A building products company sells through a stack of documents. Every window, door, surface, or fixture comes with spec sheets, install guides, warranties, and test reports, and every contractor and dealer asks questions those documents already answer.
Where does AI help a building products company first?
In the document work your sales and support people repeat every day.
- Spec sheets. Drafting the same spec sheet in the format each architect, dealer, or retailer wants, from one approved source.
- Submittal packages. Pulling the right spec sheets, warranties, and test reports for the products on a project into one package. A person checks it before it goes out.
- Contractor and dealer questions. "Will this fit a rough opening this size?" "Which sealant goes with this surface?" A tool that answers only from your own catalogs, install guides, and warranty terms, and says so when the answer is not in them.
- Quote prep. Reading a takeoff or an emailed product list, matching it to your item numbers, and drafting the quote for your rep to check.
- Product data cleanup. Finding the discontinued item still on the price list, the finish named three different ways, and the product with two weights in two systems.
Where should AI stay out?
Anything that tells someone a product meets code, a fire rating, a structural load, or a safety requirement. Those statements come from tested documents and a person who signs off on them. The tool can find the right test report and draft the cover letter. A person confirms what it says before it reaches a contractor or an inspector.
Can a tool answer contractor questions without making things up?
Yes, when it is built to answer only from your documents and to show which document each answer came from. That is a build, set up and tested on your real catalog, with a person reviewing answers until you trust it. A general chatbot that answers from the open internet will mix your products with a competitor's. Tell the tool what to do when it does not know: hand the question to a person.
What does this look like in a real company?
I am the fractional CTO at Quartz Importers MN, a supplier of quartz surfaces. I built an AI agent platform and a knowledge graph for the sales team, and the platform took in the whole market the company sells into in about 30 days. The full story is in the Quartz Importers case study.
What does it cost to start?
The smallest step is "the AI you already pay for," a 90-minute on-site session for $450. We turn on what helps the sales desk and the support line this month with tools you already have. If you want sales, support, and product people in the room, a half-day workshop is $1,500 and you leave with a ranked list of what to fix first. Builds, like a contractor question tool or a submittal assembler, are scoped at a fixed price or run at $150 an hour on AI agents and workflow automation.
Do our documents need to be cleaned up first?
They need to be findable and current. An old spec sheet sitting next to the new one is the first thing to fix, because the tool will answer from whichever one it finds. A document library with one owner per document, and the old versions labeled as old, is enough to start.
Answered by Jared Lukes, Minneapolis. Twenty-five years in brand, UX, and technology, currently holding fractional AI and technology seats at three companies. About Jared.