The Digital Operations Readiness and Assurance Training Course provides a structured approach to achieving Digital Readiness across modern operational environments. The course focuses on preparing digital systems, operational processes, people, data, and technologies to support safe, reliable, efficient, and sustainable operations. Participants will explore digital readiness frameworks, assurance processes, technology integration, operational risk, data governance, and performance monitoring within engineering maintenance and operation environments.

Delivered by The British Academy For Training and Development as part of its Operations Readiness and Assurance Training courses, this programme examines how emerging technologies can strengthen operational performance and assurance. Key areas include digital twins, AI, asset management, and smart operations, with practical attention to system integration, digital workflows, predictive maintenance, readiness assessments, cybersecurity considerations, and continuous improvement.

• Understand the principles and importance of Digital Readiness in modern operations.
• Develop structured digital operations readiness and assurance frameworks.
• Assess digital systems, technologies, data, processes, and workforce capabilities before operational deployment.
• Integrate digital technologies into engineering maintenance and operation strategies.
• Apply digital twins to improve operational visibility, simulation, and decision-making.
• Explore the role of AI in predictive maintenance, operational analytics, and assurance.
• Strengthen digital asset management and lifecycle performance.
• Develop effective smart operations strategies and digital workflows.
• Identify and manage digital operational risks and readiness gaps.
• Establish assurance mechanisms for reliable and secure digital operations.
• 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 Professionals
• Asset Management Professionals
• Reliability and Maintenance Engineers
• Digital Transformation Managers
• Engineering and Operations Personnel
• Project and Commissioning Managers
• Technical Assurance Professionals
• Process and Performance Improvement Specialists
• IT and OT Professionals supporting industrial operations
• Professionals responsible for digital transformation and operational readiness

Module 1: Fundamentals of Digital Operations Readiness

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

Module 2: Digital Readiness Frameworks and Assurance

• Developing a digital readiness framework
• Digital readiness assessment methodologies
• Assurance planning and governance
• Readiness reviews and verification
• Gap identification and corrective actions
• Digital assurance documentation and reporting

Module 3: Digital Systems and Operational Integration

• Digital systems required for operational readiness
• Integration of IT and OT environments
• Data flows and system interoperability
• Digital workflows and operational procedures
• System testing and validation
• Technology integration challenges

Module 4: Digital Twins for Operational Readiness

• Digital twin concepts and applications
• Digital twins for engineering and operations
• Simulation and scenario modelling
• Predictive insights and operational optimisation
• Digital twin integration with asset information
• Using digital twins to support readiness assurance

Module 5: AI and Advanced Analytics in Operations

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

Module 6: Digital Asset Management and Reliability

• Digital asset management principles
• Asset information requirements
• Lifecycle data management
• Condition monitoring and predictive maintenance
• Reliability-centred digital strategies
• Integrating asset management platforms with operational systems

Module 7: Smart Operations and Connected Workplaces

• Principles of smart operations
• Connected assets and industrial IoT
• Real-time monitoring and control
• Automation and intelligent workflows
• Smart maintenance strategies
• Operational performance dashboards

Module 8: Digital Risk, Cybersecurity and Assurance

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

Module 9: Workforce Digital Readiness

• Assessing workforce digital competencies
• Digital skills requirements for operations
• Training and competency assurance
• Human factors in digital operations
• Change management and technology adoption
• Building a digitally capable operations workforce

Module 10: Digital Readiness Assessment and Continuous Improvement

• Developing digital readiness checklists
• Readiness KPIs and performance indicators
• Digital audits and assurance reviews
• Monitoring operational technology performance
• Closing readiness gaps
• Continuous improvement and digital maturity development