About this episode
Businesses are investing heavily in artificial intelligence, but many are struggling to turn that investment into measurable business results. Kevin and Stacy examine the gap between AI expectations and operational reality, exploring why successful implementation requires more than impressive technology demonstrations.
Key takeaways
- Faster individual tasks do not automatically translate into higher business output or a financial return.
- Redesign the complete workflow around the desired business outcome, rather than adding a chatbot to one step.
- Agentic workflows need ongoing integration maintenance, clear permissions, and human oversight.
- Track usage and operating costs closely, with clear ownership of AI spending.
- Prepare people for judgment, exception handling, and oversight as their work changes.