AI agents are gaining traction, yet the term lacks a clear, unified definition within the AI community. Traditional definitions often overlook key aspects important for real-world application, such as reliability and efficiency. Bessemer defines an AI agent as a software application that executes chain-of-thought reasoning and can perform complex workflows. They outline five criteria for agents: stateful configuration, intelligence through logical reasoning, action execution, capacity for complex task management, and reliability with clear entitlements.
Bessemer’s AI agent autonomy scale ranges from no agency (L0) to teams of agents managing one another (L6). As AI continues to evolve, we foresee agents automating information-driven tasks and transforming workforce dynamics. Embracing AI agents can lead to significant productivity gains and economic enhancements, highlighting the need for intentional adoption of this technology. Bessemer’s insights stem from leading experts focused on the future of AI in work and enterprise.
Source link
