Executive AI Leadership Mastery Program

An 8-week cohort program for C-suite executives who need to make AI decisions, developed by the advisory team

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The Executive AI Knowledge Gap

Your board expects an AI strategy, but you're uncertain where to start or how to prioritize investments while ensuring compliance

You're reading about AI breakthroughs daily, but struggle to translate hype into actionable business strategy that meets regulatory requirements

Your technical teams speak a different language, you need to bridge the gap between AI capabilities and business value while navigating GDPR, EU AI Act, and ethical considerations

You've attended AI conferences and webinars, but still lack a structured framework for implementation that addresses data governance and stakeholder trust

You're concerned about making expensive mistakes, regulatory violations, or falling behind competitors who are moving faster

Your organization needs AI leadership from the top that understands both technical possibilities and compliance realities, but you don't have time for a traditional multi-year degree program

You need to build AI systems that are not only innovative but also ethical, compliant, and trusted by stakeholders

You do not have to become a data scientist to take an organization through an AI change. You do need a framework, ethical principles, a working knowledge of the relevant rules, time with other executives, and advisors who know both the technology and how a leadership team decides, including data governance, compliance, and stakeholder trust.

Introducing The Executive AI Leadership Mastery Program

This is not only an AI overview. It uses the team's frameworks, with 100+ years of combined experience, PhD-level AI research, 400+ scientific publications (Prof. Fakotakis' work), multinational operations experience, European data governance work, and business-change experience. It is for C-suite executives who need to make AI decisions and keep compliance in view.

The Executive AI Leadership Mastery Program is an 8-week cohort. In it you will:

Work with the program's strategic frameworks, including ethical AI implementation and regulatory compliance.

Learn to evaluate AI opportunities, assess vendor capabilities, ensure data governance compliance, and make confident technology investment decisions that meet GDPR, EU AI Act, and international standards.

Develop a comprehensive AI roadmap tailored to your organization's specific context, competitive landscape, regulatory environment, and stakeholder trust requirements.

Build lasting relationships with a curated peer network of fellow C-suite executives facing similar AI leadership challenges, including navigating compliance, ethical implementation, and sustainable business transformation.

Implement ethical AI frameworks using the proprietary "Know Your Data" (KYD) methodology to ensure transparency, accountability, and regulatory compliance.

The program runs for 8 weeks. It covers frameworks, tools, compliance topics, and time with the other participants.

What's Included in the Program:

✓ 8 Comprehensive Modules covering AI strategy, implementation, how a result is measured, ethical AI frameworks, data governance, and regulatory compliance

✓ 16 Live Faculty Sessions with Dr. Ioannis Syrigos, Prof. Nikos Fakotakis, Dimitris Vrachnos, Athanasios (Sakis) Serafeim, and Lucie Loiseau (2 sessions per week)

✓ Proprietary Strategic Frameworks including the AI Maturity Matrix, Value Bridge Framework, "Know Your Data" (KYD) Methodology, and Vendor Evaluation Toolkit

✓ Executive Peer Network - join a curated cohort of 15-20 C-suite leaders from diverse industries navigating AI transformation, compliance, and ethical implementation challenges

✓ Comprehensive Digital Workbook with templates, checklists, compliance frameworks, and planning tools you can immediately apply

✓ Case studies used in the program, including compliance and stakeholder questions

✓ Personalized Capstone Project - develop your organization's AI strategy including ethical guidelines and compliance roadmap with direct faculty guidance

✓ Executive Program Certificate

✓ 6 Months Post-Program Advisory Support,  quarterly office hours and email access to faculty for ongoing strategic, technical, compliance, and business growth guidance

✓ Alumni network access, including events, webinars, and later learning sessions

✓ Comprehensive Resource Library with continuously updated AI strategy tools, vendor evaluations, regulatory compliance guides, ethical AI frameworks, and industry reports

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Investment & Upcoming Cohorts

Fees and dates for the next cohort will be shared with everyone who registers interest.

