AIWorkerz
Profession pack

AI Native CEO

Convert the existing CEO role into an AI-native operating model through 30 days of simulated workplace practice, evidence and assessment.

Executive Leadership30 daysProduction-ready
Start guided programmeView 30-day plan
Role walkthroughApp screens and 30-day flow
Not a course preview.

The video shows how this role is presented in the AIWorkerz app: simulated company context, guided AI-native work, day-by-day evidence and accreditation progression.

Simulated workplace

How AIWorkerz makes a CEO AI Native

Learners do the role inside an imaginary company rather than consuming generic training. Each day gives them role-specific pressure, context, stakeholder tension and an accountable work product to produce with AI as an operating partner.

SenseFrameDelegateVerifyDecideImprove
Duration

30 days

Orientation, guided work, applied practice, integration and capstone.

Evidence

30 outputs

Daily work products show the learner can perform the role in an AI-native way.

Credential

Accredited AI Native CEO

Public verification follows assessor acceptance and accreditation checks.

Capability shift

What changes in the role

Professional judgementAI delegationEvidence verificationStakeholder communicationWorkflow redesignResponsible AI use

The learner practises when to use AI, how to verify its work, what judgement cannot be delegated and how to leave a clear evidence trail.

Access

$995 30-day course

After the 30-day active window, learners retain read-only course history and can extend active use for $100/month.

30-day curriculum

What this pack teaches day by day

The programme is structured as a workplace simulation: each day has a role-specific objective, guided activities and a required evidence output.

ORIENTATIONGUIDED WORKAPPLIED PRACTICEINTEGRATIONCAPSTONE

By Day 30, the learner has produced a complete portfolio showing how they sense context, frame work, delegate to AI, verify claims, make accountable decisions and improve the operating system of the role.

1
ORIENTATION

Day 1: Understand AI-native CEO performance

Learn the CEO accountabilities that remain human when AI performs analysis, synthesis and drafting.

Why it matters

Establish the difference between using AI and leading an AI-native enterprise.

Evidence output

CEO accountability map

Activities

  1. Review the CEO mandate and Northstar GroupReview the CEO mandate and Northstar Group for understand ai-native ceo performance.
  2. Classify CEO versus AI accountabilitiesClassify CEO versus AI accountabilities for understand ai-native ceo performance.
  3. Submit your first accountability mapSubmit your first accountability map for understand ai-native ceo performance.
2
ORIENTATION

Day 2: Map the enterprise and stakeholder system

Understand Northstar strategy, operating model, board expectations and stakeholder tensions.

Why it matters

A CEO must understand the system before delegating analysis or making decisions.

Evidence output

Enterprise stakeholder map

Activities

  1. Review Northstar's enterprise profileReview Northstar's enterprise profile for map the enterprise and stakeholder system.
  2. Map board and executive stakeholder interestsMap board and executive stakeholder interests for map the enterprise and stakeholder system.
  3. Identify the three tensions requiring CEO judgementIdentify the three tensions requiring CEO judgement for map the enterprise and stakeholder system.
3
ORIENTATION

Day 3: Complete the CEO baseline assessment

Respond to an ambiguous board decision without guided AI support.

Why it matters

The baseline establishes starting capability across framing, delegation, verification and judgement.

Evidence output

CEO baseline decision brief

Activities

  1. Review the baseline board scenarioReview the baseline board scenario for complete the ceo baseline assessment.
  2. Produce an initial AI-supported recommendationProduce an initial AI-supported recommendation for complete the ceo baseline assessment.
  3. Submit for diagnostic assessmentSubmit for diagnostic assessment for complete the ceo baseline assessment.
4
GUIDED WORK

Day 4: Frame a board-level decision

Convert a vague board request into a precise decision question with boundaries and success criteria.

Why it matters

Poorly framed executive work produces polished but unusable AI output.

Evidence output

Board decision frame

Activities

  1. Review the board chair's requestReview the board chair's request for frame a board-level decision.
  2. Define decision, scope and constraintsDefine decision, scope and constraints for frame a board-level decision.
  3. Submit the decision frameSubmit the decision frame for frame a board-level decision.
5
GUIDED WORK

Day 5: Build an executive AI work instruction

Create a complete instruction that gives AI the outcome, context, constraints and required evidence.

Why it matters

Executive delegation must make assumptions, authority and verification explicit.

Evidence output

Executive AI work instruction

Activities

  1. Select relevant enterprise contextSelect relevant enterprise context for build an executive ai work instruction.
  2. Construct the AI work instructionConstruct the AI work instruction for build an executive ai work instruction.
  3. Review it against CEO delegation criteriaReview it against CEO delegation criteria for build an executive ai work instruction.
6
GUIDED WORK

Day 6: Separate facts, assumptions and inference

Review an AI-generated market-entry recommendation and classify every material claim.

