Course Schedules

Classroom 11 Sessions
Online / Live
Live

Introduction

The AI for Operational Excellence & Process Optimisation Training Course provides organisations with a practical approach to improving operational performance through the strategic use of artificial intelligence. As operational environments become increasingly complex and data-driven, organisations must move beyond traditional optimisation techniques and adopt intelligent, predictive approaches to managing processes and performance.

This AI for Operational Excellence Training Course demonstrates how artificial intelligence enhances operational improvement by providing deeper process visibility, faster insights, and continuous performance optimisation. Participants will explore how AI complements established frameworks such as Lean, Six Sigma, and process re-engineering, strengthening these methods while maintaining their core principles.

Through practical examples and real operational scenarios, the course examines how AI can be applied to challenges such as bottleneck identification, workflow optimisation, demand forecasting, quality improvement, and cost control. By the end of the course, participants will understand how AI can support operational leaders in achieving sustainable efficiency gains, improved decision-making, and long-term organisational resilience.

What are the Goals?

This AI for Operational Excellence & Process Optimisation Training Course equips participants with the knowledge required to apply artificial intelligence to operational improvement initiatives. It focuses on using AI responsibly to enhance efficiency, quality, and performance while maintaining strong governance and strategic alignment.

Participants will:

  • Understand how AI supports operational excellence and process optimisation

  • Identify operational processes suitable for AI-driven improvement

  • Apply AI techniques to analyse workflows, performance data, and inefficiencies

  • Use AI insights to enhance quality management, cost control, and service delivery

  • Integrate AI capabilities with Lean, Six Sigma, and process improvement frameworks

  • Lead AI-enabled operational improvement initiatives responsibly and sustainably

Who is this Training Course for?

This AI for Operational Excellence & Process Optimisation Training Course is designed for professionals responsible for improving operational efficiency, performance, and service delivery across complex organisational environments. It is particularly valuable for leaders who wish to combine operational excellence expertise with data-driven decision-making capabilities.

This training course will greatly benefit:

  • Operations and production managers

  • Continuous improvement and operational excellence leaders

  • Process owners and business analysts

  • Quality, performance, and efficiency managers

  • Supply chain, logistics, and service operations professionals

  • Digital transformation and operational strategy leaders

  • Managers responsible for cost management, productivity, and process optimisation

How will this Training Course be Presented?

This AI for Process Optimisation Training Course uses a structured and interactive learning approach that combines conceptual understanding with practical application. Instructor-led sessions translate AI concepts into operational language, ensuring that non-technical professionals can understand and apply them effectively within their organisations.

Participants will review real-world operational scenarios and case studies that demonstrate how AI technologies improve workflows, quality, and operational performance across industries. Interactive discussions encourage participants to explore where AI can add value within their own operational environments.

Practical exercises focus on interpreting AI-generated insights, identifying opportunities for operational improvement, and linking data analysis with operational decision-making. Collaborative learning activities also allow participants to share experiences and best practices in operational excellence. Throughout the course, emphasis is placed on responsible implementation, governance considerations, and sustainable AI adoption to ensure long-term operational improvements.

Course Content

Day 1

Foundations of AI and Operational Excellence

  • Overview of Operational Excellence and Process Optimisation
  • Key challenges in traditional process improvement approaches
  • Introduction to Artificial Intelligence and its business applications
  • AI vs Automation vs Digital Transformation
  • AI technologies relevant to operations (ML, NLP, RPA, Predictive Analytics)
  • Linking AI with Lean, Six Sigma, and Business Process Management (BPM)
  • Case examples of AI-driven operational excellence
Day 2

AI-Driven Process Analysis and Optimisation

  • Identifying and prioritising processes for AI implementation
  • Process mapping and value stream analysis in an AI context
  • Introduction to process mining and intelligent process discovery
  • Using AI to detect bottlenecks, inefficiencies, and root causes
  • AI-based performance measurement and KPI optimisation
  • Data requirements and quality considerations for AI-enabled processes
  • Practical examples of AI-supported process optimisation
Day 3

Intelligent Automation and Workflow Optimisation

  • From rule-based automation to intelligent automation
  • Robotic Process Automation (RPA) enhanced with AI
  • Automating complex and judgment-based processes using AI
  • AI for demand forecasting, scheduling, and capacity planning
  • Optimising workflows across departments and functions
  • Reducing operational costs and cycle times using AI
  • Risks, limitations, and governance of intelligent automation
Day 4

Predictive, Prescriptive, and Real-Time Operations

  • Predictive analytics for operational decision-making
  • AI-enabled forecasting and scenario analysis
  • Prescriptive analytics for process and resource optimisation
  • Real-time monitoring and AI-driven operational dashboards
  • AI for quality improvement, defect reduction, and reliability
  • Managing change and workforce adoption of AI-enabled operations
  • Ethical considerations and responsible AI in operations
Day 5

Implementing AI for Sustainable Operational Excellence

  • Designing an AI-enabled operational excellence framework
  • Building the business case for AI in operations
  • AI implementation roadmap: strategy, pilots, and scaling
  • Selecting AI tools and vendors for operational optimisation
  • Measuring ROI and long-term performance impact
  • Governance, risk management, and AI compliance considerations
  • Developing an actionable AI adoption plan for participants’ organizations

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
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