HAT Insights
What is an AI agent? How businesses put AI agents to work
An AI agent understands a request, looks up data and carries out a chain of tasks. Learn how AI agents work, where businesses use them and how to start safely.
Published · 3 min read
In short: An AI agent is an artificial-intelligence assistant that understands requests in plain language, looks up data on its own and carries out a chain of tasks to reach a goal. Unlike a chatbot that only answers questions, an AI agent does work: it finds information in your systems, summarises it, drafts documents, creates tasks and reports back.
How is an AI agent different from a chatbot?
A traditional chatbot follows a script: users click a button or type the right keyword and get a canned answer. Chatbots built on large language models (LLMs) are smarter but usually answer from general knowledge only.
An AI agent goes further in three ways:
- It connects to real company data: sales, accounting, inventory and project software, internal documents.
- It uses tools: look-ups, calculations, reports, notifications, new tasks.
- It plans several steps: it breaks a large request into small steps, executes them and checks the result.
| Scripted chatbot | LLM chatbot | AI agent | |
|---|---|---|---|
| Understands natural language | Limited | Good | Good |
| Uses internal data | No | Limited | Yes, within access rights |
| Performs tasks | No | No | Yes |
| Handles multi-step requests | No | Limited | Yes |
What do businesses use AI agents for?
A data assistant for leaders and staff
Instead of opening several systems and spreadsheets, people simply ask: “How does this month's revenue compare with last month?”, “Which items are running low?”, “What are my tasks today?”. The AI agent queries the right source, within each person's permissions, and answers with the figures.
Customer service
AI agents answer common questions, check the status of orders or contracts, log requests and hand over to staff when a human is needed.
Sales and quoting
AI agents help find suitable products, suggest configurations and draft quotes for the sales team to review before sending.
Internal processes and documents
A new employee asks “How do I request an advance payment?” and gets an answer drawn from the company's official documents instead of interrupting a colleague.
How to get started with an AI agent
- Pick one concrete problem that is frequent and measurable, such as stock look-ups or repeated customer questions.
- Review the data: where it lives, how clean it is, who may see it.
- Design permissions and limits: the agent only reads and does what it is allowed to, with logs for review.
- Pilot with a small group, collect feedback and track KPIs such as handling time and answer accuracy.
- Scale gradually to other teams and tasks once the results are visible.
Keeping AI agents safe
- Never give an agent wider access than the person using it.
- For important actions such as approving payments or sending quotes, keep a human in the final step.
- Choose storage and AI models that match how sensitive the data is.
- Track wrong answers to improve the data and instructions.
Frequently asked questions
Will AI agents replace employees? AI agents take over repetitive work such as look-ups, summaries and data entry. People focus on judgement, customer relationships and decisions.
Can small businesses use AI agents? Yes. Start with one assistant for one task at low cost, then expand once the benefit is measurable.
HAT Solutions designs and deploys AI agents connected to your data and existing business software. Contact us for advice or read next: Where should digital transformation start?
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