Category: AI for Small Business Owners

When a business grows, the owner stops hearing every customer conversation. That’s when quiet customers slip away unnoticed. AI can now spot the warning signs for you, in the data you already have.

Most small businesses don’t lose customers in a blazing row. They lose them quietly.

The regular who ordered every month hasn’t ordered since June. The client who used to reply within the hour now takes a week. Nobody notices until the renewal doesn’t arrive, and by then they’ve found someone else.

The warning signs are nearly always sitting in your systems already. The trouble is that nobody has time to go and look. Claude can do the looking for you.

We use Claude in the examples below because it’s the AI assistant we use most day to day. We’ll set you up with whichever AI tool suits your business.

Part 1: Spotting customers who are going quiet

Decide what “going quiet” means for you. Keep it simple. For example, no order in 60 days from someone who normally orders monthly, spend down more than 30% on the same quarter last year, or no reply to your last two emails.

Give Claude the numbers. Export a list of customers from your accounts or order system with their last order date and spend by quarter. Nearly every system can do this as a spreadsheet. Create a Project in Claude called “Customer check” and put your “going quiet” rules in the instructions.

Let Claude do the scanning. Drop the export into a chat and ask:

“Using our rules, list every customer who looks like they’re going quiet, starting with the most valuable. For each one, suggest a friendly reason to get in touch and draft a short, personal check-in email.”

If you connect Claude to your Outlook or Gmail, it can also search your recent emails with a customer, so you know where things stand before you pick up the phone.

Turn it into a habit. Fifteen minutes every Monday. Run the list, pick five customers, make five calls. That’s honestly it.

Part 2: Making sense of your reviews

Google reviews, survey replies, the odd “just wanted to say” email. Most businesses collect far more feedback than they ever read properly.

Copy a few months of it into Claude (a straight copy and paste is fine) and ask:

“Group this customer feedback into themes. For each one, tell me how often it comes up, give me one example quote, and tell me whether it’s getting better or worse.”

In a few minutes you’ll see patterns that would take an afternoon to find by hand, like delivery times coming up in one review in five, or the same member of staff being praised by name again and again.

Claude can also draft replies to reviews: a proper thank you for the good ones, and a calm, helpful first draft for the ones that sting. Just make sure a real person reads and tweaks every reply before it goes live.

What it’s worth

Here’s a typical example. Say you have 200 active customers, each worth £2,000 a year. If a Monday check helps you keep just three who would otherwise have drifted off, that’s £6,000 a year protected, for 15 minutes a week.

Keeping it safe

Only share the customer data Claude actually needs. Names, order dates and spend usually do the job, and you rarely need addresses or bank details. Use a Claude business plan, or check your privacy settings, and make sure your own privacy notice covers how you use customer data.

Starter checklist

1. Write down your own “going quiet” rules.
2. Export last order date and spend for every customer.
3. Set up a “Customer check” Project in Claude with your rules.
4. Run the prompt above and sanity check the list.
5. Book a 15-minute slot every Monday.

Want help making it a routine?

We cover customer tracking in our Sales deep dive workshop and can set the whole thing up in Claude for you through AI Implementation. Take the 3-minute AI Readiness Check to see where you stand.

We’re not IT people. We’re business leaders who’ve put AI to work across sales, finance, operations and marketing. We can set this up for you, train your team and hand it over, or keep running it for you each month.

Growing pains like this are normal in a business that has grown quickly, and they’re fixable. Take the free Growing Pains Check to see where your business stands in three minutes, or book a free call about a Growing Pains Diagnostic: half a day with you and your business, then a written 90-day plan with the three changes that matter most.

See how the workshops work →

Or book a free 30-minute call with us →

Every MD we speak to asks the same thing: which AI should we actually use? Claude, ChatGPT or Microsoft Copilot?

The honest answer is that all three are good, and the best choice depends far more on how your business works than on which is “smartest” this month. Here’s a plain-English comparison of what each costs, how they treat your data, and where each one fits, using the providers’ own pages (checked 7 October 2026).

