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ORBii.Academy
Data & AI Acculturation · Smart Program · 2026
Program Card · 3 Levels · All Audiences → Experts
Data & AI
Acculturation
the Smart Way
Building a Data & AI culture across the entire organization. Not just another training program — a structured 3-level program to transform every employee into an informed participant in the data transformation, GenAI, and agentic AI revolution.
Why this program is different
01Grounded in real business cases — not academic theory
02Progressive: from frontline employees to the Executive Committee, everyone has their own learning path
03Covers GenAI and agentic AI — not just traditional data
04Measurable: adoption KPIs, self-assessments, internal certification
Executives & Executive Committee
Business Managers
Frontline Employees
Data Owners & Stewards
CIO & CDO
Pejman Gohari · CDO · Chief AI Officer · ORBii
DUNOD Author 2020/2022/2024 · Professor IESEG Business School
academy.orbii.tech
ORBii.Academy · Data & AI Acculturation · Smart ProgramConfidential · 202601
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Data & AI Acculturation · 02
The Problem
Why 70% of Data acculturation programs fail
« Sending a 45-minute e-learning module to 5,000 employees is not acculturation. It is internal communications disguised as training. Acculturation means changing behaviors — not slides. »
— Pejman Gohari · CDO · Chief AI Officer · ORBii
The 5 classic mistakes
✕
Mistake #1 — The one-shot. A 2-hour inspirational talk followed by nothing. Result: enthusiasm on Monday, forgotten by Friday. No lasting change in practices.
✕
Mistake #2 — The all-technical approach. Explaining neural networks to sales teams. Acculturation is not scientific popularization — it is empowering everyone to act in their daily work.
✕
Mistake #3 — No segmentation. The same content for the CEO and the frontline operator. Neither finds value. The CDO and the CIO lose credibility.
✕
Mistake #4 — No measurement. No adoption KPIs. You don't know who understood, who changed, who is blocking. Without measurement, no steering.
✕
Mistake #5 — Ignoring GenAI. In 2026, an acculturation program that does not cover GenAI and agentic AI is already obsolete. Employees are already using these tools — with or without a framework.
What field studies reveal
Key figures
73%
of organizations have no structured data acculturation program (Gartner 2024)
18–36
months minimum to stabilize a data culture within an organization (Cigref 2023)
4×
higher ROI on AI projects when business teams are acculturated vs. non-acculturated (McKinsey 2024)
62%
of employees already use GenAI without an official framework — creating uncontrolled Shadow AI
The real question for the CDO / CIO
Acculturation is not an HR program. It is a strategic lever that directly determines:
ROIReturn on investment of Data & AI projects
RiskShadow AI control and data quality management
ComplianceAdherence to EU AI Act, GDPR, DORA
CompetitivenessAbility to deploy GenAI and AI agents at scale
ORBii.Academy · Data & AI Acculturation · Smart ProgramConfidential · 202602
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Data & AI Acculturation · 03
Program Architecture
3 Levels — From frontline employees to the Executive Committee
1
Awareness — All Employees
½ dayE-learning + Workshop
Give every employee the keys to understand why data matters to them, what AI concretely means in their daily work, and the basic habits to adopt.
Module A · Data Made Tangible
What business data is. Why every entry matters. The 4 types of data. The impact of an error on AI decisions and reporting.
Module B · AI Demystified
What AI can actually do (and cannot do). GenAI in 10 minutes. Concrete use cases in my role. What "a model makes mistakes" means.
Module C · My Best Practices
The 8 daily data habits. What I can (and cannot) submit to an LLM. My Data Owner and Data Steward — who to contact.
Target — 100% of workforce over 24 months
Deliverable — Self-assessment quiz + Printable A5 checklist
2
Data & AI Practitioner — Business & Project Teams
2 days + 90-day coachingIn-person + Case Studies
Train employees directly involved in producing or consuming data to become autonomous: data catalog, quality, responsible GenAI, first prompts.
Data Catalog & Quality
Use and contribute to the data catalog. Define quality rules. Document a domain dictionary. Understand lineage.
Responsible GenAI
Write a structured prompt. Evaluate the reliability of an AI response. GenAI usage policy. The 5 mistakes that expose the company.
My AI Business Case
Identify an AI use case within your scope. Assess feasibility. Build a mini business case. Pitch it in 5 minutes.
