The AI Moment Podcast - The AI Bite-Sized Podcast For Executives & Business Leaders

AI
Written By Danny Denhard

Welcome to the AI moment podcast. Jonathan Wagstaffe and I work in the AI space and throughout AI workshops and speaking engagements, we both encountered similar questions and asks for help from business leaders and C-Suite leaders, so we thought what better way than creating an 8-minute podcast that lands in your podcast player twice a week.

It’s deliberately a pick-your-own journey podcast, meaning you can listen from episode 1 and each episode or if something comes up you have encountered or need help with you can select one our AI podcasts to help you.

I’ll be updating this post with every release, offering the pod, the listener notes and linking to the tools etc we discuss and share. Where possible, i’ll be complementing with videos and embeds so you see exactly what we discuss.

Please subscribe below to your favourite player or platform of choice.

Pod + Newsletter

We are now live on Substack, where I create a dedicated newsletter to go with each podcast.

It includes all the necessary links, key notes, and shares walkthroughs where needed. Moving forward Substack is the home with all of the podcasts.

Sign up below to listen to each podcast and receive a short and sharp accompanying newsletter.

Episode 1: Read Me First - The Intro Podcast

Thanks for listening to the AI Moment podcast today. 

This episode is introducing AI Moment podcast series by Danny Denhard and Jonathan Wagstaffe. The podcast is focused on AI implementation for businesses. 

Danny & Joanthan identified common themes from their work with organisations of all sizes: business leaders understand AI's importance but struggle with where to start, which tools to use, and how to implement it practically.

The podcast addresses recurring concerns including - 

  • tool selection 

  • security 

  • data protection 

  • ownership 

  • cost management 

  • team transitions 

Why for leaders? Leaders find AI complicated, constantly evolving, and potentially expensive, often worrying about doing it wrong and having to restart.

The series offers bite-sized 7-8 minute episodes designed for busy professionals who can't commit to hour-long AI podcasts. Each episode tackles one specific aspect of AI implementation, combining Jonathan's market experience with Danny's hands-on work with C-suite executives and department heads.

AI Moment podcast targets anyone from AI beginners to those already using basic tools like email writing who want to expand their capabilities, providing actionable takeaways. 

Want to connect with Danny Denhard & Jonathan Wagstaffe

Do you have feedback or questions email us ai@dannydenhard.com 

Remember to hit follow or subscribe in your favourite podcast app and if you would like to help spread the word, please share the AI Moment podcast or rate and review the podcast. 

Episode 2: Learn AI In 5 Days - 5 Day AI Plan Podcast Shownotes

Thanks for listening to the AI Moment podcast today. 

Danny and Jonathan focus on practical advice for executive beginners on their AI journey

They recommend starting with a simple approach: choose one AI tool (ChatGPT, Claude, or Gemini), create a free account, and install it on your phone so its always at your finger tips.

Danny suggests a structured five-day learning plan:

  • Day 1: Ask "Help me understand X about Y" with a real business problem - Danny uses Product pricing as his example 

  • Day 2: Plan a team offsite or meeting - ask AI to help you plan a specific offsite and make it actionable 

  • Day 3: Brainstorm solutions - brainstorming is often a use cases many users rely on AI for 

  • Day 4: Request different approaches to existing challenges - this is the use case that unlocked AI for many at a recent AI workshop Danny held 

  • Day 5: Create templates for repetitive tasks - templates and frameworks are usually created for you and something most will never create themselves   

Jonathan emphasises starting with personal, non-work topics to build comfort with AI tools - like workout plans, recipes, or book recommendations. 

He also highlights using natural language and voice commands on mobile apps.

Danny and Jonathan stress the importance of testing, learning, and evaluating AI responses for truthfulness and trustworthiness. Danny 3T’s are time, trust and truth. Save you time if you trust the answers and find them truthful enough to put your name to. 

The core executive takeaway is to experiment with AI tools gradually, moving from personal use to professional applications while building confidence through hands-on experience. You won’t unlock the best uses of AI on the first try but having a plan with 5 actions to take will build confidence in using them and in the tools in general. 

