Everyone's talking about AI—but how many companies are actually engineering it to deliver real business results? In this week's episode of TechVibe Radio, Jonathan Kersting and Audrey Russo sit down with Bill Elm, President of Resilient Cognitive Solutions, to explore what it really takes to make human-AI collaboration work in the real world.

Bill cuts through the hype surrounding AI to explain why 92% of corporate AI projects fail to meet business objectives, and how AI engineering—not experimentation—can prevent costly failures. With nearly two decades at the forefront of decision-support systems, RCS has become a global leader in human-machine teaming, developing mission-critical AI systems for the Department of Defense and Intelligence Community right from its base in Pittsburgh.

Listeners will learn:

• Why most AI initiatives fail before they start—and how to fix that.

• The difference between AI research and AI engineering.

• How RCS's "Brittle-lytics" process exposes hidden flaws that can cause costly or dangerous system breakdowns.

• A real-world case study showing how RCS turned a rejected AI system into a high-performance solution embraced by users.

• Why understanding human decision-making is key to making AI work in "a messy world."

Bill also reminds us that true innovation isn't about "automating the stupid part"—it's about rethinking your workflow and making smarter, more informed decisions with imperfect data and evolving tools.

If your business is serious about AI—and can't afford to fail—this is one conversation you can't miss.

Hit PLAY to hear how RCS is building the future of AI right here in Pittsburgh.

The Pittsburgh Technology Council produces TechVibe to explore Pittsburgh's technology and innovation ecosystem.