Mastering the AI Business Case for Mining
From Use Case to Investable Programme through Enterprise Architecture
From Use Case to Investable Programme through Enterprise Architecture
For participants attending the Mining & Metals Digitalization and AI Conference, this pre-conference masterclass offers a focused, high-value session on how to turn AI use cases into investable, enterprise-scale programmes.
Delivered by Morad Mziout, this 4-hour interactive masterclass provides a structured, end-to-end perspective on how Enterprise Architecture enables organizations to move beyond experimentation and make informed AI investment decisions.
Designed for leaders and practitioners involved in strategy, architecture, transformation, and AI, the session is particularly valuable for those seeking to better connect AI initiatives to enterprise priorities, operating realities, and measurable outcomes.
Participants will gain a clear understanding of how AI opportunities are identified, assessed, and translated into initiatives that can be governed, funded, and scaled across the organization.
Master Class Agenda
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 a mining and metals 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.
Trusted Advisor, Expert & Mentor in Enterprise & Business Architecture & Business Analysis | Quadrilingual Trainer & Keynote Speaker
About the Master-class Instructor
- With 19 years of experience in Enterprise & Business Architecture and Business Analysis, he continues to deliver consulting and advisory services of high value and impact to organizations across various industries in their transformation initiatives, supporting them translate their strategic vision to tangible outcomes. This involves architecting the future-state business architecture and operating models, strengthening analytical and architectural practices, and supporting transformation from early planning through to operational delivery across business and technology environments.
- He also continues to mentor professionals in various roles and at different experience levels, serve as an instructor delivering seminars within academic programs, and speak at international and local events through multilingual keynote sessions.
- His experience is rooted in Enterprise Business Architecture and Business Analysis. It has expanded over time to include involvement in IT governance, business continuity, change management, AI, project management, and agile delivery. He holds a broad range of globally recognized certifications (TOGAF® EA (Practitioner & Leader) | CBA® | ArchiMate® Practitioner | CBAP™ PMI-PBA® | BIAN® | CGEIT® | CBCP® | Prosci® CCP | AI ExecEd (UC Berkeley) PMP® | PMI-ACP® | LSSGB® | COBIT® | ITIL® | SAFe® POPM | PSPO® II), and he has also completed professional development programs in Artificial Intelligence through UC Berkeley Executive Education.
- As Team Co-Lead and Primary Contributor across four collaborative teams at the Business Architecture Guild, and as Vice President of Communications for the IIBA DC Chapter, he actively contributes to the development of professional standards, of professional communities, and thought leadership.
- His professional journey and contributions to the community, the practice, and the profession have been recognized by Marquis Who’s Who, Enterprise World (Visionary Business Leader to Follow 2025), and LinkedIn (Top Business Architecture Voice) - distinctions that reflect his influence and ongoing dedication to advancing the field.
Who Should Attend?
This masterclass is designed for professionals and leaders involved in shaping, funding, governing, and executing AI initiatives in mining and metals, including:
- Enterprise and Business Architecture professionals
- Digital, Data, and AI strategy leaders
- Transformation and innovation leaders
- Operational and functional decision-makers
- Executives responsible for AI investments and enterprise transformation
What Will You Learn?
Participants will gain practical perspectives on how AI initiatives can be identified, structured, executed, and sustained within mining and metals 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 align.
- Identify where AI can create value across value streams and business capabilities.
- Assess capability maturity and organizational readiness for AI-enabled transformation.
- Understand how AI supports operational decision-making and execution.
- Recognize the role of governance, adoption, and change management in AI success.
- Understand how organizations measure and sustain value from AI initiatives.
- Learn how companies move from experimentation to enterprise-scale AI programmes.
Why Register?
While many mining organizations are exploring AI, they often struggle to determine which initiatives to prioritize and how to operationalize them at scale.
This masterclass helps participants move beyond technology experimentation and focus on the strategic, architectural, and organizational decisions that enable sustainable AI value.
Participants will gain:
- A structured approach to identifying and evaluating AI initiatives
- Insight into how AI supports enterprise decision-making and execution
- A transformation perspective integrating architecture, adoption, and value realization
- Realistic mining industry scenarios
- Interactive discussions and peer knowledge exchange
- Practical insights applicable within their organizations