Why it matters

A CEO must know what is known, inferred and asserted before committing capital.

Evidence output

Claim verification register

Activities

  1. Read the market-entry recommendationRead the market-entry recommendation for separate facts, assumptions and inference.
  2. Classify material claimsClassify material claims for separate facts, assumptions and inference.
  3. Record the claims requiring verificationRecord the claims requiring verification for separate facts, assumptions and inference.
7
GUIDED WORK

Day 7: Challenge a financial growth case

Test a proposal that promises rapid growth but hides cash, margin and execution assumptions.

Why it matters

Revenue growth is not value creation unless economics and execution capacity are credible.

Evidence output

Growth-case challenge brief

Activities

  1. Review the CFO growth modelReview the CFO growth model for challenge a financial growth case.
  2. Challenge the value driversChallenge the value drivers for challenge a financial growth case.
  3. Submit a revised investment viewSubmit a revised investment view for challenge a financial growth case.
8
GUIDED WORK

Day 8: Resolve conflicting executive advice

Reconcile opposing CFO and COO recommendations without averaging away the real trade-off.

Why it matters

The CEO must expose the decision criteria and resolve disagreement constructively.

Evidence output

Executive alignment record

Activities

  1. Review both executive positionsReview both executive positions for resolve conflicting executive advice.
  2. Ask decision-reversing questionsAsk decision-reversing questions for resolve conflicting executive advice.
  3. Record the CEO resolutionRecord the CEO resolution for resolve conflicting executive advice.
9
GUIDED WORK

Day 9: Communicate a decision to the board

Turn complex analysis into a concise recommendation, rationale, risks and requested board action.

Why it matters

Board communication must preserve uncertainty while enabling a clear decision.

Evidence output

Board recommendation note

Activities

  1. Review the evidence trailReview the evidence trail for communicate a decision to the board.
  2. Draft the board communicationDraft the board communication for communicate a decision to the board.
  3. Submit the final board noteSubmit the final board note for communicate a decision to the board.
10
GUIDED WORK

Day 10: Verify before converging

Detect a deliberately polished AI recommendation containing unsupported certainty.

Why it matters

The CEO must resist fluency bias and test decision-reversing assumptions.

Evidence output

Verified CEO recommendation

Activities

  1. Run the AI analysisRun the AI analysis for verify before converging.
  2. Mark unsupported conclusionsMark unsupported conclusions for verify before converging.
  3. Submit a corrected recommendationSubmit a corrected recommendation for verify before converging.
11
APPLIED PRACTICE

Day 11: Allocate capital across competing priorities

Choose between acquisition, product investment, debt reduction and workforce capability.

Why it matters

Capital allocation requires strategic coherence and evidence-based trade-offs.

Evidence output

Capital allocation memorandum

Activities

  1. Review four investment casesReview four investment cases for allocate capital across competing priorities.
  2. Use AI to compare scenariosUse AI to compare scenarios for allocate capital across competing priorities.
  3. Submit the capital allocation decisionSubmit the capital allocation decision for allocate capital across competing priorities.
12
APPLIED PRACTICE

Day 12: Respond to a revenue shock

Lead the first 72 hours after a major customer loss threatens the annual plan.

Why it matters

The CEO must stabilise the organisation without reacting to incomplete information.

Evidence output

Revenue-shock response plan

Activities

  1. Review the revenue-loss briefingReview the revenue-loss briefing for respond to a revenue shock.
  2. Set response priorities and decision gatesSet response priorities and decision gates for respond to a revenue shock.
  3. Issue the executive directionIssue the executive direction for respond to a revenue shock.
13
APPLIED PRACTICE

Day 13: Challenge an acquisition recommendation

Decide whether Northstar should acquire Meridian Analytics despite integration and privacy uncertainty.

Why it matters

Acquisition decisions combine strategy, valuation, execution capacity and risk under board pressure.

Evidence output

Acquisition decision brief

Activities

  1. Review briefing, inbox and evidence packReview briefing, inbox and evidence pack for challenge an acquisition recommendation.
  2. Challenge the AI recommendationChallenge the AI recommendation for challenge an acquisition recommendation.
  3. Commit and explain the decisionCommit and explain the decision for challenge an acquisition recommendation.
14
APPLIED PRACTICE

Day 14: Lead through operational failure

Respond to declining service levels while transformation programmes compete for scarce leadership capacity.

