The manager who excelled at running a manual processing team is failing to lead our new AI automated department. How do we use the Predictive Index to establish new cognitive and behavioral targets for leaders who must manage both humans and automated agents?

Question

Tyler Smith · Accepted Answer

Managing a team in an AI driven environment requires a very different set of skills than managing a traditional, manual team. Traditional managers often focus on task supervision and process adherence. In an AI augmented organization, leaders must focus on system architecture, strategic alignment, and managing the human machine interface. Using the Predictive Index allows you to establish objective behavioral and cognitive targets for these new leadership roles. You need leaders who have high cognitive ability to quickly learn new technologies and high behavioral flexibility to guide their teams through rapid change. To find and place the right leaders for your automated departments, execute this strategy:
- Create new behavioral and cognitive job targets using the Predictive Index specifically for your AI enabled leadership seats on the Accountability Chart.
- Assess your current managers to determine if they possess the natural behavioral drives and cognitive capacity to meet these new targets.
- Redefine the roles on your Accountability Chart to clarify that managers are accountable for the performance of both their human team and their automated systems.
- Provide targeted coaching to help existing managers transition from task oriented supervision to high level system optimization.
By using behavioral science to align your leadership seats, you ensure your managers are energized by their work rather than drained by the complexity of managing automated operations.