How Can Small Businesses Actually Use AI?
AI is suddenly everywhere. It’s built into the tools we use, appearing in search results and being added to everything from email platforms to website builders. And if you run a small business, it can sometimes feel like you’re supposed to be using all of it.
You’re not.
For most small businesses, using AI well isn’t about having the latest tool or automating everything you possibly can. It’s about identifying the parts of your business that take too much time, create unnecessary work or could simply work better — and then deciding whether AI can genuinely help.
That could be something as simple as organising your thoughts before writing a blog post, making sense of customer feedback or turning a messy collection of notes into something useful. It could also mean improving a workflow, analysing information or helping you explore options before making a decision.
The useful question isn’t “How can I add AI to my business?”
It’s “Is there something in my business that AI could make easier or better?”
And sometimes, the answer will be no. That’s useful too.
Start With the Problem, Not the AI Tool
It’s easy to start with the technology. A new AI tool appears, everyone seems to be talking about it, and suddenly you’re wondering whether your business needs it too.
A better place to start is with the business itself.
Think about the tasks that repeatedly take up your time, the information you struggle to organise, the questions customers ask again and again, or the parts of a process that regularly create unnecessary work.
For example:
Are you answering the same customer questions every week?
Does creating content take much longer than you’d like?
Do you have customer feedback but no easy way to identify recurring themes?
Are you spending hours organising notes, documents or research?
Is there a repetitive admin task that keeps pulling you away from more valuable work?
Is there a point in your customer journey where people regularly get confused or drop off?
Once you’ve identified the problem, you can ask whether AI is actually an appropriate way to solve it. Sometimes it will be. Sometimes a simple automation, a better process or a change to your website will make far more sense.
The goal isn’t to find somewhere to use AI. It’s to find a better way of doing something that already needs improving.
Using AI for Content Without Losing Your Voice
Content creation is probably one of the first things people think about when they hear AI for business. And yes, it can be useful — but that doesn't mean handing over your blog, social media or brand voice and asking a tool to do everything for you.
AI can be helpful at different points in the creative process. You might use it to brainstorm ideas, organise thoughts, develop an outline, explore different ways of explaining something or repurpose something you've already created into another format.
The important part is that the knowledge, experience and point of view still come from you.
For a small business, your personality and expertise are often part of the reason someone chooses you. Publishing generic AI-generated content might save time in the short term, but it can also remove exactly what made your content worth reading in the first place.
There are also wider questions around generative AI and creative work, including copyright, how models are trained and the use of existing creative material. These issues are still developing, and they're worth considering when deciding how — and where — you use generative AI in your business.
A useful approach is to treat AI as something that can support your creative process rather than replace it. Let it help you get past the blank page, organise what you already know or challenge your thinking — then make the final result yours.
Making Sense of Information
This is where AI can be genuinely useful without pretending it needs to run the business for you.
You might have customer feedback spread across emails, survey responses or reviews. You might be researching suppliers, comparing software, working through meeting notes or staring at a spreadsheet wondering what information actually matters.
AI tools can help you:
summarise large amounts of information
identify recurring themes in customer feedback
organise notes into categories or actions
explain unfamiliar information in simpler language
help explore patterns in data
turn meeting notes into a clearer list of actions or next steps
The quality of the result still depends on the information you provide and the questions you ask. AI can also make mistakes, misunderstand context or confidently produce information that isn't correct, so important outputs should always be checked rather than treated as fact simply because they sound convincing.
Used well, the value isn't necessarily that AI makes the decision for you. It can help you get from a pile of information to something you can actually make a decision with.
Using AI to Support Customer Service
Customer service can become surprisingly time-consuming as a small business grows, particularly when the same questions come up again and again.
AI can help behind the scenes without necessarily replacing the human interaction your customers expect. You might use it to:
organise frequently asked questions and identify gaps in the information on your website
draft responses to common enquiries that you then review and personalise
summarise a long customer email or conversation before responding
categorise enquiries so they are easier to manage
help build and maintain an internal knowledge base
identify recurring questions that might point to a wider problem in your customer journey
For some businesses, AI-powered chat or automated support may also make sense. But being technically able to automate a conversation doesn’t automatically mean you should. Customers should still have a clear route to a person when they need one, particularly when an enquiry is unusual, sensitive or requires judgement.
Sometimes the most useful insight AI can give you isn’t a faster way to answer a question. It’s noticing that customers keep asking the question in the first place — and perhapsyour website, instructions or process should be clearer.
Automating the Boring Bits
Not every useful application of AI needs to be particularly exciting.
Some of the best opportunities are the repetitive administrative tasks that quietly take up time throughout the week.
Depending on your business and the tools you already use, AI might help with things like:
turning meeting notes into actions or follow-up points
drafting routine emails from information you provide
organising or categorising enquiries and documents
extracting useful information from forms or records
creating first drafts of internal processes or checklists
summarising updates so you can quickly see what has changed
helping move information between different stages of a workflow
It’s also worth remembering that AI and automation aren’t the same thing. Sometimes you don’t need AI at all. A straightforward automation — for example, sending information from a form to the right place or triggering an email after a particular action — may be simpler, cheaper and more reliable.
Before adding AI to a process, ask what you’re actually trying to achieve. If a basic automation solves the problem, use the basic automation
AI and Your Website
AI can be genuinely useful when you're planning, building or managing a website. It can help organise content, explore ideas, analyse information, identify gaps in FAQs or assist with repetitive technical work behind the scenes.
