dmAIc – Lean Six Sigma meets AI – 2 days Training
dmAIc – Lean Six Sigma meets AI – 2 days Training
Smarter process improvement with AI-powered DMAIC
The dmAIc training course is a unique specialization format that brings together the structured methodology of Lean Six Sigma’s DMAIC cycle (Define, Measure, Analyze, Improve, Control) with the practical capabilities of modern AI technologies such as machine learning, natural language processing, robotic process automation, and large language models.
In today’s fast-paced business environments, traditional continuous improvement methods alone are no longer enough. Organizations face ever-growing volumes of data, increasing process complexity, and rising expectations around responsiveness and innovation. That’s where dmAIc comes in: It builds on the solid foundation of Lean Six Sigma but expands it with AI-driven tools that make decision-making faster, root cause analysis smarter, simulations more realistic, and process control more dynamic.
Throughout the course, participants will learn how to apply AI purposefully in every stage of the DMAIC cycle – from using NLP to extract insights from stakeholder feedback, to anomaly detection in process data, to predictive monitoring that ensures long-term stability. Rather than introducing AI in a vacuum, dmAIc helps participants link technology directly to business value by embedding it in the well-established framework of structured process improvement.
This training is ideal for professionals who already understand the core principles of Lean Six Sigma (Yellow Belt level) and are now ready to go one step further – by bringing Artificial Intelligence into the equation. It is also highly relevant for those who have completed the AIcademy Yellow Belt and want to see how to translate AI awareness into tangible process impact.
Participants will leave the course with a set of hands-on tools, real-world examples, and a concrete understanding of how to lead AI-powered improvement initiatives in their organization. The dmAIc course also includes an optional certification aligned with Green Belt-level requirements and is fully creditable toward the AIcademy’s advanced training paths.
In short: dmAIc empowers you to combine the best of both worlds – proven structure and intelligent automation – to achieve faster, smarter, and more sustainable process improvements.
What you'll take away
How to apply AI tools in each DMAIC phase (Define, Measure, Analyze, Improve, Control)
Use of Machine Learning, NLP, Process Mining, Digital Twins, and RPA
Hands-on exercises with real or simulated process data
Strategies for sustainable, AI-supported process improvement
How to evaluate the feasibility and impact of AI use cases in process optimization – from quick wins to strategic transformation initiatives
Preparation for Green Belt certification level
Topics of Course
dmAIc bridges the proven Lean Six Sigma DMAIC model with the power of Artificial Intelligence. Learn how to boost every phase of your improvement cycle with modern AI tools – from problem definition with NLP to predictive monitoring with machine learning. Through a hands-on project and optional AI Clinic, you’ll move from concept to actionable plan with confidence.
Module 1: Introduction – DMAIC and AI in Context
- Recap of the Lean Six Sigma DMAIC model and its structured approach to process improvement
- Introduction to key AI technologies: Machine Learning (ML), Natural Language Processing (NLP), Robotic Process Automation (RPA), and Large Language Models (LLMs)
- Exploration of why AI is a game-changer for continuous improvement, and how it complements existing methods
- Overview of typical data sources, technical prerequisites, and organizational considerations for embedding AI in process initiatives
Module 2: DEFINE – Clarifying the Problem with AI
- Use of AI-powered text mining (NLP) to identify patterns in customer feedback, surveys, or service logs
- AI-supported stakeholder analysis to extract needs and expectations from unstructured communication
- Mapping the current state using process discovery tools and automated flowchart generation
- Translating qualitative input into structured problem statements using AI-enhanced classification
Module 3: MEASURE – Making Data Tangible
- Identifying, extracting, and preparing relevant process data from ERP, CRM, or event logs
- Leveraging AI to detect anomalies, missing values, or measurement inconsistencies
- Creating real-time dashboards for continuous monitoring of process performance
- Introduction to smart data cleansing techniques using AI for improved data quality before analysis
Module 4: ANALYZE – Finding Root Causes Smarter
- Root cause analysis using AI-based pattern recognition, clustering, and correlation analysis
- Applying process mining tools with machine learning extensions to uncover hidden inefficiencies
- Building predictive models to forecast process breakdowns, quality issues, or delays
- Visualizing relationships and influencing factors using heatmaps and dimensionality reduction
Module 5: IMPROVE – Designing Smart Solutions
- Using LLMs and generative AI to support creative ideation and solution generation
- Simulating process changes with digital twins and evaluating the potential impact of improvements
- Applying A/B testing and scenario modeling to validate new process designs
- Introducing reinforcement learning and optimization algorithms for dynamic process control
Module 6: CONTROL – Sustaining the Gains
- Implementing smart monitoring systems with predictive alerts and AI-driven dashboards
- Setting up self-optimizing feedback loops for adaptive process governance
- Conducting intelligent audits and ensuring regulatory compliance with automated AI checks
- Defining and visualizing control KPIs that are continuously tracked using AI-enhanced tools
Coaching / AI Clinic (optional)
- Individual sparring to deepen your specific use case
- Clarification of open questions regarding data, solution evaluation, or roadmap
- Personal feedback from experienced trainers
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Our Trainers
What sets our trainers apart
The trainers at AIcademy are not only AI experts – they are experienced practitioners, passionate educators, and strategic partners on your journey toward successful AI adoption.
- Strong in didactics and application-oriented
All trainers bring teaching experience and solid didactic skills – and know exactly how to explain complex topics in an accessible way. - Academically qualified & practice-driven
Our trainers have academic backgrounds as well as hands-on experience from real AI projects in business, public administration, and research. - Cross-industry expertise
Content is tailored to your context – with examples from SMEs, public institutions, and large corporations. - Tool and method competence
They don’t just teach concepts – they demonstrate how tools and processes actually work: hands-on, clear, and ready to apply. - Rigorous selection process
Only those who excel professionally, methodologically, and personally are accepted as AIcademy trainers. For us, quality is no coincidence. - Learning as equals
Our trainers act as sparring partners – curious, open, and empathetic. We believe learning should be inspiring, approachable, and sometimes even fun.
1.999,00 €
Audience
Process managers, quality professionals, Six Sigma practitioners
Innovation leads and digital transformation champions
AIcademy Yellow Belt graduates
Anyone who wants to combine structure and intelligence in process improvement