The short answer

If your business lives in Microsoft 365 (Outlook, Word, Excel, Teams), look hard at Copilot, because it works inside those apps.
If most of your AI use will be writing, thinking things through, and working with long documents and spreadsheets, Claude is the one we use most ourselves.
If you want a broad all-rounder with a large range of add-ons, ChatGPT is a strong choice.

That’s our view from using them in real businesses, not a lab test. The right answer for you comes from trying them on your own work.

What they cost for a business

Claude Team: $20 per person a month billed annually, or $25 monthly, for 2 to 150 people (Claude pricing).
ChatGPT Business: $20 per person a month billed annually, or $25 monthly, minimum two people (ChatGPT Business).
Microsoft 365 Copilot Business: an add-on for existing Microsoft 365 business customers at £19.32 per person a month on a monthly plan, or £13.80 on an annual plan under a promotion that runs to 31 December 2026 for the first year (Microsoft 365 Copilot).

Claude and ChatGPT list prices in US dollars, so the amount you pay in pounds may differ. All prices exclude VAT. Each provider also has cheaper personal plans, but for a team we’d always start on a business plan.

What happens to your business data

This matters more than any feature. On their business plans, both Claude and ChatGPT say they don’t train their models on your content by default (Claude pricing; ChatGPT Business). On the free and personal plans, both list model training as something you can opt out of (ChatGPT pricing), so check the settings before anyone uses them for work.

For Copilot, check Microsoft’s terms for your specific plan with whoever looks after your Microsoft 365 account.

Where each one fits into your day

Copilot works inside Word, Excel, PowerPoint, Outlook and Teams. Microsoft also says Copilot Chat is available at no extra cost to users with an eligible Microsoft 365 subscription, so it’s worth checking what you already have (Microsoft 365 Copilot).
Claude includes Claude for Microsoft 365, covering Outlook, on its paid plans, alongside Projects for keeping work on one job together (Claude pricing).
ChatGPT lists Projects, scheduled tasks and custom GPTs on its Plus plan and above (ChatGPT pricing).

How to choose, in a month

1. Pick two jobs your team does every week, such as a report and a customer email
2. Try two of the tools on exactly those jobs for two weeks each
3. Use business plans, and agree what data can and can’t go in before you start
4. Ask the people doing the work which one saved them more time
5. Choose one, set it up properly and train the team on it

The worst outcome is everyone using a different free tool with nobody knowing what’s been shared. Picking one and setting rules matters more than picking the “best” one.

Want help choosing?

We’re not IT people. We’re business leaders who’ve put AI to work across sales, finance, operations and marketing. We use Claude most day to day, but we’ll set you up with whichever AI tool suits your business and train your team on it. See what it costs, or take the 3-minute AI Readiness Check to see where AI could save you the most time.

Growing pains like this are normal in a business that has grown quickly, and they’re fixable. Take the free Growing Pains Check to see where your business stands in three minutes, or book a free call about a Growing Pains Diagnostic: half a day with you and your business, then a written 90-day plan with the three changes that matter most.

See how the workshops work →

Or book a free 30-minute call with us →

If you run a small business, you’ve probably been told your team needs “AI training”. The next question is always the same: what should it cost?

The short answer: anywhere from free to around £3,500 a day, depending on whether you want general awareness or training built around your own business. Here’s what the market charges in 2026, what you’re actually paying for, and how to tell if it’s worth it.

What AI training costs in the UK in 2026

Free: the government’s AI Skills Boost programme offers free short courses for every UK adult, from about 20 minutes to a day, focused on everyday work tasks (Enterprise Nation, January 2026).
£10 to £50 per person a month: online courses on the big learning platforms (Elansio).
£400 to £900: a half-day workshop from a freelance trainer (LogicRoad).
£980 to £1,950: a half-day workshop from a specialist AI trainer (LogicRoad).
£1,800 to £3,500: a full-day workshop from a specialist (LogicRoad).
£750 to £1,500 a day: specialist AI consultancies, against £2,000 to £5,000 a day for the big consultancies (Elansio).

These are published ranges from providers’ own pricing guides, so treat them as a guide and always ask for a written quote.

