How to Diagnose and Overcome the Five Critical Dysfunctions of AI Transformation
Hussam Ahmad
Leadership & Product Excellence Coach
Turn Stalled AI Ambitions into Measurable Business Outcomes
Most AI transformation initiatives don't fail because of technology, data, or algorithms. They fail because organizations struggle to align leadership, challenge assumptions, define real business problems, establish ownership, and measure what actually matters. As a result, AI investments often become disconnected pilots, fragmented experiments, or expensive initiatives with little measurable impact.
In this workshop, you'll learn the Five Critical Dysfunctions of AI Transformation framework and how to use it to diagnose the organizational conditions that prevent AI from delivering value. Through practical diagnostics, real-world case studies, and proven intervention techniques, you'll gain a repeatable method for identifying root causes, facilitating difficult conversations, and helping clients move from AI ambition to measurable business outcomes.
Leave with a practical toolkit you can immediately apply in consulting, coaching, and transformation engagements.
What you’ll learn
Master the AI Transformation Health Check and Help Clients Uncover the Real Causes of AI Failure
Understand how each dysfunction prevents AI initiatives from creating value
Recognize symptoms, patterns, and root causes across organizations
Identify the primary dysfunction that is blocking progress
Use the Health Check diagnostic to assess organizational readiness
Generate a dysfunction profile from leadership team responses
Reveal hidden disagreements and alignment gaps among stakeholders
Lead evidence-based discussions around AI transformation challenges
Create psychological safety for leaders to address difficult issues
Build consensus on priorities, interventions, and ownership
Select appropriate interventions based on diagnostic results
Apply practical tools, rituals, and frameworks to unblock progress
Create action plans with clear owners, outcomes, and timelines
Help clients focus on business problems before AI solutions
Establish accountability for AI initiatives after pilot delivery
Define success metrics linked to organizational and business value
Package the framework into workshops, assessments, and advisory work
Use proven templates, scorecards, and facilitation techniques
Position yourself as a trusted advisor on AI transformation readiness
Workshop agenda
Welcome & Why AI Transformations Stall
Exploring why many AI initiatives fail to deliver measurable business outcomes despite significant investment. Introduce the shift from technology-centric thinking to organizational diagnostics.
The Five Critical Dysfunctions of AI Transformation
Learn the Five Dysfunctions framework and understand how leadership, strategy, problem selection, ownership, and measurement interact to determine the success or failure of AI transformation efforts.
Diagnosing Organizational Readiness for AI
Discover how to identify the symptoms, causes, and warning signs associated with each dysfunction. Learn how to distinguish surface-level problems from underlying organizational barriers.
The AI Transformation Health Check
Walk through the Health Check methodology and diagnostic scorecard. Learn how to assess leadership teams, interpret results, and identify the primary dysfunction that is constraining progress.
Turning Diagnostic Data into Executive Insight
Learn how to facilitate leadership discussions using diagnostic findings. Identify hidden disagreements, alignment gaps, and systemic issues while creating psychological safety for honest conversation
Designing Effective Interventions
Explore proven interventions for each dysfunction. Learn how to move organizations from awareness to action through practical frameworks, rituals, governance practices, and operating model changes.
From AI Activity to Business Outcomes
Learn how to help clients focus on business value rather than technology adoption. Establish meaningful measures of success, ownership models, and accountability mechanisms for AI initiatives.
Running Your Own AI Transformation Health Check
Learn how to package and deliver the framework as a consulting engagement. Review workshop flow, preparation, facilitation techniques, deliverables, pricing considerations, and follow-up options.
Case Study & Live Application
Apply the framework to a realistic AI transformation scenario. Practice diagnosing dysfunctions, selecting interventions, and presenting recommendations to executive stakeholders.
Action Planning & Next Steps
Create your personal implementation plan. Identify how you will incorporate the framework, diagnostic tools, and intervention techniques into your consulting practice immediately after the workshop.
Learn directly from Hussam
Hussam Ahmad
AI Transformation, Leadership & Product Excellence and OKR Coach
Who this workshop is for
AI Transformation Consultant: helping organizations adopt AI and deliver business value.
Leadership and Organizational Development Coach: supporting senior leadership teams.
Innovation, Strategy, or Transformation Leader
What's included
Live sessions
Learn directly from Hussam Ahmad in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
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Frequently asked questions
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Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
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USD
11am–5pm EDT