For Korn Ferry's Assessment and Succession products, how should we weigh the benefits of AI-driven insights against potential concerns about data privacy and human judgment?

Introduction

For Korn Ferry's Assessment and Succession products, we need to carefully balance the potential benefits of AI-driven insights against concerns about data privacy and human judgment. This trade-off involves weighing the advantages of advanced analytics and machine learning against the risks of data misuse and the potential loss of human expertise in decision-making processes.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm thinking about the current state of Korn Ferry's AI implementation. Could you share more about the specific AI technologies currently in use or planned for the Assessment and Succession products?

Why it matters: Helps understand the starting point and potential for expansion Expected answer: Some AI implementation, with plans for expansion Impact on approach: Would influence the scope and timeline of proposed changes

• Business Context: Based on industry trends, I assume AI insights are becoming a key differentiator. How critical is AI integration to Korn Ferry's competitive strategy in the next 1-2 years?

Why it matters: Aligns solution with strategic priorities Expected answer: High priority, seen as crucial for maintaining market position Impact on approach: Would justify more aggressive AI integration, balanced with privacy safeguards

• User Impact: Considering the sensitivity of assessment data, I'm curious about our clients' current stance on AI use. What feedback have we received from key accounts regarding AI in our products?

Why it matters: Gauges client readiness and potential resistance Expected answer: Mixed feedback, with some enthusiasm and some concerns Impact on approach: Would inform communication strategy and potential phased rollout

• Technical: Given the complexity of AI systems, I'm wondering about our current data infrastructure. How prepared are we to handle increased data processing and storage needs for advanced AI applications?

Why it matters: Assesses technical feasibility and potential bottlenecks Expected answer: Some capacity, but likely needs upgrading Impact on approach: Would influence timeline and resource allocation for technical improvements

• Resource: Considering the potential scope of this initiative, I'm thinking about team capacity. Do we have the necessary AI expertise in-house, or would we need to hire or partner externally?

Why it matters: Determines resource needs and potential constraints Expected answer: Some in-house expertise, but likely need additional resources Impact on approach: Would impact budget considerations and project timeline