Key Insights and Strategies for Developing and Evaluating Agentic AI
TL;DR
McKinsey conducted a one-year performance review of over 50 AI agents, finding that they perform best when integrated into workflows, require ongoing development, and are most effective when shared across functions, but they are not suitable for all tasks and need human oversight to prevent errors and ensure success.
- 50 AI agents get their first annual performance review - 6 lessons learned ZDNET
- Building the Foundation for Agentic AI Bain & Company
- The agentic organization: Contours of the next paradigm for the AI era McKinsey & Company
- How to build scalable agentic AI applications for enterprises cio.com
- From hype to horsepower: A CMO’s playbook for AI transformation Think with Google
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