What is an AI agent? A plain-English guide for the UK

A woman working on a laptop from her sofa

An AI agent is software you give a goal to, which then works out the steps, uses tools such as email, a browser or your accounting system, checks its own results and keeps going until the job is done or it needs you. A chatbot answers the message in front of it and waits. An agent acts. That one difference, acting rather than answering, is what the rest of this page is about: how agents work, what they can and cannot do today, what they cost in the UK, and what to check before you let one near your business.

Key facts

  • Definition: a system with a goal, tools, a plan-act-check loop and, usually, memory. The loop and the tools are what make it an agent; how much it remembers varies by product.
  • Chatbot vs agent: a chatbot waits for your next message; an agent takes the next step itself.
  • Good first jobs: repetitive, rule-bound, cheap to check. Invoice chasing, inbox triage, lead qualification.
  • UK cost: about £16-20 a month for a personal assistant tier; £20-80 per user for small-business agent platforms; £0 to run one on your own Mac.
  • UK law: UK GDPR applies in full. The ICO is writing dedicated guidance on agentic systems.

On this page

What is an AI agent?

The phrase is older than the current wave of AI. In computer science an agent is anything that perceives its environment and acts on it to reach a goal; a thermostat qualifies. What changed in 2023 and 2024 is that large language models learned to use tools, which means the perceiving, planning and acting can now happen in plain language across almost any software.

Interest is rising fast. UK searches for "AI agent" so far in 2026 are running at about four times the 2025 average, according to Google Trends.

Line chart of UK Google search interest from 2023 to 2026: searches for AI agent, AI agents and agentic AI were near zero until 2025, then rose steeply, with AI agent highest
UK search interest in "AI agent", "AI agents" and "agentic AI". Source: Google Trends, retrieved 16 October 2026.

So a modern AI agent has four parts. A model, the reasoning engine, which may be a cloud model such as GPT or Claude or a smaller model running on your own machine. Tools: email, calendar, browser, files, your CRM, payments. Memory: what it carries from one task to the next. And the loop: plan, act, check, repeat until done. If you are reading product pages, this is a useful test rather than a strict rule. No tools means it is a chatbot. No loop means it is an assistant. No memory means every day starts from scratch, which is fine for some single-task agents. Anthropic's engineering guide draws the line in a similar place: an agent is a system where the model directs its own steps and tool use, rather than following a script.

Diagram of the four parts of an AI agent: the model as reasoning engine, tools as hands and eyes, memory, and the plan-act-check loop
The four parts of an AI agent. An invoice-chasing agent uses all four: ledger access, email, a record of who was chased, and a weekly loop.

AI agent vs chatbot vs AI assistant

The three words get used interchangeably in marketing, and the difference is simpler than the marketing suggests. It is about what the system does after it has produced some text.

Diagram comparing a chatbot, an AI assistant and an AI agent: the chatbot answers, the assistant drafts on request, the agent takes a goal and acts on its own
A chatbot answers. An assistant drafts. An agent acts, then checks whether it worked.
ChatbotAI assistantAI agent
InputA messageA request, with your contextA goal
OutputAn answerA draft, a summary, a search resultA finished task, with a log
Uses tools?NoSometimes, on requestYes, as it decides
Acts without a prompt per step?NoNoYes
Invoice exampleTells you what a reminder should sayDrafts the reminderSends it, waits, checks payment, chases again

Most people searching for a personal AI assistant actually want a mild agent: something that handles the inbox and diary without a prompt for each step. If that is you, Personal AI assistant: the 2026 guide covers the options and prices.

How do AI agents work?

Every agent runs the same loop, however it is branded. A goal comes in. The model turns it into a plan. It calls a tool and reads what came back. It judges whether the goal is met; if not, it plans the next step. That loop runs until the task is finished, until it hits a step it has been told to ask about, or until it fails and hands back.

Diagram of how an AI agent works as a loop: goal, plan, tools, check and result, with memory underneath every step
The loop is what makes it an agent. Memory underneath carries what you told it last week.

