AI does not create business value. Knowledge does.

Today I led a session at Israel’s National Quality Conference, exploring how organizations can move from AI enthusiasm to real business results.

The conversation was not about the most impressive AI agents we see around us.
It was about something far more practical — embedding expert knowledge into AI agents so they can support better decisions, stronger quality performance, and measurable business outcomes.

Using real examples from procedures and knowledge-intensive quality work, we examined how expert-driven AI agents can help organizations translate knowledge into consistent execution, faster learning, and smarter action. The same principle applies naturally to lessons learned, compliance, and other domains where knowledge directly shapes performance.

One idea resonated throughout the discussion:
The organizations that will truly benefit from AI are not those adopting the shiniest tools.
They are the ones starting with real business challenges — and designing AI around the knowledge required to solve them.

The pace of change is accelerating.
The difference between average performance and competitive advantage will depend on how well we turn knowledge into intelligent action.

If you are exploring how knowledge-based AI agents could support business results in your organization — I would be glad to continue the conversation 1:1.