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Meet Your Faculty:

The faculty is the advisory team: AI research, strategic thinking, operations, data governance, commercial delivery, and business change

Research background
400+ scientific publications and 40+ international R&D projects (Prof. Fakotakis' work) are part of the background for the strategies

Executive perspective
Company leadership experience is why the work includes board dynamics, budgets, and how an organization decides, not only the technology

Data governance
European data governance work, including GDPR and the EU AI Act, is part of the program so compliance is considered with the technical choices

Business change
25+ years of scaling organizations across Europe is the background for turning an AI plan into operating changes

Frameworks
The AI Maturity Matrix, Value Bridge Framework, and Know Your Data (KYD) method are how the work is structured

Five perspectives, one team
You work with strategy (Dr. Syrigos), technical method (Prof. Fakotakis), adoption and business change (Dimitris Vrachnos), commercial delivery (Sakis Serafeim), and data governance (Lucie Loiseau)

Dr. Ioannis Syrigos - Program Director & Strategic Advisor

PhD AI Research • MBA Strategic Management • Company leadership

Dr. Syrigos leads the program's strategic modules, His background is technical training and executive decision-making. His research looks at AI strategy frameworks for enterprise work.

Teaching Focus: AI Strategy Development, Executive Decision-Making, ROI Measurement

Prof. Nikos Fakotakis - VP of Operations & Technical Innovation Lead

400+ Scientific Publications • 40+ International R&D Projects • AI research and practice

Prof. Fakotakis brings four decades of AI research and practical implementation experience. He co-founded one of Greece's first AI companies and has led projects in natural language processing and machine learning.

Teaching Focus: Technology Architecture, Vendor Evaluation, Innovation Leadership

Dimitris Vrachnos - Strategic Growth & Business Development Advisor

25+ Years Business Transformation • International Markets Specialist • Executive Coach

Dimitris has more than 25 years of business transformation experience across Europe, including leadership roles at Allergan and L'Oréal. He founded UpMyBusiness and works as a business coach. At Nexus AI Advisory he leads business development and strategic growth. He works in English, French, and Japanese.

Teaching Focus: Strategic Growth & Business Development, Business Model Transformation, International Market Expansion

Athanasios (Sakis) Serafeim - Partner & Chief Commercial Officer

20+ years in production & hospitality management • BSc Dental Technology, Manchester Metropolitan University

Sakis makes sure an offer can be delivered. A business owner and managing director with more than 20 years in dental production and hospitality, he has run Architooth Dental Laboratory in Thessaloniki since 2009, where he introduced digital CAD/CAM workflows, and founded and ran a delicatessen and wine bar in Thessaloniki from 2020 to 2023. At NEXUS he owns client commercial relationships.

Focus: Commercial delivery, and whether an offer can be carried out

Lucie Loiseau - Data Governance & AI Ethics

Founder, Data Cash Solution • Board Member, French Tech Dublin & NeuraModal • IAPP Member

Lucie brings a distinctly European perspective on ethical AI implementation and regulatory compliance to the program. As founder of Data Cash Solution, she helps organizations across Ireland, France, Sweden, and broader Europe navigate complex data governance challenges while implementing AI systems that align with GDPR and the EU AI Act. Her proprietary "Know Your Data" (KYD) methodology provides executives with practical frameworks for evaluating data readiness and building ethical AI systems.

Teaching Focus: Data Governance & Compliance, Ethical AI Frameworks, Regulatory Strategy

8-Week Curriculum Overview:

A structured journey from AI fundamentals to confident leadership - designed specifically for C-suite executives

Module 1: AI Strategy Fundamentals
Week 1 | In-Person Kickoff

  • Understanding AI capabilities and limitations in business contexts
  • Separating AI hype from genuine opportunity
  • Industry-specific AI applications and competitive landscape analysis
  • Introduction to the AI Maturity Matrix framework
  • Data governance foundations and ethical AI principles

Deliverable: Your organization's preliminary AI opportunity assessment

Module 2: The AI Maturity Matrix
Week 2

  • Assessing your organization across 5 critical dimensions
  • Identifying capability gaps and quick-win opportunities
  • Building your AI readiness roadmap
  • Data readiness assessment using the "Know Your Data" (KYD) methodology 

Case study: Company maturity transformation

Deliverable: Completed AI Maturity Assessment for your organization

Module 3: Strategic Use Case Prioritization
Week 3

  • The Value Bridge Framework for ROI evaluation
  • Prioritizing AI initiatives using strategic criteria
  • Balancing short-term wins with long-term transformation
  • Risk assessment and mitigation strategies
  • Ethical considerations and compliance risk evaluation
  • Business model transformation and sustainable growth strategies

