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Start an assessmentAm I behind on AI? A quick check for small businesses
Five questions to help you separate practical gaps in your own business from marketing pressure. The check is on this page and needs no login.
Intro
Intro
A lot of AI marketing suggests that everyone else has already worked this out. This guide gives you five questions about your own business so you can judge for yourself which gaps are real and which are pressure from vendors.
There are two kinds of "behind on AI". The first is practical: tasks that take hours each week and that AI tools handle well, client questions about AI and data that you cannot answer yet, or uncertainty about which tools are safe to use with client information. These are worth addressing, and the plan lower on this page is one way to start.
The second is marketing pressure: email sequences, social posts and vendor content that suggest urgency without saying what your business would gain. Some of it is written to sell a product or a course. The check helps you tell the two apart.
The five-question check
Answer five questions about your business
Each question covers a different area: everyday use, data, client communication, task selection and review. The scoring guide below suggests what your answers mean together. The result is indicative and based only on your own answers.
Are you regularly saving time with AI on at least one task in your business?
Do you know which AI tools are appropriate for your business and which create data risks?
Can you describe your AI use (and your review process) to a client in one clear sentence?
Have you identified at least three tasks in your business that AI could help with?
Does someone check AI-assisted work before it is sent to a client or used in a decision?
| Label | Yeses | Summary | Action |
|---|---|---|---|
| Build on what works | 5 / 5 | You are using AI regularly, with data and review rules in place. The next step is to go further with the uses that already work, make your processes consistent and be ready to explain your AI use to clients and regulators. | Read the AI policy guide and the brand voice guide to tighten your workflows. |
| Specific gaps to close | 3 to 4 / 5 | You have some foundations in place. The questions you answered No to show where to focus, which is often data handling, client communication or review. | Find the questions you answered No to. The guides listed lower on this page cover questions 1 to 4, and the AI policy guide is a starting point for question 5. |
| Gaps worth a structured start | 1 to 2 / 5 | You have gaps worth working on, and they can be tackled in stages. The 30-day plan on this site is written for this position: a task audit, data and review rules, a trial on real work and a decision at the end. | Start with the task audit in week 1 of the 30-day plan. It takes about 90 minutes and gives you the task list for the rest of the plan. |
| Early stage | 0 / 5 | You are at the beginning. Start with data rules and one trial on real work. Your score moves through regular, checked use of AI on your own tasks, and a large technical project is not needed to begin. | Read the 30-day plan and start with week 1. Agree your data and review rules before you pay for a tool. |
What "behind" means
Real gaps and marketing pressure
Messages that say you are behind on AI vary. Some point to practical gaps that cost your business time or create risk. Others create urgency to sell training, tools or consulting. Knowing which is which helps you respond in proportion.
Gaps worth addressing
If staff use AI tools and nobody has checked what the providers do with the information entered, close that gap first. Agree which tools are approved and what information must stay out of them.
Some clients, particularly larger organisations and regulated businesses, ask suppliers about AI use, data handling and review. If you are asked and do not have a clear answer, that is a gap in how you present your business.
If you write repetitive emails by hand, summarise long documents manually, research each brief from scratch or redraft the same kind of proposal, and AI could produce a first draft for you to check, that time is worth measuring.
Marketing pressure worth questioning
Claims like this often do not say what 'using AI' means. Trying a chatbot once and using AI each week on business tasks are very different things. Ask what the claim is based on before you act on it.
Predictions like this give no basis for the timescale. Some businesses will see large changes from AI, and many will adopt it gradually for specific processes. Judge the timescale by what your clients and your own tasks show you.
A small business can start with a few specific tasks that take a lot of time, test AI on them and measure the result. The 30-day plan works this way: an audit, then a trial on the best candidate. A wider overhaul is a bigger decision, and easier to judge once you have results from smaller trials.
The 30-day plan
If you scored 0 to 2: where to start
A score of 0 to 2 suggests gaps worth working on. You can start with the week 1 task audit, about 90 minutes of listing where your time goes, then agree data and review rules and test a paid AI tool on your top task for the rest of the month.
| Label | Number | Week | Detail |
|---|---|---|---|
| Audit and rules | 1 | Week 1 | About 90 minutes listing recurring tasks and scoring each for time cost and suitability. Pick your top five. Check the data terms of two or three tools, create accounts and agree rules on data and review. |
| First trial | 2 | Week 2 | Use the approved tool on your top task five times with real work, checking each output. Try email drafting as a second use. |
| Repeatable workflow | 3 | Week 3 | Write your first prompt template. Set up standing instructions in your tool. Share the template and the rules with your team. |
| Measure and decide | 4 | Week 4 | Compare time and quality with your week 1 notes. Write a half-page note on what works. Decide whether to continue, change or stop. |
Common questions
FAQs
How do I know if my competitors are actually using AI or just talking about it?
From the outside, you usually cannot tell for certain. Faster turnaround or more detailed proposals may come from AI, from more staff or from better processes. Job adverts that mention AI tools show that a business is interested in them, which says little about results. Your own task list is a more useful guide: start with where your time goes and what your clients ask for.
My clients haven't asked about AI yet. Does that mean I don't need to worry?
It is not a reason to wait. Some clients, especially larger organisations, ask suppliers for an AI policy as part of procurement before AI comes up in project discussions. Having a short, clear answer ready ('this is how we use AI, this is how we check it, this is our data policy') means you are prepared when the question comes.
I've tried AI tools and they didn't produce useful output. Am I doing it wrong?
Possibly, and it is often fixable. Common causes of poor output are a task that does not suit AI (these tools are weaker on work that needs current information, specialist judgement about relationships or context only you have), a brief that was too vague, or expecting a finished product from a first draft. Before deciding AI is not useful for your business, read the guides on getting AI to write in your brand voice and on setting up ChatGPT with your business documents, which cover how to brief it. If results are still poor, the task may be better done another way.
Are there businesses where AI helps very little?
AI tends to help least where the value lies in judgement built over years of relationships, or where the relationship is the service. Therapists, mediators and advisers whose personal reputation is the product may find little use for it in the core work. In many service businesses, such as accounting, legal, marketing, HR, IT, consulting, design and recruitment, the tasks around the core work (writing, research, summarising, drafting and data analysis) are often suited to AI even when the core work is not.
What if I'm using AI already but not sure if I'm doing it well?
Ask yourself three questions. Is the output usually good enough to use after a light edit, or does it often need rewriting? Do you have a written process for what gets AI help and how it is checked? Could you describe your AI use to a client in one clear sentence? If the answer to any of these is no, the gap is in process and consistency. The AI policy guide and the brand voice guide on this site cover both.
How long does it take to close the gap?
It depends on the size of your team and how much time you give it. The 30-day plan on this site is a first-month framework for testing AI on your highest-priority task and deciding whether to continue. Larger teams usually need longer to reach consistent use, because training and agreeing rules take time. A common mistake is trying to do everything at once. Pick the one or two most promising uses and get those right before expanding.
Talk to us
We can run the task audit with your team in a workshop
Our AI workshops cover the task audit, tool selection, prompt building and planning how your team will use AI, using your own business as the example. The trial on real work then runs over the following weeks.