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The magentIQ Show

Author: magentIQ

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Real talk with the operators and executives putting AI to work - not the ones tweeting about it. Every episode goes deep on what shipped, what flopped, and what it actually took. No hype, no hand-waving, no LinkedIn gurus. Just the workflows, decisions, and outcomes from the people doing the work. Built on a simple magentIQ belief: AI and people are better together - and getting that right is the whole game.

34 Episodes
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A vendor promises AI will fix your messy data. The proof? A presentation slide where the messy data goes in, the clean data comes out, and there are sparkles. Kyler Cheatham has spent years navigating enterprise technology sales pitches like this, and she's found a hilarious way to expose their absurdities on TikTok. Behind the humor is a serious message for business leaders: know what you're buying, understand what you're signing, and ask what happens when the impressive demo meets your actu...
What if you could train someone in weeks instead of months, without sacrificing the experience they need to do the job well? David Brain shares an experiment at magentIQ where AI-powered customer simulations, role-playing, and personalized assessments helped contact center employees reach competency in roughly a quarter of the usual time. Ian Barkin sees an even bigger opportunity: if AI can accelerate how people gain experience, could we create more capable employees, broader roles, and bett...
Why are companies so eager to give AI agents autonomy when their human employees operate within carefully defined rules? Lasse Rindom has a question for the agentic AI movement, and it goes straight to how enterprises actually work. Organizations depend on structure, accountability, and coordination. Giving an AI agent unlimited freedom to improvise might sound impressive, but what happens when that agent has to work alongside people, processes, and systems that cannot change overnight? In a ...
How much of the software your company pays for do you actually use? David Brain raises an interesting possibility: if you only need 10% of a SaaS platform, could you vibe code that 10% yourself? Ian Barkin connects the question to a striking development: insurance software company Guidewire acknowledging in its annual filing that customers building their own AI-powered alternatives could affect its business. The discussion turn to this: building the tool might be getting easier, but keeping i...
What does an org chart look like when some of the boxes belong to AI agents? Paul Cheek thinks the answer could change how we build companies, create jobs, and spend our working lives. In his new book, No One Works Here, he makes a provocative case for AI-driven enterprises where people spend more time on meaningful work, and entrepreneurs can test ideas without hiring a team or raising a fortune. Ian and Paul start with Lego, GeoCities, and the difference between building a product and build...
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