Two parts of that loop deserve your attention when you set one up. The tool list is the agent's permissions: an agent that can read your calendar is low risk, one that can send money is not, and you should be able to see and edit the list. The stop points are the actions that always need a human. Good platforms let you mark these; good practice is to mark anything irreversible, which means sending, paying, deleting and publishing.

Types of AI agents

Textbooks divide agents by how they decide (reflex, model-based, goal-based, utility-based, learning). For choosing a product, a split by what they do for you is more useful.

TypeWhat it doesTypical productsWho it suits
Personal assistant agentInbox, diary, reminders, research for one personAssistant tiers of ChatGPT, Claude, Gemini, Copilot; on-device toolsIndividuals and sole traders
Task agentOne repeating business job, end to endNo-code agent builders, workflow tools with AI stepsSmall firms automating admin, support or sales
Coding agentWrites, runs, tests and fixes codeClaude Code, Codex, Cursor and similarDevelopers; the most mature category
Browser agentOperates websites on your behalfBrowser extensions and built-in agentsForm filling, booking, price checking
Multi-agent systemSeveral agents passing work between themEnterprise platforms, developer frameworksLarger firms with technical teams

The wider term for all of this is agentic AI. If you want the category explained, with the difference between a workflow and a true agent and how to spot "agent washing", read What is agentic AI?

What can AI agents do? Examples that work today

The reliable examples share three traits: the task repeats, the rules are mostly clear, and a mistake is cheap to catch. These are the eight jobs UK firms tend to hand over first.

List of eight jobs AI agents are commonly given first: invoice chasing, support triage, lead qualification, meeting prep, competitor monitoring, bank reconciliation, CV screening and research
Each job is a loop with tools. Invoice chasing is the usual first pick.
  • Chase unpaid invoices. Reads the ledger, sends reminders in your tone, waits, checks whether payment arrived, escalates or stops.
  • Triage the support inbox. Answers routine questions, routes the rest with a summary, tags and logs everything.
  • Qualify inbound leads. Looks up the company, scores it against your rules, drafts a tailored reply, offers meeting times.
  • Book and prepare meetings. Finds a slot, sends the invite, assembles a one-page brief from past emails.
  • Monitor competitors. Checks named sites weekly, summarises what changed, flags price moves.
  • Reconcile bank feeds. Matches transactions to invoices, queries the exceptions.
  • Screen CVs. Scores applications against a written brief, drafts the shortlist; a human makes every decision.
  • Research and summarise. Searches dozens of sources, cross-checks, writes a cited report.

Sector-by-sector guides, with costs in pounds, start with AI agents for UK small business. To compare ready-made agents, see AI agent marketplaces, rated and the best new AI agents on Product Hunt.

What AI agents can't do yet

  • Long, open-ended tasks with many judgement calls. Agents drift, lose the thread, or confidently finish the wrong job. Keep tasks bounded.
  • Resist manipulation. An agent that reads the web or your inbox can be steered by text written to steer it. This is why the tool list and stop points matter.
  • Know what they do not know. They will guess rather than stop. Build in the stop.
  • Replace a person wholesale. The ICO and the business surveys agree: in UK SMEs, AI is currently supporting staff rather than replacing them. Expect the same from an agent.

Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027, mostly on cost and unclear value. The projects that survive are the narrow, well-logged ones.

Are AI agents safe?

An agent is as safe as the access you give it and the checks you keep. Three controls cover most of the risk. Narrow permissions: the agent can reach only the systems its job needs. A human on anything irreversible: sending, paying, deleting, publishing. A full log: every action, every tool call, kept where you can read it.

In the UK there is a fourth: data protection. The Information Commissioner's Office published its early thinking on agentic AI in January 2026 and has said UK GDPR applies in full, with dedicated guidance on agentic systems in its 2026/27 workplan. The questions it raises (what data the agent can reach, your lawful basis, whether it makes decisions about people, whether you need a DPIA, whether you can explain and correct what it did) are covered in AI agents and UK GDPR: what the ICO expects.

What does an AI agent cost in the UK?

