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

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

A strategic programme for leaders: drive innovation, improve operations, and lead change with confidence

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Platform:
Online
In-class
Revised and Updated: 08 October 2026
Date Venue Duration
16 - 20 November 2026 Sandton, Gauteng 5 Days

Course Introduction

This programme provides a strategic, non-technical foundation for leaders who must steer their organisations through AI-enabled change. It connects emerging technologies to practical business leadership, so participants can drive innovation, improve operational performance, and enable sustainable growth through responsible AI adoption. 

Across five focused days, participants 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. Participants design, prioritise, and plan AI-driven initiatives, and finish by presenting a roadmap for their own organisation. 

Course Objectives

By the end of this programme, participants will be able to: 

  • Explain core AI concepts, including generative AI and AI agents, 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 improve efficiency and customer outcomes 
  • Lead change: structure portfolios, govern risk, and align AI to strategic objectives 
  • Address ethical, legal, and regulatory considerations, including POPIA and related frameworks 
  • Develop a practical AI-driven digital transformation roadmap for their organisation 

Who should attend?

  • Business Executives and Senior Managers 
  • Digital Transformation and Innovation Leaders 
  • IT, Data, and Product Leaders 
  • Strategy and Operations Decision-Makers 
  • Entrepreneurs Integrating AI into Growth Plans 
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Training Methodology

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.

Training Outline

Day 1 — AI Foundations and the Digital Transformation Imperative
Module 1: AI at a Glance
  • Concepts, history, capabilities, and current limitations
  • Key technologies: machine learning, natural language processing, computer vision, generative AI, and AI agents
  • The role of AI in value creation: efficiency, growth, and risk reduction
Module 2: Learning from Practice
  • Case clinics: successful and failed AI implementations, and the lessons learnt
  • Why many AI initiatives stall, and what the successful ones do differently
  • Disruption scenarios and the near-term future of AI in business
  • Practical Exercise: Facilitated discussion: where could AI disrupt your industry in the next three years?

Day 2 — Strategy, Operating Models and the Business Case
Module 3: Strategy and Operating Models
  • Rethinking business models: where AI creates defensible advantage
  • Operational excellence: cost, quality, speed, and resilience with AI
  • AI in supply chain, production, and logistics: optimisation patterns
Module 4: Data, Decisions and the Business Case
  • Data to decisions: analytics maturity and AI-assisted decision frameworks
  • Assessing organisational readiness: data, skills, technology, and culture
  • Building the AI business case: benefits, costs, risks, and evidence
  • Practical Exercise: Workshop: design an AI-enhanced operating model and value roadmap, with a first-pass business case

Day 3 — Customer Experience, Sales and Marketing
Module 5: AI-Powered Customer Experience
  • Personalisation and customer journeys powered by AI
  • Service automation without losing the human touch
  • Cross-sector case studies: retail, financial services, and healthcare
Module 6: AI in Sales and Marketing
  • Digital marketing with AI: predictive analytics, chatbots, recommenders, and generative content
  • Managing brand, accuracy, and privacy risks when using AI with customers
  • Practical Exercise: Map and prototype an AI-enhanced customer journey

Day 4 — Leading Change, Governance and Value Realisation
Module 7: Leading Digital Transformation
  • Structures, roles, and sponsorship for digital transformation
  • Change management: managing resistance and building a digital culture
  • Building AI skills across the organisation
Module 8: Pilots to Scale and Governance
  • From pilots to scale: portfolio management and benefits tracking
  • Governance essentials: model risk, data quality, and controls
  • Common adoption pitfalls, and how to avoid them
  • Practical Exercise: Facilitated dialogue: an AI pilot is succeeding technically but not being used; what do you do?

Day 5 — Ethics, Law, the Future of Work and Your Roadmap
Module 9: Responsible AI, Law and the Future of Work
  • Responsible AI: bias, fairness, transparency, and accountability
  • Legal and regulatory considerations: POPIA, GDPR and EU AI Act touchpoints, sector rules, and the status of South Africa's AI policy (the 2026 draft was withdrawn and is not law)
  • Security and privacy in AI-enabled environments
  • The future of work: workforce impacts, reskilling, and new roles
Module 10: Capstone: Your AI and Digital Transformation Roadmap
  • Bringing together strategy, business case, governance, and change plan
  • Presenting your roadmap for feedback from facilitators and peers
  • Your next 90 days
  • Practical Exercise: Present your AI-driven digital transformation roadmap

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Success Stories

Discover how our courses enhance professionals’ effectiveness in their workplaces.

Revenue Appeals Tribunal Eswatini

AI Powered Communication and Branding Mastery

The Training was almost excellent and has now contributed in shaping my career and job prospects for the better.

Ikhala TVET College

AI Essentials for Office Managers & Secretaries

The facilitator was very passionate and course outline was much relevant for my designation at work and for my personal enhancement.

ECIC

The Evolving Role of Executive Assistants and AI Conference

The Facilitator was good and very professional, he outlined the course very well. A very good Job on his part

Forestry Commission

Artificial Intelligence in Accounting and Finance

Very interesting and interactive programme which is needed in the financial industry.

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

Master the strategic principles of AI and digital transformation, learning AI fundamentals, digital strategy, business model innovation, technology adoption, data-driven decision-making, change management, and practical approaches to leading AI-enabled organisational growth.

What topics are covered in the Mini-MBA: Artificial Intelligence (AI) and Digital Transformation course?
The course covers strategic AI integration, digital business models, emerging technology trends, AI ethics and governance, data-driven decision-making, organizational change management, agile execution, and digital transformation roadmaps.
Who should attend the Mini-MBA: Artificial Intelligence (AI) and Digital Transformation course?
This executive programme is designed for senior leaders, C-suite executives, directors, department heads, entrepreneurs, and senior managers responsible for steering digital strategy, innovation, and technological adoption across their organisations.
What skills will delegates develop through the Mini-MBA: Artificial Intelligence (AI) and Digital Transformation course?
Delegates develop executive-level skills in evaluating AI technologies for business value, formulating enterprise digital strategies, leading cross-functional transformation, mitigating algorithmic risks, and aligning tech investments with high-level corporate goals.
How long does the Mini-MBA: Artificial Intelligence (AI) and Digital Transformation course take to complete?
The course is delivered as an intensive short-course executive programme, with the duration structured around scheduled masterclass blocks and specific organizational requirements.
Do delegates need a background in computer science or programming for this Mini-MBA?
No technical or programming background is required. The programme focuses on strategic management, commercial applications, executive leadership, and operational implementation of digital technologies rather than software development.
Can Prospen Africa deliver the Mini-MBA: Artificial Intelligence (AI) and Digital Transformation course in-house?
Yes. Prospen Africa can deliver this executive programme in-house, tailoring strategic frameworks, case studies, and transformation roadmaps directly to your company’s sector, operational structure, and long-term business strategy.

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