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The Navigator Pathway: A structured model for building an AI-capable organization.

A five-phase framework that aligns leaders, redesigns workflows, establishes governance, and equips teams to integrate AI confidently and responsibly—at scale.

The Foundation

A proven, five-phase transformation model at the core of every membership.

The Navigator Pathway is the foundational model every member organization uses to build AI capability. It is grounded in research on the most common reasons organizations struggle with AI adoption—including misaligned leadership, unclear workflows, inconsistent governance, and lack of internal capacity.

The Pathway blends human intelligence and artificial intelligence into one adaptive operating system by strengthening leadership, redesigning workflows, establishing governance standards, and building internal technical and operational capability.

It is not tool-first, training-first, or pilot-first. It's capability-first and human-first, ensuring your organization can implement AI responsibly and scale it sustainably.

Why It Works

Why the Pathway Works

A structured, sequenced model keeps teams aligned, focused on high-value opportunities, and supported through implementation.

It creates internal leadership capacity.

Navigators become the organization's AI leaders, trained and supported to drive capability-building from within.

It builds systems that last.

Governance, workflows, and decision-making are strengthened so AI integrates into how work gets done—not layered on top.

It reduces risk and scattered experimentation.

A structured, sequenced model keeps teams aligned, focused on high-value opportunities, and supported through implementation.

The Framework

The Five Phases

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.

Navigator Support

Every Navigator receives structured support throughout the Pathway

The Navigator Pathway

Full access to the five-phase capability-building model

1:1 & Group Coaching

Personalized support for implementation & leadership

Readiness & Opportunity Assessments

Tools that surface quick wins and highest-ROI opportunities

Industry-Specific Use Cases

Tailored guidance based on your sector and operations

Peer Learning Communities

Curated groups by size, industry, function, and role

Governance & Workflow Kits

Structured tools for durable, responsible capability

Operational Playbooks

Resources to plan, sequence, and sustain AI capability

Latest AI Advancements

Updates curated to your industry and software

Technical Assistance Network

Vetted technical resource and support providers

Team Training

AI training modules you can implement internally

Optional Certification Add-on

Chief AI Officer Certification through Walsh University