The Boring AI Show

Mind Over Machines

Dive into AI's real impact on biz with "The Boring AI Show"! 🎙️ Honest chats, humor & insights on tech, change, and human collaboration.

  1. 4d ago

    MESC Recap

    In this special edition... Tim is joined by Tally, Sandra Warner, and Sam Hopkins for a recap of the Medicaid Enterprise Systems Conference. After a week on the conference floor in Portland, the team brings Tim up to speed on what they heard from Medicaid leaders, federal partners, vendors, and public servants working through the next wave of Medicaid technology modernization. The conversation gives listeners a practical look at the themes shaping the Medicaid enterprise space, from data readiness and procurement to AI, governance, change management, and the importance of keeping people at the center of transformation. Throughout the episode, one theme keeps resurfacing: successful technology work starts with a clear mission. Before jumping into tools or solutions, organizations need to understand the problem, align around the people they serve, and build the foundation needed for meaningful, sustainable change. Topics Covered Medicaid Enterprise Systems Conference recap Medicaid technology modernization Why strategy should come before technology State Medicaid agency differences and shared challenges Procurement and financial stewardship Data maturity, data cleansing, and reliable data foundations AI governance and responsible implementation Human-in-the-loop AI Change management and workforce development Vendor alignment around a shared mission AI use cases for Medicaid agencies IVR and AI-assisted call center routing AI as a second set of eyes for data review Supporting smaller or shrinking workforces with AI Quantum computing as a future readiness topic Resources Events and Resources Mentioned Medicaid Enterprise Systems Conference 2026 MESC 2026 Event Page Mind Over Machines at MESC 2026 Using AI to Ensure Vendor Harmony with RFPs Organizations Mentioned Mind Over Machines Medicaid Enterprise Systems Conference Centers for Medicare & Medicaid Services Medicaid.gov Oregon Convention Center Powell’s Books TennCare Oak Ridge National Laboratory Tools and Technologies Mentioned ChatGPT Claude Microsoft Copilot ElevenLabs Twilio Interactive Voice Response, or IVR AI agents Voice-to-text Data governance AI governance Quantum computing Thanks for listening! Visit us at @mindovermachines.com to learn more about us! Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

    MESC Recap
  2. Aug 13

    Choosing The Right Work For Humans And Machines

    In this episode... Tim and Tally explore a deceptively simple question: What work is best suited for people, and what work should be handled by AI? Rather than treating the decision as a competition between humans and machines, they consider how the two can work together—and why the right balance may look different across organizations, teams, and individual tasks. The conversation examines how culture, risk, responsibility, and the intended experience all influence where AI belongs in a process. A tool may be capable of performing a task, but that does not automatically mean an organization should delegate it. From customer service and employee onboarding to document review and decision support, Tim and Tally discuss the questions teams should ask before deciding how much responsibility to give a machine. They also break down the differences between AI assistants, autonomous systems, and agents, along with the oversight each requires. The discussion moves beyond simply adding AI to an existing workflow and considers how organizations can thoughtfully redesign work around the strengths of both people and technology. Throughout the episode, Tim and Tally return to the idea that human and AI involvement is better understood as a slider than a switch. Finding the right position requires more than choosing a tool—it requires clarity about the task, the desired outcome, the acceptable risks, and where human judgment still matters most. Topics Covered Human and AI collaboration versus human-versus-machine thinking Determining which work should remain human-led AI-led work with human oversight Human-led work with AI assistance Tasks that may not be appropriate for AI Organizational culture and acceptable AI use Customer and employee experience HR onboarding and AI-assisted hiring Human bias and algorithmic bias Resume screening and compensating controls Human review, quality checks, and accountability AI hallucinations and realistic expectations Using AI for sensitive or high-stakes decisions AI summarization and document review Reengineering processes around AI capabilities The human–AI slider at the task level AI assistants, autonomous systems, and agents Audit logs and oversight for automated workflows Role-based access to advanced AI capabilities Using AI to prioritize work and reduce context switching Creating fictional companies and sample data for workshops Using AI-generated content to make learning more immersive Resources Research and References Mentioned Do You Mind if I Ask You a Personal Question? How AI Service Agents Alter Consumer Self-Disclosure NIST Artificial Intelligence Risk Management Framework Waymo Arrives in Denver to Prepare for Future Autonomous Service Microsoft Northwind Sample Database Microsoft Contoso Regional Sales Sample Organizations Mentioned Mind Over Machines Microsoft OpenAI Anthropic Adobe ElevenLabs Waymo ServiceNow Miro National Institute of Standards and Technology REI Co-op Costco Tools and Technologies Mentioned ChatGPT Claude Microsoft 365 Copilot Microsoft Power Automate Microsoft PowerPoint Microsoft Word Read Aloud ServiceNow AI Agents Miro Adobe Firefly Boards ElevenReader ElevenLabs Agents Waymo Driver Robotic Process Automation AI assistants Autonomous AI systems AI agents Thanks for listening! Visit us at @mindovermachines.com to learn more about us! Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

