Next-Generation Maintenance Strategy: A Four-Day
Programme in Reliability, Asset Management & AI

A high-impact four-day masterclass led by Gary Tyne, a globally recognised expert in Asset Management and Maintenance Reliability. This is not a typical lecture-style workshop. It is an immersive, practical learning experience designed to tackle real operational challenges and elevate maintenance performance.

Participants will discover how to embed reliability into daily culture, optimise maintenance planning, strengthen problem-solving capability, and create a strategic roadmap that aligns asset performance with business goals. Every module is structured to turn concepts into meaningful, measurable improvements.

Built on CenBiz Global’s IEA learning philosophy – Interaction, Engagement, and Application – the program ensures participants leave with tools, techniques, and insights they can apply immediately to drive results on the ground.

Who Should Attend?

This masterclass is for professionals aiming to improve asset performance, maintenance reliability, and operational excellence using AI, digital tools, and data-driven strategies. Designed for those responsible for critical assets, downtime reduction, and efficiency improvement, it supports faster maintenance maturity.

With time being critical, organisations that delay adopting modern reliability and AI-enabled practices risk falling behind. This program is essential for decision-makers and implementers shaping maintenance strategies, reliability initiatives, and digital transformation roadmaps.

Key participants include:

  • Maintenance & Reliability Leaders
  • Operations & Production Heads
  • Asset Strategy & Capital Projects Managers
  • Planning, Scheduling, CMMS/EAM & Spare Parts Professionals
  • Digital Transformation / Industry 4.0 Leads
  • Continuous Improvement & Process Excellence Specialists
  • Condition Monitoring & Predictive Maintenance Specialists
  • Plant / Site Managers

Key Learning Outcomes

By the end of this masterclass, participants will be able to:

  • Apply Reliability & Asset Management Foundations to strengthen asset performance and organisational reliability.
  • Assess Maintenance Maturity & Plan Strategic Improvements for proactive, AI-enabled, reliability-centred operations.
  • Build Robust, Risk-Based Maintenance Strategies using RCM, FMECA, criticality assessment, and evidence-based methods.
  • Integrate Condition Monitoring & Predictive Technologies to prevent failures, improve uptime, and reduce reactive work.
  • Leverage Data, CMMS & AI to optimise maintenance planning, RCA, spare parts, and decision-making.
  • Strengthen Root Cause Analysis & Continuous Improvement to embed reliability culture and learn from failures.
  • Develop a Practical, Forward-Looking Maintenance Roadmap aligned to business goals, KPIs, and ISO 55000 standards.

Foundations of Modern Reliability & Asset Management

  • Welcome & the New Maintenance Landscape
  • Asset Management & Reliability Basics
  • Translating Business Goals into Maintenance Strategy
  • Maintenance Maturity & Road mapping
  • Day 1 Wrap-Up

Translating Business Goals into Maintenance Strategy

  • Risk-Based Maintenance Strategy
  • FMECA & RCM in Practice
  • Reliability Data, Weibull & Strategy Optimisation
  • Root Cause Analysis & Learning from Failure
  • Day 2 Wrap-Up

Data-Driven Maintenance, Condition Monitoring & AI/ML

  • CMMS/EAM, Data Quality & Master Data
  • Condition Monitoring & Online Sensing
  • Introduction to AI & Machine Learning for Maintenance
  • Hands-On Case: Designing an AI-Assisted Maintenance Use Case
  • Day 3 Wrap-Up

Implementation, Culture & the Next-Generation Maintenance Roadmap

  • Organisation, Roles & Skills for Next-Gen Maintenance
  • Change Management & Reliability Culture
  • Building the Next-Generation Maintenance Roadmap
  • Presentations, Feedback & Action Commitments
  • Course Close-Out