AI and Adaptive Intelligence for Decision Makers

Most organizations are no longer debating whether to invest in Artificial Intelligence. That decision has already been made. Significant capital, talent, and executive attention have been committed. The challenge leaders now face is more difficult and more consequential: determining what return (financial, operational, and strategic), those investments are delivering.

Across industries, AI spending has produced mediocre results on average. Many organizations find themselves with a growing portfolio of pilots, tools layered onto legacy processes, and data assets that do not translate into decision-grade intelligence. Costs and complexity have increased faster than measurable value. In this post-hype phase, the central issue is no longer experimentation or ambition, but accountability.

AI does not fail primarily because of technology limitations. It fails because organizations start with tools instead of business outcomes, digitize broken processes rather than redesigning decisions, and blur ownership between human judgment and machine automation. Data accumulates, but insight does not reliably reach the people accountable for results. Consequently, leaders struggle to explain where value is created, where it is lost, and who owns the outcome.

This reality raises the bar for leadership. AI does not reduce responsibility; it concentrates on it. Decisions are increasingly distributed across humans and machines, and without clear governance, accountability erodes. Value creation now depends less on model performance and more on operating discipline: clear decision rights, explicit success metrics, and a shared understanding of when automation adds value and when human judgment must prevail.

What This Workshop Is (and Is Not)

This workshop is:

• A leadership working session focused on stop / fix / scale decisions
• A practical framework for converting AI spend into measurable ROI
• A guide to building a data-driven operating model, not dashboards
• A space to confront uncomfortable truths about value leakage

This workshop is not:

• A technology overview or AI trend briefing
• A showcase of tools, platforms, or vendors
• A theoretical discussion of “potential”
• A training session on data science or machine learning

How to Prepare

To get maximum value from the workshop, leaders are encouraged to reflect briefly on:

• Which AI initiatives in your organization would you struggle to defend in front of a board or investor today?
• Where does data exist, but insight does not travel to where decisions are made?
• Which decisions matter most economically and who (or what) currently owns them?

No materials are required. Candor is.

In summary, the organizations that will win in the next phase of AI will not be those that produce more pilot projects, but those that simplify, focus, govern, and decide the best. This workshop is designed to support leaders in doing exactly that.