Forget the sci‑fi headlines. We zero in on the kind of AI that actually ships value today and unpack how to choose it, pilot it, and prove ROI without blowing up your workflow. With Ken Johnson from USIT Systems, we sort hype from reality, cut through vendor noise, and focus on targeted wins that save time, reduce errors, and move the bottom line.
We start by clarifying the landscape: narrow AI that powers predictive text, chatbots, and smart thermostats is the workhorse of modern automation. Strong or self‑aware systems remain theory, while early “theory of mind” experiments are emerging in eldercare robotics. From there, we get practical. Ken walks through a simple framework: define the pain point, quantify cost versus value, choose whether your goal is direct monetization or better predictions, and run a small pilot before scaling. You’ll hear real cases, like a clinic enabling secure after‑hours bill pay and a dealership forecasting inventory and buyer segments to tune marketing and stocking.
We also tackle the pitfalls. Predictive systems can trap you in your past choices, narrowing research for tools and even healthcare providers. Vendor ecosystems push their own models, so we talk about comparing outputs, maintaining optionality, and avoiding lock‑in. Then we look at where AI meets robotics to make work safer and more consistent: fryer automation that reduces burns, robots handling hazardous tasks, and near‑term hospital helpers that free nurses to focus on human care. Through it all, the theme holds: AI augments people and process, but human judgment sets the guardrails.
If you’re ready to turn AI from a buzzword into a line on your P&L, this conversation gives you the blueprint. Subscribe for more practical tech strategy, share this with a teammate planning an automation pilot, and leave a review telling us the first task you’d automate.

USIT SYSTEMS
(407) 753-4499
[email protected]
USITSystems.com

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