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First AI projects for a small business of ten people

aXai · · 4 min read

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A team of about ten people can start with simple, low-risk work to learn how the technology works. Choosing the first AI projects for a small business does not need to be expensive or complicated. Instead of trying to change every system at once, a small team can focus on frequent, low-risk tasks that involve no private information and have a clear way to tell whether they helped.

The draft that takes too long to write

Writing the first draft of an email, a newsletter or a short update often takes a lot of time. A staff member sits in front of a blank screen, trying to find the right words to start. This delay costs the business time that could be spent talking to clients or finishing other work. The actual task is just getting words on the page so that there is something to edit.

Now, a person can write down three or four main points in plain notes and ask a tool to turn those points into a full draft. The tool handles the spelling, the basic structure and the grammar in a few seconds. To keep drafts in the business voice, you can set your AI's rules once with custom instructions. The person keeps the most important part of the work: reading the draft, correcting any errors, and making sure the tone is right. The person still decides what the message should say and signs off on the final text before it is sent.

The policy document that nobody reads

Every business has policies and guidelines that staff need to understand, but long text documents are often hard to read and easy to forget. When a team member needs to find a specific rule, they have to search through pages of dense text. This confusion costs time and can lead to mistakes in daily work. The work of explaining a policy is often done over and over again.

An AI tool can read a long policy document and answer specific questions about it, or summarise the main points for a quick check. It can also help turn a written policy into a script for a short video. For example, a business can use a policy to make a short video that explains a process clearly. You can learn more about making a staff training video from a policy to help staff understand guidelines quickly. The tool handles the summarising and the script layout, while the person keeps the role of checking the facts and deciding if the explanation is clear.

The meeting notes that take hours to type

After a meeting, someone usually has to type up the notes, list the action items and send them to the rest of the team. This task often gets delayed because it feels like a chore. It costs the business because decisions are not written down quickly, and team members might forget what they agreed to do. The work is mostly listening to a recording or looking at scribbled notes and retyping them.

An AI tool can take a transcript of a meeting and organise it into a list of key decisions and action items in less than a minute. It handles the sorting and the formatting of the text. The person who ran the meeting keeps the job of reviewing the list, making sure it matches what was actually decided, and assigning the tasks to the right people. The tool does not make decisions; it only records what the people decided.

Checking whether each tool helped

Starting with these three projects allows a team of about ten people to see what works without taking big risks. Because they are low-risk and use no private information, mistakes are less likely to cause harm. A small business can easily tell if these projects helped by looking at how much time was saved on drafts, how quickly staff found policy answers, and how fast meeting notes were sent out.

By focusing on these frequent tasks, the team learns how to use the tools safely. The technology handles the repetitive drafting, sorting and formatting. The people keep the part of the work that requires human judgment: deciding what is worth doing and making the final choices.

Choosing the first AI projects for a small business is about finding these small, repetitive tasks and letting the team test the tools in a safe way.

If your business would like help to put AI to work, see AI consulting at aXai: AI and a person building together, so you leave with a working system you understand well enough to evolve.

aXai is a disability-led studio that turns ideas into software and content with AI. AI takes the glue work — the chasing, the forms, the fourteenth retelling. People keep the part that was always theirs: deciding what is worth doing, and making it. New ideas. A different way of working. Read how AI-supported work works.

Easy Read version

Starting with AI

A team of about ten people can start small.

You do not need to spend a lot of money.

You can choose three simple projects to start.

Choose tasks that you do very often.

Choose tasks that are low-risk.

Do not use private information.

Writing first drafts

Writing a first draft can take a long time.

An AI tool can write a draft from your notes in a few seconds.

You keep the important part of the work.

You read the draft and make sure it is correct.

You decide when it is ready to send.

Explaining policy documents

Policy documents can be long and hard to read.

An AI tool can find answers in a policy quickly.

It can also help turn a policy into a script for a video.

You check the facts to make sure they are right.

Making meeting notes

Typing up meeting notes can take hours.

An AI tool can turn a transcript into a list of decisions.

It does this in less than a minute.

You review the list and send it to your team.

Checking the results

These three projects are safe to try.

You can easily see if they save you time.

The tool does the repetitive work.

You make the final decisions.

aXai works with you to build something with AI.

See AI consulting at aXai.

aXai is a studio led by people with disability.

AI does the chasing and the forms.

People decide what is worth doing.

People make it.

That is a different way of working.

Read how AI-supported work works

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Why aXai

aXai is a disability-led studio that turns ideas into software and content with AI. AI takes the glue work; people keep deciding what is worth doing, and making it. That is what AI-supported work sets out. Today the two founders do that work; we are building the pipeline so more disabled people can, in properly paid roles.

Every project runs on our own infrastructure, the Decision Bus and Project Layer, so each step is planned, signed off by a person and on the record. That is our operating advantage. Read how it works.

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