Links for tools mentioned: 

Want to connect with Danny Denhard & Jonathan Wagstaffe

Do you have feedback or questions email us ai@dannydenhard.com 

Remember to hit follow or subscribe in your favourite podcast app and if you would like to help spread the word, please share the AI Moment podcast or rate and review the podcast. 

Episode 3: Pro Tips For AI Beginners Shownotes

Thanks for listening to the AI Moment podcast today. 

This conversation between Danny and Jonathan covers essential AI tips for executives and business owners.

Jonathan emphasises that AI prompting uses natural language - no special syntax required. 

However, generic prompts like "write me a marketing plan" produce generic results. Better outcomes require providing context: upload company documents, share business plans, or explain your specific situation before asking for help.

Key techniques shared include:

  • Tell the AI what role to play ("you are an expert lawyer")

  • Specify your target audience ("explain this to an intelligent 15-year-old")

  • Use voice input for faster interaction, especially for busy executives

  • End prompts with "ask me clarifying questions if unclear"

  • Cross-prompt between different AI tools (ChatGPT, Claude, Gemini) for varied perspectives

Danny highlights using AI for executive summaries and thought organization through voice dictation. Both recommend starting with personal use cases (recipes, Airbnb hosting) to build comfort before workplace applications.

The core executive takeaway: AI excels at providing clarity of thought and reshaping concepts, typically delivering 6-7 out of 10 results that you can refine further.

Links for tools mentioned: 

Want to connect with Danny Denhard & Jonathan Wagstaffe

Do you have feedback or questions email us ai@dannydenhard.com 

Remember to hit follow or subscribe in your favourite podcast app and if you would like to help spread the word, please share the AI Moment podcast or rate and review the podcast. 


Episode 4: AI Policies Versus Manifestos Podcast - What's Your AI Manifesto? 


Thanks for listening to the AI Moment podcast today. 

In this podcast we tackle the hot topic of AI policies vs AI manifestos. 

Why? Standard AI policies are often restrictive, focusing on what employees cannot do. While necessary for legal and IT security, these "dumb" policies can stifle innovation and encourage "shadow AI"—the secret use of unapproved tools.

We recommended our solution: to create an "AI manifesto" alongside the policy. 

Why? 

  • A manifesto is a proactive and visionary document that outlines how the company will use AI to achieve its goals. 

  • It acts as a set of encouraging guardrails, defining opportunities, aligning with company values, and promoting experimentation within safe boundaries.

This dual approach empowers teams in departments like marketing and sales to innovate responsibly. 

The core executive takeaway: By first establishing a vision and guiding principles with a manifesto, companies can foster a positive and productive AI culture, ensuring the technology is used effectively and safely, rather than being driven underground by fear of breaking rules.

Want to connect with Danny Denhard & Jonathan Wagstaffe

Do you have feedback or questions email us ai@dannydenhard.com 

Remember to hit follow or subscribe in your favourite podcast app and if you would like to help spread the word, please share the AI Moment podcast or rate and review the podcast. 

 

Episode 5: AI Integrations Not So Fast Podcast Show Notes

Thanks for listening to the AI Moment podcast today. 

This conversation between Danny and Jonathan discusses new AI integrations, highlighting ChatGPT's connections with HubSpot and Google Docs.

Jonathan explains the significant opportunities these integrations create: analysing CRM data to identify prospects similar to successful customers, interrogating Google Docs for insights, and using AI to understand communication styles from email exchanges. 

Danny shares the example of the Netflix's CMO using ChatGPT for 360 reviews as an executive example.

A key benefit is potentially improving CRM data quality - salespeople may be more motivated to input accurate data if they see AI can surface valuable opportunities from it.

However, both emphasize critical security considerations. Users must disable model training in ChatGPT settings and consider turning off conversation memory. 

Danny stresses using corporate accounts rather than personal ones to maintain organizational control and security.

The core executive takeaway: these integrations offer powerful data analysis opportunities but require proper security setup and corporate governance to avoid "Shadow AI" risks while maximising benefits safely.

