Why behavioral science is so important in IT transformation

In this episode of the ManageEngine Insights podcast, host Lauren Spiller speaks with James Healy, author of BS at Work and founder of The Behaviour Boutique, about a growing contradiction in modern organizations: Despite smarter systems and rapid advances in AI, adoption continues to fall short. At the heart of the problem, James argues, is a flawed assumption. Organizations design systems with the expectation that employees will behave logically, follow processes, and adapt seamlessly. But human behavior doesn’t work that way. People are influenced by emotion, social context, and identity, creating a disconnect between how systems are built and how they are actually used. A defining theme in the discussion is identity. Work is not just about completing tasks but about how people see themselves within their roles. This is where many transformation efforts quietly fail: not at the system level but at the people level. The conversation then turns to AI and its role in the future of work. While AI continues to excel at structured tasks, James highlights a less visible layer of work that often goes unnoticed. If you’re looking to understand why AI and workplace systems don’t always deliver on their promise, this conversation offers a grounded perspective on the human side of work. Dive in now.

Agenda

• Why AI and modern workplace systems are built on flawed assumptions about human behavior
• The gap between system logic and real employee behavior
• Identity at work: Why change feels personal, not just operational
• Common behavioral blind spots in IT rollouts
• The importance of soft skills
• AI in the workplace: Why we anthropomorphize technology
• Guardrails for the human/AI interface