Leadership Learning Path · Level 4

Leading in the
Age of AI

From the strategic framework to operational decisions — what every executive must master

6 modules designed for Executive Committee members, Board directors, and senior leaders. No code, no technical jargon — informed decisions, robust governance, and strategic clarity on how agentic AI will reshape their organization.

D1 · Understanding AI D2 · Governing D3 · Decision & Ethics D4 · Sovereignty D5 · Agentic AI & Org ✦ New D6 · Leadership & Decisions
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Learning Path Overview
6
Modules
3d
Total Duration
0
Tech. Prerequisites
Executive Committee
Audience
Target Audience
CEO · CDO · CIO · CAIO · Business Division Leaders · Board Members
D1Understanding AI Without Getting Lost in Jargon ½d
D2Governing Data and AI ½d
D3Augmented Decision-Making & Ethics ½d
D4Digital Sovereignty ½d
D5Agentic AI & Transformation new ½d
D6Master Plan & Strategic Leadership ½d
Sequence · 6 modules · 3 days

A strategic narrative thread

Each module addresses a question every executive must be able to resolve — without delegating to the IT department. From reading AI to governing agents, through to decisions on organization and skills.

D1
Step 1 · Foundations   All executives
Understanding AI Without Getting Lost in Jargon
What AI really is, its actual limitations — and the executive's posture in the face of a technology that will keep accelerating.
½ day ▾
Program
What AI is — and is not
  • The AI landscape — ML, GenAI, Agentic AI
  • The 3 limitations every executive must know: hallucination, bias, opacity
  • What AI decides on its own vs what it cannot — today
The executive's posture
  • The 5 questions the Executive Committee must be able to ask their AI teams
  • Decoding an AI project — without being misled by technical metrics
  • Balancing between "trusting" and "demanding proof"
Executive Deliverables
  • 🗺️
    AI Landscape — Executive Committee Edition
    ML / GenAI / Agentic AI — one page, three technologies, the right questions to ask
  • 🔍
    AI Project Assessment Framework
    5 key questions to evaluate an AI project without technical expertise
  • ⚠️
    The 3 Limitations — Executive Brief
    Hallucination, bias, black box — concrete implications for executive liability
View Full Module Details →
📖
Self-Learning Module Available
Self Learning — Understanding AI Without Getting Lost in Jargon
→
understand → govern
D2
Step 2 · Governance   CEO · CDO · Board EU AI Act
Governing Data and AI
The chain of responsibility, the Board's role in data governance, and what DORA / EU AI Act concretely impose at the executive level.
½ day ▾
Program
Chain of responsibility and roles
  • 3 levels of governance — Board, Executive Committee, operational
  • What the Board must see, approve and reject regarding data and AI
  • The CDO / CAIO — what decision-making scope, what delegation?
Executive regulatory obligations
  • EU AI Act — what triggers personal liability for executives
  • DORA — specific obligations for financial Executive Committee members
  • Data & AI Maturity — 5 levels, where to position your organization
Executive Deliverables
  • 🏗️
    3-Level Governance Framework
    Board · Executive Committee · Operational — who decides what, who approves, who reports
  • ⚖️
    EU AI Act Executive Responsibilities
    What personally binds executives — list of non-negotiable obligations
  • 📊
    Data & AI Maturity Assessment
    5 levels — Executive Committee self-assessment to position the organization
View Full Module Details →
📖
Self-Learning Module Available
Self Learning — Governing Data and AI
→
govern → decide with AI
D3
Step 3 · Augmented Decision-Making   All executives EU AI Act Art.13-14
Augmented Decision-Making & AI Ethics
Where AI helps in decision-making, where the executive must retain control — and the ethical framework to avoid exposure.
½ day ▾
Program
How AI changes decision-making
  • Augmented decision-making — where AI delivers value, where it creates risk
  • Algorithmic bias — how it forms and who bears responsibility
  • The right to explanation — concrete obligations for high-risk systems
Operational ethics for executives
  • Ethical decision framework — 8 questions before deploying an AI system
  • Real-world dilemmas — when there is no clear-cut right answer
  • What the Executive Committee must explicitly approve for sensitive AI projects
Executive Deliverables
  • ⚖️
    AI Ethics Decision Framework
    8 systematic questions — to be validated by the Executive Committee before any sensitive AI deployment
  • 🧩
    Human / AI Decision Matrix
    What can be delegated to AI, what the executive must retain — by domain
  • 📋
    Art.13-14 EU AI Act Checklist
    Explainability and human oversight requirements — executive edition
View Full Module Details →
📖
Self-Learning Module Available
Self Learning — Augmented Decision-Making & AI Ethics
→
decision → strategic mastery
D4
Step 4 · Strategic Mastery   CEO · CIO · CISO DORA · NIS2
Digital Sovereignty — Executive Committee Perspective
Cloud Act, vendor dependencies, ICT concentration risks — what the executive must arbitrate on their organization's sovereignty.
½ day ▾
Program · Sovereignty Overview
Dependency challenges
  • Cloud Act vs GDPR — why this is an Executive Committee decision, not IT
  • ICT concentration risk — the systemic threat that DORA addresses
  • Algorithmic sovereignty — when the AI belongs to your vendor
The decisions to make
  • Sovereignty assessment — 9 dimensions and their Executive Committee scoring
  • 18-month roadmap — where to act first (impact x effort)
  • Sovereignty leadership KPIs — CDO/CIO dashboard
Executive Deliverables
  • 🔭
    Executive Committee Sovereignty Radar
    9 scored dimensions — consolidated view for investment prioritization
  • 🗓️
    18-Month Sovereignty Roadmap
    Impact x effort matrix — actions prioritized by regulatory urgency level
  • 📈
    CIO/Executive Committee Sovereignty Dashboard
