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The AI agent space is genuinely confusing. This episode brings structure and simplicity to the space Top Tips

AI Agent Landscape Decoded – Claire & Greta

  • April 7, 2026April 7, 2026
  • by Claire

Are you hearing about AI agents everywhere right now? Whether it’s their presence in the software you use daily, special purpose or task “agents”, or customer service “agents”, it’s safe to say they are the topic ‘du jour’. 

In this week’s episode, we segment this confusing landscape and cut through the hype to help you make more sense of it all.

After weeks of interviewing guests across different corners of the agentic AI world, we realised the market has become genuinely bewildering, even for us! Vendors are slapping the word “agent” on almost anything, and it’s getting harder to tell what’s substantive and what’s marketing.

Listen in to hear about the simple framework we’ve developed to bring clarity to the whole ecosystem. It maps out the key choices facing any business considering agents, the questions you should be asking, and where the real risks are quietly hiding.

Regardless of whether your organisation is ready to start experimenting with agents or not, this episode will help you take the first steps when you are ready. As they say, when you can see something clearly, your decisions become easier.

In this episode you’ll learn:

  • The four very different ways to bring agents into your organisation — and why the question isn’t “which is best?”
  • Why some of the SaaS tools you already pay for might quietly be putting you in a “hostage situation”
  • What a team of Harvard, MIT and Stanford researchers just uncovered about one of the most hyped agent platforms on the market
  • The layer of the agent ecosystem where the real cyber security risks live
  • Four sharp questions to ask any vendor before letting their agent anywhere near your data and systems

Enjoy this practical and jargon-light guide to a topic that isn’t going away anytime soon.

 

 

Useful Links

  • McKinsey / Quantum Black report: Seizing the agentic AI advantage
  • Capgemini report – ‘Rise of Agentic AI’
  • MIT Sloan & BCG Report – Leading in the age of AI Agents (useful for Governance and structuring once you’ve made agentic decisions)
Image of the interviewee Patrick Forth Interview

AI on the Org Chart – Patrick Forth

  • March 13, 2026March 16, 2026
  • by Claire

What does it actually mean to have a colleague who never sleeps, never calls in sick, and can hold thousands of conversations at once? Not in theory but right now, in real organisations?

Our guest this week is Patrick Forth, an Group Executive Director at FutureSecure AI,  a company that builds what they call AI co-workers: sophisticated agentic systems that sit on org charts, have names and personas, and are managed much like human employees. 

Patrick shares what some of the AI co-workers they’ve built so far actually do in enterprises today and what it takes to get them working inside organisations.

In this episode you’ll hear:

  • About the AI co-worker managing thousands of scheduling conversations on WhatsApp
  • Why their AI co-workers focus on complex, high-return use cases rather than simple automation 
  • Patrick’s take on the job loss debate
  • How one organisation puts humans and AI co-workers on the same org chart just in different colours, and 
  • Whether AI co-workers should be treated like software or like colleagues.

If you want a glimpse into the possible future of your workplace and colleagues then enjoy this episode with someone who’s at the coalface helping companies choose use cases and deploying AI co-workers right now…

 

 

Useful Links

FutureSecure AI website 

Patrick Forth on LinkedIn

Interview

AI at the Speed of Trust – Ann Maya

  • August 7, 2025
  • by Claire

Our guest this week gets straight to the heart of what actually makes AI work in practice: seamless data integration and moving at what she calls “the speed of trust.”

Ann Maya is the EMEA Chief Technology Officer at Boomi, a company that connects applications, devices, and systems to help organisations navigate digital transformation. With over 20 years in software—from developer to solution architect to senior leadership—Ann has a rare ability to bridge technical complexity with business reality.

In this conversation, we explore why most organisations struggle to scale AI beyond pilots, and why the answer isn’t just about the technology itself. Ann shares:

  • How a container ship insurance company transformed their underwriter workflow from three days to 15 minutes—and why their legal team immediately wanted in
  • Why she believes your company’s data is your “competitive secret sauce” and how to protect it while still leveraging AI’s power
  • The psychology behind why change happens at “the speed of trust” and how smart companies bring their people along on the AI journey
  • Real examples of what she calls “creative destruction”—and why the next revolution might come from the most unexpected places

Ann also reveals how Boomi has embedded 11 different AI agents into their own platform and shares a fascinating perspective on the current AI race: who’s winning, who’s getting left behind, and what you can control when everything feels like it’s moving at breakneck speed.