OptionTypical UK price (October 2026)What you getBest for
Assistant tier of a cloud modelAbout £16-20 a monthA capable general assistant with some tools; limited autonomyIndividuals trying it out
No-code agent platformAbout £20-80 a month per userBuild task agents in plain English, connect your apps, approval stepsSmall firms with one or two jobs to automate
Workflow tool with AI stepsFree tier, then about £15-50 a monthFixed workflows with AI inside; the predictable optionFirms whose process is already written down
Developer frameworksModel usage only, pay as you goFull control, full responsibilityFirms with technical staff
On your own Mac£0 beyond the hardwarePrivate, offline, no subscription; smaller modelsAnyone handling client or personal data

Prices are approximate, in sterling, and change often; check each vendor's UK page. The price that matters more is the cost of a mistake, which is why the first agent should be given a job where a mistake is cheap.

How to choose your first AI agent

  1. Pick one job that repeats weekly, follows rules you can write down, and would not hurt much if done wrong. Invoice reminders and inbox triage are the usual choices.
  2. Write the rules first. If you cannot describe the job to a new temp in a page, an agent will not manage it either.
  3. List the tools it needs and give it those only. Read access before write access.
  4. Mark the stop points. Anything irreversible needs a human.
  5. Run it for 30 days with every action logged and reviewed weekly. Widen its remit only when the log is boring.
  6. Write down your lawful basis and, if it touches customer data at scale, do a DPIA. See the ICO guide.

Cloud agent, or one on your own computer?

Most agents run in a vendor's cloud: your emails, files and instructions go to their servers, where the model lives. That is fine for many jobs and gives you the strongest models. For anything that touches client or personal data, a growing number of people run the agent on their own machine instead. On a Mac with Apple Silicon and 16 GB or more of memory, a local model can run the whole loop with nothing leaving the device, at no subscription cost, with the trade-off that local models are smaller than the cloud flagships.

Diagram comparing a cloud AI assistant, where data goes to vendor servers, with an on-device assistant that keeps the model, memory and tools on your Mac
Both can read your email and files. The difference is who else can.

Our setup guide is Run AI agents on your own Mac.

Frequently asked questions

What is an AI agent in simple terms?

An AI agent is software you give a goal to, which then works out the steps, uses tools such as email or a browser, checks its results and keeps going until the job is done or it needs you. A chatbot answers; an agent acts.

How is an AI agent different from a chatbot?

A chatbot answers the message in front of it and waits. An agent can take a goal, make a plan, use tools, check the result and repeat without a prompt for each step. The loop and the tools are the difference.

What can AI agents do?

Today's reliable uses are repetitive, rule-bound tasks: chasing invoices, triaging a support inbox, qualifying leads, booking meetings, monitoring competitors, reconciling bank feeds, screening CVs, and research with cited sources.

What can't AI agents do yet?

They are unreliable on long, open-ended tasks with many judgement calls, they can be manipulated through the content they read, and they do not know what they do not know. Anything irreversible should still need a human.

Are AI agents safe?

They are as safe as the access you give them. Narrow permissions, a human approval step for irreversible actions, and a full log cover most of the risk. In the UK, UK GDPR applies in full; see our ICO guide.

How much does an AI agent cost in the UK?

A personal assistant tier is about £16 to £20 a month. No-code agent platforms for small firms run from roughly £20 to £80 a month per user. Running an agent on your own Mac costs nothing beyond the hardware.

Do I need to know how to code?

No. Several platforms let you describe the agent in plain English and connect tools with a click. You do need to decide what it may touch and when it must ask you.

Related: ready to make one? How to build an AI agent walks through six steps, with or without code.

Next: if you are deciding whether to use one, read AI agents and UK GDPR first. If you are deciding which one, start with AI agents for UK small business.

About the author

Annie has spent twenty years in search, lead generation and ad tech, on the agency, client and publisher side, and has worked in growth for an AI agent platform. She writes aiagents.org.uk independently: no AI vendor pays for coverage. More about Annie · How guides are made · LinkedIn

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