Why it matters

The CEO must distinguish symptoms from the system constraint and set enterprise priorities.

Evidence output

Enterprise recovery directive

Activities

  1. Review operational performanceReview operational performance for lead through operational failure.
  2. Test competing root-cause explanationsTest competing root-cause explanations for lead through operational failure.
  3. Set the recovery mandateSet the recovery mandate for lead through operational failure.
15
APPLIED PRACTICE

Day 15: Make a workforce redesign decision

Evaluate a proposal to redesign 430 roles using AI while protecting trust, fairness and capability.

Why it matters

AI productivity decisions create strategic, human and governance consequences owned by the CEO.

Evidence output

Responsible workforce transition decision

Activities

  1. Review productivity and people evidenceReview productivity and people evidence for make a workforce redesign decision.
  2. Define transition principles and controlsDefine transition principles and controls for make a workforce redesign decision.
  3. Submit the workforce decisionSubmit the workforce decision for make a workforce redesign decision.
16
APPLIED PRACTICE

Day 16: Handle a cyber and data incident

Lead the executive response to a material data exposure with incomplete technical facts.

Why it matters

The CEO must establish accountability, disclosure thresholds and business continuity under uncertainty.

Evidence output

Cyber incident executive record

Activities

  1. Review incident briefingReview incident briefing for handle a cyber and data incident.
  2. Question CTO and General Counsel positionsQuestion CTO and General Counsel positions for handle a cyber and data incident.
  3. Approve the response planApprove the response plan for handle a cyber and data incident.
17
APPLIED PRACTICE

Day 17: Protect trust during public scrutiny

Respond when an AI-enabled customer decision is challenged as unfair by media and regulators.

Why it matters

The CEO owns institutional trust and cannot delegate ethical judgement to technology teams.

Evidence output

Public trust response brief

Activities

  1. Review public and regulatory claimsReview public and regulatory claims for protect trust during public scrutiny.
  2. Test the organisation's evidenceTest the organisation's evidence for protect trust during public scrutiny.
  3. Issue the trust responseIssue the trust response for protect trust during public scrutiny.
18
APPLIED PRACTICE

Day 18: Transfer the method to a real CEO decision

Apply the Sense-Frame-Delegate-Verify-Decide-Improve loop to a genuine non-confidential decision.

Why it matters

Transfer proves the method can improve executive work beyond the simulation.

Evidence output

Real-work CEO application note

Activities

  1. Define the real decisionDefine the real decision for transfer the method to a real ceo decision.
  2. Use the structured AI workflowUse the structured AI workflow for transfer the method to a real ceo decision.
  3. Submit an attested application noteSubmit an attested application note for transfer the method to a real ceo decision.
19
INTEGRATION

Day 19: Redesign the executive decision process

Map how a recurring executive decision should operate when AI performs research and analysis.

Why it matters

AI-native leadership changes the operating model, not only individual productivity.

Evidence output

AI-native executive workflow

Activities

  1. Map the current decision workflowMap the current decision workflow for redesign the executive decision process.
  2. Allocate human and AI ownershipAllocate human and AI ownership for redesign the executive decision process.
  3. Submit the redesigned workflowSubmit the redesigned workflow for redesign the executive decision process.
20
INTEGRATION

Day 20: Define the enterprise AI operating model

Set accountabilities across board, CEO, executives, risk, technology and business teams.

Why it matters

Enterprise AI fails when ownership is fragmented or accountability is implied.

Evidence output

Enterprise AI operating model

Activities

  1. Review the current governance gapsReview the current governance gaps for define the enterprise ai operating model.
  2. Design decision rights and escalationDesign decision rights and escalation for define the enterprise ai operating model.
  3. Publish the operating modelPublish the operating model for define the enterprise ai operating model.
21
INTEGRATION

Day 21: Establish verification controls

Define proportionate controls for low, medium and high-consequence AI-supported decisions.

Why it matters

High-consequence decisions require traceable verification.

Evidence output

AI decision assurance framework

Activities

  1. Classify decision consequence levelsClassify decision consequence levels for establish verification controls.
  2. Design evidence and approval controlsDesign evidence and approval controls for establish verification controls.
  3. Submit the assurance frameworkSubmit the assurance framework for establish verification controls.
22
INTEGRATION

Day 22: Lead AI adoption without losing trust

Respond to employee resistance, executive inconsistency and unrealistic board expectations.

Why it matters

Adoption is a leadership system involving purpose, capability, incentives and credible safeguards.