Target — 20–30% of workforce (future Data Citizens)
Deliverable — "Data Citizen" accreditation + Documented use case
3
Data & AI Leader — Executives, Data Owners, CDO/CIO
5 days over 3 monthsCoaching + Seminar
Equip decision-makers with the ability to steer the Data & AI transformation: governance, EU AI Act, agentic AI strategy, ROI business case, target operating model.
Governance & Compliance
Role of the Data Owner. Data Committee. EU AI Act (Art. 5, 25, 50). DORA. AI risk appetite. Group GenAI policy.
AI & Agentic Strategy
Data & AI master plan. Maturity. Target Operating Model. Agentic AI: N1 to N4 agents. "Build vs Buy vs Agent" decision framework.
Business Case & Steering
Build an ROI business case. Executive Committee dashboard. Maturity KPIs. Quick wins. Digital sovereignty scorecard.
Target — Data Owners, Executive Committee, CDO, CIO, DPO
Deliverable — Customized 12-month roadmap
ORBii.Academy · Data & AI Acculturation · Smart ProgramConfidential · 202603
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ORBii.Academy
Data & AI Acculturation · 04
Target Competencies
Competency Matrix — What each level must master
| Competency |
Level 1 · Awareness |
Level 2 · Practitioner |
Level 3 · Leader |
| Data Culture |
Understand that data is an asset. Know the 4 types of data. |
Use the data catalog. Contribute to the data dictionary for their domain. |
Steer the data strategy. Lead the Data Owners network. Measure maturity. |
| Data Quality |
Recognize poor-quality data. Report anomalies. |
Define quality rules. Manage a remediation plan. Understand lineage. |
Define the group quality policy. Arbitrate definition conflicts. Executive Committee reporting. |
| GenAI & Prompting |
Know what GenAI can (and cannot) do. The 3 absolute prohibitions. |
Write structured prompts. Evaluate reliability. Follow the GenAI policy. |
Define the group GenAI policy. Assess risks. Select solutions. |
| Agentic AI |
Understand what an AI agent is in 2 sentences. Concrete examples. |
Identify an agentic use case within their scope. Assess feasibility. |
Define the agentic strategy. Decision framework. Agent governance. |
| Compliance & Ethics |
Know GDPR and banking secrecy in daily work. The 3 data items never to share. |
Apply data classification. Document processing activities. Alert the DPO. |
Lead EU AI Act compliance. Define AI risk appetite. Build the AI registry. |
| Governance |
Know their Data Owner and Data Steward. Use the right system. |
Participate in the domain committee. Contribute to the catalog. Champion use cases. |
Lead Data & AI governance. Build the Target Operating Model. Annual report to the Board. |
📍
Key principle: Each level fully includes the competencies of the previous level. A Data & AI Leader must be able to do everything a Practitioner can do — plus steering competencies. A Practitioner must master Level 1 basics before accessing Level 2.
Mapping to ORBii Academy learning paths
Level 1 → Understand Path
Modules C1 to C4 from the ORBii Academy catalog. Practical cards, quizzes, best-practice checklists.
C1 · Data Culture
C2 · Understanding AI
C3 · Responsible GenAI
C4 · Agentic AI
Level 2 → Governance Path
Modules G1 to G4 + detailed data modules D3 to D6. Hands-on training with certification.
G2 · Data Governance
M3 · Business Culture
M5 · Responsible GenAI
Level 3 → Executive Path
Modules M1 to M8 + Sovereignty MA to MK. Comprehensive program for CDO, CIO, Executive Committee.