Deliverable: Prioritized AI use case portfolio with ROI projections

Module 4: Technology Architecture & Vendor Selection
Week 4

  • Understanding AI technology stacks and infrastructure requirements
  • Build vs. buy vs. partner decision frameworks
  • Vendor evaluation toolkit and negotiation strategies
  • Avoiding common technology selection pitfalls
  • GDPR, EU AI Act, and data governance compliance in vendor evaluation 

Deliverable: Technology architecture blueprint and vendor shortlist

Module 5: AI implementation
Week 5

  • Change management strategies for AI adoption
  • Building cross-functional AI teams and governance structures
  • Managing stakeholder expectations and securing buy-in
  • Communication frameworks for board and leadership
  • Building stakeholder trust through ethical AI frameworks and transparency
  • Stakeholder engagement and cross-functional alignment

Deliverable: Implementation roadmap with governance structure

Module 6: Measuring Success & Demonstrating ROI
Week 6

  • Defining success metrics and KPIs for AI initiatives
  • Building dashboards for executive visibility
  • Calculating and communicating ROI to stakeholders
  • Continuous improvement and iteration strategies
  • Measuring ethical AI performance and compliance metrics
  • Translating AI metrics into business performance and revenue impact

Deliverable: Success metrics dashboard and ROI tracking framework

Module 7: Industry Applications & Competitive Intelligence
Week 7

  • Deep-dive into industry-specific AI applications
  • Competitive analysis and benchmarking strategies
  • Identifying sustainable competitive advantages through AI
  • Future-proofing your AI strategy
  • Cross-border data operations and international regulatory landscape
  • International market expansion and competitive positioning with AI

Deliverable: Competitive intelligence report and differentiation strategy

Module 8: Capstone & Implementation Planning
Week 8 | In-Person Capstone

  • Presenting your comprehensive AI strategy to peers and faculty
  • Receiving expert feedback and refinement guidance
  • Building your 12-18 month implementation timeline
  • Developing board presentation materials
  • Finalizing your ethical AI and data governance framework
  • Creating sustainable business growth roadmap

Deliverable: Board-ready AI strategy presentation and 18-month roadmap

Program Format

Time Commitment: 6-8 hours per week

  • 2 hours: Live faculty sessions
  • 2-3 hours: Self-paced learning and readings
  • 1-2 hours: Peer discussions and cohort collaboration
  • 1 hour: Office hours (optional)

In-Person Components:

  • Week 1: 2-day kickoff (immersive learning and cohort bonding)
  • Week 8: 2-day capstone (strategy presentations and graduation)
  • Location: TBD (travel and accommodations not included)
  • Virtual participation option available for those unable to travel

Cohort Size: 15-20 executives (intentionally small for personalized attention)

Who should apply for this program?

This program is designed specifically for C-suite executives and senior leaders (CEOs, COOs, CFOs, CTOs, Chief Strategy Officers, Chief Innovation Officers, VPs of Digital Transformation) who are responsible for guiding their organizations through AI transformation.

You don't need technical AI expertise, that's not the goal. You need strategic frameworks, executive decision-making tools, and peer learning from other leaders facing similar challenges.

  • This program is NOT for:
    Technical practitioners (data scientists, ML engineers)
  • Mid-level managers without strategic decision authority
  • Consultants seeking to add AI to their service offerings

Applications are reviewed for role and fit. The cohort is kept to about 15-20 people.

How much time will I need to commit?

Plan for 6-8 hours per week over 8 weeks:

  • Live Sessions: 2 hours/week
  • Self-Paced Learning: 2-3 hours/week
  • Peer Collaboration: 1-2 hours/week
  • Optional Office Hours: 1 hour/week

Plus two in-person sessions:

  • Week 1 Kickoff: 2 days (strongly recommended)
  • Week 8 Capstone: 2 days (strongly recommended)

If you can't travel for in-person sessions, virtual participation is available, though we strongly encourage in-person attendance for maximum cohort bonding and learning impact.

Total program investment: approximately 50-65 hours over 8 weeks.

