Industrial ai
Executive Program
Get actionable insights to transform your business
Industrial AI | Executive PROGRAM
Location
Blended:
Nairobi + Online
Starting date
10 April 2026
Duration
3 Months
Program fee
US$ 1295 (Early bird)
US$ 1495
About the program
Many executives are now experiencing the capabilities of Artificial Intelligence directly in their daily work. Tasks that once required significant time and effort — analysing information, drafting reports, exploring ideas — can suddenly be supported by intelligent systems.
Yet inside many organisations, the way operations actually run has changed far less. Planning processes, operational decisions, and coordination across teams often still rely on manual judgement and fragmented systems.
The real promise of Artificial Intelligence lies beyond individual productivity tools. It lies in designing systems that support better decisions, more effective operations, and intelligent automation. In areas such as operations, supply chains, pricing, and customer management, algorithms can help predict outcomes, optimise trade-offs, automate routine decisions, and support choices that would otherwise be difficult for humans to evaluate consistently.
The Industrial AI program focuses on this shift. Rather than approaching AI as a technical topic, it explores how predictive models, optimisation techniques, and machine intelligence can be integrated into the way organisations actually operate. Over the course of three months, participants learn how to identify meaningful opportunities for Industrial AI in their own organisation and develop a concrete roadmap or use case that can move from idea to implementation.
What you will learn
1
Where AI Changes How Organisations Operate
Artificial Intelligence is often discussed as a general capability, but its real impact appears in specific operational contexts.
Discover where AI can meaningfully improve how organisations run, from operational planning and resource allocation to supply chains, pricing, and customer management. Learn how predictive models, optimisation techniques, and intelligent automation can increase productivity, improve coordination, and strengthen operational performance.
Individual reflection – identify potential Industrial AI opportunities within your organisation.
2
Understanding Decisions, Processes, and Trade-offs
For AI to create value, decisions and processes must be structured in ways that intelligent systems can support.
Learn how to analyse decision processes, identify where prediction or optimisation can help, and understand which parts of a workflow can realistically be automated or augmented by algorithms.
Individual assignment – analyse a key decision process within your organisation.
3
Designing Intelligent Operational Systems
Many organisations experiment with AI models, but far fewer succeed in embedding them into everyday operations.
Explore how predictive models, optimisation engines, and automated decision systems become integrated into real workflows and organisational processes. Understand how AI moves from experimentation to systems that consistently improve performance.
Individual assignment – develop a practical Industrial AI use case.
4
Leading Industrial AI in Your Organisation
Implementing AI in operational systems requires more than technology. It requires leaders who can connect business priorities, operational realities, and technical capabilities.
Learn how to identify high-impact opportunities, work effectively with technical teams, and guide Industrial AI initiatives from concept to implementation.
Final deliverable – present a roadmap or pilot proposal for Industrial AI in your organisation.
EXECUTIVE PROGRAM
INDUSTRIAL AI
Get actionable insights to transform your business
Duration
3 Months
Program fee
US$ 1295
Early bird ends 20 March
Starting date
10 April 2026
What you can expect…
Watch the short video for a brief introduction to the program and what you can expect over the course of the 12-week journey.
It always seems impossible until it’s done.
Program schedule
Your learning journey unfolds over 12 weeks and combines structured learning with a practical Industrial AI project. Each phase introduces new concepts, frameworks, and tools that participants apply directly to a real challenge within their organisation.
The program begins with a kickoff workshop, followed by a series of modules that explore how Artificial Intelligence moves from individual tools to operational systems that improve decisions, productivity, and process performance.
Throughout the program, participants progressively develop a concrete Industrial AI use case within their organisation, supported by structured frameworks, peer exchange, and expert feedback.
All live sessions are recorded and will be available for replay on the learning platform.
LEARNING BLOCK 1
Industrial AI: From Tools to Operational Systems
The program begins with an introduction to Industrial AI and how it differs from the AI tools many professionals are now using in their daily work.
Participants explore how AI becomes embedded in operational systems — supporting prediction, optimisation, and automation across key organisational processes.
Topics include:
The difference between AI tools, analytics, and Industrial AI
Where AI creates operational impact
Why many AI initiatives fail to move beyond pilots
Identifying early opportunities in your organisation
LEARNING BLOCK 2
Framing Business Problems for Industrial AI
Successful AI initiatives begin with the right problem.
Participants learn how to identify operational challenges where improved prediction, optimisation, or automation can create meaningful performance improvements.
Topics include:
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Structuring business problems for AI
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Mapping decisions, data, and operational constraints
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Identifying high-impact use cases
LEARNING BLOCK 3
Understanding Decisions, Processes, and Trade-offs
AI creates value when it supports real decisions within operational processes.
Participants analyse how decisions are currently made inside their organisation and where algorithms could improve speed, consistency, or quality.
Topics include:
Mapping decision processes
Identifying operational bottlenecks
Understanding trade-offs in complex decisions
LEARNING BLOCK 4
Prediction, Optimisation, and Automation
This module introduces the three core capabilities behind Industrial AI.
Participants explore how predictive models anticipate outcomes, optimisation techniques evaluate complex trade-offs, and automation enables organisations to execute decisions at scale.
Topics include:
Predictive decision support
Optimisation in operational systems
Intelligent automation in organisational processes
LEARNING BLOCK 5
Embedding AI in Operational Systems
Many organisations experiment with AI models but struggle to integrate them into everyday operations.
Participants explore how AI capabilities become embedded in workflows, systems, and decision processes so they consistently improve performance.
Topics include:
Designing AI-enabled workflows
Moving from pilot projects to operational systems
Aligning AI initiatives with organisational processes
LEARNING BLOCK 6
Leading Industrial AI in Your Organisation
The final phase focuses on translating insights into implementation.
Participants refine their Industrial AI use case and develop a roadmap for implementation within their organisation.
Topics include:
Building the business case for Industrial AI
Aligning teams and capabilities
From prototype to operational deployment
Industrial AI project
Alongside the weekly learning modules, participants work on a real Industrial AI challenge within their own organisation. Rather than analysing hypothetical cases, the program is designed around identifying a concrete opportunity where Artificial Intelligence could improve decisions, operations, or productivity. Participants progressively refine this opportunity over the course of the program, applying the frameworks and concepts introduced in each module.
The project typically focuses on a specific operational challenge — for example improving forecasting and planning, optimising resource allocation, automating routine decision processes, or designing a decision-support system for complex operational choices. By the end of the program, each participant develops a clear Industrial AI use case together with an implementation roadmap or pilot proposal that can be taken forward within their organisation.
Meet your program directors
Bitange Ndemo
PROFESSOR …
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Liesbeth Bakker
MBA, MSc
Liesbeth Bakker was trained in Operations Research and Artificial Intelligence in the 1990s, long before AI became a mainstream topic in business. Since then, she has spent more than two decades working at the intersection of analytics, technology, and business decision-making.
“If your operations don’t work, AI will only make the chaos more visible.”
Her career spans senior roles in international corporations, including Philips and Orange Business Services, where she worked on pricing strategy, digital transformation, and large-scale data-driven decision systems. Over time, her interest shifted from the technology itself to the deeper challenge of how organizations actually integrate analytics and algorithms into the way they operate.
In the Industrial AI program, Liesbeth brings a practical perspective grounded in both technology and operations. Rather than focusing on AI as a trend, she guides participants through how analytics, optimization, and machine intelligence can be integrated into real business systems — from operations and supply chains to pricing and strategic decision-making.
