AI-Native Change Agent – The Next Step Towards a Successful AI Transformation

The AI-Native Change Agent Training is a 2.5-day advanced program that builds on the foundations of the AI-Native Foundations course. It equips professionals to move beyond individual AI use cases and lead organization-wide AI initiatives from concept to production, ensuring real and measurable business impact.

As a certified AI-Native Change Agent, you will gain the knowledge and tools to guide cross-functional teams through the full lifecycle of AI initiatives—identifying opportunities, aligning stakeholders, managing risks, and delivering solutions that scale.

The course combines a structured facilitation process with Design Thinking principles and the seven AI-Native Success Factors. You will learn how to avoid common pitfalls such as hype-driven distractions, stalled pilots, or misaligned priorities, and instead establish repeatable patterns for AI success across the enterprise.

The program also covers the organizational and regulatory dimensions that must be addressed to drive sustainable AI adoption at scale.

What You’ll Learn

• Preparing the AI Transformation
• Spotting blind spots and value gaps
• Building AI fluency and maximizing existing assets
• AI-powered facilitation and discovery of high-value use cases
• Designing the Transformation
• Crafting compelling value propositions
• Data strategy and product operationalization
• Risk management & compliance
• Ensuring sustainable value creation
• Executing & Scaling
• Building an implementation roadmap
• Guiding successful rollouts
• Storytelling & engaging stakeholders
• Expanding your organizational impact

Learning Outcomes

• Spot and overcome common blockers such as hype traps, stalled pilots, and misaligned priorities
• Facilitate structured AI-Native Value Workshops to align teams on goals, feasibility, and delivery strategies
• Translate complex AI concepts into clear business language to engage non-technical leaders and secure sponsorship
• Build stakeholder maps, charters, and execution plans that accelerate delivery
• Guide projects through lean delivery cycles, removing obstacles to ensure real-world adoption

Business Impact

• Closes the AI execution gap, moving initiatives out of the POC Graveyard into production
• Strengthens alignment between business, technology, and leadership, reducing delays and rework
• Establishes scalable, repeatable success patterns for launching and expanding AI solutions across the enterprise