Five-day professional programmes in 14 citiesClassroom, online and in-house info@aractech.com +31 85 7444446

Course LM-001

Artificial Intelligence (AI) for Operational Excellence & Process Optimisation

This Artificial Intelligence (AI) for Operational Excellence & Process Optimisation training course equips professionals... The outline covers Foundations of AI and Operational Excellence, AI-Driven Process Analysis and...

  • 5 daysClassroom or online
  • 14Upcoming dates
  • 7Cities
  • €1,625Fees from
Download PDF

Classroom

14 sessions
16 - 20 November 2026 €3,225 + VAT Register
7 - 11 December 2026 €2,815 + VAT Register
11 - 15 January 2027 €3,460 + VAT Register
8 - 12 February 2027 €4,315 + VAT Register
8 - 12 March 2027 €2,830 + VAT Register
12 - 16 April 2027 €1,625 + VAT Register
10 - 14 May 2027 €1,978 + VAT Register
14 - 18 June 2027 €3,225 + VAT Register
12 - 16 July 2027 €2,815 + VAT Register
9 - 13 August 2027 €3,460 + VAT Register
13 - 17 September 2027 €4,315 + VAT Register
11 - 15 October 2027 €2,830 + VAT Register
8 - 12 November 2027 €4,315 + VAT Register
13 - 17 December 2027 €1,978 + VAT Register
Scroll for more

Online / Live

14 sessions
16 - 20 November 2026 €1,815 + VAT Register
7 - 11 December 2026 €1,815 + VAT Register
11 - 15 January 2027 €1,815 + VAT Register
8 - 12 February 2027 €1,815 + VAT Register
8 - 12 March 2027 €1,815 + VAT Register
12 - 16 April 2027 €1,815 + VAT Register
10 - 14 May 2027 €1,815 + VAT Register
14 - 18 June 2027 €1,815 + VAT Register
12 - 16 July 2027 €1,815 + VAT Register
9 - 13 August 2027 €1,815 + VAT Register
13 - 17 September 2027 €1,815 + VAT Register
11 - 15 October 2027 €1,815 + VAT Register
8 - 12 November 2027 €1,815 + VAT Register
13 - 17 December 2027 €1,815 + VAT Register
Scroll for more

Introduction

Course overview

This Artificial Intelligence (AI) for Operational Excellence & Process Optimisation training course equips professionals with the skills to harness artificial intelligence to drive efficiency, quality, and sustainable operational performance. In today’s data-driven business landscape, AI has become a strategic enabler, helping organizations reduce risks, accelerate improvement initiatives, and make smarter decisions. This course provides a practical, business-focused approach for leaders to integrate AI into operational frameworks without requiring deep technical expertise.

Participants will learn how AI enhances traditional optimisation methodologies, such as Lean, Six Sigma, and business process re-engineering.

Through hands-on exercises and real-world examples, delegates explore how AI can improve visibility across processes, detect inefficiencies in real time, and provide predictive insights for better decision-making.

The course also emphasizes responsible adoption, governance, and cultural readiness, ensuring that AI initiatives align with organizational priorities.

By the end of the training, participants will be able to champion AI-driven operational improvements that deliver measurable and sustainable business value.

By the end of this Artificial Intelligence (AI) for Operational Excellence & Process Optimisation training course, participants will be able to:

Understand how AI complements operational excellence frameworks and optimisation methods.

Identify processes suitable for AI-driven analysis, automation, and performance enhancement.

Apply AI tools to examine workflows, detect inefficiencies, and determine root causes.

Strengthen quality, performance, and cost-control initiatives using AI insights.

Integrate AI with Lean, Six Sigma, and continuous improvement strategies.

Lead and govern AI-enabled operational change responsibly and sustainably.

Design improvement strategies that align AI adoption with measurable business outcomes.

Build organizational readiness for AI-driven operational excellence initiatives.

This course ensures participants gain a balanced perspective on AI strategy, practical applications, and leadership responsibilities, empowering them to achieve operational improvements that are both effective and sustainable.

This training course is designed for professionals seeking to improve operational performance through intelligent technologies. It is suitable for both technical and non-technical leaders responsible for process improvement, operational efficiency, and transformation initiatives.

This Artificial Intelligence (AI) for Operational Excellence & Process Optimisation training course is particularly beneficial for:

Operations and production managers seeking efficiency and cost reduction

Leaders in operational excellence and continuous improvement

Process owners, analysts, and workflow optimisation specialists

Quality and performance management professionals

Supply chain, logistics, and service operations teams

Digital transformation and operational strategy leaders

Managers responsible for driving automation, productivity, and performance initiatives

This course empowers professionals to leverage AI strategically, making their operations more efficient, agile, and resilient.