Links for tools mentioned: 

Want to connect with Danny Denhard & Jonathan Wagstaffe

Do you have feedback or questions email us ai@dannydenhard.com 

Remember to hit follow or subscribe in your favourite podcast app and if you would like to help spread the word, please share the AI Moment podcast or rate and review the podcast. 

Episode 6: ChatGPT5 Launch & First Thoughts 

Thanks for listening to the AI Moment podcast today. 

On "The AI Moment" podcast, hosts Jonathan Wagstaffe and Danny Denhard discuss their initial thoughts on the recent release of ChatGPT-5 and other AI models.

ChatGPT-5 Key Points:

  • Simplification: OpenAI has merged its various models into a single ChatGPT-5, simplifying the user interface. An auto-selector feature now analyses the prompt and chooses the appropriate processing model, leading to greater use of its "deep thinking" capabilities.

  • Legacy Access: After initial backlash, OpenAI has allowed users to revert to older models like GPT-4.

  • Performance: The new model feels quicker, and token usage is cheaper.

  • Expectations vs. Reality: The update is seen as an incremental improvement rather than the "game-changing step change" many anticipated.

  • Accuracy: OpenAI claims it hallucinates less, but Danny & Jonathan both stress the continued need for human verification. Getting accurate results requires more precise context in prompts. The model is also reportedly less overly agreeable than previous versions. Remember the 3Ts - time you need to invest into the output, truth - how truthful is the answer and trust - do you trust the output enough to put your own name and reputation on it

General AI Market & Advice:

  • Claude has also reduced its prices, following suit with OpenAI. It’s a race to the bottom in terms of pricing 

  • The hosts note that the AI landscape is a constant "arms race," meaning the "best" model changes frequently and depends on the specific task.

  • The main advice for users is to experiment with different platforms (ChatGPT, Claude, etc.) to find the one LLM you prefer. They emphasise treating AI like a "junior coworker" whose work must be verified for accuracy and truthfulness before use.

Want to connect with Danny Denhard & Jonathan Wagstaffe

Do you have feedback or questions email us ai@dannydenhard.com 

Remember to hit follow or subscribe in your favourite podcast app and if you would like to help spread the word, please share the AI Moment podcast or rate and review the podcast. 

Episode 7: The AI Demo Reality Check 

Thanks for listening to the AI Moment podcast today. 

On "The AI Moment" podcast, hosts Jonathan Wagstaffe and Danny Denhard discuss the reality of the cool AI demos and why they are still misdirections.  

The Exec Summary 

AI demonstrations are creating unrealistic expectations across enterprises. While the technology showcases impressive capabilities, the gap between polished demos and practical implementation involves significant technical complexity, time investment, and costs that aren't immediately apparent. Business leaders need to recalibrate expectations while maintaining strategic experimentation.

Key Findings

The Demo Deception: The viral AI-generated videos and applications you're seeing aren't quick afternoon projects. They represent numerous hours of specialised work and substantial financial investment. Even with identical prompts, results vary dramatically between attempts, requiring extensive iteration and technical expertise to achieve desired outcomes.

Technical Reality Check: Despite advances in no-code tools and AI assistance, building functional applications still demands high-level technical skills. Frontend development may be simplified through tools like Claude, but backend integration, infrastructure, and deployment remain complex challenges requiring specialised knowledge.
Example of great opportunities using tools but struggles in reality

Hidden Costs & Complexity: Beyond development, successful AI implementations require traditional business fundamentals: go-to-market strategies, app store submissions, user acquisition, and ongoing operational costs. Tools like Veo3 for video generation carry premium pricing, while automation platforms (n8n, Make.com, Zapier) involve recurring expenses that scale with usage.

Market Dynamics: The accessibility of AI tools will likely create a proliferation of micro-applications targeting niche use cases. However, most will fail to achieve sustainable user bases or revenue models due to underestimating operational requirements and market validation needs.

