By Greg Allan, tradesman and creator of Data First Coaching
What office work actually piles up for a plasterer?
Most plastering businesses carry a layer of admin that never gets billed to a job: writing up crew notes into invoices, chasing builders for sign off on variations, sorting emails between genuine enquiries and complaints, and rebuilding a quote from scratch for every cornice run, bulkhead or renovation patch. None of that shows up in the square metre rate, but all of it eats the evening hours a plasterer should be spending with family or planning which crew goes where tomorrow.
A plastering business running crews across several sites might have sheeting going in on one job, setting and stopping underway on another, and a finishing crew sanding and prepping for paint on a third. Each site produces its own paper trail: quantities sheeted, coats applied, drying time between coats, a variation the builder agreed to on site. Turning that into a job note and an invoice the builder won't query usually falls to the owner after hours, because nobody else has seen the whole picture.
Why does a job that looked profitable on the quote lose money once the office work is counted?
Because the hours spent on job notes, chasing builders and rebuilding quotes don't disappear, they get spread as overhead across every job the plastering business runs, including the one that looked tight but fine on paper. A plasterer who only checks the square metre rate against the quote is looking at half the picture; the other half is sitting in hours nobody tracked.
Picture a plasterer running two or three crews across different renovation sites, who could never get an accurate cost of operations figure. Every hour spent on invoicing, chasing a builder for payment, or rebuilding a quote from an old one was non-billable, and when that time was loaded onto the jobs as overhead it added a heavy hourly cost to every job, enough to make most of them look unprofitable. Strip those hours out altogether instead and the figure dropped so low it was clearly wrong the other way. The true cost of running that plastering business per billable hour was sitting somewhere in between, in the data, not in a feeling about how flat out the crews had been.
What exactly is an AI agent, and how is it different to software a plasterer already uses?
An AI agent is software that does a piece of office work the way you would do it yourself, using your prices, your wording and your own rules, rather than a generic template every trade gets handed. For a plasterer, that could mean an agent that knows your rates for sheeting versus setting, your standard drying time between coats, and how you word a proposal to a builder, so the output reads like it came from you.
Off the shelf invoicing or quoting software is built for every trade at once, from a sparky to a landscaper. A plastering business that owns tools shaped around its own jobs, how it costs a square set bulkhead or handles a water damage patch on a ceiling, gets something fitted to how work actually runs on site. Some off the shelf tools still earn their place; the data in your own business shows which ones to keep and which jobs you'd rather hand to an AI agent.
What office work can an AI agent actually take off a plasterer's desk?
The work Greg's method looks at first is the paperwork that follows every finished job: taking rough site notes from the crew about sheeting, cornice runs or patching and turning them straight into a proper job note and the detail an invoice needs, without you retyping it at night. The same kind of agent can sort incoming emails overnight into builder enquiries, price objections and confirmed starts, and build a proposal document straight from a past quote so the next renovation enquiry gets a professional answer without you touching every message.
Picture builder emails landing through the day: one asking for a square metre rate on a new build, one querying a variation on a fire rated wall, one just confirming a start date. AI agents sorting that inbox overnight mean you open it to a short list that actually needs a decision, not a pile to wade through before the first site visit. This is data first thinking: the agent works from how your plastering business actually prices and writes things, not a guess at it.
Can an AI agent chase builders for payment and still quote jobs accurately?
Yes, an agent can be set up to follow up overdue invoices in your own wording and tone, the same way you would chase a builder for payment, without it reading like a debt collector's letter. But an agent is another staff member, not a magic fix: it needs to be told clearly how your plastering business prices a job, what counts as a variation, and how drying time between coats affects a schedule before it can be trusted with quoting or invoicing on its own.
That training is what separates a plasterer who owns a tool shaped around their own jobs from one renting software built for nobody in particular. The clearer the rules you give it, the more of the non-billable work it can carry, and the more of the week stays on site where the billable hours actually are.
How does Data First Coaching approach this?
Data First Coaching starts from the plastering business's own numbers through the Trade Business Intelligence, not from a description of how busy the crews have been. For a question like this one, that means looking at where the non-billable hours actually sit, which jobs are really carrying the office work, and where the true cost of operations starts to drift from the figure on the quote. Greg puts it simply: “think of AI as well as I see these agents as another staff member.” The how, which agent to build first and how to set its rules, is worked through inside the Academy, with members who are open minded, innovative and willing to share what they learn, because the Trade Business Intelligence is powered by every member for every member.
Looking for a business coach who starts from your numbers? Plasterer Business Coach or every answer for plasterers.
