In this episode of the Everyday Business Problems podcast, Dave Crysler sits down with Sagar Pandya, founder, AI strategist, and cybersecurity expert, to unpack why most organizations are approaching AI adoption the wrong way. After selling his IT and cybersecurity company, Sagar launched Special AI to help businesses adopt AI with confidence, clarity, and real-world results. Together, they dig into why the rush to implement AI tools without foundational readiness leads to wasted spend, failed pilots, and frustrated teams.
Using real examples from manufacturing, finance, logistics, and service businesses, this conversation lays out a practical diagnostic framework and reveals why culture, not technology, is the true make-or-break factor in AI success.
What You'll Discover:
- Why most organizations skip the diagnostic and jump straight to buying AI tools and licenses, and why that backfires.
- The three foundational questions every business must answer before adopting AI: data governance, security posture, and leadership alignment.
- How AI is creating a massive identity crisis inside organizations, and why employee fear and resistance are valid and must be addressed.
- Why the C-suite is often the most disconnected from how work actually gets done, and the risks that creates during AI rollouts.
- Real-world examples of AI use cases across three maturity levels: crawling, walking, and running with AI.
- How a transportation company is using AI to build a dynamic pricing engine with external variables no human team could process at scale.
- Why celebrating failures and lessons learned matters more than showcasing wins during change initiatives.
- The single most important piece of advice for operations leaders heading into 2026: talk to your employees, your AI strategy already lives inside their heads.
If your organization is feeling the pressure to "do something with AI" but doesn't know where to start, this episode will help you slow down, ask the right questions, and build a foundation that actually leads to sustainable adoption.