The three cost layers
Layer one: general AI assistants. The chat tools everyone knows. All of the major ones have free tiers that are genuinely useful for drafting, summarising, and thinking things through. Paid plans are modest monthly subscriptions per person, in the price territory of a streaming service rather than a software project.
Layer two: purpose-built tools. Booking systems, quoting and invoicing add-ons, phone answering, review management, bookkeeping automation. These are monthly subscriptions, usually priced per user or by volume. This layer is where most of a local business's real value sits, and a typical business needs two or three of them, not ten.
Layer three: custom and connected systems. Software built or wired together specifically for you. This is the expensive layer, and the honest advice is that most small businesses do not need it yet. Exhaust layers one and two first.
What actually drives the cost up
Four things move the number: how many staff need seats, how much volume you push through (calls, messages, documents), how many systems need to talk to each other, and the one cost nobody prices: your own time to set things up and learn them. A cheap tool you never properly set up is more expensive than a dearer one that works on day one.
The costs that never appear on a pricing page
Subscription sprawl
Tools trialled, forgotten, and still billing. Most businesses that have dabbled in AI are paying for more tools than they use. An honest stocktake usually funds the tools you actually need.
Staff hours
Every tool costs learning time. Three tools adopted properly beat eight tools adopted badly, every time.
Bad automation
A wrong message sent automatically to a real customer costs more than a year of subscriptions. This is why anything customer-facing should need your sign-off before it goes out.
Picking wrong the first time
The biggest cost in most AI stories is the false start: months of effort on the wrong tool, then starting again. It is the cost that makes a few hours of independent advice cheap.
How to work out your own number
Pick your single biggest leak: the hours that hurt most or the enquiries that go cold. Estimate the hours a week it eats, multiply by what your hour is worth, and compare that with the monthly cost of the one tool that addresses it. If the tool costs less than the hours, trial it. Set a calendar reminder for the end of the trial and make a real decision: keep it or kill it. Then, and only then, move to the next leak.
Prove it small before you spend big. One tool, one month, your own numbers.
Why I will not quote exact prices here
Vendors change prices and plans constantly, and a blog that says a tool costs a specific amount is wrong within months. When I write an AI Plan for a business, every recommended tool is listed with its current price, checked on the day, so the owner sees the true monthly cost of the whole plan before spending anything. That is the standard you should hold any advice to: named tools, current prices, totals.
A worked example
Take a two-person trade business as an illustration. The owner spends three evenings a week on quotes and invoices, call it six hours, and misses a handful of calls a week while on the tools.
Price the leak first: six hours of evening admin at whatever your hour is honestly worth, plus one lost job a month from missed calls. Then price the fix: one answering tool and one quoting and invoicing add-on, both modest monthly subscriptions, together costing less than a single recovered job in almost any trade.
The point of the example is not the specific tools. It is the order of operations: price the leak, then price the fix, and only pay when the first number is clearly bigger. Run it with your own numbers and the decision usually stops being a debate.
Why take this from me
I pay for AI tools across six ventures of my own, including a retail brand doing around seven figures a year, so the costs in this guide are the kind I watch on my own bank statement, not read in a brochure. Before that I spent ten years advising clients on New Zealand projects, where knowing the true cost of a decision before committing was the whole job. Provan sells advice, not software, so nothing in this article is priced to sell you anything.
Common questions
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