An Intensive 5-day Training Course
Robotic Process Automation (RPA)
in the Energy Industry
Enhancing Efficiency, Accuracy, and Operational Intelligence
Scheduled Dates
Classroom
| 06 - 10 Apr 2026 | Dubai - UAE | $5,950 | RESERVE A SEAT |
| 21 - 25 Sep 2026 | London - UK | $5,950 | RESERVE A SEAT |
Would an alternative date be more suitable?
We offer a variety of tailored training options, customized to meet your organisation's needs. Delivered anytime, anywhere, we make it easy to bring expert training directly to your team.
Why Choose this Training Course?
The energy industry is undergoing a major digital transformation driven by the need for efficiency, accuracy, and data-driven decision-making. Robotic Process Automation (RPA) is now at the forefront of this evolution — streamlining repetitive and rule-based tasks such as meter data validation, billing, reporting, asset monitoring, and compliance documentation.
By integrating RPA into core operations, energy companies can achieve faster response times, minimize errors, reduce costs, and redeploy human talent toward higher-value strategic work. This 5-day training course explores how energy utilities can successfully implement RPA to enhance revenue protection, improve asset management, and ensure operational continuity. Through case studies, demonstrations, and interactive exercises, participants will learn how automation strengthens the foundation of modern energy enterprises.
This Robotic Process Automation (RPA) in the Energy Industry training course will highlight:
- The fundamentals and strategic importance of RPA in the energy sector
- Identifying automation opportunities across operational workflows
- Integrating RPA with existing enterprise and data systems
- Measuring ROI and performance impact of automation initiatives
- Governance, compliance, and change management in RPA deployment
What are the Goals?
By the end of this Robotic Process Automation (RPA) in the Energy Industry training course, participants will be able to:
- Understand the principles of RPA and its application within the energy value chain.
- Identify key operational areas suitable for automation across energy systems.
- Develop and implement RPA solutions for metering, billing, and reporting accuracy.
- Utilize RPA to enhance predictive maintenance, asset reliability, and safety.
- Integrate RPA with SCADA, ERP, and smart grid systems for seamless operations.
- Manage governance, compliance, and cybersecurity risks in automated environments.
- Create a digital transformation roadmap using RPA and AI-powered analytics.
Who is this Training Course for?
This PetroKnowledge Robotic Process Automation (RPA) in the Energy Industry training course is specifically designed for professionals in:
- Power generation, transmission, and distribution companies
- Oil & Gas operations and downstream processing units
- Energy trading and billing departments
- Smart metering and data management teams
- IT, digital transformation, and automation units
- Risk management, compliance, and finance divisions
How will this Training Course be Presented?
This training course combines instructor-led sessions, real-world case studies, and guided exercises focused on practical RPA applications in the energy industry. Participants will gain hands-on insight into process optimization, workflow automation, and governance techniques that support long-term digital transformation.
Organisational Impact
Organisations will gain enhanced efficiency, accuracy, and operational agility through:
- Reduced manual workload and increased process accuracy
- Improved compliance and risk management through automation
- Enhanced data-driven decision-making capabilities
- Cost savings through optimized process execution
- Greater scalability and responsiveness to market dynamics
- Strengthened innovation culture within energy operations
Personal Impact
Participants will strengthen their technical and analytical expertise through:
- Understanding how RPA drives digital transformation in the energy industry
- Enhanced ability to identify and implement automation opportunities
- Practical insights into RPA tools, governance, and integration strategies
- Improved analytical thinking and process optimization capabilities
- Confidence in leading digital innovation and automation initiatives
- Career advancement in emerging technology and energy management roles
Daily Agenda
Day One: The Role of RPA in Energy Sector Transformation
- Understanding RPA concepts, tools, and technologies
- How RPA supports digital transformation in utilities and energy companies
- Automation opportunities across generation, transmission, and customer services
- Key benefits: improved accuracy, speed, and cost efficiency
- Industry case studies: global success stories in energy automation
- Discussion: RPA and the future of smart energy ecosystems
Day Two: Identifying and Designing RPA Use Cases in Energy Operations
- Process discovery and mapping techniques for energy workflows
- Selecting high-impact RPA opportunities: metering, billing, asset records, and maintenance
- Automating data entry, validation, and reporting processes
- Enhancing customer account management and billing cycle automation
- Workshop: Designing an RPA process for energy data validation
- Measuring ROI and defining business value metrics
Day Three: Building and Integrating RPA Solutions in Energy Systems
- Overview of RPA development lifecycle and architecture
- Integrating RPA with ERP, CRM, SCADA, and smart metering systems
- Automating outage management and maintenance scheduling
- Exception handling and escalation workflows in energy operations
- Managing structured and unstructured data in RPA environments
- Hands-on session: Creating a pilot automation scenario
Day Four: RPA in Asset, Maintenance, and Regulatory Compliance
- Automating asset management and performance monitoring tasks
- Predictive maintenance using RPA and IoT data integration
- Simplifying compliance reporting and audit trail generation
- Enhancing HSE and environmental monitoring through automation
- Managing cybersecurity and data integrity in automated systems
- Real-world examples: RPA in power plants and utility companies
Day Five: Intelligent Automation, Analytics, and Future Outlook
- Moving from RPA to Intelligent Automation (IA) in the energy sector
- Combining RPA with AI, machine learning, and analytics for smarter operations
- Process mining and energy data analytics for continuous improvement
- Governance and sustainability of RPA programs
- Developing an enterprise-wide automation strategy and roadmap
- Group exercise: Designing a scalable RPA implementation plan for a utility company
Certificate
- On successful completion of this Training Course / Online Training Course, a PetroKnowledge Certificate / E-Certificate will be awarded to the delegates.
