A predictive-maintenance model is only as useful as the data feeding it, and a digital twin is only as trustworthy as the systems it mirrors — which is why Digital Readiness now sits alongside process and mechanical readiness as a condition for a safe, reliable start-up. This training course walks participants through preparing digital systems, data, technology, and people so that engineering maintenance and operation environments can actually use the tools built for them.

Delivered by Arab British Fellowship Training Academy as part of its Operations Readiness and Assurance Training courses, the programme covers digital twins, AI, asset management, and smart operations, together with system integration, digital workflows, predictive maintenance, readiness assessments, cybersecurity, and continuous improvement.

• Assess digital systems, technologies, data, and workforce capability before operational deployment
• Understand what Digital Readiness means for modern operations and why it matters
• Build a digital readiness framework and assurance process, including reviews and gap closure
• Integrate digital technologies into engineering maintenance and operation strategies
• Apply digital twins to improve operational visibility, simulation, and decision-making
• Use AI in predictive maintenance, operational analytics, and assurance
• Strengthen digital asset management and lifecycle performance through smart operations and workflows
• Identify and manage digital operational risks, cybersecurity exposure, and readiness gaps
• Improve data quality, governance, integration, and accessibility
• Support continuous improvement through digital performance monitoring and analytics

Target Audience

• Operations and Maintenance Managers, Engineering Managers and Supervisors
• Operations Readiness and Digital Transformation Professionals
• Asset Management and Reliability Engineers
• Engineering and Operations Personnel
• Project and Commissioning Managers
• Technical Assurance Professionals
• Process and Performance Improvement Specialists
• IT and OT Professionals supporting industrial operations

Module 1: Why Digital Readiness Matters for Operations

• Definition and principles of Digital Readiness
• Operational readiness versus digital readiness
• Digital operations lifecycle and readiness requirements for modern facilities
• Key success factors and readiness indicators

Module 2: Assessing Maturity and Building a Readiness Framework

• Digital maturity and capability assessment
• Developing a digital readiness framework
• Assurance planning and governance
• Readiness reviews, verification, and gap identification
• Digital assurance documentation and reporting

Module 3: Integrating IT and OT Before Go-Live

• Digital systems required for operational readiness
• Integration of IT and OT environments
• Data flows and system interoperability
• Digital workflows, system testing, and validation

Module 4: Digital Twins for Operational Visibility

• Digital twin concepts and applications in engineering and operations
• Simulation and scenario modelling
• Predictive insights and operational optimisation
• Integrating digital twins with asset information and readiness assurance

Module 5: AI and Analytics in Predictive Maintenance

• Applications of AI in industrial operations
• Predictive maintenance and failure forecasting
• AI-supported decision-making and machine learning for performance monitoring
• Data requirements, governance, and assurance for AI applications

Module 6: Digital Asset Management and Reliability

• Digital asset management principles and asset information requirements
• Lifecycle data management
• Condition monitoring and predictive maintenance
• Integrating asset management platforms with operational systems

Module 7: Smart, Connected Operations

• Principles of smart operations and connected assets
• Industrial IoT, real-time monitoring, and control
• Automation, intelligent workflows, and performance dashboards

Module 8: Digital Risk, Cybersecurity, and Assurance

• Identifying digital operational risks and technology failure points
• Cybersecurity considerations for operational technology
• Data integrity, access control, and contingency planning
• Cyber and technology assurance requirements

Module 9: Building a Digitally Ready Workforce

• Assessing workforce digital competencies and skills requirements
• Training, competency assurance, and change management
• Developing digital readiness checklists and KPIs
• Digital audits, closing readiness gaps, and sustaining digital maturity