The Artificial Intelligence (AI) for Operational Excellence & Process Optimisation training course uses an interactive, structured learning approach that blends expert instruction, practical exercises, and collaborative discussion. This ensures participants gain a clear understanding of AI concepts while learning how to apply them in real-world operational contexts.

Training methods include:

Instructor-led presentations covering AI fundamentals, operational frameworks, and optimisation models.

Case studies and group discussions showcasing successful AI applications across industries.

Practical exercises to analyse workflows, identify opportunities, and interpret AI-generated insights.

Scenario-based activities connecting AI capabilities with measurable business outcomes.

Reflection and feedback sessions to support individual and organisational AI integration plans.

By combining theory with applied learning, participants leave with actionable knowledge and confidence to implement AI-enabled operational excellence initiatives within their teams.

View full course outline

Complete course outline

Five focused days of learning and application

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Day 1

Foundations of AI and Operational Excellence

  1. Overview of Operational Excellence and Process Optimisation
  2. Key challenges in traditional process improvement approaches
  3. Introduction to Artificial Intelligence and its business applications
  4. AI vs Automation vs Digital Transformation
  5. Coffee break
  6. AI vs Automation vs Digital Transformation (continued)
  7. AI technologies relevant to operations (ML, NLP, RPA, Predictive Analytics)
  8. Linking AI with Lean, Six Sigma, and Business Process Management (BPM)
  9. Case examples of AI-driven operational excellence

Day 2

AI-Driven Process Analysis and Optimisation

  1. Identifying and prioritising processes for AI implementation
  2. Process mapping and value stream analysis in an AI context
  3. Introduction to process mining and intelligent process discovery
  4. Using AI to detect bottlenecks, inefficiencies, and root causes
  5. Coffee break
  6. Using AI to detect bottlenecks, inefficiencies, and root causes (continued)
  7. AI-based performance measurement and KPI optimisation
  8. Data requirements and quality considerations for AI-enabled processes
  9. Practical examples of AI-supported process optimisation

Day 3

Intelligent Automation and Workflow Optimisation

  1. From rule-based automation to intelligent automation
  2. Robotic Process Automation (RPA) enhanced with AI
  3. Automating complex and judgment-based processes using AI
  4. AI for demand forecasting, scheduling, and capacity planning
  5. Coffee break
  6. AI for demand forecasting, scheduling, and capacity planning (continued)
  7. Optimising workflows across departments and functions
  8. Reducing operational costs and cycle times using AI
  9. Risks, limitations, and governance of intelligent automation

Day 4

Predictive, Prescriptive, and Real-Time Operations

  1. Predictive analytics for operational decision-making
  2. AI-enabled forecasting and scenario analysis
  3. Prescriptive analytics for process and resource optimisation
  4. Real-time monitoring and AI-driven operational dashboards
  5. Coffee break
  6. Real-time monitoring and AI-driven operational dashboards (continued)
  7. AI for quality improvement, defect reduction, and reliability
  8. Managing change and workforce adoption of AI-enabled operations
  9. Ethical considerations and responsible AI in operations

Day 5

Implementing AI for Sustainable Operational Excellence

  1. Designing an AI-enabled operational excellence framework
  2. Building the business case for AI in operations
  3. AI implementation roadmap: strategy, pilots, and scaling
  4. Coffee break
  5. AI implementation roadmap: strategy, pilots, and scaling (continued)
  6. Selecting AI tools and vendors for operational optimisation
  7. Measuring ROI and long-term performance impact
  8. Governance, risk management, and AI compliance considerations
  9. Developing an actionable AI adoption plan for participants’ organizations

Course FAQs

Questions about this course

What participants and training managers usually ask before booking Artificial Intelligence (AI) for Operational Excellence & Process Optimisation. Can't find your answer?

WhatsApp
What does Artificial Intelligence (AI) for Operational Excellence & Process Optimisation (LM-001) cover?

This course covers Leadership and Management through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The next scheduled session starts on 16 - 20 November 2026. See the course schedules section for the available dates and delivery formats.

Who should attend this course?

This programme is designed for professionals responsible for strategy, operations, transformation, or delivery leadership.

Is bilingual course delivery available?

Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

Check the course schedules section for currently published classroom and Online / Live sessions.

Where are classroom sessions delivered?

Current classroom venues include Vienna, Barcelona, Rome, Geneva, Amsterdam, Cape Town, Istanbul.

How long is the training programme?

The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).