The Art of AI Leadership: How ‘learning by DO-ing’ builds the basis for responsible tech management

How can companies make sure that their AI integration doesn’t become one of the
70 percent of transformations that typically fail? And how can they overcome employee resistance and equip their workforce with the skills needed to succeed in the AI era?

In our experience partnering with dozens of Fortune 500 companies and forward-thinking organizations, these questions are best answered by empowering people to be the drivers of change through programs that emphasize learning by doing: hands-on skills development through work on real-life business challenges. That’s why we’re launching new AI-focused programs featuring our award-winning DO Method to nurture responsible business leaders and activated, resilient employees.


Leadership Circle -

Empowered Leadership for the AI Era: We work with you to create an energy center where top leaders exchange across silos, share best practice, and benefit from valuable external input.

Intrapreneurship Academy -

Unlocking Purposeful Innovation in the AI Era: We co-create learning-by-doing programs that empower employees with the very skills they need to succeed in the AI era.

Transformation Accelerator -

Driving Change in the AI Era: Top talents are activated to become agile drivers of change by working on real-life use cases for your organization.

For responsible AI leaders, forget a course – form a club!

Managing the AI transformation responsibly requires commitment. Business leaders could sign up for an on-demand leadership course online, or bundle themselves off to an elite institution for a brief retreat. But we’ve found it’s far more effective to create an ongoing energy center for important topics such as AI integration. A kind of club with regular meet-ups bringing together cross-silo talents and external experts for meaningful exchanges. Done correctly, this Leadership Circle becomes a safe space for honest debates and impactful decisions.

To take the human-centric approach, say HI to AI

And by HI, we mean human intelligence as an answer to the challenges posed by AI integration. For responsible leaders, that means continuing to invest in reskilling and upskilling teams – providing credible evidence of a human-centric approach to technology that will be an enhancer – not a replacer – of people. As machines take over more mundane, repetitive tasks, people will have more time to focus on higher-value work that requires soft skills such as critical thinking, problem solving and creativity. That’s why hands-on learning in the form of real-life business challenges is at the heart of our employee development programs. We’ve seen how it naturally equips people with the very skills that are becoming even more relevant in the AI era.

The top skills for responsible AI leaders:


Transparent communication about your vision and values plus inspiring storytelling builds trust and credibility needed for successful AI implementation.


You don’t need to be an expert on AI. But being curious about how the tech works and staying informed about new developments will help you make good decisions about use cases.


AI implementation will bring organizational changes that require ongoing adaptability and resilience in leaders.


With big change comes big fear. Leaders need to be empathetic to employees’ concerns and equipped to navigate the ethical challenges of AI, such as privacy, bias and accountability.

The DO School
Cultivating leaders and empowering teams

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