You lead a function inside an organization that has committed publicly to AI. Delivering on that commitment is now your accountability. 

For some functions, that means figuring out where to start, understanding where AI fits without disrupting the work already underway. For others, the investment has already been made, the tools are live, and the return the business case committed to hasn’t shown up.  

Both situations point to the same underlying challenge: moving from an AI mandate to work that has genuinely changed, and being able to show it.

Only a small fraction of life sciences organizations are scaling AI with measurable value. What separates the leaders making progress is rarely the tools or the budget. It is how deliberately they approach the two questions that matter most: where AI belongs in the function, and how to make sure the work changes when it arrives.

This session walks through both, and how to tell whether you are getting there.

You have made the AI investment. The tools are live, the pilots have run, and the utilization dashboards look healthy. Now you’re planning the year ahead against what the investment has delivered so far, and the return the business case committed to hasn’t shown up. The technology is doing its part, but the business isn’t changing around it.  

The gap sits with the workforce. Employees have been left to figure out AI on their own, unclear on what it means for their roles, how they are expected to use it, and where it fits into the work they are already accountable for. Some experiment on their own and find personal efficiencies. Others wait for direction that never quite arrives. And across the organization, adoption spreads unevenly, deep in some pockets and absent in others, none of it adding up to the enterprise capability the business case promised.  

The usual reading of that is resistance. In our experience, it is more often capacity and capability: the time to develop fluency with AI and the practice to apply it effectively, both constrained by the demands of the role. The fix is different, so the diagnosis matters. 

Closing that gap takes deliberate work across three layers: the leaders who set the direction, the managers who translate it into daily practice, and the employees who have to change how they work.  

This webinar walks through what that takes.