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AI quoting for electricians: what it can prepare, what you still check

Ivan Barnett, Flowstate ·

A useful starting point for AI quoting is preparing a draft from information you supply. That keeps the scope clear: the job details, quantities and prices come from you, and you review the quote before it goes to the customer.

That's the first quoting workflow we're developing at Flowstate. It isn't a claim that a finished system can independently estimate an electrical job. Here's the process we're designing around, and the questions to settle before building it into a business.

Start with a real quote

Take a recent job and trace how its quote was prepared. Where were the notes? Who supplied the quantities? Where did the prices come from? What had to be clarified before the quote could go out?

This shows which work is information gathering, which is preparation and which requires a decision. It also gives you a concrete example to assess, instead of trying to automate “quoting” as one large, undefined task.

Give the workflow the inputs it needs

For the initial workflow, the owner supplies the job information, quantities and prices. An information-gathering skill checks for missing details before a draft is prepared.

That checking step matters. A polished draft can still be incomplete. For this scope, missing information should be brought back for clarification, rather than silently filled in with invented job details or prices.

Business context matters too: how you describe work, the process you follow and the information you require before a quote is ready. Those requirements belong in the agreed implementation.

Verify the connection to your job software

Preparing a draft in the job-management system depends on the access and functions that system makes available. That needs checking for the actual workflow before promising an integration.

The questions are practical: can the implementation create the required draft, put information in the correct fields, and leave it ready for review? What should happen if information is missing or the connection fails?

Those questions help define the build. They should be answered before treating the workflow as ready for everyday use.

Keep a deliberate review before sending

For this first scope, review remains with the owner. Check:

Independent calculation of quantities and prices is outside the initial scope. Draft preparation and estimating decisions need to be distinguished when you agree what the implementation will do.

Treat follow-up as a separate step

Preparing a quote and deciding whether to chase it are different tasks. Before automating reminders, establish how the workflow will know whether the quote was accepted, declined, changed or already followed up.

Follow-up can be considered later under its own scope. It should have reliable status information before sending customer messages.

Test the value with actual work

Before a pilot, record how long the existing preparation process takes and what causes rework. During the pilot, include the time spent supplying information, correcting the draft and reviewing it.

Compare similar jobs and keep a record of the problems the workflow encounters. That gives you a basis for deciding whether it is helping. Producing a draft quickly, on its own, doesn't establish the overall time saved.

We aren't quoting a measured customer saving for this workflow. It is in development, and results would need to be established in use.

Start with a quoting diagnostic

Flowstate's paid quoting and estimating diagnostic maps how the work happens today, identifies the information and system requirements, and recommends a first implementation. The build is scoped separately.

See what the workflow diagnostic includes →

Bring a recent quote to a free discovery call and we'll work out whether that assessment would be useful for your business.