Instructor: Khaled Hassan

AI Native Change Agent

Lesson 1 – Change Agent: Guiding Your Organization to True AI Success

Focus: Orientation and foundational mindset

Key topics:

  • Course logistics, setup, and tools (Companion app, BYO-LLM)
  • Working agreements and safety: Be present, not perfect
  • Core skillset of an AI-Native Change Agent
    • AI Fluency
    • Value Maximization
    • AI-Powered Facilitation
    • Solution Lifecycle mastery
  • Course outcome: move projects beyond the “POC graveyard,” guide AI adoption, and amplify organizational impact

Lesson 2 – Advancing AI Fluency

Focus: Translate AI concepts into business language

You will learn to:

  • Translate technical AI trade-offs into business value
  • Differentiate core AI solution patterns:
    • Off-the-shelf vs. Custom build
    • Retrieval-Augmented Generation (RAG)
    • Fine-Tuning
    • AI Agents
  • Evaluate feasibility with filters and risk lenses
  • Identify technical and process red flags
  • Discussion: What gets lost in translation between business and technical teams?

Lesson 3 – Value Maximization

Focus: Unlock hidden value in existing AI assets

You will learn to:

  • Audit AI tools already in use
  • Activate underused capabilities by tracking AI evolution
  • Optimize to improve efficiency and ROI
  • Centralize best practices to scale success and prevent redundancy
  • Concepts introduced:
  • Audit → Activate → Optimize → Centralize framework
  • The 7 AI-Native Success Factors
  • When to build POCs vs. full solutions

Lesson 4 – AI-Powered Facilitation

Focus: Align people and resolve friction in AI initiatives

You will learn to:

  • Recognize stakeholder goals and fears
  • Use AI to generate powerful questions and manage conflict
  • Build psychological safety and constructive dialogue
  • Guide meetings with focus and clarity
  • WIIFM: Learn to keep initiatives moving forward when teams stall or disagree.

Lesson 5 – Sense & Discover

Focus: The first phase of the AI-Native Solution Lifecycle

You will learn to:

  • Identify and analyze key stakeholders
  • Uncover hidden risks and opportunities
  • Apply AI-assisted discovery to find the real business problem
  • Create a living AI-Native Solution Charter
  • Outcome: Get the right people focused on the right AI problem using AI as your discovery partner.

Lesson 6 – Design the Solution

Focus: Building the AI-Native Value Blueprint

Key components:

  • Value Proposal – The why: define success and outcomes
  • AI Solution – The what: approach and interaction design
  • Data Strategy – The fuel: sourcing, securing, managing data
  • Production Operations – The path to production: maintaining and scaling
  • Risk & Compliance – The guardrails: responsible AI and governance
  • Viability Assessment – The payoff: ROI and adoption readiness

Lesson 7 – Deliver the Solution

Focus: Execution and continuous learning

You will learn to:

  • Build resilient, adaptive AI roadmaps
  • Maintain momentum and remove blockers
  • Apply agile learning cycles for rapid iteration
  • Measure value and ensure readiness for deployment
  • Outcome: Confidently guide your team through AI implementation to successful launch.

Lesson 8 – Tell the Story

Focus: Amplifying success with AI-powered storytelling

You will learn to:

  • Identify impactful success stories within your organization
  • Use AI tools to adapt and scale those stories
  • Create narratives that inspire enterprise-wide adoption
  • Discussion: Why do successful AI pilots stay trapped in silos?
  • Outcome: Transform one AI win into a company-wide success story.

Lesson 9 – Expanding Your Impact

Focus: Career and organizational growth

You will learn to:

  • Create a personal roadmap as an AI-Native Change Agent
  • Align your learning and certification goals
  • Apply course tools in real projects
  • Facilitate AI-Native Value Process end-to-end
  • Phases of Impact:
  1. Foundation & Opportunity Identification – Audit readiness, find AI opportunities
  2. Propose & Prepare – Build business case and solution charter
  3. Deliver & Scale – Lead implementation and storytelling to amplify success

AI Native Foundations

Introduction to AI-Native Foundations

    • Overview of course objectives and outcomes
    • Introduction to the EDGE™ Imperative

Part 1: Grasp the EDGE™ Imperative

    • Explore Exponential, Disruptive, Generative, and Emergent forces transforming work
    • Discuss the impact of these forces on various industries

Part 2: Understanding AI and Related Technologies

    • Simplified explanations of AI, ML, GenAI, LLMs, RAG, and intelligent agents
    • Master safe and effective AI prompting with proven techniques
    • Real-world examples and applications

Part 3: Applying AI-Native Success Factors

    • Introduction to the 7 AI-Native Success Factors
    • Case studies and practical applications to drive value from day one

Part 4: Workflow Improvement and Transformational Thinking

    • Redesign one of your personal workflows using AI
    • Business Brief: Identifying high-impact opportunities
    • Strategies for transformational thinking in AI adoption

Part 5: Roadmap to AI-Native

    • Develop a strategic approach to becoming AI-Native
    • Tools and strategies for implementation

Part 6: The AI-Native Pitch

    • Design a personal 30-60-90 day AI plan
    • Pitch AI use cases with confidence
    • Workshop: Crafting and delivering effective AI pitches

Conclusion and Next Steps

    • Recap of key learnings
    • Strategies for continued AI fluency and confidence
    • Q&A and feedback session

SAFe® AI-Empowered Product Owner/Product Manager (SAFe POPM)

  • Lesson 1: Exploring Product Roles and Responsibilities
    • Introducing SAFe for product roles
    • The Lean-Agile mindset
    • Value streams
    • Responsibilities of product roles
  • Lesson 2: Preparing for PI Planning
    • PI Planning
    • The solution vision
    • Solution and PI roadmaps
    • Customer-centric features
    • ART backlog and Kanban
  • Lesson 3: Leading PI Planning
    • Communicate the vision
    • Establish PI objectives
    • Manage dependencies
    • Manage risks
  • Lesson 4: Executing Iterations
    • Stories and story maps
    • Iteration planning
    • The team Kanban and team sync
    • Backlog refinement
    • Iteration review and iteration retrospective
    • Continuous delivery pipeline
  • Lesson 5: Executing the PI
    • Aligning delivery with sync events
    • The system demo
    • The innovation and planning iteration
    • Inspect and adapt
  • Lesson 6: AI for Product Roles
    • An overview of AI
    • Responsible AI
    • Building an AI-augmented workforce