Leading the AI-Native Organization
A 1-day working session for senior leaders who need to move from AI ambition to aligned strategy. Build the fluency to make confident investment decisions, govern AI responsibly, and lead your organization through the shift – not just talk about it.
Looking to upskill your team(s) or organization?
Willemijn will gladly help you further with custom training solutions.
Willemijn Geuze
Academy Sales Lead Benelux
What will you learn?
Most senior leaders aren’t struggling with the technology itself – they’re struggling with how to lead their organization through AI-driven change. This course gives you the frameworks, shared language, and decision-making tools to turn scattered AI initiatives into a clear, executable strategy.
Across five practical modules, you’ll assess where your organization stands today, identify your highest-value AI opportunities, get your governance house in order, and leave with a concrete 30-60-90 day roadmap your team can act on immediately.
Key takeaways
- A shared AI lexicon so your leadership team is speaking the same language.
- An honest baseline of your organization’s AI-Native maturity across strategy, workforce, governance, data, and culture.
- A clear picture of your three risk buckets: legal, operational, and brand.
- A workforce upskilling plan – who needs to become AI-Native first and how.
- An AI Money Map: your AI initiatives ranked by value with named owners.
- A 30-60-90 day AI Leadership Roadmap ready to execute the day after the session.
Program
This is a facilitated, highly interactive working session – not a lecture. It’s designed to be run in-company with your leadership team (C-suite, directors, VPs, and transformation sponsors), either as a single full day or split across two half-day blocks.
Each module builds on the last, moving from understanding to decision-making. You’ll be working with real data from your own organization, not hypothetical case studies.
Build a shared executive AI lexicon (LLMs, GenAI, RAG, agents) and move beyond the hype to focus on P&L impact. Diagnose your organization’s AI-Native maturity across strategy, workforce, governance, data, platforms, culture, and agility – so you’re starting from an honest baseline, not assumptions.
Assess your real exposure across the three buckets of risk: Legal (Hard Lines), Operational (Silent Killers), and Brand (Trust Eroders). Define the guardrails, ownership, and human-in-the-loop workflows your organization needs to operate AI responsibly – and commit to the first 90 days of your Responsible AI Governance & Risk Plan.
Shift your workforce from passive tool users to active value creators. Define who needs to become AI-Native first, shape a realistic upskilling plan (AI-Native Foundations and Change Agents), and explore what human-centric AI leadership actually looks like in practice – including where your current planning and funding practices are getting in the way.
Reframe the technology conversation from features to capital allocation. Evaluate the trade-offs between buying (Walled Gardens) and building (Open Frontiers), align on platforms that are good enough to start, and understand why your data quality and operational AI infrastructure – not your tools – are the real ceiling on your AI performance.
Turn strategy into action. Build your AI Money Map – a value-ranked portfolio of AI initiatives linked to clear P&L hypotheses – and leave the session with a unified 30-60-90 day leadership roadmap that names owners, accelerates your highest-value initiatives, and explicitly pauses lower-priority work.
Who is it for?
This course is designed for leadership teams where AI initiatives have been approved but aren’t moving – where too many meetings surface more questions than decisions, and where the gap between AI ambition and AI execution keeps growing.
Ideal participants:
• C-suite executives, Directors, VPs, and senior leaders who oversee teams, budgets, or transformation programs.
• Business unit leaders, PMOs, and transformation sponsors seeking to align AI initiatives with strategy and P&L impact.
• Anyone who must evaluate, approve, or manage AI initiatives across the enterprise.
Requirements:
No prior AI knowledge or technical background required.
Participants should hold a leadership role with budget, people, or transformation responsibility.
Laptop or tablet recommended for digital working materials.
No prerequisite certifications required – this is a Foundation-level course.
Why should I do this training?
Make decisions, not just plans
Walk out with an AI Money Map and leadership roadmap that has owners, timelines, and clear next steps – not another strategy deck that sits in a drawer.
Get your leadership team aligned
Build a shared AI lexicon so your C-suite is working from the same definitions and can make faster, more confident investment calls.
Know what’s actually at risk
Get a clear-eyed view of your legal, operational, and brand exposure – and put governance in place that enables speed without inviting liability.
Exam and Certification
After completing the working session, you will be eligible to take the online multiple-choice certification exam, included in the course price. The exam must be conducted within 60 days of the training.
Please note that attendance of the full day is mandatory to participate in the exam.
If you pass, you will receive the industry-recognized AI-Native Organization Leader certification from Scaled Agile, Inc.
What does it look like?
What else should I know?
After registration, you’ll receive a confirmation email with all the practical details for your session.
Course information
For in-person sessions, lunch and refreshments are included. Remote sessions are run as facilitated virtual working sessions – details on setup and digital tools will be provided in advance.
Travel and accommodation expenses are not included.
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