What makes this program different from other AI executive education?

Five things the program includes:

1. Faculty: advisors with PhD-level AI research (400+ publications, Prof. Fakotakis' work), MBA training, and company leadership experience.

2. Frameworks: the AI Maturity Matrix and Value Bridge Framework, alongside 40+ international R&D projects (Prof. Fakotakis' work).

3. Peer group: cohorts of about 15-20 C-suite leaders.

4. Each module has a deliverable you can take back to the organization. The capstone is a draft AI plan.

5. After the 8 weeks: 6 months of advisory support and alumni access, as described above.

Can I bring my team?

Absolutely—and we encourage it!

Benefits of team enrollment:

  • Aligned strategic frameworks across your leadership team
  • Common language for AI discussions and decisions
  • Stronger organizational change capability
  • Collective problem-solving during the program
  • More effective post-program implementation
  • Dedicated team coaching session included

Teams typically include combinations of CEO/CFO/CTO, or Chief Strategy Officer + Chief Innovation Officer + Chief Operations Officer.

What is the refund policy?

We offer a tiered refund policy:

  • Before Week 2: Full refund (100%)
  • Weeks 2-4: 50% refund
  • After Week 4: No refunds

To qualify for any refund, you must have:

  • Attended all scheduled sessions up to the refund request
  • Completed all assignments and exercises
  • Actively participated in cohort discussions

The refund steps are there so someone can leave early if the program is not the right fit.

Is this program recognized? Do I get a certificate?

Yes. On completion you receive an Executive Program Certificate from Nexus AI Advisory.

The certificate requires:

  • Attendance at 14+ of 16 live sessions (or viewing recordings within 48 hours)
  • Completion of all 8 module deliverables
  • Presentation of capstone AI strategy project

The certificate records that the sessions, deliverables, and capstone were completed.

What if I can't attend live sessions?

All live sessions are recorded and available within 2 hours. You can watch on your schedule and still participate in cohort discussions asynchronously.

However, we strongly encourage live attendance whenever possible because:

  • Real-time interaction with faculty is invaluable
  • Peer learning happens in live discussion
  • The cohort bonding that makes this program powerful requires presence

If you expect to miss more than 4 live sessions, we recommend deferring to a future cohort when your schedule allows fuller participation.

Admission Requirements & Application Process:

Applications are reviewed for role and fit. The cohort is kept to about 15-20 people.

Ideal Candidates:

✓ C-suite or senior leadership position (CEO, COO, CTO, CFO, Chief Strategy/Innovation/Digital Officer)

✓ Strategic decision-making authority for technology investments

✓ Organization with 50+ employees

✓ Budget authority or direct influence over AI investment decisions

✓ Commitment to implementing AI strategy within 12 months

Application Process:

Step 1: Submit Application (10 minutes)
Complete our online application including your role, organization context, and AI leadership goals.

Step 2: Application Review (3-5 business days)
Our admissions team reviews your application and organizational fit.

Step 3: Qualification Call (20 minutes)
Brief conversation with our team to ensure program alignment with your needs.

Step 4: Enrollment Confirmation (1-2 business days)
Once accepted, secure your spot with enrollment deposit.

Applications are reviewed on a rolling basis. The next cohort dates will be announced to people who register interest.

Register your interest

If you want the frameworks and a cohort of about 15-20 people, register your interest. Dates are sent to people who register.

Cohorts are kept to about 15-20 people.

The next cohort dates will be announced to people who register interest.

Register your interest

Schedule a Program Consultation

By booking you agree to our Terms and our Privacy Policy

Our Refund Policy

Refund terms:

Before Week 2: Full refund (100%)
If after the first week you feel the program isn't right for you, we'll refund your full tuition.

Weeks 2-4: 50% refund

If during weeks 2-4 you need to withdraw, you'll receive a 50% refund of your tuition.

After Week 4: No refunds

After Week 4, no refunds are available as you've accessed the majority of program materials and faculty time.

Refund Requirements:

To qualify for any refund, you must have:

  • Attended all scheduled sessions up to the refund request (or viewed recordings within 48 hours)
  • Completed all assignments and exercises
  • Actively participated in cohort discussions

The terms above are the refund. They are not a satisfaction score.