AI IN THE TRADES
How I Actually Use AI in My Landscaping Business
Written by the landscaper who built SmartTradie
I run a landscaping business, not an AI business.
Most of my day is still pricing jobs, doing the work and dealing with customers. But I now use AI for quite a few of the bits around the job — quoting, paperwork, planning, finding information and making sense of admin.
These are the things I’ve actually kept using because they save me time.
Quoting
This is the biggest one for me.
Before SmartTradie, I’d often finish a job, get home later and try to rebuild the quote from notes, photos and whatever I could remember.
Now I talk the job through while it’s still fresh — what the customer wants, the work involved, anything important about access or waste, and the price I want to charge. SmartTradie turns that into a structured quote I can check, edit and send.
The important bit is that AI doesn’t decide what I charge. I do.
It saves me from having to sit down at night and turn a rough set of notes into something presentable from scratch.
I also built a simple free quote cost calculator to see what site visits and writing quotes up are actually costing in time and travel.
Terms, payments and awkward paperwork
I often know what I want my payment terms and terms and conditions to say, but not necessarily how to write them properly.
I can explain how I want things to work — deposits, stage payments, cancellations, changes to the job, late payments and so on — and ChatGPT can turn that into a professional first draft.
It can also point out things I may have forgotten to cover.
I’d still get anything legally important checked properly, but it’s a much easier way to build the document in the first place.
Customer messages
This is a simple one, but I use it quite a lot.
Sometimes I know exactly what I want to say but don’t want a quick reply to sound too blunt. I’ll write the rough version and ask AI to make it clearer or more professional without turning it into corporate nonsense.
It’s useful for things like explaining a delay, chasing information, turning down a job, clarifying what is included in a quote or replying to an awkward message.
Tools, machines and part numbers
This has been one of the more useful unexpected uses.
I’ve given AI details of some of the machines and tools I own, so I can ask more specific questions about them later.
If I need a part for a Stihl machine, for example, I can give it the model and ask it to help narrow down the part number or find the right section of the manual.
The same goes for manuals. Instead of trawling through a long PDF looking for one setting, specification or maintenance instruction, I can ask a specific question.
I still check anything important before ordering or acting on it, but it can save a surprising amount of digging around.
If I’m deciding whether a machine is worth owning rather than hiring, I’ve also built a hire or buy plant & equipment calculator.
Planning a full working day
This is more useful to me than just asking for the shortest route.
I can give it five or six jobs, where they are, roughly how long each one should take and any customer time restrictions.
Then I can ask it to work out expected arrival times, when I should be leaving each job, how long the drive to the next one should take and whether I’ve tried to fit too much into the day.
If somebody cancels or a job overruns, I can give it the new situation and ask it to rebuild the rest of the day.
Risk assessments and method statements (RAMS)
If I need a RAMS document, AI is useful for getting the first draft structured.
I can explain the job, equipment, access and hazards, and ask it to help organise the risk assessment and method statement.
It can also prompt things I may need to think about.
I wouldn’t send an AI-generated RAMS without checking it properly. It still has to match the real job and the actual controls being used.
Understanding insurance documents
Insurance wording can be hard work.
Rather than asking AI, “Am I covered?”, I’d rather give it the policy and ask specific questions.
For example: find the section about subcontractors, what does it say about hired plant, are there height restrictions, what exclusions should I ask my broker about?
That’s useful.
I’d still confirm anything important with the insurer or broker, but AI can make a long policy much easier to understand.
Looking at the business numbers
QuickBooks already tells me what came in and what went out.
What I find useful is being able to question the numbers in plain English.
I can compare two P&Ls and ask what has changed most, which costs are rising faster than turnover, whether subcontractor spend looks high, or what might be worth asking my accountant about.
I’m not using AI instead of an accountant.
I’m using it to ask:
“What am I not noticing?”
Reading long documents
This is another one I find useful.
Tender documents, specifications, contracts, technical sheets and manuals can be long, while the bit that actually matters might be buried halfway through.
AI is good for asking specific questions such as:
What needs pricing? What insurance is required? What paperwork is needed? What looks unusual?
I still check the original wording before relying on anything important.
Turning what’s in my head into a system
A lot of a small trade business lives in the owner’s head.
AI is useful for turning that into simple checklists or job sheets.
That might be a van-load list, pre-start checklist, maintenance routine or instructions for somebody working with me.
The useful bit isn’t that AI knows how I run the business.
It’s that I can explain it once and turn it into something repeatable.
Building websites and simple tools
AI has also let me build things I probably wouldn’t have built myself a few years ago.
I’ve used tools like Lovable to build and improve websites, calculators and small tools.
It still needs plenty of checking, but it’s made trying out an idea much quicker.
One thing I might use in future
I don’t use an AI call-answering service at the moment because most of my enquiries come through email or WhatsApp.
If the phone was ringing constantly while I was working, I’d consider one for collecting basic job details. I still wouldn’t want it agreeing prices or dates without my say-so.
Where I think AI can go too far
I’m much more sceptical about AI pricing jobs.
A photo doesn’t show you everything. Access, waste, ground conditions, what is underneath something and how long your own team will take all matter.
I’m happy for AI to organise my information. I’m much less interested in letting it make the commercial decision for me.
That’s why SmartTradie works the way it does:
I decide what the job costs. SmartTradie helps turn that into the quote.
So is AI useful for tradespeople?
For me, yes.
Not because it knows the trade better than I do. The useful bit is everything around the work — admin, paperwork, planning and getting things out of my head and into something usable.
That’s where I get the value from it.
SmartTradie is the quoting tool I built for my own use. It turns a voice note into a quote you can check and send.
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