, Q&A chat sessions and a dedicated Programme Support Team.
Faculty and speakers
Meet the faculty teaching on our artificial intelligence (AI) programmes.
Director of the MPhil in Innovation, Strategy and Organisation Programme
Co-Director of the Entrepreneurship Centre
BA (University of Cambridge)
Stella holds an honorary title from Cambridge Judge Business School.
Academic Director of the Psychometrics Centre
PhD (University of Nottingham)
MPhil, PhD (School of Management, Fudan University)
Mark holds an honorary title from Cambridge Judge Business School.
Smaranda holds an honorary title from Cambridge Judge Business School.
Stylianos (Stelios) Kavadias
Margaret Thatcher Professor of Enterprise Studies in Innovation and GrowthCo-Director of the Entrepreneurship Centre
PhD (INSEAD)
Min holds an honorary title from Cambridge Judge Business School.
Version 1 (21 April 2026)