What you’re actually paying for

Free and online courses are a sensible place to start. They teach what AI is and how to write a decent request. What they can’t do is look at your business.

The difference with paid, in-person training is that it should be built around your own work: your invoices, your reports, your customer emails. People leave having done a real job with AI, not just watched a demo. Good training also sets clear rules on what data goes in and how answers get checked, and someone checks in afterwards to make sure it’s sticking.

Per person or per session?

Watch how the price is quoted. Some providers charge per person, which gets expensive fast as your team grows. Others charge per session, so the price is the same for 8 people or 20. For a small business, a per-session price is usually better value.

How to tell if it’s worth it: a typical example

Say 10 people each save just 1 hour a week after a workshop. That’s 10 hours a week, worth around £200 a week at £20 an hour, or about £10,400 a year. A £2,000 workshop would pay for itself in about 10 weeks. This is a typical example, so swap in your own numbers.

Questions to ask any AI training provider

1. Will you use our own tasks and documents, or generic examples?
2. Is the price per person or per session, and is VAT included?
3. Who actually delivers it, and have they run a business?
4. Do you cover safe use: what data goes in, and how outputs are checked?
5. What happens afterwards? Is there a follow-up?
6. Which AI tools do you cover, and will you help us choose?

What our workshops cost

Our prices are on our pricing page, and every workshop is priced per session, not per person: a 1:1 with the MD from £1,000 + VAT, a Senior Leadership Team session from £2,000 + VAT, and a Department Deep Dive from £2,500 + VAT. Each one uses your own work and includes a 30-day check-in. If you’d rather we simply set AI up for one job, our fixed-price setups start at £595 + VAT.

Start free

Not sure you need paid training yet? Try a free government course, then take our 3-minute AI Readiness Check to see where AI could save your business the most time.

We’re not IT people. We’re business leaders who’ve put AI to work across sales, finance, operations and marketing, and we’ll talk to you in plain business terms. See how our workshops work.

Growing pains like this are normal in a business that has grown quickly, and they’re fixable. Take the free Growing Pains Check to see where your business stands in three minutes, or book a free call about a Growing Pains Diagnostic: half a day with you and your business, then a written 90-day plan with the three changes that matter most.

See how the workshops work →

Or book a free 30-minute call with us →

The hardest thing for the MD of a growing business is getting their week back. This is how one MD used AI to take the routine thinking and admin off his desk.

I built an AI leadership team in Claude this week: six named agents, each with one job, sitting alongside the real people who run the business with me.

I built this in Claude, the AI assistant we use most day to day. We’ll set you up with whichever AI tool suits your business.

How an AI Leadership Team Works

Every MD has a pile of jobs that never quite reach the top. Mine were the inbox, the pipeline, the website and the numbers I meant to check on Friday.

So I gave each pile an owner. Each agent is a Claude skill, which is a folder of written instructions Claude loads when the job comes up. Anthropic’s guide to what Claude skills are explains the mechanics. There’s no coding. The work is putting your standards on paper.

Here’s the team:

Agent	Role	What it does for me
Bob	Chief of Staff	Takes every new task, scores it and hands it to the right owner
Quinny	Finance Director	Margin, cash, costs and what drives the value of the business
Wolf	Sales Director	Reads the pipeline and activity sheets, finds leads, keeps the CRM
Megan	PA	Turns Outlook, Teams, Slack and my calendar into one list for the day
Kyle	Marketing Manager	Sweeps the website for broken links and conversion leaks
Claire	Wellbeing	Checks the tone of a message before I send it

Yes, they have names. It sounds daft until you try it. “Ask Wolf” is quicker to say than “analyse the sales pipeline against target”, and the team remembers who does what.

If you’d like help putting your own leadership jobs on paper, that’s exactly what we work through in a 30-minute call. Most owners have three of these agents’ worth of work sitting in their inbox already.

Start With a Chief of Staff, Not a Specialist

The most useful agent isn’t the clever one. It’s the one that decides what to do first.

