Artificial Intelligence (AI) for Operational Excellence & Process Optimisation
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Course details

Artificial Intelligence (AI) for Operational Excellence & Process Optimisation

Leadership and Management 8 live dates
UPCOMING SEMINAR €2,250.-
Venue Kuala lumpur - Malaysia
Date 11 - 15 May 2026
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Seminar content

What you will learn

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.

Benefits

Why attend this seminar

  • Build current, practical knowledge in leadership and management.
  • Translate the course ideas into actions you can use immediately at work.
  • Review real schedule options across 10 venues and live dates.
  • Connect course detail, venue, and category routes in one workflow.

Methodology

How the course is delivered

  • Structured seminar input and guided discussion.
  • Applied examples using current business situations.
  • Focused explanations based on the stored overview and outline.
  • Clear next steps for implementation after the course.

Target audience

Who this is for

  • Professionals responsible for leadership and management.
  • Managers, specialists, and team leads who need applied skills.
  • Participants looking for a focused route into Artificial Intelligence (AI) for Operational Excellence & Process Optimisation.

Seminar details

Detailed outline

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

Dates and locations

Available seminar dates

8 dates
Date City Duration Price
11 - 15 May 2026 5 Days €2,250.- Book now
8 - 12 June 2026 5 Days €4,250.- Book now
6 - 10 July 2026 5 Days €3,450.- Book now
10 - 14 August 2026 5 Days €4,250.- Book now
14 - 18 September 2026 5 Days €4,200.- Book now
5 - 9 October 2026 5 Days €2,850.- Book now
16 - 20 November 2026 5 Days €4,250.- Book now
7 - 11 December 2026 5 Days €3,850.- Book now

Course certificate

Certificate awarded on completion

Every participant who completes this seminar receives a professional course certificate from INFORAMTECH.

  • Participants receive an INFORAMTECH certificate for completing Artificial Intelligence (AI) for Operational Excellence & Process Optimisation.
  • The certificate recognises attendance and successful participation in the seminar.
  • It can support professional development records within leadership and management and related functions.
Verify a certificate

Information about

Frequently asked questions

When is my seat confirmed?

Your seat is confirmed once full payment has been received.

Do you offer group discounts?

Yes, we offer the following discounts for group bookings:

  • 2 participants: 20% discount
  • 3 participants: 35% discount
  • 5 or more participants: 50% discount
Can discounts be combined with other offers?

No, discounts cannot be combined unless explicitly stated.

What payment methods do you accept?

We accept bank transfers, credit/debit cards, and selected online payment methods.

When do I need to pay?

Full payment must be completed before the course start date to secure your participation.

Is VAT included in the course fee?

VAT treatment depends on your location and status:

  • EU Companies (with valid VAT number): VAT may be reverse charged (0%)
  • EU Individuals (without VAT number): VAT is applicable based on local regulations
  • Non-EU Participants: VAT is generally not applicable (0%)
Can I get a VAT invoice?

Yes, all participants receive an official invoice. EU companies must provide a valid VAT number.

Can I cancel my registration?

Yes, cancellations must be submitted in writing.

What is your refund policy?
  • More than 14 days before the course: Full refund
  • 7-14 days before the course: 50% refund
  • Less than 7 days before the course: No refund
Can I transfer my seat to another person?

Yes, substitutions are allowed at no extra cost if requested before the course start date.

What happens if the course is postponed or canceled?

We reserve the right to reschedule or cancel a course due to unforeseen circumstances. In such cases, you may:

  • Transfer to another date
  • Receive full refund
Will I receive a certificate?

Yes, all participants will receive a certificate of completion after attending the course.

Is attendance mandatory?

Yes, full attendance is required to receive certification.

Are your courses online or in-person?

We offer both in-person and virtual (live online) training options.

Will course materials be provided?

Yes, all participants receive training materials in digital format.

Are travel and accommodation included?

No, participants are responsible for their own travel and accommodation unless otherwise stated.

Can you deliver customized or in-house training?

Yes, we offer tailored training programs based on your organization's needs.

How can I contact you for support?

You can reach us via email info@inforamtech.uk or through our contact form. Our team will respond promptly.

Testimonials

Course participant

The structure of Artificial Intelligence (AI) for Operational Excellence & Process Optimisation made the topic practical and easy to apply immediately.

Course participant
Leadership and Management
Seminar attendee

The venue and date options made planning the right session straightforward.

Seminar attendee
Kuala lumpur - Malaysia
Learning manager

Clear content, relevant examples, and useful follow-up topics for the next training step.

Learning manager
Professional development

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