A Mini-MBA for leaders. Master AI and digital transformation to drive innovation, improve operations, and lead change with confidence.
| Date | Venue | Duration | |
|---|---|---|---|
| 14 - 18 September 2026 | Cape Town | 5 Days | |
| 16 - 20 November 2026 | Sandton | 5 Days |
This Mini-MBA provides a strategic, non-technical foundation for leaders who must steer their organisations through AI-enabled change. It bridges emerging technologies with practical business leadership—equipping you to drive innovation, improve operational performance, and enable sustainable growth through responsible AI adoption.
Across five focused days you’ll examine how AI reshapes core functions—from workflow automation and customer experience to data-driven decision-making and competitive strategy. With a strong emphasis on governance, organisational readiness, and value realisation, the programme blends expert facilitation, South African and global case studies, and hands-on exercises so you can design, prioritise, and lead AI-driven initiatives with confidence.
By the end of this Mini-MBA: Artificial Intelligence (AI) and Digital Transformation training course, participants will be able to:
Explain core AI concepts and their role in digital transformation.
Assess organisational readiness and build a compelling AI business case.
Integrate AI into business models and operating frameworks to create measurable value.
Apply data-driven decision-making to enhance efficiency and customer outcomes.
Lead change: structure portfolios, govern risk, and align AI to strategic objectives.
Address ethical, legal, and regulatory considerations (incl. POPIA and related frameworks).
Develop a practical AI-driven digital transformation roadmap for their organisation.
Business executives and senior managers
Office Managers & Administrators across functions
Digital transformation and innovation leaders
IT, data, and product leaders
Strategy and operations decision-makers
Entrepreneurs integrating AI into growth plans
Our diverse instructional approaches ensure effective learning:
– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.
Day 1 — AI Foundations & the Digital Transformation Imperative
AI at a glance: concepts, history, capabilities, and current limitations
The role of AI in value creation: efficiency, growth, and risk reduction
Key technologies: machine learning, NLP, computer vision, generative AI
Case clinics: successful (and failed) AI implementations—lessons learnt
Discussion: disruption scenarios and the near-term future of AI in business
Day 2 — Strategy, Operating Models & Performance
Rethinking business models: where AI creates defensible advantage
Operational excellence: cost, quality, speed, and resilience with AI
Data to decisions: analytics maturity and AI-assisted decision frameworks
AI in supply chain, production, and logistics: optimisation patterns
Workshop: design an AI-enhanced operating model and value roadmap
Day 3 — Customer Experience, Sales & Marketing
Personalisation and customer journeys powered by AI
Digital marketing with AI: predictive analytics, chatbots, recommenders
Service automation without losing the human touch
Cross-sector case studies: retail, financial services, healthcare
Practical exercise: map and prototype an AI-enhanced customer journey
Day 4 — Leading Change, Governance & Value Realisation
Leading digital transformation: structures, roles, and sponsorship
Change management: managing resistance and building a digital culture
From pilots to scale: portfolio management and benefits tracking
Governance essentials: model risk, data quality, and controls
Panel/dialogue: common adoption pitfalls and how to avoid them
Day 5 — Ethics, Law & The Future of Work
Responsible AI: bias, fairness, transparency, and accountability
Legal and regulatory considerations: POPIA, GDPR touchpoints, sector rules
Security and privacy in AI-enabled environments
The future of work: workforce impacts, reskilling, and new roles
Discover how our courses enhance professionals’ effectiveness in their workplaces.
The facilitator was very passionate and course outline was much relevant for my designation at work and for my personal enhancement.
The Facilitator was good and very professional, he outlined the course very well. A very good Job on his part
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