Staging environment

Agentic AI for Managers

Hosted by Prashant Saxena

Wed, Sep 30, 2026

1:30 PM UTC (30 minutes)

Virtual (Zoom)

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Leading Human-Agent Teams
Prashant Saxena
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What you'll learn

Choose the right work for an AI agent

Judge one task by its value, error cost, context, and need for human judgment.

Set the human decision boundary

Decide what a person must verify, who approves the work, and when to escalate.

Measure the work of the whole team

Track first-pass quality, total human effort, and review burden before you expand the pilot.

Why this topic matters

Make one sound delegation decision in 30 minutes. Use 'The Release That Looks Ready' and the 'Human–Agent Team Canvas' to decide what AI can prepare, what a person must verify, who owns the result, and what to measure. You’ll leave with a 'Delegation Decision Card' for a real task. Bring it to Leading Human-Agent Teams and turn that decision into a solid plan for a complete workflow. Built from multiple top-tier management and human–AI studies.

You'll learn from

Prashant Saxena

Regional Executive | PhD | Consulted 300+ brands & govs

Prashant Saxena helps managers decide where AI should do the first pass, where people must keep judgment and how the complete workflow should be measured.

He is a regional executive who leads a business across six Asian markets. He teaches at ESSEC Business School and researches AI, authenticity and human judgment at Nanyang Technological University.

His sessions turn management research into concrete cases, guided decisions and tools people can use with their teams.

He writes for California Management Review, LSE Business Review and IMD. He has published research in the Journal of Advertising and the International Journal of Human-Computer Interaction.

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