Half-day Masterclass - September 9, 2026

Mastering the AI Business Case for Energy: From Use Case to
Investable Program through Enterprise and Business Architecture

 

Artificial intelligence is reshaping how energy organizations plan, optimize assets, improve operational efficiency, and make decisions. While AI and generative AI continue to expand what is technically possible, many organizations across upstream, midstream, downstream, utilities, and renewable energy environments are now facing a more strategic and investment-focused question: which AI initiatives are worth pursuing, and how can they be scaled beyond experimentation to deliver sustainable enterprise value?

Across the energy sector, organizations are identifying numerous AI opportunities. However, converting those opportunities into initiatives that deliver measurable, lasting value requires more than just technology enablement. It requires strong alignment with enterprise strategy, operating realities, regulatory expectations, workforce readiness, and transformation roadmaps.

This masterclass explores how Enterprise Architecture and Business Architecture provide the structural and decision-making foundation that connects AI initiatives to key enterprise anchors, including strategy, value streams, business capabilities, organizational context, information, governance, and performance expectations. It also examines how AI evolves from generating insights to supporting decision-making and execution within enterprise operations.

Through realistic industry scenarios, interactive exercises, and facilitated discussion, participants will explore how AI opportunities evolve from early concepts into initiatives that are credible, scalable, and operationally sustainable, how organizations enable their adoption across people and operating models, and how value is effectively realized, monitored, and sustained over time.

 

Facilitator:

Morad Mziout

Trusted Advisor, Expert & Mentor in Enterprise 

& Business Architecture and Business Analysis | 

Quadrilingual Trainer & Keynote Speaker

Morad Mziout

Who Should Attend?

This masterclass is designed for professionals and leaders who shape, govern, fund, execute, and sustain AI and transformation initiatives across the energy sector. It is particularly relevant for:

  • Enterprise and Business Architecture professionals.
  • Digital, Data, and AI strategy leaders.
  • Transformation, innovation, and portfolio governance leaders.
  • Operational and functional leaders involved in decision-making and execution within their domains.
  • Executives responsible for AI investment, performance, and enterprise transformation decision-making.

What Will You Learn?

Participants will gain practical and enterprise-focused perspectives on how AI initiatives can be identified, structured, executed, adopted, and sustained within energy organizations.

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

  • Understand why many AI initiatives struggle to scale and how strategy, architecture, and execution must be aligned. (Session 1).
  • Identify where AI can create meaningful value across value streams and business capabilities. (Session 2).
  • Assess capability maturity and organizational readiness to support AI-enabled transformation. (Session 3)
  • Understand how AI supports operational decision-making and execution within enterprise environments. (Session 4)
  • Understand how governance, adoption, and change enablement influence long-term AI success. (Session 5)
  • Understand how organizations measure, monitor, and sustain value from AI initiatives over time. (Session 6).
  • Recognize how organizations transition from experimentation to enterprise-scale AI programmes.
  • Gain practical insights through realistic energy-sector scenarios and peer collaboration.

Why Register for This Masterclass?

Energy organizations are actively exploring AI opportunities, yet many struggle to determine which initiatives to prioritize, how to operationalize them, and how to sustain their value over time across complex enterprise environments. This masterclass helps participants move beyond technology-driven exploration and focus on the strategic, architectural, operational, and organizational decisions that ultimately determine successful AI execution and long-term value realization.

Participants will benefit from:

  • A structured and enterprise-aligned approach to identifying, evaluating, and structuring AI initiatives.
  • A clear understanding of how AI supports decision-making and execution within enterprise operations.
  • A transformation-focused perspective that integrates architecture, adoption, and value realization.
  • Realistic industry scenarios reflecting common challenges across energy organizations.
  • Interactive discussions and peer knowledge exchange.
  • Actionable insights that can be applied immediately within their organization.

September 9, 2026 | Cost: $495