AI for construction companies starts with the invoices.

A specialty contractor's AP desk sees the same kinds of invoice every week: supply-house invoices against job POs, ready-mix tickets, equipment rental, and monthly billings from your own sub-tier subs. A project accountant codes each one to a job, a cost code and a cost type, often while chasing lien waivers from the same vendors. Twenty to thirty of those invoices, with the coding your team already posted, make a complete test with an answer on file for every line.

Pay applications look like the bigger prize, but they make a poor first test. Each job produces one a month, so gathering 20 to 30 means reaching back across several jobs and many months. Invoices pile up in a week. Get the coding right first, and pay apps and job-cost reports later build on data that is already coded the same way.

The test doesn't depend on which system holds your books. Sage, Foundation or another construction package, with or without Procore: it needs copies of the invoices and an export of your job and cost code lists. No login, no integration, and no change to how your team works while it runs.

There is also a reason this matters now. Specialty contracting is being bought and combined: EC&M reported in March 2026 that most electrical contractor acquisitions since 2020 have been buyouts, led by financial buyers building platform companies. When shops are combined, each one arrives with its own cost code list and its own habits, and invoice coding is where those differences show up first.