M7 · Agentic AI
M8 · Master Plan
G1 · Enterprise Governance
ORBii.Academy · Data & AI Acculturation · Smart ProgramConfidential · 202604
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Data & AI Acculturation · 05
Deployment
5-Phase Deployment Plan — 24 Months
| Phase |
When |
Key Actions |
Deliverables |
Success KPIs |
| ① Assessment |
M1–M2 |
Maturity self-assessment · Resistance mapping · Ambassador identification · Internal benchmark |
Maturity report · Persona map · Communication plan |
100% managers assessed · Baseline maturity score established |
| ② Pilot |
M3–M5 |
2 pilot units (Levels 1+2) · Ambassador training · First guided GenAI use cases |
Validated training kit · 15 trained ambassadors · GenAI policy v1 |
80% pilot satisfaction · 10 use cases identified |
| ③ Rollout Wave 1 |
M6–M12 |
Level 1 for 50% of workforce · Level 2 for priority functions · Level 3 for Executive Committee |
E-learning deployed · 200+ certified Data Citizens · Monthly Data Committee active |
50% Level 1 completed · 20% Data Citizens accredited · NPS > 40 |
| ④ Rollout Wave 2 |
M13–M20 |
Level 1 for 100% of workforce · Level 2 expansion · GenAI community of practice |
100% awareness achieved · Active community (monthly meetups) · AI use case catalog |
80% Level 1 · 30% Data Citizens · Bi-monthly AI Committee |
| ⑤ Anchoring |
M21–M24 |
Integration into onboarding · Annual refresh · ROI impact measurement · Permanent internal certification |
HR-integrated program · Annual ROI report · "Data-Driven Organization" label |
Maturity L3+ · Data culture measured in engagement survey |
⚠️
Common pitfall: Attempting to deploy all 3 levels simultaneously across the entire organization. Data acculturation takes 18 to 36 months to stabilize. It cannot be accelerated through intensive communications over 3 months. The quick wins from the pilot politically fund the rest of the program.
✓
Visible Executive Committee sponsorship. The CEO or an Executive Committee member opens every Level 3 session. Without a sponsor, the program is perceived as "an IT department initiative."
✓
Field ambassadors. Identify 10–15 champions per unit who relay, facilitate, and escalate feedback. They are the ones who create momentum.
✓
Real business cases. Each module is built on the organization's own data and challenges — never on generic examples.
✓
Continuous measurement. Pre/post quizzes for each level. Monthly dashboard shared with the Executive Committee. NPS per module. Completion rate per unit.
✓
GenAI as an accelerator. Use GenAI to personalize learning paths, generate adaptive quizzes, and create tailored case studies.
✓
HR integration. Embed acculturation levels into annual reviews, job descriptions, and onboarding. Without HR anchoring, the program fades away.
ORBii.Academy · Data & AI Acculturation · Smart ProgramConfidential · 202605
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Data & AI Acculturation · 06
Steering
KPIs & Dashboard — Measuring What Matters
The 12 Data & AI acculturation KPIs
| KPI | 12-Month Target | 24-Month Target |
|---|
| % Level 1 completed | 50% | 90% |
| % Certified Data Citizens | 15% | 30% |
| Data Owners trained at Level 3 | 80% | 100% |
| Average training NPS | > 40 | > 50 |
| Documented AI use cases | 20 | 60 |
| % employees using data catalog | 10% | 35% |
| Reported anomalies / month | +200% | +400% |
| Data maturity score (Cigref) | L2 | L3 |
| Shadow AI incidents | -30% | -70% |
| Compliant GenAI prompts | 60% | 85% |
| Data & AI meetup attendance | 50/session | 120/session |
| Data culture score (engagement survey) | Baseline | +15 pts |
Executive Committee Dashboard — Summary View
Monthly reporting — Recommended format
●●●○○
Overall acculturation maturity — Score 3/5 (improving)
↗ +12%
Monthly progression of Level 1 completion rate
⚠ 3
Units behind deployment plan (< 30% completion)
142
Data Citizens accredited this quarter (cumulative: 340)
Recommended reporting frequency
Weekly · CDO / CIO
Completion rate per unit. Shadow AI incidents. Qualitative feedback from ambassadors.
Monthly · Executive Committee
1-page summary dashboard. Maturity score. Alerts. Quick wins delivered. ROI of initial AI use cases.
Quarterly · Board of Directors
Data maturity report. EU AI Act compliance. Acculturation progress vs. plan. Budget consumed.
ORBii.Academy · Data & AI Acculturation · Smart ProgramConfidential · 202606
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Data & AI Acculturation · 07
2026 Focus
GenAI & Agentic AI — The Topic No One Can Ignore
« The greatest risk of 2026 is not that AI will replace your employees. It is that your employees will use AI without understanding what they are doing — and that no one in the organization will notice. »
— Pejman Gohari · CDO · Chief AI Officer · ORBii
Shadow AI — The Invisible Threat
In 2026, most employees have access to ChatGPT, Copilot, Gemini, or Claude. Without a framework, they submit confidential data, make decisions based on hallucinations, and create content with no traceability.
