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Definition
AI Agents
An AI agent is an autonomous software system that combines a large language model with the ability to use tools, access data, make decisions, and take actions to accomplish goals independently. Unlike chatbots that only respond to messages, AI agents can plan and execute multi-step workflows.
AI agents represent a significant evolution beyond chatbots and simple automation. Where a chatbot responds to messages with text answers, an AI agent can access your CRM, send emails, update databases, book meetings, and generate reports in a single workflow. Agents have three key capabilities that set them apart: tool use (the ability to call APIs and interact with external systems), memory (the ability to retain context across conversations and sessions), and planning (the ability to break complex goals into subtasks and execute them sequentially). Modern AI agent frameworks like LangChain, LangGraph, and CrewAI provide the infrastructure for building these systems.
AI agents are transforming how UK businesses handle repetitive operational tasks. A customer support agent can resolve 80 percent of enquiries autonomously. A lead qualification agent can engage prospects and book meetings 24/7. A document processing agent can read contracts, extract key terms, and populate management systems automatically. The business case for AI agents is strongest when there are high-volume, repetitive tasks that require understanding context and taking actions across multiple systems.
AI agents are built on large language models (typically GPT-4 or Claude) enhanced with tool-use capabilities through function calling. The agent receives a goal, plans its approach, selects appropriate tools, executes actions, observes results, and iterates until the goal is achieved. Agent frameworks like LangChain provide abstractions for tool management, memory systems, and agent orchestration. RAG (Retrieval-Augmented Generation) is commonly used to give agents access to company-specific knowledge.
An autonomous agent that accesses knowledge bases, CRM, and order systems to resolve customer queries, process returns, and escalate complex issues to human staff.
An agent that engages website visitors via chat, qualifies leads against defined criteria, and books discovery calls directly into sales calendars.
An agent that reads contracts, extracts key terms and risks, flags issues for legal review, and populates contract management systems.
An agent that monitors dashboards, generates daily reports, sends notifications, and coordinates task assignments across teams.
A chatbot responds to messages with text answers. An AI agent takes actions. It can read your CRM, send emails, update databases, book meetings, and generate reports in a single workflow. AI agents have memory, planning capabilities, and tool-use abilities that chatbots lack.
Talk to Elsio about implementing ai agents for your business.