Hello and welcome back to The AI Moment. In today's episode, Jonathan and I dive deep into a topic that's critical for every leader right now:

How AI is reshaping our teams, departments, and overall organizational design

It’s not a question of if this will happen; my belief is that it's already underway.

We're entering a period where department leaders will have to reorganize based on new AI tools and workflows.

This pressure isn't just coming from the top—from leadership or investors—but also from the ground up, as teams discover what these tools can do.

If you got to newsletter aimoment.co.uk there is a template you can fill out for your company or drop me an email ai@dannydenhard.com I will send you a personal copy.

As Jonathan rightly points out, it's not that AI will replace jobs, but it will absolutely replace tasks. This means we must use AI to "supercharge" and augment what our teams do

One major takeaway from this shift, as I see it, is that many specialists will need to become generalists. And this is an opportunity for the company but also for team members.

To help you get practical, I shared a few exercises I use with leadership teams to future-proof their strategy:

• The 'Circles' Model: This involves drawing concentric circles to map which teams will be 'Powered by AI' (in the centre), 'Assisted by AI', 'Using AI', or have 'Limited AI' impact (on the outer ring).

  
  

• User Journey Mapping: I also recommend mapping your customer's complete journey and then identifying every single point where an AI agent or bot could assist them.

  
  

• To help you properly visualise these frameworks, I've included diagrams and visuals in our supporting newsletter.

  
  

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  📣 Danny & Jonathan

Hello and welcome to The AI Moment! I’m (Danny Denhard) back with Jonathan for episode #31 on this episode we tackle one of the biggest challenges in AI right now: moving from hype to practical, safe adoption.

In my workshops with large companies, I see a major gap. Leaders are pushing a top-down mandate to "go optimise with AI," but teams haven't been given the guardrails. This leads to "shadow AI," where sensitive data is being uploaded to public tools without oversight.

To fix this, I introduced my "3 T's" framework, a simple model for anyone to evaluate AI tools and outputs.

1. TIME: This is the obvious one. Does it save you time or free you up for more important work? It's what draws us all in, but it's also a trap.

2. TRUTH: Is the output truthful? We all know AI hallucinates. If you just copy and paste without checking, you’re creating what Jonathan brilliantly calls "AI slop." You must be the human-in-the-loop.

3. TRUST: This is a two-part, critical question. First, do you trust the output enough to put your own name and reputation on it? Second, do you trust the tool with your private or company data?

The core takeaway is that this framework helps you move from being an "AI sheep" someone who just uses AI for speed, to an "AI lion," using it to critically augment your skills.

Your Call to Action:Think about the last AI tool you used. Run it through the 3 T's. Did it pass?

For a deeper dive and more frameworks like my "Two V's" (Verify and Validate), make sure you subscribe to our supporting newsletter, which comes out every Monday and Friday. You can find it at aimoment.co.uk.

And finally, if you found this episode useful, please leave us a rating and review on your podcast player.

It makes a huge difference. Thanks for listening!

Danny Denhard

Our Daily AI Tools & AI Tool Stack

Ever wondered which AI tools we actually use every day?

It's a question Jonathan and I get all the time, so in this week's episode, we're pulling back the curtain and walking you through our personal AI stacks.

I share my Google-heavy workflow 👀, explaining how I lean on Gemini for everything from deep research to drafting these very show notes.

I also discuss a tool that's been a complete game-changer for me personally: Elevenlabs. As someone with dyslexia, the ability to listen back to my writing to catch errors and check the flow has been transformational for my productivity and confidence.

Jonathan offers a different perspective, diving into his go-to tools like ChatGPT and Descript. He shares an incredible example of how Descript allowed him to turn raw video footage into a fully polished, captioned piece of content in just one hour, a job that would have previously taken a couple of days.

But our biggest takeaway for you is this: don't feel you need to use every tool out there.

We explain why it’s more effective to pick one primary large language model, whether it's Gemini, ChatGPT, or Claude, and really master it for your own workflow.

AI Tools Mentioned:

• Google Gemini

• Claude (Anthropic)

• Comet (Perplexity AI Browser) - here’s my personal invite for you

• Dia (AI Browser) - here’s my personal invite for you

• NotebookLM (Google)

• Elevenlabs

• Grammarly

• Google AI Studio

  • I have two apps you can try out yourself - (1) dannydenhard.co.uk/aistudio to mock up ads in 6 different environments like bus stops, Times Square, football stadiums etc and (2) 6x frame storyboard dannydenhard.co.uk/aistudio2

• Riverside

• Descript

• ChatGPT (OpenAI)

• HeyGen

• Copilot (Microsoft)

For a deeper dive and a complete list of all the tools mentioned, make sure you subscribe to our supporting newsletter at aimoment.co.uk. It goes out every Monday and Friday with the pod.

And if you enjoyed this episode, we'd be incredibly grateful if you could leave us a rating and review on your podcast player of choice. It truly helps us reach more people.

Cheers, Danny