The NAVI AI Enablement Journey · Guide 01A

Understanding Your AI Enablement Level

A simple view of how your organization’s AI capability is progressing and what its current level means.

The purpose

Your level provides a simple way to track progress, recognize what has been achieved and motivate the next useful step.

Success Hub exampleLevel 3Orchestrator · AI Powered · 80/100

Levels 1 and 2 are complete, with 80 points earned toward completing Level 3.

The five
levels

Each level represents a practical increase in organizational capability.

1Level

Pathfinder

AI Capable

The organization has chosen a useful starting point, assigned ownership, set basic safeguards, and put one AI-enabled workflow into real use.

2Level

Builder

AI Embedded

AI-enabled work is recurring rather than experimental. People know when and how to use it, and the organization is beginning to maintain and improve it.

3Level

Orchestrator

AI Powered

AI-enabled capabilities operate reliably across the appropriate work, teams, and systems. Reusable patterns and sound controls make results dependable.

4Level

Architect

AI Transformed

The organization uses AI to improve meaningful processes and services—not only individual tasks—and coordinates human judgment with AI assistance.

5Level

Vanguard

AI Native

AI is considered intentionally across material work and continuously improved. Capability is distributed, governance adapts, and boundaries remain deliberate.

Level 3 is a strong practical target for most organizations. Levels 4 and 5 provide a longer horizon for broader transformation.
What completes
each level

Every level has five predefined capabilities. These requirements remain consistent; the appropriate way to prove them depends on the organization’s size, needs, intended scope, and risk.

Level 1

Pathfinder

  1. Direction and ownershipThe organization knows what it wants to improve, who is responsible for the effort, and who can make decisions when questions or obstacles arise.
  2. First priority selectedThe team has chosen one real piece of work to improve first, understands who performs it today, and can explain what a useful result would look like.
  3. Knowledge and guardrails preparedThe workflow uses appropriate information, respects access permissions, and clearly identifies what people must review before an output can be trusted or acted upon.
  4. First workflow built and testedThe team has created the workflow and tried it with realistic examples, including situations where information is missing, unusual, or incorrect.
  5. First proof operatingIntended users have used the workflow for actual work, reviewed the results, and decided whether to continue it, improve it, expand it, or stop it.
Level 2

Builder

  1. Role-based fluency and supportThe people expected to use or review the workflow understand their part, know how to recognize a questionable result, and know where to get help.
  2. Recurring adoptionThe workflow is no longer a one-time demonstration. People return to it when the real business need occurs—for example, when a proposal is due, a report must be prepared, or a customer issue arrives.
  3. Internal ownershipSomeone inside the organization can keep the workflow useful by handling routine updates, correcting problems, helping users, and making normal operating decisions.
  4. Repeatable portfolio capabilityThe organization has taken what it learned from the first workflow and successfully applied it to another workflow, team, or closely related use case.
  5. Learning and value rhythmThe team regularly looks at what is happening in real use—such as usefulness, quality, time saved, problems, and effort—and uses that information to decide what to expand, change, pause, or work on next.
Level 3

Orchestrator

  1. Appropriate system accessThe workflow can reliably reach the current, authoritative information it needs while respecting permissions, ownership, and any limits on how the information may be used.
  2. Delegated or automated workAI can perform a defined step without someone manually initiating every action, while people still control approvals, important decisions, and unusual situations.
  3. Operational reliabilityThe organization knows who monitors and maintains important workflows, and it has successfully detected and handled a real change, error, or exception without losing control of the work.
  4. Broader operating reachThe capability works across the full area it was intended to support—such as multiple participating teams, connected systems, or several steps of an end-to-end process—not only inside the original pilot.
  5. Reusable operating patternsA successful piece of the approach—such as trusted knowledge, review rules, workflow steps, or a technical component—has been reused successfully instead of being rebuilt for every new use case.
Level 4

Architect

  1. Consequential process redesignThe organization has redesigned a meaningful process, service, or decision flow around what people and AI can each do well, producing an improvement larger than speeding up one isolated task.
  2. Distributed innovationUseful ideas and improvements are coming from people who do the work across the organization—not only from the original sponsor, AI champion, or implementation team.
  3. Portfolio-level valueLeadership compares AI initiatives using real evidence about business results, quality, capacity, cost, and risk, then uses that comparison to decide where to invest or stop investing.
  4. Adaptive governance and operating modelThe organization updates its rules, responsibilities, review requirements, and support model as it learns from actual use, problems, and new AI capabilities.
  5. Sustained self-improvementThe organization can repeatedly identify, build, maintain, and improve valuable AI-enabled ways of working without depending on an outside partner for routine operation.
Level 5

Vanguard

  1. Intentional companywide coverageThe organization has examined its important areas of work and deliberately decided where AI should help, where it may act more independently, and where it should not be used.
  2. Distributed capabilityMultiple parts of the organization have people who can responsibly propose, own, and improve AI-enabled work, rather than everything depending on one expert or central team.
  3. Adaptive portfolio governanceLeadership continually adjusts which capabilities receive investment, access, independence, and support—and which should be limited or retired—as results, risks, and technology change.
  4. Compounding knowledge and reuseEach new initiative benefits from knowledge, standards, components, and lessons created by earlier work, making future improvements faster and more dependable.
  5. Sustained organization-wide valueAcross time and across the intended organization, AI continues to produce useful results while quality, risk, workforce impact, and dependence on particular people or partners remain responsibly managed.
How progress
is earned
0Not establishedThe capability is not yet in place.
10EstablishedA decision, owner, design, or implementation exists.
20ProvenThe capability has worked and been sustained in real use.
Ten points means a capability has been concretely put in place. Twenty points means it has worked in real business use. Five proven capabilities complete the level at 100, unlocking the next level. A simple, fit-for-purpose solution can earn the same progress as a complex one.
What affects
the score

The score rewards durable capability—not volume or technical complexity.

What counts

  • Clear priorities, ownership, and safeguards.
  • Workflows tested and operating in real conditions.
  • Recurring use, maintenance, and improvement.
  • Evidence of useful business, quality, capacity, or risk outcomes.

What does not count by itself

  • Users, prompts, chats, or tool calls.
  • The number of systems, automations, or features.
  • Demonstrations that never enter operation.
  • Complexity without usefulness or ownership.
The AI Enablement level is a practical progress framework. It is not an audit, certification, account-health score, ROI calculation, or comparison with another organization.