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North Star AI Academy

Train the operating system, not just the tool.

Private, role-based learning that turns AI knowledge into governed work. Teams learn on real operating problems, build review points, and leave with evidence they can run the standard, not a folder of generic lessons.

One standard, four roles

Capability becomes operational when every owner knows their part.

The curriculum separates decision rights, workflow ownership, building, and governance, then reunites them around one applied operating record.

  • 01

    Executive operator

    Set the portfolio, decision rights, risk tolerance, and business measures that govern AI work.

  • 02

    Functional leader

    Translate operating friction into prioritized use cases with owners, review points, and outcomes.

  • 03

    Workflow builder

    Design repeatable instructions, context, tools, tests, and handoffs without removing human judgment.

  • 04

    Governance owner

    Define data boundaries, approval rules, exception handling, evidence, and change control.

The Academy operating loop

Learning is only complete when the work can be verified.

One continuous operating record

Repeat with evidence

  1. 01

    Learn

    Build shared language around capabilities, limits, risk, and the operating standard.

  2. 02

    Apply

    Use the standard on work the participant already owns, not a generic classroom exercise.

  3. 03

    Verify

    Review the output, controls, evidence, and business measure before calling the skill complete.

  4. 04

    Improve

    Write the lesson back into the workflow, policy, and next operating cycle.

Input

One real problem the learner already owns

Writeback

A verified lesson that improves the next cycle

LearnApplyVerifyImproveLearn

Field guide library

One standard. Three ways in.

Each guide uses the same Learn, Apply, Verify, Improve record while changing the language, pace, safety boundary, and challenge for its audience. The structure stays stable as tools and lessons evolve.

Adult operator field guide

Six operating stages · one decision record

Use AI without outsourcing judgment.

A professional operating guide for moving from a useful AI idea to bounded work with ownership, evidence, exception handling, and a reviewable outcome.

  1. 01

    Frame the decision

    State the operating problem, desired outcome, decision owner, and what remains human judgment.

  2. 02

    Set the boundary

    Define approved inputs, prohibited data, allowed actions, and the conditions that stop the workflow.

  3. 03

    Build the instruction

    Give the task context, source hierarchy, output contract, and examples of acceptable work.

  4. 04

    Test the edges

    Use normal, ambiguous, adversarial, and failure cases before relying on the workflow.

  5. 05

    Name the review

    Assign who checks the output, what evidence they need, and how exceptions escalate.

  6. 06

    Verify the outcome

    Compare the result with the agreed baseline and write the lesson back into the operating record.

Ready check

  • One accountable owner
  • Approved data and tool boundary
  • Source and output contract
  • Edge cases and rollback tested
  • Outcome verified against a baseline

Mission arcade

Practice the decision before it becomes the mistake.

Short, replayable missions turn safety, evidence, creative judgment, and launch discipline into choices. Every response reveals the operating principle while the decision is still memorable.

Choose a mission

Hook, Line, and Sinker

Mission 1 / 3

Make the call.

Choose the move that makes the next launch clearer, safer, and easier to learn from.

Situation

The first cut opens with a logo animation and a broad promise. What should change first?

Choose one response. The operating principle appears immediately.

The Decision Room

Do not quiz recall. Rehearse judgment under pressure.

Branching scenes let operators make the call, see the downstream consequence, and learn the principle while the decision is still memorable. Try the fictional preview below.

Interactive learning preview

Fictional training scenario

Scene 01 · The pressure

A fictional service company has a growing follow-up backlog. Leadership wants the new AI workflow live by Friday.

Decision 1 / 3

What do you authorize first?

Choose an action to reveal the operating consequence and coaching principle.

Academy Continuum

Completion is a checkpoint, not an ending.

Every mastered lesson leaves a useful record and opens the most relevant next route. New conditions create new practice without forcing a learner to restart work they already proved.

Choose the next route

New mission

Next checkpoint

The operating context changes

Reapply the same principle inside a new situation with different constraints.

