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Using AI at Work: AI in the Workplace & Generative AI for Business LeadersAuthor: Chris Daigle
On "Using AI at Work", your host Chris Daigle and his expert guests help business leaders, executives, and teams who want to turn artificial intelligence into a real competitive advantage. Each episode shares real-world AI applications and AI transformation stories from companies successfully using AI in the workplace to improve productivity, decision-making, and operations.Youll hear from Chief AI Officers, innovators, and forward-thinking executives who are putting generative AI at work, from AI productivity tools and AI-powered workflows to non-technical AI training and workplace AI adoption strategies.We cover:AI for business leaders how executives use AI to lead change and drive ROIGenerative AI tools practical, easy-to-implement solutions for teamsAI automation in business streamline operations without massive tech budgetsExecutive AI education upskilling leaders and managers for the AI eraReal-world AI case studies lessons learned from successful AI implementationAI in operations management optimizing processes and reducing costsEthical AI in business navigating responsible and effective AI useWhether youre exploring AI adoption, leading AI-powered transformation, or looking for AI implementation guides, this podcast delivers a clear, non-technical roadmap to succeed in the AI-driven economy.New episodes weekly.Start learning how to put AI to work in your business today. Language: en-us Genres: Business, Management, Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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66: Using AI Agents at Work: Governance, Security, and Real-World Wins with Oren Michaels
Episode 66
Monday, 25 August, 2025
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.🔎 ResourcesLearn more about Oren Michaels: Barndoor.aiContact Oren directly: oren@barndoor.ai🛠️ Tools & Frameworks MentionedChatGPT ➡ https://openai.com/chatgpt Model Context Protocol (MCP) for agent-to-system integration📌 Chapters00:00 – Intro to Oren Michaels and Barn Door AI02:20 – From APIs to AI agents: lessons from enterprise adoption06:46 – Defining an AI agent vs. ChatGPT and automation13:25 – Why agents lack conscience and what that means for business18:10 – Governance frameworks for AI agents22:58 – Risks and opportunities of the Model Context Protocol (MCP)27:19 – Who inside companies is owning AI governance33:25 – Enterprise scale vs. mid-market AI adoption38:36 – Real-world wins in finance, marketing, and contracts42:53 – The difference between automation, RPA, and agents46:28 – Shadow AI, unsanctioned MCP, and risk management50:56 – Where to learn more about Barn Door AIEpisode 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 executivesSponsored by Chief AI Officer. Empowering businesses with AI education and training. Visit chiefaiofficer.com for a free AI readiness assessment & AI strategy guide to help you get started using AI at work.Please Like & Subscribe!https://twitter.com/usingaiatworkhttps://www.linkedin.com/company/chiefaiofficer/🌐 https://usingaiatwork.com
