— Industry

AI automation and custom software for trades businesses

Trades businesses run on enquiries, quotes and jobs moving through people’s heads and group chats. The businesses that scale are the ones that turn that into a system without losing the speed that wins the job.

These are example patterns for discussion, not a claim that a customer's systems are already integrated or that particular time savings have been achieved.

01

Common operational problems

•Enquiries arrive by phone, text, web form and email, with no single place they all land
•Quoting is inconsistent because pricing logic lives in someone’s head, not a system
•Customers call to ask "where is my tradesperson" because there is no visibility
•Compliance paperwork (licences, insurances, safety checks) is tracked manually or not at all
02

An example workflow

01Enquiry (phone/text/web/email) → AI intake and classification
02Job details extracted → checked against pricing rules
03Draft quote generated → human review and approval
04Quote sent → automatic follow-up if no response
05Job scheduled → status visible without a phone call
03

Where AI helps specifically

•Unified enquiry intake across channels, routed and logged in one place
•AI-assisted quoting from structured job details, always reviewed before it goes out
•Automatic follow-up sequences for quotes that go quiet
•Compliance tracking with alerts before licences or insurances lapse
04

Working with your existing software

Most trades businesses already run a job management tool (e.g. ServiceM8-style software), an accounting package and a phone/messaging system. I build around what you already use rather than replacing it — see my approach to integrations.

05

Where human approval stays in the loop

Quotes and customer-facing communication are drafted by the system and approved by a person before they go out. Pricing rules are explicit and reviewable, not a black box.

06

Why it's worth doing

The clearest return is time not spent re-keying job details and chasing quotes, plus fewer missed follow-ups. Measure actual quote-preparation time before and after the workflow changes. The return depends on actual business volumes and processes, not a generic hours-saved claim.

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