Bob scores each incoming job from 1 to 5 on four things:

Money: the pound impact on sales, margin or cost
Urgency: a real deadline, or someone waiting
Only me: does it need the MD, or could someone else do it?
Effort: quick jobs score higher

A total of 15 or more means now. 11 to 14 means this week. 6 or under gets parked, and Bob says so plainly. Parking is a decision, not a failure.

That scoring is the bit I’d copy first. It works on a sticky note, never mind in an AI leadership team. It grew out of the day-to-day jobs I wrote about in what I actually use AI for.

Give Every Agent One Job and Hard Rules

Vague agents give vague answers. Each skill file says what the agent does, which files it reads, what the output looks like and what it must never do.

The rules matter more than the instructions. Mine are short:

Nothing gets sent, deleted, bought or changed without my yes
Rep comparisons and coaching notes are for my eyes only
Every number traces back to a file and a cell
Estimates are marked as estimates

If you’re handing an AI tool access to your inbox and files, the ICO’s guidance on AI and data protection is worth an hour of your time. Write your rules before you connect anything. If you want a second pair of eyes on them, that’s what advisory is for.

Put Your AI Agents on a Schedule

An agent you have to remember to ask is just another job on the list.

So four of mine run on their own. Megan sends a daily brief. Wolf does a Monday pipeline review. Kyle runs a site sweep. Claire does a Friday check-in on my week. Claude’s scheduled tasks run even when my laptop is shut, which is most of Sunday.

This is where AI agents for small business stop being a toy. The Monday review lands before the sales meeting, not after it.

What Didn’t Work First Time

I’d love to tell you it all clicked. It didn’t.

Megan couldn’t see Microsoft To Do through the connector, so flagged emails became her task list instead. Wolf couldn’t read two of the sales team’s diaries until each person shared them at the “Can view all details” level. I’d assumed that being able to see them in Outlook was enough. It wasn’t.

I also missed an obvious hire. I built five agents, looked at the list and realised there was no Sales Director. A glaring omission for a business with a field sales team. Wolf was added soon after.

And none of it replaces judgement. Quinny can tell you margin has slipped. It won’t tell you whether to have the difficult conversation with a supplier. That’s still your job.

Andrew’s Final Thoughts

An AI leadership team won’t run your business. It will stop the important-but-not-urgent jobs falling off the end of every week. Start with one chief of staff and a scoring rule. Add specialists only when you can write down exactly what good looks like. If you’d rather not start from a blank page, our workshops build the first two agents with you.

AI Leadership Team FAQs

What is an AI leadership team?

An AI leadership team is a set of AI agents, each set up to do one leadership job, such as finance, sales or diary management. In Claude, each one is set up as a skill: written instructions, the sources it reads and the rules it must follow. They support the people running the business. They don’t replace them.

Do I need to code to build AI agents?

No. Skills are written in plain English: what the job is, where the information lives, what the result should look like and what’s off limits. The hard part is being clear about the standard you expect. Few owners have ever written that down.

Is it safe to connect AI agents to email and company files?

It can be, if you set the rules first. Give agents read access where you can, and require your approval before anything is sent, deleted or bought. Keep sensitive comparisons private, and check your data protection position before connecting customer data.

How long does it take to build an AI leadership team?

A first working version of each agent takes an hour or two once you know what you want. The time goes on fixing access, such as calendar sharing and file locations, and on tightening instructions after the first few runs. Begin with a single agent and add the next once it earns its place.

Which AI agent should a small business build first?

Build the triage agent first: one that sorts and prioritises incoming work. It saves time on day one and makes every other agent more useful, because it decides what each of them should pick up. Next, build whichever job you most often put off. For many MDs, that’s the weekly sales report.

We’re not IT people. We’re business leaders who’ve put AI to work across sales, finance, operations and marketing. We can set this up for you, train your team and hand it over, or keep running it for you each month.

Growing pains like this are normal in a business that has grown quickly, and they’re fixable. Take the free Growing Pains Check to see where your business stands in three minutes, or book a free call about a Growing Pains Diagnostic: half a day with you and your business, then a written 90-day plan with the three changes that matter most.

See how the workshops work →

Or book a free 30-minute call with us →