AI automation for trade contractors

The common builds turn inbound job emails and calls into scheduled jobs, generate quotes and invoices from completed work, chase overdue payments, and produce compliance reports: the admin either side of the actual job.

Trade businesses run on the same handful of systems: a job management platform like SimPRO or ServiceM8, Xero for the accounts, an inbox and a phone. The work piles up in the gaps between them, where somebody re-types the same job details three times. A workflow reads the inbound request, creates the job with the site address and the fault, and pushes the invoice through when the job closes. Kontrol AI's live client pipelines process jobs this way every day, with current job counts and hours saved published on the home page.

Usually inbound job intake: turning emails, forms and calls into jobs in your system. It is high volume, it happens before anything else can go wrong, and it is the step most often still done by hand.

Start where the volume is highest and the process is clearest, not where the technology is most interesting. Intake qualifies on both counts: the same few fields get typed over and over, and a missed request costs a job. Invoicing is usually second, being equally repetitive and tied directly to cash. What to leave alone early on is anything involving pricing judgment or a difficult customer conversation. If you don't know where your hours go, describe a normal week using the question form or by email, and Chris will reply with what looks worth automating first.

Kontrol AI's live client pipelines take the typing out of job intake and invoicing, with hours removed and job counts published on the home page and refreshed daily from production data.

The detail matters more than the headline. Job intake has been live since 21 May 2026 and invoicing since 2 July 2026, and every run is logged, so the hours are measured rather than estimated. The current totals, hours of admin removed and jobs automated, are published on the home page and refreshed daily from production data. The saving scales with volume, so a business doing 20 jobs a week sees materially less than one doing 100. Ask any consultant for the period and the job count behind their number.

Yes. A working automation should be close to invisible. If you notice it at all, it's because a job appeared in your system without anyone typing it in, or a question arrived asking you to check one thing.

The build happens inside the systems you already use, so nothing new lands on your phone. Where a decision is genuinely needed, it arrives as an ordinary message with the original request attached, not as a dashboard you have to log into. The one thing that does need your time is the mapping conversation at the start, because the process lives in your head and has to be described before it can be built. That is a single conversation, not a training course.

There is almost always a way in: a scheduled export, an emailed report, a database connection, or a screen-level tool as a last resort. The real question is whether the workaround is stable enough to depend on.

Modern cloud tools like SimPRO, ServiceM8, Xero and Microsoft 365 all have APIs, so this comes up mainly with older or industry-specific systems. Where none exists, the usual approach is a scheduled file export that the workflow picks up: reliable, but not instant. Screen-driven automation is possible and occasionally the right call, but it is brittle and worth avoiding unless the alternative is re-keying forever. Either way it gets tested against real data before anyone depends on it.