What Is an AI Agent? How Businesses Are Using Them in 2026

An AI agent is software that autonomously plans and executes multi-step tasks to reach a goal — using tools like web search, email, databases, and APIs along the way. Unlike a chatbot that answers questions, an agent takes actions. It can read an email, look up a customer record, draft a response, and send it — all without a human in the loop.

How AI Agents Differ from Chatbots

Chatbots respond. Agents act. The key difference is tool use and autonomy:

• Chatbot: You ask "what is our refund policy?" → it answers from a knowledge base
• AI Agent: A customer emails requesting a refund → the agent reads the email, checks the order history, applies the policy, processes the refund, and sends a confirmation — without human input

According to Gartner (2025), by 2027, more than 50% of enterprise knowledge workers will interact with AI agents daily. SMEs that start now will have a significant operational advantage.

What AI Agents Can Do for Your Business Right Now

• Inbox triage — classify, prioritise, and draft replies to incoming emails
• Lead follow-up — automatically follow up with enquiries after a set time window
• Reporting — pull data from your tools, summarise it, and send a weekly brief
• Booking management — confirm, reschedule, and remind clients automatically
• Content production — brief creation, first-draft writing, scheduling
• Internal knowledge retrieval — answer staff questions about policies, procedures, and client history

What Is OpenClaw?

OpenClaw is an open-source AI agent framework that lets you build agents with custom tools, memory, and logic. It is particularly popular for businesses that want control over agent behaviour without being locked into a closed platform. Mellon AI uses OpenClaw as a core component when deploying agents for client businesses — it integrates cleanly with email, CRMs, and internal systems.

What You Need to Deploy an AI Agent

1. A defined goal — what task should the agent own end-to-end?
2. Access to the right tools — email API, CRM integration, or database access
3. An LLM backbone — Claude, GPT-4o, or Gemini to handle reasoning
4. A review workflow — especially for high-stakes outputs early on
5. A specialist to configure it — or significant time to learn the frameworks yourself

How Long Does It Take to Set Up an AI Agent?

A simple single-task agent (like inbox triage) can be configured in 1–2 days. A multi-tool agent that handles end-to-end workflows typically takes 1–2 weeks to build, test, and refine. The longest part is not the technical setup — it is defining the rules and edge cases the agent needs to handle.