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How to Spot AI Hype Before It Burns Your Budget

Agile Meridian

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How to Spot AI Hype Before It Burns Your Budget

59 просмотров · Трансляция закончилась 2 нед. назад
Agile Meridian
392 подписчика
59 просмотров · Трансляция закончилась 2 нед. назад
How do you spot AI hype before it burns your budget? Alex Brungardt, Director of Business Development at Bradis Software, answers with a rule: automate the research and keep the decision with a person. He sells low-code automation into federal governance, risk and compliance (GRC) work, where a wrong call carries real consequences. Kumar Dattatreyan of Agile Meridian hosts this conversation on AI agents, human oversight and where automation earns its cost. WHAT YOU'LL HEAR Why governance, risk and compliance belongs at the start of planning and not at the end of delivery How a test-first culture decides when an AI agent earns more autonomy Why Alex still wants a person watching, even though he lets his Tesla drive What a compliance team looks like when AI absorbs the paperwork Why some buyers now expect a prototype in place of a proposal Why calling generative AI "artificial intelligence" may be the most overhyped idea in the field WHO SHOULD WATCH Agile leaders, product managers, compliance and risk professionals and executives who fund AI initiatives and want fewer expensive surprises. ABOUT THE GUEST Alex Brungardt studied healthcare and came to technology through sales, not engineering. That outsider's view shapes his advice: start with the AI features already inside your existing tools, test before you trust and measure what the automation changes. ABOUT THE HOST Kumar Dattatreyan is Co-Founder and Managing Partner of Agile Meridian LLC and hosts the Meridian Point Podcast. DISCLAIMER Guests share personal opinions and experiences. Nothing in this episode is medical, legal or financial advice. #AI #AIGovernance #GRC #Compliance #HumanInTheLoop #AIAgents #AIStrategy #DisruptionAndInnovation #MeridianPoint #AgileLeadership #DigitalTransformation #FederalIT #LowCode #DevOps #ProductManagement