The Next Evolution: AI That Acts Independently
Generative AI has shifted from being a simple content generator to a complex system capable of **autonomy**. The term **Agentic AI** refers to intelligent systems that can set goals, make decisions, and execute multi-step tasks with minimal human intervention. This is a move beyond \”copilots\” and towards true digital collaborators.
Key Characteristics of Agentic Systems:
- Autonomy: Can maintain long-term goals and execute multi-step problem-solving.
- Tool Use: Agents can call external APIs, query databases, and use the web to gather up-to-date information.
- Orchestration: Multi-agent systems involve several specialized agents working together to complete a complex workflow (e.g., one agent researches, one plans, one executes).
For the enterprise, the transition from pilot to scaled impact in agentic systems is most visible in **IT and knowledge management** functions (e.g., service-desk management and deep research). Leaders must now grapple with implementing robust **governance frameworks** to monitor these autonomous actions effectively.
Agentic AI transforms automation from rigid scripting to adaptive, dynamic workflow management.