Google Data Analytics Capstone Case Study Dataset: AI Agents for Business Leadership — Kaggle (5,500 records)
AI agents are increasingly being deployed to support business leaders in making faster, more consistent decisions. That sounds promising. But there is a problem that often goes unexamined.
When people believe that AI will dominate decision-making, they feel less safe speaking up, challenging assumptions, or admitting uncertainty. This is not a small side effect. It directly undermines psychological safety, which is what makes learning, innovation, and honest risk discussion possible in teams.
The fear is real and it is specific: that human judgment will be replaced, not supported. And when people feel that, they go quiet. They defer. They stop contributing the very thing AI cannot replicate, which is contextual human wisdom.
This case study investigates how AI agents can support business leaders in making more consistent, data-informed decisions while preserving human judgment and psychological safety. The client is a business intelligence consulting firm advising mid-sized organizations that are experimenting with AI agents for their leadership teams. The audience is senior leaders and HR/People Analytics partners who are deciding whether and how to deploy these tools.
My client is a business intelligence consulting firm advising mid-size organizations that are experimenting with AI agents to support their leadership teams.
The business task is to investigate how AI agents can support business leaders in making more consistent, data-informed decisions while preserving human judgment and psychological safety.
Leadership decision quality, consistency of using data, trust in AI tools, perceived autonomy, and psychological safety in teams.