Strategic Recommendations

  1. Immediate Actions: Demand business cases before approving AI projects • Implement MVP/prototype phases to validate feasibility • Budget for technical expertise, not just tool subscriptions • Set realistic timelines accounting for iteration cycles

  2. Risk Management: Avoid making strategic decisions based solely on demo content • Account for prompt variability and inconsistent outputs • Factor ongoing operational costs into ROI calculations • Maintain backup strategies for mission-critical processes

  3. Organisational Approach: Continue encouraging experimentation while managing expectations. The technology trajectory remains positive, but implementation success requires traditional project management discipline combined with technical realism.

  4. The bottom line: AI capabilities are advancing rapidly, but the gap between demonstration and deployment remains significant. Smart leaders will experiment strategically while avoiding the trap of assuming demo-level results can be achieved quickly or cheaply in production environments.

Want to connect with Danny Denhard & Jonathan Wagstaffe

Do you have feedback or questions: email us ai@dannydenhard.com 

Remember to hit follow or subscribe in your favourite podcast app and if you would like to help spread the word, please share the AI Moment podcast or rate and review the podcast. 


Episode 8: AI Truth & Who Says What Truth Is

Thanks for listening to the AI Moment podcast today.

The Executive Summary

The AI Moment podcast series continues with episode 8, we focus on the critical and often overlooked issue of truth in the age of artificial intelligence.

Jonathan and I express concerns over the increasing influence of governments and corporations in defining what AI platforms present as factual information.

We highlight recent examples from both China and the US.

We argue that this trend threatens to undermine the reliability of AI as a tool for business and society.

The Full Rundown

  • We warn that as AI becomes more integrated into our daily lives, the manipulation of information could have profound consequences, from influencing consumer decisions to shaping political discourse.

  • The concept of "truth" within AI and who gets to define it will be the battle for the next few years and consumers and businesses only win if its not controlled at government level (we don’t want to be controlled by Trump’s truth) or by the mega tools like Google and OpenAI or even by Elon Musk’s opinion in Grok. Grok had issues with Nazi content and replies.

  • Jonathan emphasises a hugely important point, that for AI to be a truly valuable tool, particularly in the business world, its outputs must be trustworthy and accurate. Also pointing to concerning developments, such as a Chinese AI model DeepSeek, providing neutral or evasive answers to questions about government policy, suggesting state influence in answers and how they tackle questions. More alarmingly, he notes recent US legislation aiming to give the government a say in what AI platforms deem true, as well as corporate influence, citing an instance where Elon Musk's Grok was reportedly programmed to reflect his opinions.

  • I echo Jonathan’s concerns, observing the growing trend of AI platforms being used to determine the truthfulness of information on social media. I highlight the danger of relying on systems like Grok or Perplexity by mentioning them is this truthful on X and Perplexity have integrated into WhatsApp making it easy to engage with. With these platforms their algorithms are not transparent and often tweaked when something is found out or reported on which makes me question can you trust any output without fact checking yourself.

  • This issue is compounded by the fact that a significant portion of users already trusts AI models more than traditional search engines. 
    With the recent stat 3 in 10 already trust LLMs over traditional search.

  • We discussed the potential real-world consequences of this battle for "truth." This raises the scenario of a business being unfairly labelled as "bad" by an AI, leading to significant financial repercussions. 

  • For consumers, relying on AI agents for recommendations could mean missing out on the best products or services if the AI's information is biased.

  • Jonathan frames the current situation as the "wild west" of AI, similar to the early days of social media. He predicts that just as bad actors exploited social media for political manipulation, they will do the same with AI. 

  • We conclude with a call to action for their listeners: be critical of the information provided by AI, especially when it pertains to commercial or political matters.

  • We recommend that listeners to stay and remain vigilant, critically evaluate the information they receive from AI, and stay informed about the evolving landscape of AI governance.

  • We stress the importance of staying informed about the power dynamics at play between governments, tech giants, and the public in shaping the future of AI and truth and as ever, we will keep you posted of anything important 

If you found this pod useful or were forwarded, please subscribe here or below to your favourite player or platform of choice.

Thanks for listening and we will see you at the end of this week tackling “Are We In An AI Bubble Already?”. 


Danny Denhard
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