Artificial intelligence is reshaping how energy organizations, particularly in oil and gas, plan, optimize assets, improve operational efficiency, and make decisions. As AI capabilities continue to expand, organizations across upstream, midstream, and downstream operations now face a more strategic, investment-focused question: which AI initiatives truly deserve investment, and how can they be scaled beyond experimentation to deliver sustainable enterprise value?

Across oil and gas organizations, numerous AI opportunities are being identified. However, converting these opportunities into initiatives that deliver measurable and lasting value requires more than technology enablement. It requires strong alignment with strategy, operating realities, regulatory expectations, workforce readiness, and transformation roadmaps.

This masterclass explores how Enterprise Architecture, supported by Business Architecture, provides the structural and decision-making foundation to connect AI initiatives to strategy, value streams, business capabilities, governance, and measurable performance outcomes, and how AI evolves from generating insights to enabling decision-making and execution across enterprise operations.

Through realistic oil and gas scenarios, interactive exercises, and 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.

08:00 - 08:30 Registration and Morning Coffee

08:30 - 09:30 Presentation: Architecture and AI in Enterprise Transformation

This opening presentation establishes the foundation for understanding how Enterprise Architecture, Business Architecture, and AI interact in enterprise transformation and investment decision-making. Topics include:

• The role of Enterprise Architecture in enabling AI within complex, data-driven environments.
• Why organizations struggle to scale AI initiatives and what drives these challenges.
• Why successful AI requires strong alignment across strategy, capabilities, operating models, and governance.
• How strategy, architecture, and execution must work together to deliver AI-driven transformation.
• How Business Architecture clarifies value creation and positions AI as an enabling capability within enterprise transformation.

09:30- 10:30 Workshop: Structuring AI Initiatives for Enterprise Value

This workshop explores an oil and gas scenario where leadership evaluates AI initiatives. The workshop shows how Enterprise and Business Architecture shift AI from technology-driven to value-driven decision-making. Participants will:

• Map how enterprise value is delivered across value streams and identify supporting capabilities
• Cross-map value streams and capabilities to understand how value is created and constrained
• Identify performance constraints (pain points) and value opportunities (gain points) across capabilities
• Assess capability maturity and root causes of performance gaps, and identify relevant AI opportunities
• Define and sequence transformation initiatives, including where AI can meaningfully augment or transform capabilities

10:30 - 11:00 Networking Break

11:00 - 11:45 Presentation: From AI Insights to Enterprise Adoption

This session looks at how AI moves from insights and execution into real adoption within enterprise operations, focusing on the organizational and practical realities that determine whether initiatives take hold. Topics include:

• Why many AI initiatives struggle at the transition from insights to real operational use.
• How AI affects roles, responsibilities, and operating models in practice.
• What organizations need in place in terms of leadership alignment and readiness.
• How change is introduced and managed across teams and business units.
• How adoption is tracked to ensure initiatives are used and sustained over time.

11:45 - 12:30 Presentation: Measuring and Sustaining AI Value

This session focuses on how organizations ensure that AI initiatives deliver value over time, and how that value is monitored, adjusted, and sustained in real operating environments. Topics include:

• Why many AI initiatives fail to deliver lasting business value after deployment.
• How value is defined and measured across capabilities and value streams.
• How organizations track performance and identify gaps between expected and actual outcomes.
• How feedback loops are used to adjust and improve AI-enabled capabilities.
• How governance and performance management support long-term value and alignment.

12:30 - 13:00 Closing Session: Key Takeaways and Discussion

Participants reflect on insights from the workshop and discuss how to apply them in their organizations through a facilitated discussion and Q&A.

Who Should Attend?

This masterclass is designed for professionals and leaders involved in shaping, funding, governing, and executing AI initiatives in oil and gas organizations, including:

• 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.