What’s the BUZZ? — AI in Business

What if you could get your executive's feedback before your big presentation to them (with zero effort)? Agentic AI makes it possible.
In the latest episode of “What’s the BUZZ?”, host Andreas Welsch sits down with Elise Neel, SVP of Global Strategy and Strategic Partnerships at Panasonic, to explore what it really takes for executives to lead in an era of Agentic AI.
This conversation goes beyond the hype and gets into a far more important question: How does leadership evolve when intelligence is no longer scarce?
Catch the BUZZ:
- Why the best leaders are the best orchestrators
- How Agentic AI reshapes operating models in addition to productivity
- Why executive leaders need hands-on experience beyond theoretical understanding
- How sparring agents scale executives’ time and feedback

Leaders looking to move from AI curiosity to real organizational impact find examples and inspiration in this episode to evolve their own leadership approach.
Questions or suggestions? Send me a Text Message.
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Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).

More details:
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What does it actually take to build AI governance that enables innovation instead of slowing it down?
In this episode of “What’s the BUZZ?”, host Andreas Welsch sits down with Walter Haydock, CEO of StackAware, to break down how leaders can move from reactive AI usage to structured, scalable governance without killing momentum.
Together, they discuss why most organizations get AI risk wrong, where governance efforts typically fail, and how to design a program that balances speed, security, and business value. He shares practical insights on defining risk appetite, simplifying policies, and avoiding the extremes that derail AI adoption.
Highlights you’ll get from the conversation:
Why most companies fall into two traps—“ban AI” or “anything goes”—and how to find the middle ground.
The three risks every AI leader must address: data confidentiality, IP ownership, and reputation.
What ISO 42001 actually provides and how it helps operationalize AI governance at any scale.
The only four ways to handle risk—and why AI doesn’t change these fundamentals.
How to define risk appetite in real business terms to guide faster, better decisions.
Why overly complex data classification policies fail—and what to do instead.
The #1 mistake organizations make when implementing governance programs: unrealistic timelines.

If you want a clear, practical approach to managing AI risk while still moving fast, this episode delivers actionable guidance you can apply immediately.

Listen now to learn how to turn AI governance from a bottleneck into a competitive advantage.
Questions or suggestions? Send me a Text Message.
Support the show
***********
Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
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What do you do when AI takes the junior roles, and attention becomes your most valuable resource? 
Steven Puri and host Andreas Welsch map a practical path from distraction and short-term thinking to sustainable high performance.
In this episode, Steven, a former studio exec, serial founder, and the mind behind a focus app, explains why entry-level jobs are changing, where real human value is rising, and how individuals and teams can design work around attention, not just task lists. He shares concrete techniques for getting into flow, beating the "cold start" procrastination loop, and using AI as a force multiplier rather than a replacement.
Highlights you’ll get from the conversation:
Why the bottom rungs of traditional career ladders are evaporating and what that means for talent development.
The new premium on deep work: what humans still do better than LLMs and how to protect that time.
Practical habits to find your best creative windows (chronotype + simple tracking exercise).
A productivity hack that actually works: hide everything but your top 3 tasks to defeat paralysis.
How to use AI tools to prototype, learn, and ship faster — and why that can accelerate career growth.
Leadership blind spots: the danger of short-term cost cuts and why planning for multi-year development still matters.
If you want actionable ways to reclaim your attention, structure your day for meaningful output, and turn AI into an enabler of skill growth, this episode is full of concrete, repeatable tactics.
Listen now to learn how to turn AI hype into habits and outcomes that actually move your work and career forward.
Questions or suggestions? Send me a Text Message.
Support the show
***********
Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
Get a weekly thought-provoking post in your inbox:
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The uncomfortable trust for leaders is this: AI is changing how leadership works, or is it?

In the latest episode of the “What’s the BUZZ?” podcast, host Andreas Welsch sits down with Sadie St. Lawrence, founder of Human Machine Collaboration Institute and author of Becoming an AI Orchestrator, to discuss what it really takes to lead in the age of AI.

Sadie introduces a powerful idea: the future of work belongs to AI orchestrators. They are leaders who know how to guide AI systems the way a conductor leads a symphony.

Here are a few key insights from our conversation:

- The shift from doing to orchestrating  
Work is moving from execution to coordination. Instead of completing every task ourselves, professionals will increasingly guide AI systems—asking the right questions, refining outputs, and turning rough drafts into real business value.

- Managers and individual contributors must evolve  
Managers often know how to delegate—but may not be using AI themselves. Individual contributors may use AI—but lack experience delegating work. The future requires both groups to develop leadership-level thinking, even without a formal leadership title.

- AI success starts with systems thinking  
Many organizations want AI outcomes without the right foundations. Leaders need to understand their data, tech stack, and workflows so that AI can support real business strategy rather than becoming another disconnected tool.

- AI is an opportunity for everyone to lead  
You don’t need to be a technical expert to start. The most important step is simple: get your hands on the keyboard and start experimenting. That’s how leaders begin to see what’s possible.

If you want to understand how your role and your organization must evolve in the AI era, this conversation is for you.
Questions or suggestions? Send me a Text Message.
Support the show
***********
Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
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Stop chasing the rainbow—this episode shows how to turn AI pilots into repeatable programs that actually deliver business value.
Host Andreas Welsch talks with Ivo Strohhammer about the hard work behind scaling AI adoption: moving from experiments to production, building a community that learns together, and helping small and medium businesses avoid the same pitfalls large enterprises faced. Ivo shares hands-on approaches from his work at Siemens and his new local ecosystem: how to enable people, provide secure playgrounds, and balance fast experimentation with the governance and standards needed to scale.
Highlights from the conversation:
Why employees are your most powerful lever: democratize access, offer secure tools, and create tiered learning paths so people can progress from curious user to local AI champion.
How to balance speed and structure: let teams experiment but create standards to avoid reinventing the wheel; use short, adaptive planning cycles and measure impact early.
The difference between everyday AI vs. process AI vs. new AI—and why rethinking processes often produces far larger gains than just layering models on existing workflows.
Practical ways to help SMEs: open local labs, shared trainings, and a three-stage approach (Awareness → Ability → Application) so smaller orgs can punch above their weight without huge budgets.

Three quick takeaways:
Put people first—train, enable, and give secure spaces to experiment.
Find the sweet spot between experimentation and standardization—pilot widely, scale selectively.
Stay agile—test fast, keep what works, fail fast, and move on.

If you want a practical playbook for making AI stick—whether you lead a global program or run a local SME—this episode is full of examples and actionable advice. Tune in now to hear the full conversation and start turning your AI pilots into lasting programs.
Questions or suggestions? Send me a Text Message.
Support the show
***********
Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
Get a weekly thought-provoking post in your inbox:
https://www.intelligence-briefing.com/newsletter