It can also be useful during the actual build process. AI-assisted tools can help with content, layouts, coding and troubleshooting, while established website platforms are increasingly incorporating AI into their existing tools.
The important distinction is between using AI to help build a website and assuming AI has built a functioning website because it generated something that looks finished.
Be Careful With Prompt-to-Website Generators
Some AI tools now allow you to describe a business, products and preferred style in a prompt and generate what appears to be an entire website within minutes.
And visually, the results can be incredibly impressive.
But looking like a finished website and being a functioning business website are two very different things.
A generated site might show a beautiful shop, booking journey, contact form or customer account area, but that doesn't necessarily mean the systems behind those features have actually been built or configured.
A button can look like a checkout button without a working checkout behind it. A booking interface can exist without understanding your availability, cancellations, payments or staff schedules. A contact form isn't much use if enquiries don't reliably reach the right place.
That's particularly important when your website needs to do more than display information. Payments, bookings, forms, customer accounts, stock management, analytics, integrations and automated workflows all need to work reliably behind the interface.
Before relying on a prompt-generated website for your business, test it as a customer would. Follow the entire journey, submit the forms, test the checkout or booking process, check it across devices and make sure the systems behind what you see actually work.
Build Around the Business, Not the Demo
AI can be part of a very useful website-building toolkit. The problem isn't using AI; it's mistaking a convincing generated interface for a completed digital system.
Start with what your customers need to be able to do and what needs to happen operationally behind the scenes. Then choose the technology that can actually support it.
What does my business actually need the website to do?
What Shouldn’t You Hand Over to AI?
Knowing where not to use AI can be just as important as knowing where it can help.
AI tools can process information quickly and produce remarkably convincing responses, but they don’t understand your business, customers or responsibilities in the same way you do. There are some decisions and information that deserve more care than simply putting them into a prompt.
Be Careful With Customer and Business Data
Before entering customer information, employee details, contracts, financial information or other confidential business data into an AI tool, understand what happens to that information after you submit it.
Different AI services have different policies around how data is stored, processed and potentially used. If personal data is involved, your existing data protection responsibilities don't disappear because an AI tool is processing it.
A good rule is simple: don't put sensitive or confidential information into an AI tool unless you understand how that tool handles the data and you're satisfied that its use is appropriate.
Don’t Outsource Your Judgement
AI can help you explore options, organise information or identify things you may want to investigate further. It shouldn't automatically become the person making important decisions for your business.
This is particularly important when a decision could significantly affect a customer, employee or another person. Context matters, circumstances differ and an AI-generated recommendation shouldn't replace appropriate human judgement.
The same applies to professional advice. AI can help you understand a topic or prepare questions, but important legal, financial or other specialist decisions should still be checked with an appropriately qualified person.
Check Before You Trust
One of the trickier things about generative AI is that incorrect information can sound completely plausible.
Names, dates, statistics, sources and even supposed quotations can be wrong or invented. If you're using AI-generated information publicly or using it to make a business decision, you are still responsible for checking it.
Treat AI output as something to review, question and verify — not as a source that automatically becomes trustworthy because the answer sounds confident.
Keep a Human in the Process
You don't need to manually do everything simply because AI was involved. The point of using these tools is often to save time.
But there should be a sensible level of human oversight based on what you're asking the AI to do. Drafting a meeting summary and making a decision that materially affects somebody aren't the same thing and shouldn't require the same level of scrutiny.
The higher the consequence of getting something wrong, the less comfortable you should be handing the entire decision to AI.
You Probably Don’t Need More AI Tools
Before signing up for another AI subscription, take a look at the tools your business already uses.
AI features are increasingly being built into everyday business software. Depending on what you already pay for, you may have access to tools that can help with writing, summarising, organising information, analysing data, customer communication or repetitive tasks without adding another platform to your business.
That doesn’t mean you need to use every AI feature that appears either.
Start with the problem you identified earlier in this article and look at what you already have. Can one of your existing tools help solve it? Is there a simple automation that would do the job? Or does the problem actually justify bringing in something new?
Adding another tool also means another subscription, another system to learn and potentially another place where your business or customer data is being processed.
A smaller, well-connected set of tools that you actually understand and use can be far more valuable than an impressive collection of AI subscriptions you barely touch.
The best AI tool for your business might be one you’re already paying for.
Where Should You Start?
You don’t need an AI strategy, a collection of new subscriptions or a plan to transform your entire business overnight.
Start with one thing.
Choose a task or problem that takes up more time than it should, happens regularly or simply isn’t working as well as you’d like. Then look at whether AI could genuinely help.
Try it on a small scale first. Pay attention to whether it actually saves you time, improves the result or makes the process easier. If it does, keep using it and consider where else the same approach might be useful.
If it doesn’t, stop.
Not every experiment needs to become part of your business, and there’s no value in keeping an AI-powered process simply because it uses AI.
As you become more comfortable with the technology, you can gradually explore more useful applications — while keeping the same question at the centre of every decision:
Does this actually make something better for my business or my customers?
Build Around What Your Business Actually Needs
AI can be a useful part of running and growing a business, but it’s still only one tool among many.
The right digital setup might involve AI, automation, a better website, improved booking or payment processes, or simply making better use of the systems you already have. What matters is that the technology supports how your business works — rather than adding complexity for the sake of it.
At Untypical, I look at the bigger picture: your business, your customers, the processes behind the scenes and what your website or digital setup actually needs to achieve.
Not sure what your business needs next? Let’s talk it through