Learner value
Transfer the skill beyond one memorized example.
Access path
Preview and paid mission libraries
Enter a mission

01Master

02Reroute

03Reapply

04Verify

05Master again

Academy access

See the standard first. Unlock the operating depth when the team is ready.

The open preview proves the teaching model. A private cohort activates the standard. Continuum keeps it current. Organization access scales versioned learning, administration, and evidence without hiding the standard behind a blind purchase.

01

Open preview

Included on this page

Free access

A complete view of the operating standard before a team requests a private learning path.

  • Three field guide previews
  • Three replayable practice missions
  • One branching Decision Room scenario
  • English and Spanish access
Explore the preview

02

Cohort access

Private activation pathway

One-time cohort

The complete role-based learning path with applied work, live review, facilitator support, and completion evidence.

  • Full lessons and mission library
  • Live build and review sessions
  • Applied workbook and operating templates
  • Submitted work and completion record
See cohort options

03

Continuum membership

Ongoing learning access

Recurring membership

The continuing layer after activation, with versioned learning releases that return completed skills to new operating conditions.

  • Versioned core lesson releases
  • New missions and harder decision branches
  • Role progression and guided next routes
  • Shared review rooms and updated field guides
Request Continuum access

04

Organization access

Licensed for the operating model

Recurring organization term

Private scenarios, administration, and evidence designed around the roles, policies, and systems of one organization.

  • Private scenario and guide library
  • Role assignment and cohort administration
  • Facilitator and leadership reporting
  • Version history and controlled release channels
  • Identity, LMS, security, and regional scope
Design organization access

Module access map

Preview before purchase

  1. 01

    Foundation preview

    The field guides, practice missions, and first Decision Room scenario.

    Open now

  2. 02

    Prompt to operating workflow

    Build instructions, tests, human review points, exception rules, and a measurable outcome.

    Cohort access

  3. 03

    Evidence and exception lab

    Pressure-test sources, failure states, recovery, approval, and verified writeback.

    Continuum access

  4. 04

    Portfolio and governance room

    Align roles, policies, decision rights, measures, and change control across the organization.

    Organization access

Commercial boundary

Cohort delivery is a one-time activation. Continuum and organization access use a separate recurring term. The written scope must show the term, renewal, cancellation, currency, tax, included support, and any one-time implementation or custom-production amount before purchase.

Private cohort pathways

Start with one leadership room. Scale to the whole operating model.

Academy can stand alone or accompany North Star software. Small cohorts have a clear entry point. Larger requests remain open-ended.

Operator Foundations

$2,500

Private half-day lab · up to 12 participants

Leadership teams that need one practical AI operating standard before adoption spreads.

  • AI capabilities, limits, and responsible-use baseline
  • Role and risk map for the operating team
  • Three workflow opportunities prioritized
  • North Star field guide and ninety-day action map

Applied Workflow Lab

$7,500

Four-week private cohort · up to 12 participants

Cross-functional teams ready to turn recurring work into controlled AI-assisted workflows.

  • Role-based pathway for operators and workflow owners
  • Four live build-and-review labs
  • Three applied workflows with human review gates
  • Measurement baseline, operating rubric, and completion record

AI Operations Leadership

From $12,500

Six-week operating cohort · up to 20 participants

Organizations aligning leadership, builders, and governance owners around a repeatable AI operating model.

  • Executive, operator, builder, and governance pathways
  • Decision architecture and portfolio prioritization
  • Policy, risk, escalation, and approval design
  • Applied capstone, executive readout, and adoption roadmap

Global Academy

Open scope

Open scope · regional or enterprise rollout

Larger, multilingual, multi-entity, franchise, association, or procurement-led requests.

  • No preset ceiling on participants, roles, regions, or cohorts
  • Localized role pathways and train-the-trainer delivery
  • Custom operating labs, content, and assessment evidence
  • LMS, identity, reporting, security, and procurement scope

Completion records document participation and submitted applied work. They are not degrees, licenses, or third-party professional certifications. Travel, on-site delivery, custom content, LMS integration, translation beyond English and Spanish, and software subscriptions are scoped separately.

Request an Academy scope