AI Agent Features
Agentic AI promises the potential to increase efficiency and employee engagement. But how?
For workplaces that are stifled by fragmented data and siloed apps that often delay decision making, create repetitive low-value tasks, and take up too much of employees’ time these are the transformative features of AI Agents for work:
Autonomy
Learning and Adaptation
Proactivity
Decision Making
Iterative Interactivity
Context Awareness
Productivity
Let's explore each of these in more detail:
Autonomy: AI Agents can perform tasks without constant human oversight. They make decisions based on predefined (or unstructured) rules, algorithms, learning from past experiences and interactions.
Learning and Adaptation: Through machine learning, AI Agents improve their performance over time. Reasoning and memory make it possible for Agents to adapt to new information and changing environments, becoming more efficient and accurate with each interaction.
Proactivity: Rather than waiting for commands, AI Agents can anticipate user needs and take proactive actions. For example, an AI Agent might remind you of an upcoming meeting or suggest resources based on your current tasks.
Decision Making: The agent has the foresight based on unstructured reasoning what the next logical step may be, for example checking information available in other applications to inform a potential of responses or outcomes.
Iterative Interactivity: AI Agents can interact seamlessly with users and other systems to help determine the path to follow. They understand natural language, respond to queries, and can integrate with various enterprise applications to fetch or update information as they go about their tasks.
Context Awareness: By understanding the context in which they operate, AI Agents can provide more relevant and accurate assistance. This includes recognizing user preferences, work patterns, and organizational policies.
Productivity: AI agents can plan and collaborate to execute complex workflows based on a single prompt which translates to goals being reached rapidly and at scale, typically with a higher return on investment.
Read more: What is an AI Agent?