Ten questions UK business owners often ask about AI

Generative AI produces text, images, code and other content using patterns learned during training. Your instructions and any material you provide shape the output. ChatGPT, Microsoft Copilot and Claude are examples of tools built on it. It can produce useful drafts and summaries, and it can also invent details or get things wrong, so the output needs checking. Read the guide to generative AI

AI tools can help with drafting, summarising documents, finding information in your own material and moving data between systems. Useful starting points are often everyday tasks such as first drafts of routine emails, meeting notes and quotes. A person checks the output before it is used. Read the examples by task and sector

It depends on the task. Compare the time a task takes now with the time it takes with AI, including checking and corrections, then set that against subscriptions, setup and support. Time recovered is capacity, which is different from cash saved. If a trial shows little difference, keep the current process. Read the guide to AI return on investment

AI can change which tasks people do, and some roles change as a result. How the business uses any time it frees up is a decision for the business. Involving the people who do the work, explaining what will change and offering training all affect how a change is received. Read the guide to AI and your team

One practical approach is to pick a low-stakes, repetitive task you can check easily. Agree what data may be used and who reviews the output, test it on real examples, and compare the result with how the task is done now. Then decide whether to continue, change approach or stop. Read the guide to getting started

The answer depends on the task, the tools you already use and the data you need to work with. Try the same real tasks in each tool you are considering and compare the results. Products, plans and features change often, so check each provider's current plans and terms before you buy. Read how to compare ChatGPT, Claude and Copilot

That depends on the tool, the plan, the settings and the data you put into it. Consumer and business plans can have different terms on training, retention and access. Before staff use a tool, decide what it is for, what data is allowed, who has access and how output is reviewed. Read the data checklist

Costs come from several places: per-user subscriptions, usage charges, configuration, integration with your systems, training and ongoing support. Prices change, so check current plans with each provider. Custom work also needs maintenance after it goes live. Read the guide to AI costs

Often it can, depending on the systems. Some business software includes AI features, which may need a particular plan. Connecting other tools depends on the access each system allows, licence terms and the quality of the data. Check those first, then decide how to connect them or whether something needs to change. Read the guide to connecting existing systems

Many AI tools can be used by people with no technical background. Someone still needs to set up accounts and access, configure the tool, look after integrations and keep it working. That can be a member of your team or an outside supplier, and it is worth agreeing who before you start. Read the guide for non-technical businesses