The 5 Absolute GenAI Prohibitions
①Never submit personally identifiable customer data to an external LLM
②Never use a GenAI response without verification for a regulatory decision
③Never deploy AI-generated code to production without a security review
④Never share a prompt containing classified information
⑤Never present AI-generated content as human-authored without disclosure
The 4 Levels of Agentic AI Autonomy
N1 · AssistantOperational
AI answers a question. The employee decides and acts. Example: internal FAQ chatbot.
N2 · Copilot2025–2026
AI proposes an action. The employee validates. Example: automated report drafting with human validation.
N3 · Supervised Agent2026–2027
AI executes a complete task with periodic human supervision. Example: claims processing agent.
N4 · Autonomous Agent2027+
AI orchestrates multiple tasks without direct human intervention. Governance and guardrails are critical.
What each level must know about GenAI
| Topic | Level 1 | Level 2 | Level 3 |
|---|
| Prompting | Understand that a well-written prompt changes everything | Write a structured 5-part prompt | Define prompt templates for the organization |
| Hallucinations | Know that AI can fabricate facts | Systematically verify critical responses | Implement technical guardrails |
| Data & LLMs | The 3 data items never to submit | Classify data before GenAI usage | Data policy for GenAI and agents |
| EU AI Act | Know that AI is regulated | Understand transparency obligations | Lead EU AI Act compliance |
Decision Framework — "Can I use GenAI here?"
✓
Public or anonymized data → GenAI authorized
!
Internal non-sensitive data → Internal GenAI only (Copilot, on-prem solution)
✕
Confidential / PII / regulatory data → GenAI prohibited except with CDO exemption
💡
GenAI acculturation is not optional. It is the first line of defense against Shadow AI. Without a framework, the organization bears the risks without reaping the opportunities. With a framework, it transforms every employee into a responsible and productive user.
ORBii.Academy · Data & AI Acculturation · Smart ProgramConfidential · 202607
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Data & AI Acculturation · 08
Summary & Next Steps
Data & AI acculturation is the foundation of every successful transformation
3
Progressive levels
Awareness → Practitioner → Leader. Every employee has a learning path tailored to their role.
24
Months of deployment
A realistic 5-phase plan, from assessment to embedding in the corporate culture.
12
Steering KPIs
Measurable, reportable to the Executive Committee, grounded in operational reality.
The 3 Concrete Next Actions
1
Launch the self-assessment
Use the ORBii Academy Navigator to evaluate your maturity level and identify priority learning paths.
2
Identify 2 pilot units
Choose one willing unit and one skeptical unit. The quick wins from the pilot fund the rest of the program.
3
Book a scoping workshop
Half-day session with CDO, CIO, CHRO, and an Executive Committee representative to validate the 24-month roadmap.
« The Data & AI transformation fails when it is driven solely by technology. It succeeds when it is driven by people. Acculturation is the first investment — the one that makes all others profitable. »
— Pejman Gohari · CDO · Chief AI Officer · ORBii
academy.orbii.tech
Programs · Learning Paths · Practical Cards · Self-Assessment · AI Navigator
Pejman Gohari · ORBii
pejman@orbii.tech
ORBii.Academy · Data & AI Acculturation · Smart ProgramConfidential · 202608
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Decision Card Catalog · 09
Full Catalog Preview
45 Premium Decision Cards
Each card: 8 A4 pages, Newsreader × Geist Mono editorial design, real-world cases, actionable deliverables, integrated regulations.
Covers · Understand & Governance Paths
ORBii.Academy
Module C1 · ½ day
Data Culture
for Business Teams
Understand data without being a data scientist. Identify the key data assets in your scope.
ORBii.Academy · C1 · 2026
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Module C2 · ½ day
Understanding
Artificial
Intelligence
What AI can do. What it cannot do. What is really changing.
ORBii.Academy · C2 · 2026
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Module D3 · 1 day
Data
Governance
in Practice
Data Catalog, quality, lineage, domain dictionary.
ORBii.Academy · D3 · 2026
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Inner Pages · Premium Editorial Design
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Section 2 · Competencies
Target Competency Matrix
🔒
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Section 4 · Steering
KPIs & Executive
Committee Dashboard
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Module M7 · Agentic AI
AI Agents:
the 4 Levels
of Autonomy
N1 · Assistant
N2 · Copilot
N3 · Supervised Agent
N4 · Autonomous Agent
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