    Choosing The Right Work For Humans And Machines
  3. Jul 16

    Starting Your AI Governance Program

    In this episode... Tim and Tally sit down to tackle one of the most requested topics on The Boring AI Show: AI governance. While governance may sound like a dry policy conversation, the episode quickly turns into a practical discussion about trust, risk, responsibility, and what it really takes to bring AI into an organization without creating avoidable surprises. The episode starts with AI news stories that set up the broader theme. From AI literacy efforts in education to a brand mishap involving AI-generated marketing, Tim and Tally explore why organizations need more than enthusiasm when adopting AI. They need shared rules, clear expectations, and a thoughtful understanding of where AI fits into their culture, values, and daily work. The conversation covers what AI governance actually means, why it should not be treated as only an IT or legal issue, and how companies can begin building guardrails that are realistic for where they are today. Tim and Tally also discuss the risks of moving too fast, from reputational damage and workforce mistrust to shadow AI, data exposure, and tools evolving faster than policies can keep up. Throughout the episode, one theme keeps resurfacing: good AI governance is not about slowing innovation down. It is about helping people use AI with more confidence, more clarity, and more accountability, so organizations can move forward without losing sight of quality, trust, and human judgment. Topics Covered What AI governance means in practical terms Why governance is more than policy AI guardrails and avoiding bad surprises AI literacy for students, teachers, parents, and communities Human review for AI-generated marketing and public content Reputational risk, legal risk, financial risk, and workforce trust Shadow AI and tools already being used inside organizations Building an AI-forward team or steering committee Starting small with governance instead of overbuilding too early Model inventories and approved AI tool lists Data classification and acceptable use Policies, procedures, standards, and guidelines Use case intake and review workflows AI wearables, recording, consent, and workplace expectations Using AI for creative work, slide generation, and brainstorming Resources Articles and News Mentioned AI Literacy Framework for Primary and Secondary Education REI got roasted for a nonsensical Instagram ad featuring a bike with 2 sets of handlebars and blamed a Meta AI tool EU AI Act Gamestorming: 7Ps Framework TechCrunch: Humane’s AI Pin is dead, as HP buys startup’s assets for $116M Organizations Mentioned Mind Over Machines OECD European Commission Code.org REI Co-op Meta Microsoft Anthropic OpenAI Google Adobe ElevenLabs Higgsfield AI Humane HP Tools and Technologies Mentioned Meta AI Microsoft Copilot Copilot in PowerPoint PowerPoint Agents in Microsoft 365 Copilot ChatGPT Claude Adobe Firefly Higgsfield AI ElevenLabs Ray-Ban Meta AI Glasses Google Maps Google Street View Thanks for listening! Visit us at @mindovermachines.com to learn more about us! Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

    Starting Your AI Governance Program

Ratings & Reviews

5
out of 5
4 Ratings

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Dive into AI's real impact on biz with "The Boring AI Show"! 🎙️ Honest chats, humor & insights on tech, change, and human collaboration.