What AI can prepare in a trade quote

Start with the information you already collect

Think about the last quote that held you up. The customer's request might have arrived by email, the measurements sat in your notes, and the photos were on your phone. Before you priced anything, you had to pull the job together. That preparation is a sensible place to look for help.

Depending on the inputs and how a quoting workflow is built, AI can help organise the request, outline the scope, draft a description and flag missing information. It needs the actual job details and your quoting rules. If a system has never received your rates, it should not invent them.

Separate preparation from the decision

A useful draft makes the job easier to assess. It puts the available information in a consistent format so you can see what is included, what is unclear and what still needs a decision. It should also distinguish customer instructions from assumptions introduced while preparing the draft.

That does not mean every job suits the same process. A repeat service with a defined scope is different from work where access, existing conditions or design changes affect the price. For uncertain work, the right output may be a list of questions or a site visit request rather than a completed quote.

Check these before anything is sent

The owner or responsible estimator needs a review they can actually perform. A polished document can hide a bad assumption just as easily as a messy one. Check the underlying job information before spending time tidying the wording.

• Scope: does the draft match what the customer requested, including exclusions and work by other trades?
• Quantities: can you trace measurements and material quantities back to the source?
• Rates: are labour, materials and other charges drawn from your approved pricing information?
• Conditions: are access, travel, equipment and disposal requirements accounted for where relevant?
• Unknowns: are missing details visible, with someone responsible for resolving them?

Trial it on a small set of real jobs

Pick a job type you understand well and compare assisted drafts with your normal process. Record preparation time, corrections and missing details. Use a consistent starting point: counting only the time spent writing makes little sense if gathering the inputs is where most of the work happens.

Include an awkward job in the trial. You want to see whether the process flags uncertainty and hands the decision back to you. Useful quoting assistance produces a draft you can trust enough to review, with a clear approval step before it reaches the customer.