    Leadership KPIs — cloud dependency, DORA/NIS2 compliance, concentration risk
View Full Module Details →
📖
Self-Learning Module Available
Self Learning — Digital Sovereignty
→
mastery → organizational transformation
New Module · 2026
D5
Step 5 · Agentic Transformation   Exclusive 2026 Executive Committee · CHRO · Business Division
Agentic AI — What Will Change in Your Organization
This groundbreaking module answers the question every Executive Committee must already be asking: when AI agents become actors in your processes, what needs to transform — in the organization, skills, roles, and culture?
½ day ▾
I. From assistant to agent — the organizational disruption
🏢
Organization
  • Teams no longer coordinate humans alone — they orchestrate humans and agents
  • Emergence of hybrid roles: Agent Product Owner, Agent Supervisor
  • The span of control expands — a manager can oversee 10x more tasks
  • Organizational silos become obstacles to orchestration
  • The project model gives way to AI-native continuous flow organization
⚙️
Processes
  • Sequential human processes become parallel human-agent orchestrations
  • Process Mining becomes essential before any agentic automation
  • Decisions that were "common sense" must be made explicit to be delegated to an agent
  • HITL (human-in-the-loop) checkpoints redefine accountability
  • The audit trail becomes mandatory — every agent action must be traceable
🎓
Team Training
  • Technical training is no longer enough — teams must learn to work with agents
  • New skills: advanced prompting, agent supervision, log reading
  • Managers must understand what an agent can and cannot do
  • A test-and-learn culture is essential — the agent improves, so do the teams
  • Vigilance training: detecting when the agent drifts or makes errors
🧠
Skills
  • High-volume repetitive skills migrate to agents
  • Higher-value skills gain prominence: judgment, creativity, relationships, exception handling
  • Emergence of the "Orchestrator" profile — a key new non-technical role
  • The ability to describe a process precisely becomes a critical skill
  • Adaptability becomes the most strategic skill to develop
II. Emerging roles — what executives must anticipate
Emerging Role Responsibilities Key Skills Urgency
Agent Product Owner
 Defines the objectives, constraints and guardrails for each deployed AI agent Process mapping Prompting Risk assessment Immediate
Agent Supervisor
 Monitors agent outputs in production, escalates anomalies Log reading Business judgment Exception handling Immediate
Hybrid Workflow Orchestrator
 Designs workflows combining humans and agents, manages checkpoints Process design BPMN AI Governance 6 months
AI Ethics Officer (Operational)
 Validates agentic use cases on ethical and regulatory grounds EU AI Act Applied ethics Legal risk 12 months
Augmented Team Manager
 Manages teams where some "members" are autonomous AI agents Adaptive leadership AI culture Change management 12–18 months
III. The 5 decisions your Executive Committee must make in 2026
DECISION 01
Appoint a CAIO or extend the CDO's mandate
Who on the Executive Committee is accountable for agentic AI? Dedicated role or shared responsibility?
DECISION 02
Identify priority "agentifiable" processes
Which high-volume, low-risk workflows with explicit rules should be delegated to agents first?
DECISION 03
Invest in reskilling before deployment
Will the teams operate the agents — or face the change unprepared?
DECISION 04
Establish the agentic governance policy
Who approves agent deployment to production? What risk thresholds trigger a halt?
DECISION 05
Define a clear vision for the human role in the augmented organization
Does agentic AI augment or replace? The answer determines everything: culture, recruitment, employee relations, and the innovation license teams grant themselves.
View Full Module Details →
📖
Self-Learning Module Available
Self Learning — Agentic AI & Transformation
→
transformation → strategic leadership
D6
Step 6 · Strategic Leadership   CDO · CIO · Executive Committee
Master Plan, TOM & CDO Leadership
From maturity assessment to a 3-year roadmap, from ROI business case to the leadership dashboard — the learning path's synthesis workshop.
½ day ▾
Program
Building the vision & the roadmap
  • The maturity model — where does your organization stand across the 5 levels?
  • The Target Operating Model — the Data & Agentic AI target organization
  • The 3-year roadmap — from identification to scale-up
Lead and decide
  • The ROI business case — how to justify the investment to the Board
  • KPIs and CDO dashboard — what truly matters
  • Workshop · Laying the Foundations of your Data & AI Master Plan
Executive Deliverables
  • 🎯
    Self-Assessed Maturity Model
    5 levels x 6 dimensions — positioning and progression plan for the Executive Committee
  • 🗺️
    Data & Agentic AI TOM Blueprint
    Target organization incorporating teams augmented by agents
  • 💰
    ROI Business Case — Board Edition
    Narrative and financial structure to defend the investment at the Board level
  • 📊
    CDO/Executive Committee Dashboard
    Strategic KPIs — data quality, AI adoption, compliance, ROI, sovereignty, agentic progression
View Full Module Details →
📖
Self-Learning Module Available
Self Learning — Master Plan, TOM & Leadership
→
"Agentic AI does not challenge an organization's strategy — it challenges its ability to execute. It is the processes, roles, and skills that must evolve first."
ORBii.Academy · Module D5 · 2026
D1Understanding AI
→
D2Governing
→
D3Decision & Ethics
→
D4Sovereignty
→
D5 ✦Agentic AI & Org
→
D6Leadership & TOM
3 days
Total Duration
Tailored · Executive Committees & Senior Leaders
A learning path designed for decision-makers
This learning path is designed to be delivered in-company, in a confidential format adapted to Executive Committee schedules. It can also be sequenced in half-day sessions over several weeks. Module D5 is available as a standalone executive conference (2h).
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