Whether you’re wondering how to turn AI skeptics into advocates or trying to understand why your organisation’s data strategy matters more than ever, this conversation offers practical insights from someone who’s helping companies navigate this transformation every day.

Enjoy this episode with the innovative and customer-focused Ann Maya. 

 

Links 

Ann on LinkedIn

Boomi home page

Boomi – Discover 

Bonus Episode

Pulse Check on AI’s Global Rollout

  • June 27, 2025June 28, 2025
  • by Claire

We’re not long back from attending the AI Summit in London – the headline event for London Tech Week. And so this week’s episode is all about sharing the sometimes surprising key insights we took away. 

The Summit brought together an incredible cross-section of nationalities, perspectives, and industries, giving us what felt like a real-time pulse check of where AI stands right now. We were there on your behalf, identifying amazing leaders and securing some fantastic upcoming guests for the show.

In this episode, we share our biggest takeaways from the event – and we suspect at least one of them will challenge what you might expect about AI’s current impact in the business world.

What you’ll hear:

  • The surprising reality about AI’s bottom-line impact in most organisations 
  • Why even the biggest companies are missing a crucial strategic opportunity with their AI approach
  • The coming wave of autonomous AI Agents and what this means for how we’ll all be working soon, 
  • Some rare ‘behind the curtain’ examples of how some of the most forward thinking businesses are applying AI, and . . . 
  • The fascinating cultural divide we observed between how Europeans and Americans are talking about AI’s impact on jobs.

We also explore why so many AI pilots are failing to scale, the risks of unauthorised AI tool usage in workplaces, and what successful AI deployment actually looks like when companies think beyond just automating existing processes.

If you’ve been wondering whether your organisation is behind the curve with AI, or if you’re curious about what’s really happening beyond the hype, this episode offers some much-needed perspective from the front lines of the AI world around the globe.

 

Useful Links

The AI Summit London

McKinsey report on the ‘Gen AI Paradox’

How To Episode

Practical AI Use Cases You Can Try Today

  • March 11, 2025March 11, 2025
  • by Claire

This week’s episode of Don’t Stop Us Now AI Edition brings you something a little different as we share behind the scenes insights into the different ways we’re currently using and experimenting with AI to improve our productivity.

AI tools are evolving so fast and we know how hard it is to try and keep up with it all. This is exactly why we’re sharing specific use case examples with you in this week’s episode. These practical use cases are all things you can try out for yourself today if you’re curious about easy ways to incorporate AI into your work and life but aren’t sure where to start. 

As you’ll hear, we’ll share some useful and fun ways to test Perplexity’s Deep Research, Open AI’s image generation capabilities, and Google’s Notebook LM. 

In this episode, you’ll hear:

  • How we transformed some everyday tasks using Perplexity’s new Deep Research 
  • How AI-generated images have become dramatically more useful and accurate in recent months and what we’re using these images for
  • How to easily digest lengthy business reports by turning them into interactive audio conversations you can listen to while commuting or exercising, and
  • Practical advice for navigating privacy considerations while experimenting with AI

You’ll also get to listen in on a live conversation we have showcasing a new feature on Notebook LM that really ups the ante for quickly and easily finding the information you want in a dense and lengthy document. 

There’s something for everyone to try here so enjoy this practical episode sharing real-world AI use cases and tips…

Useful Links

Perplexity AI 

Google’s Notebook LM

ChatGPT (includes image generation capabilities)

Greta’s LinkedIn article on data poisoning

 

If you haven’t already, subscribe to Don’t Stop Us Now – AI Edition to stay in the know 

Why not connect with Claire and Greta on LinkedIn to share your own AI use cases and experiences

Recent Posts

  • Pawns or Players? The Future of AI – Claire and Greta
  • The CEO Power AI User – Joseph Lyons
  • Your Job, Redesigned – Helena Turpin
  • AI Agent Landscape Decoded – Claire & Greta
  • AI on the Org Chart – Patrick Forth

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