Research Report
AI Copilots, AI Agents, and AI Teammates
Overview
Challenges
In order to leverage AI to effectively enhance productivity and foster innovation, companies should be aware of the different tools at their disposal. This publication focuses on categorizing AI-based applications—AI copilots, AI agents, and AI teammates—by their distinct roles and functionalities, highlighting the significant benefits of each type, as well as the challenges organizations may face in implementing each of them.
Summary
The framework outlines three critical classifications of AI applications: AI copilots, AI agents, and AI teammates, each serving distinct functions in enhancing productivity and collaboration. By understanding the unique roles and operational characteristics of these AI systems, organizations can more effectively integrate them into their workflows. The framework emphasizes not only the benefits of these AI classifications but also the challenges organizations may face while implementing them.
Included in the full report
AI Copilots Enhance Human Productivity:
Operate as assistants that provide real-time suggestions, relying on human direction.
AI Agents Offer Autonomy:
Function independently to achieve specific goals, reducing the reliance on continuous human oversight.
AI Teammates Foster Collaboration:
Work alongside human teams, aligning actions with collective objectives to enhance teamwork and synergy.
Address Implementation Challenges:
Organizations need to navigate integration complexities, ethical considerations, and user adoption for successful AI deployment.
Invest in Training and Metrics:
Prioritize user education and establish clear performance metrics to evaluate AI effectiveness and justify investments.
Publication date:
June 6, 2025
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