Decision-Making Capability in the Age of AI
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395+GST
Course Start Date
8:30am-1:30pm (PT)
Decision-Making Capability in the Age of AI
Businesses run on the thousands of decisions its people make every day. As AI accelerates the pace and scope of those decisions, the gap between organizations that pull ahead and those that fall behind is increasingly the strength of their decision-making capability. Leaders who can design and improve that capability will shape the next decade of business performance.
This course gives you the tools to assess, diagnose, and strengthen your organization's decision-making capability — the structures, skills, and adaptive practices that determine whether decisions translate into good outcomes. Learn to see your team and organization through a new lens: where decisions get made, where they get stuck, and where small architectural changes unlock major performance gains. Assess your own leadership with fresh eyes. Identify the shifts that will have the greatest impact on you, your team, and your organization, and walk away with concrete next steps you can act on immediately.
- See your team and organization as a decision-making system, with specific strengths and gaps you can name
- Diagnose your own organization against a structured rubric to identify the highest-leverage improvements
- Apply a plain-language vocabulary that lets you discuss decision-making capability with peers and senior leaders
- Identify the most impactful moves you can lead from where you sit
- Build the case for systemic improvement in language senior leaders take seriously
- Strengthen your effectiveness as a manager by reducing review bottlenecks and rework
- Identify where AI adds value in decision-making, and where it falls short
- Walk away with concrete next steps you can act on immediately
Impact on your organization, team or business:
- Reduce time lost to decisions that get reworked, escalated unnecessarily, or quietly walked back
- Improve speed and quality of decisions in conditions of uncertainty
- Prepare for the increased risk associated with AI rollouts
- Build a shared vocabulary across leadership cadres for diagnosing and improving decision-making practice
- Strengthen organizational resilience by catching decision-quality issues earlier
- Get more from AI investments by aligning them with the organization's decision-making capability
- Reduce manager bottlenecks and free senior leaders to focus on the decisions only they can make
- Why and how decisions live in systems and why this is so important
- The layers of a decision-making system
- Diagnosing your own decision-making system
- From insight to action
Profile
Lukas Klose
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