Mini-MBA: Artificial Intelligence (AI) and Digital Transformation

The programme

Programme overview

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.

Who should attend

Who is this programme for?

• 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

Learning outcomes

What you will learn

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.

Explore the programme

Detailed programme outline

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

Learning approach

How you will learn

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.

Discuss your requirements

Dates, duration & arrangements

Contact Ratomac to confirm dates, duration, delivery format, entry requirements and any applicable assessment or certification before booking.