Leaders looking for an immediate AI Transformation action plan this episode is for you, with a 6 step process breaking down into practical 30, 60, 90, and 180-day execution roadmap !

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In this episode of The AI Moment, Jonathan and I unpack the critical strategic mistakes preventing businesses from transitioning from casual experimentation to genuine, scaled AI integration.

Moving away from a purely tool-led approach, I introduce his structured 6-step methodology designed to treat AI implementation as a comprehensive business transformation.

Our discussion centres heavily on the practicalities of workflow mapping, highlighting the value of capturing ‘unknown knowns’ those undocumented processes that keep companies functioning but are rarely formalised.

I also outline my framework for identifying quick wins by categorising tasks into four distinct buckets: accelerate, optimise, cure, and kill.

Additionally, this episode stresses the necessity of senior leadership ownership, the application of clear risk frameworks to guide human judgment, and the deployment of agile, cross-functional SWAT teams to prevent departmental silos.

In this episode, Jonathan and I dive into the rapidly evolving world of open source AI models.

We explore why the industry is seeing a significant shift toward "open weight" models like Meta’s Llama / Meta AI (the names are changing rapidly) and China’s DeepSeek, particularly as businesses grapple with the "token budget crisis" where annual AI spend is being exhausted in mere weeks.

I argue that open source is not just a cost-saving measure but a strategic move for any leader who wants to maintain control over their data and their tech stack as venture capital subsidies for AI begin to dwindle.

The discussion highlights the trade-offs involved, including the critical need for governance.

While open source models offer incredible flexibility, they also require a "Verify and Validate" (The Two Vs) approach to manage potential biases and ensure output quality.

Whether you are a startup building a new product or an SMB to enterprise leader looking to optimise operations, this episode provides a roadmap for why and how to start integrating open source into your AI portfolio.

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Are you actually scaling AI in your business, or are you just scaling inconsistency?

In today's episode of The AI Moment, Jonathan and I sit down with author and digital coach Hannah Eisenberg to unpack why so many organisations are stuck in the trap of "scattered AI".

Hannah reveals that while many CEOs feel "AI forward" because of high ChatGPT or Claude adoption , they are often just scratching the surface and throwing tools at broken processes. True growth requires moving to "scaled AI" a methodology built on clean data and a deeply codified, corporate knowledge base that captures your unique "tribal knowledge".

Key Takeaways:

• The Tools Aren't the Problem: Success isn't about choosing Claude over ChatGPT; it’s about establishing a clear foundation of your brand's unique context, value proposition, and standards.

• The Trust Leader Method: Learn Hannah's 3-step framework to extract, structure, implement, and amplify your business workflows.

• The Reskilling Imperative: Why mass layoffs are a shortsighted mistake, and why CEOs must urgently reskill their teams to manage incoming agentic workflows.

Hannah highlighted how small businesses can leverage their agility to gain a massive competitive edge over slow-moving enterprises and thats something we do not hear about much at all!

Book & Contact Information

• LinkedIn: Hannah Eisenberg

• Free Tool: She offers a 15-question Foundation Scorecard online to check if a business is structurally ready to scale its AI.

• Upcoming Book: From Scattered to Scaled AI(Audiobook expected August 2026; Physical book launching October 1, 2026)