Artwork

Inhalt bereitgestellt von Chris Daigle. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Chris Daigle oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
Player FM - Podcast-App
Gehen Sie mit der App Player FM offline!

66: Using AI Agents at Work: Governance, Security, and Real-World Wins with Oren Michaels

54:34
 
Teilen
 

Manage episode 502346971 series 3546066
Inhalt bereitgestellt von Chris Daigle. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Chris Daigle oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Chris Daigle sits down with Oren Michaels, founder of Barndoor.ai, to explore the rise of AI agents in the workplace and why governance and security matter just as much as innovation. From defining what makes an AI agent different from ChatGPT, to tackling the risks of the new Model Context Protocol (MCP), Oren explains how executives can unlock real productivity gains while avoiding costly mistakes.
You will hear how to treat agents like eager interns with guardrails, where companies are already seeing ROI in finance, marketing, and contracts, and why shadow AI and unsanctioned MCP use could be your biggest risks. Packed with real-world AI applications and executive-level strategy, this episode is a playbook for business leaders ready to adopt agents responsibly.
🔎 Resources
Learn more about Oren Michaels: Barndoor.ai
Contact Oren directly: [email protected]
🛠️ Tools & Frameworks Mentioned
ChatGPT ➡ https://openai.com/chatgpt
Model Context Protocol (MCP) for agent-to-system integration
📌 Chapters
00:00 – Intro to Oren Michaels and Barn Door AI
02:20 – From APIs to AI agents: lessons from enterprise adoption
06:46 – Defining an AI agent vs. ChatGPT and automation
13:25 – Why agents lack conscience and what that means for business
18:10 – Governance frameworks for AI agents
22:58 – Risks and opportunities of the Model Context Protocol (MCP)
27:19 – Who inside companies is owning AI governance
33:25 – Enterprise scale vs. mid-market AI adoption
38:36 – Real-world wins in finance, marketing, and contracts
42:53 – The difference between automation, RPA, and agents
46:28 – Shadow AI, unsanctioned MCP, and risk management
50:56 – Where to learn more about Barn Door AI
Episode tags:
AI in the workplace, AI for business leaders, Generative AI at work, Non-technical AI leadership, Real-world AI applications, Workplace AI adoption, Executive AI training, AI productivity tools, AI transformation stories, Ethical AI business, AI implementation guide, AI strategy for executives

  continue reading

69 Episoden

Artwork
iconTeilen
 
Manage episode 502346971 series 3546066
Inhalt bereitgestellt von Chris Daigle. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Chris Daigle oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Chris Daigle sits down with Oren Michaels, founder of Barndoor.ai, to explore the rise of AI agents in the workplace and why governance and security matter just as much as innovation. From defining what makes an AI agent different from ChatGPT, to tackling the risks of the new Model Context Protocol (MCP), Oren explains how executives can unlock real productivity gains while avoiding costly mistakes.
You will hear how to treat agents like eager interns with guardrails, where companies are already seeing ROI in finance, marketing, and contracts, and why shadow AI and unsanctioned MCP use could be your biggest risks. Packed with real-world AI applications and executive-level strategy, this episode is a playbook for business leaders ready to adopt agents responsibly.
🔎 Resources
Learn more about Oren Michaels: Barndoor.ai
Contact Oren directly: [email protected]
🛠️ Tools & Frameworks Mentioned
ChatGPT ➡ https://openai.com/chatgpt
Model Context Protocol (MCP) for agent-to-system integration
📌 Chapters
00:00 – Intro to Oren Michaels and Barn Door AI
02:20 – From APIs to AI agents: lessons from enterprise adoption
06:46 – Defining an AI agent vs. ChatGPT and automation
13:25 – Why agents lack conscience and what that means for business
18:10 – Governance frameworks for AI agents
22:58 – Risks and opportunities of the Model Context Protocol (MCP)
27:19 – Who inside companies is owning AI governance
33:25 – Enterprise scale vs. mid-market AI adoption
38:36 – Real-world wins in finance, marketing, and contracts
42:53 – The difference between automation, RPA, and agents
46:28 – Shadow AI, unsanctioned MCP, and risk management
50:56 – Where to learn more about Barn Door AI
Episode tags:
AI in the workplace, AI for business leaders, Generative AI at work, Non-technical AI leadership, Real-world AI applications, Workplace AI adoption, Executive AI training, AI productivity tools, AI transformation stories, Ethical AI business, AI implementation guide, AI strategy for executives

  continue reading

69 Episoden

Alle Folgen

×
 
Loading …

Willkommen auf Player FM!

Player FM scannt gerade das Web nach Podcasts mit hoher Qualität, die du genießen kannst. Es ist die beste Podcast-App und funktioniert auf Android, iPhone und im Web. Melde dich an, um Abos geräteübergreifend zu synchronisieren.

 

Kurzanleitung

Hören Sie sich diese Show an, während Sie die Gegend erkunden
Abspielen