Leading in the AI Era: A 10-Week Executive Program for Directors and C-Suite Teams

Every C-Suite team we work with says the same thing in different words: "We know AI matters. We are investing. But we do not have a shared framework for deciding what to do, how to govern it, or how to lead the organization through it."

A keynote will not close that gap. Structured learning over time will — with real business challenges, real coaching, and real accountability between sessions.

Delivered by ICF-credentialed coaches (MCC, PCC, ACC) with 40,000+ coaching hours across six continents since 2004. Built on the Integral methodology — the same framework that has guided leadership development for hundreds of organizations across banking, manufacturing, technology, and FMCG sectors. Based in Istanbul, delivering worldwide. Better Leaders Better Teams Better Organizations.

How It Works

Pre-Program: Discovery & Assessment (Week 0)
Before Module 1, we meet with the sponsoring executive and HR partner. We understand the organization's AI maturity, the leadership team's starting point, and what success looks like. Each participant completes a 360° AI Readiness Assessment — a baseline that makes the program personal, not generic.

Module 1: Foundations — Where Is the World? (1.5 Days Offsite)
The first module builds shared context. Leaders arrive with different levels of AI literacy, different assumptions about what AI can and cannot do, different fears and ambitions. Module 1 aligns them. The BANI landscape — Brittle, Anxious, Non-linear, Incomprehensible — frames how AI amplifies each dimension, using real cases like the SVB collapse in 72 hours to reveal which leadership teams had genuine systemic understanding and which were operating on borrowed confidence. Participants work through the Agentic Ladder — four levels of AI capability from Chatbot to AGI — to map where their organization actually sits versus where it thinks it is. Individual and team-level results from the pre-program 360° AI Readiness Assessment are debriefed, identifying alignment gaps and the most critical leadership challenges.

Between Modules: Structured Intersession Work (Weeks 2–4)
Each participant identifies a real AI challenge from their function — not a theoretical exercise, but an actual decision they need to make or initiative they need to lead. They work this challenge through the remaining modules, supported by 1:1 coaching with an ICF-credentialed coach, peer triads, and 24/7 access to our AI Coach System.

Module 2: Application — Your Seat, Your Decisions (1.5 Days Offsite)
Module 1 built shared context. Module 2 gets specific. The CxO Decision Architecture maps role-specific AI questions for every C-Suite seat — the CEO's strategic question is not the CTO's implementation question — then builds the connections between roles that prevent fragmented AI strategy. The AI Ambassadors Model addresses how to build internal AI capability without creating a shadow IT function. An Ethics and Governance Framework — not a compliance checklist, but a leadership framework — draws on cases like the Credit Suisse collapse, where governance failures were visible long before the final crisis. A Change Fitness Assessment reveals where resistance to AI-driven change will come from before it surfaces.

Between Modules: From Framework to Pilot (Weeks 6–9)
Participants design and begin implementing a small-scale AI pilot in their function — not a technology project, but a leadership experiment. How do you govern it? How do you communicate it? How do you measure success when the metrics are new? Peer coaching triads and continued ACS access provide real-time support as pilots generate real questions.

Module 3: Integration — From Insight to Roadmap (1.5 Days Offsite)
The final module converts 10 weeks of learning, practice, and experimentation into a concrete organizational output. Participants present their pilot results — what worked, what failed, what they learned about leading AI in their function. The Meaning Architecture connects AI transformation to organizational purpose: not "we are doing AI because everyone is doing AI" but why this transformation matters for this organization, these people, this mission. Each leader builds a 90-day AI Roadmap for their function, and the leadership team drafts a Governance Charter — the operating principles for who decides what, how ethical questions escalate, and how the organization learns from AI failures.

What Makes This Different

Most executive AI programs teach technology to leaders. We develop the leaders. The distinction matters.

A one-day briefing creates awareness. It does not change how a leadership team decides. A 12-month program demands a commitment most Directors and CxOs will not make. This program occupies the space that works: intensive enough to build real capability, short enough to respect executive calendars, structured enough — with intersession work, coaching, and peer accountability — to turn insight into organizational change.

Three specific differentiators no other program combines:

Coaching infrastructure between modules. 1:1 coaching with an ICF-credentialed coach (MCC, PCC, ACC), plus 24/7 access to our AI Coach System. The learning does not stop when the module ends. When a participant faces a real AI governance decision at 9pm on a Tuesday, support is available.

Proprietary assessment data. Our assessment system draws on 9,400+ proprietary data points across 393 participants — real benchmarks for leadership capability built from team diagnostics and training feedback. Participants do not just learn frameworks. They see where they stand against real data.

Integral methodology. Ken Wilber's 4-Quadrant framework applied to AI leadership — individual capability, interpersonal dynamics, organizational culture, and structural systems. AI transformation fails when leaders address only one dimension. We address all four.

Typical Engagement