Evidence output

AI adoption leadership plan

Activities

  1. Review adoption signalsReview adoption signals for lead ai adoption without losing trust.
  2. Diagnose resistance and trust risksDiagnose resistance and trust risks for lead ai adoption without losing trust.
  3. Set the leadership interventionSet the leadership intervention for lead ai adoption without losing trust.
23
INTEGRATION

Day 23: Set responsible AI governance

Approve principles, prohibited uses, escalation thresholds and accountable executives.

Why it matters

Governance must enable value while making unacceptable use and accountability explicit.

Evidence output

Responsible AI governance mandate

Activities

  1. Review proposed governance policyReview proposed governance policy for set responsible ai governance.
  2. Challenge gaps and vague ownershipChallenge gaps and vague ownership for set responsible ai governance.
  3. Approve the CEO governance mandateApprove the CEO governance mandate for set responsible ai governance.
24
INTEGRATION

Day 24: Measure enterprise value from AI

Replace activity metrics with measures of financial value, cycle time, quality, risk and capability.

Why it matters

The CEO needs evidence that AI changes enterprise performance, not merely usage volume.

Evidence output

Enterprise AI value scorecard

Activities

  1. Review current AI metricsReview current AI metrics for measure enterprise value from ai.
  2. Define the value measurement modelDefine the value measurement model for measure enterprise value from ai.
  3. Approve the executive scorecardApprove the executive scorecard for measure enterprise value from ai.
25
INTEGRATION

Day 25: Coach an executive to become AI native

Help a functional leader improve a weak AI-supported decision without taking over accountability.

Why it matters

The CEO must develop executive capability and maintain clear ownership.

Evidence output

Executive AI coaching record

Activities

  1. Review the executive's workReview the executive's work for coach an executive to become ai native.
  2. Conduct a coaching conversationConduct a coaching conversation for coach an executive to become ai native.
  3. Record capability actionsRecord capability actions for coach an executive to become ai native.
26
INTEGRATION

Day 26: Build the CEO AI-native operating plan

Integrate strategy, operating model, governance, capability and value measurement into a 90-day plan.

Why it matters

The plan demonstrates movement from isolated use to enterprise leadership.

Evidence output

CEO AI-native 90-day plan

Activities

  1. Review all integration evidenceReview all integration evidence for build the ceo ai-native operating plan.
  2. Prioritise the first 90 daysPrioritise the first 90 days for build the ceo ai-native operating plan.
  3. Submit the operating planSubmit the operating plan for build the ceo ai-native operating plan.
27
CAPSTONE

Day 27: Prepare the independent capstone

Review accreditation criteria and receive a new enterprise scenario without guided answers.

Why it matters

The capstone tests independent transfer across the complete CEO capability model.

Evidence output

Capstone preparation record

Activities

  1. Review the accreditation rubricReview the accreditation rubric for prepare the independent capstone.
  2. Inspect the capstone organisationInspect the capstone organisation for prepare the independent capstone.
  3. Declare your evidence strategyDeclare your evidence strategy for prepare the independent capstone.
28
CAPSTONE

Day 28: Capstone: diagnose and frame

Diagnose a multi-dimensional enterprise crisis and define the decisions the board requires.

Why it matters

Independent framing determines whether later AI work is relevant, safe and decision-ready.

Evidence output

Capstone decision architecture

Activities

  1. Review the capstone evidence roomReview the capstone evidence room for capstone: diagnose and frame.
  2. Frame the strategic and operational decisionsFrame the strategic and operational decisions for capstone: diagnose and frame.
  3. Submit the capstone decision architectureSubmit the capstone decision architecture for capstone: diagnose and frame.
29
CAPSTONE

Day 29: Capstone: decide and lead

Use AI, verify critical claims, resolve executive conflict and issue a board-ready decision.

Why it matters

This is the final demonstration of AI-native CEO performance under pressure.

Evidence output

Capstone CEO decision portfolio

Activities

  1. Run and challenge the analysisRun and challenge the analysis for capstone: decide and lead.
  2. Commit to the enterprise decisionCommit to the enterprise decision for capstone: decide and lead.
  3. Submit board communication and leadership planSubmit board communication and leadership plan for capstone: decide and lead.
30
CAPSTONE

Day 30: Accreditation review

Review the complete evidence portfolio, capability profile and assessor decision.

Why it matters

Accreditation confirms demonstrated CEO capability, not content completion or attendance.

Evidence output

AI Native CEO accreditation record

Activities

  1. Review portfolio completenessReview portfolio completeness for accreditation review.
  2. Confirm learner attestationsConfirm learner attestations for accreditation review.
  3. Receive accreditation decisionReceive accreditation decision for accreditation review.