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Build the Internal AI Leaders Your Organization Needs.

The AI Leadership Development Program equips up to five leaders from your organization with the coaching, frameworks, and practical experience needed to guide AI adoption, redesign workflows, establish governance, and build lasting organizational capability. Together, we’ll build your AI strategy, identify where AI creates the greatest value for your business, and coach your leadership team as they turn that strategy into measurable business impact.

 

A Proven, Five-phase Transformation Model at the Core of Every Membership.

The Foundation

Develop AI Leaders Who Can Drive RealOrganizational Change.

The AI Leadership Development Program develops one to five leaders from your organization into internal AI leaders. Through executive coaching, practical application, and ongoing guidance, your team builds the leadership, governance, and operational capability needed to guide AI adoption long after the program ends.

This isn't a certification program or traditional AI training. It's a year-long leadership development program where your team builds your AI strategy while learning how to lead AI inside your organization.

Why It Works

Why Organizations Choose the AI Leadership Development Program

The AI Leadership Development Program develops the leaders, strategy, and organizational capability needed to help your organization confidently lead AI today while preparing for what’s next.

Build Internal AI Leaders

Develop one to five trusted leaders who can guide AI strategy, prioritize investments, and lead AI adoption across your organization.

Build Your AI Strategy

Work alongside the AI Navigator Collective to identify high-impact opportunities, prioritize initiatives, and develop an AI strategy that aligns with your business goals.

Build Lasting Organizational Capability

Your organization leaves the program with the leadership, governance, and operational capability to continue creating business value as AI evolves.

How the AI Leadership Development Program Works.

hroughout the 12-month AI Leadership Development Program, your leadership team progresses through the Navigator Pathway™, a proven five-phase methodology that helps your organization build AI strategy, leadership capability, governance, and operational readiness. Each phase builds on the last, creating a practical roadmap from planning through implementation and continuous improvement.

Readiness & Alignment

Build leadership alignment, assess organizational readiness, and establish a shared understanding of where AI creates value.

Opportunity Identification & Prioritization

Identify high-impact opportunities, map workflows, and prioritize AI initiatives based on business value.

Planning, Governance & Preparedness

Develop your AI strategy, roadmap, governance framework, and implementation plan.

Implementation & Workflow Redesign

Guide implementation, redesign workflows, and help teams integrate AI into day-to-day operations

Continuous Improvement

Strengthen internal capability through ongoing coaching, governance refinement, and continuous optimization.

What Your Leadership Team Receives

  • A year of executive coaching
  • AI strategy and roadmap development
  • Governance frameworks and implementation tools
  • Workflow redesign guidance
  • Ongoing support from the AI Navigator Collective

THE FIVE PHASES

A Closer Look at the Navigator Pathway™

Explore each phase of the Navigator Pathway™ to see how your leadership team will build strategy, governance, operational capability, and implementation readiness throughout the AI Leadership Development Program.

AI Navigator Collective - Framework Slider
1
Phase 1 of 5

Readiness & Alignment

Build shared understanding across leaders and teams.

Organizations start by establishing a common foundation—clarity about what AI is, where it fits, and what the organization needs to be successful.

This phase includes:

Baseline literacy and governance education
AI current state and readiness assessment
Leadership alignment and shared language
Workflow + data foundation evaluation
Identification of early risks and safeguards
Industry-specific use cases and opportunities
Guidance for internal leadership conversations
Access to baseline AI-literacy training
Outcome: A clear, shared understanding of how the organization will move forward together.
2
Phase 2 of 5

Opportunity Identification & Prioritization

Find the highest-value opportunities.

Teams map workflows, identify bottlenecks, and evaluate use cases using a simple but rigorous impact framework.

This phase includes:

Refined AI use cases for your organization
Workflow mapping and diagnostics
Opportunity scoring tools
Guidance for leadership conversations
Training and role-specific upskilling needs
Feasibility + ROI evaluation
Near-term quick wins vs. long-term investments
Outcome: A prioritized opportunity portfolio rooted in real operational needs—not hype.
3
Phase 3 of 5

Planning, Governance & Preparedness

Turn priorities into an actionable, responsible implementation plan.

Governance is built after opportunities—not before—so policies enable progress rather than restrict it.

This phase includes:

1-year AI Capability plan
30/60/90 implementation planning
Governance standards and risk protocols
Data requirements and technical considerations
Role shifts, training needs, and workflow changes
Outcome: A complete, responsible implementation plan for your highest-value opportunities.
4
Phase 4 of 5

Implementation & Workflow Redesign

Experience meaningful shifts in how work gets done.

Organizations launch pilots, refine workflows, reduce friction, and help teams integrate AI into daily operations.

This phase includes:

Pilot implementation support
Workflow redesign kits
Troubleshooting tools + coaching
Change management support and tools
Integration guidance across teams
Access to vetted technical partners
Outcome: Early wins, stabilized workflows, and strong organizational momentum.
5
Phase 5 of 5

Capability Enhancement & Improvement

Build durable capability that evolves with the organization.

Teams strengthen governance, refine workflows, and adopt ongoing practices that maintain capability long-term.

This phase includes:

Continuous improvement routines
Ongoing access to AI advancements
Output validation + monitoring
Prompt + automation refinement
Governance updates
Training and onboarding processes
Outcome: An organization that can adapt, mature, and extend its AI capability over time.

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