What is AI Agent?

AI agents are digital entities designed to autonomously perform specific tasks, make decisions, and generate outputs. They are typically focused on a particular role or function such as a customer support representative, financial analyst, or content writer.

These agents take in inputs such as prompts, files, or user queries, interpret them, process them according to their defined purpose, and deliver results. While some agents operate based on predefined rules, others can learn from data and make context-aware decisions.

An AI agent is not just an information provider. It is a task executor that can manage processes and delegate responsibilities to other agents when necessary.

This is what differentiates them from classic chatbots.

For instance, a bot answering “What’s the weather today?” is not an AI agent.

But a system that analyzes six months of sales data, generates a report, and summarizes it in an executive format qualifies as a full-fledged AI agent.

The Dot platform offers customizable and reusable AI agents for hundreds of use cases. These agents are categorized as “Novus Agents” (pre-built) or “My Agents” (user-created).

Users can create their own agents from scratch using the “Create Agent” function in Focused Mode. Examples include:

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Customer Support Agent: Automatically responds to customer inquiries by pulling data from connected CRM systems.

Financial Report Agent: Extracts data from SAP or Excel files and generates budget reports.

In Dot, each agent is configured based on

• its intent (task definition),
• input type,
• output format,
• model preference,
• and associated data sources.

These agents are reusable, version-controlled, and shareable across an organization.