Play: Transform Better is for executives, board members, and transformation professionals leading with clarity in times of uncertainty. Gain insights on digital transformation, AI adoption, and change management to turn bold visions into real, lasting impact. Each episode delivers actionable strategies to align teams around the right priorities and shared goals.
We tackle one of the biggest constraints holding back AI and digital transformation: capacity. While most organizations focus on hiring and external talent, the fastest path forward is often already inside the company.
This episode explores how a single, well designed question can uncover self taught AI and digital talent hidden across the enterprise and unlock transformation capacity in weeks, not quarters.
In this episode, you will learn:
• Why AI transformation stalls even when ideas and budgets are available• How one question reveals the 3 to 7 percent of employees driving real capability• What makes self taught, high agency talent different from traditional L&D participants• How executives can redeploy internal talent without creating shadow IT risks• The leadership commitments required to turn internal skills into measurable ROI• A real case where internal AI champions delivered margin improvement and cost reduction within weeks
If you are a CEO, CIO, CHRO, board member, or transformation leader, this episode offers a practical executive playbook to unlock hidden AI capacity and accelerate transformation using the talent you already have on the payroll.
9 Dec 2025
Rebuilding While Flying: Modernizing at Full Speed
In this episode, we examine one of the toughest leadership challenges today: modernizing core operating processes while the business is flying at full speed. Legacy systems were designed for control and predictability, yet in today’s volatile environment they create drag, block innovation, and disconnect teams from the customer. Leaders must effectively rebuild the engine mid-flight because landing the plane is not an option, and failing to act puts long-term competitiveness at risk.
This episode covers:
• Why legacy processes create inflexibility, customer friction, and operational bottlenecks
• What composable, modular, and data driven operating models enable in speed and resilience
• Real-world cases from Amazon, Domino’s, and ING proving mid-flight transformation is achievable
• How to start with small pilots, scale rapidly, and build cross-functional ownership
• Practical ways to overcome resistance and embed continuous improvement
If you are a CEO, COO, transformation leader, or board member, this conversation clarifies how to rebuild your operating model for speed, adaptability, and customer impact while the business keeps moving.
1 Dec 2025
AI Became Autonomous, Distributed, and Harder to Govern
November 2025 was the month AI became autonomous, distributed, and harder to govern.
This episode breaks down how eight major developments reshaped the AI operating model and what they signal for enterprise leadership.
In this episode:
• The global compute crunch and why it is forcing a shift toward hybrid and on-device AI
• Apple’s on-device generative models and the new privacy-first architecture emerging around them
• OpenAI’s expanded memory and early autonomous modes
• New research showing AI is accelerating work while fragmenting cross-team coordination
• The rise of synthetic employees inside customer operations
• Escalating AI-powered credential attacks and expanding enterprise attack surfaces
• Regulatory acceleration after a landmark UK ruling on training data
• Anthropic’s extended reasoning and tool-use capabilities reshaping decision support
If you’re a CEO, CIO, CISO, or board member, this episode clarifies how fast AI capabilities are shifting — and why your governance, architecture, and workforce decisions in 2026 will determine the value and risk balance of everything that comes next.
Reach and audience
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YouTube views
104,698
Score snapshot 15 Sept 2025
Podcast Authority Score: 45 / 100
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Quality
58
Social presence
0
YouTube
82
Engagement
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