For building-materials manufacturers
An AI technical agent that answers product questions from your own published documents, by voice or chat. It cites the page. When the answer isn't there, it says so and hands the question to your team.
A specifier is on your site, mid-evaluation, already leaning toward your product. They need one number. The document exists. They cannot find it in ninety seconds, so they find it on a competitor's site instead, and nothing about that shows up in any report you receive.
Answerable in their words rather than your document index. They stay on your site instead of leaving it.
Coverage rates, lap widths, temperature limits, substrate prep. Resolved without a person, at any hour, and on the Friday of a long weekend.
Who was evaluating you, what they asked, what they could not find, and exactly where your documentation has holes.
General AI assistants answer questions about your products today, from a competitor's page or a ten-year-old bulletin, on a surface you cannot see or correct.
The agent does not replace anyone on your technical staff. It removes one category of interruption and leaves a record where there was not one.
Most of what reaches a technical line is already answered in a published document. Side lap dimensions, fastener spacing, cure times, temperature limits, what the current revision actually says. Those questions arrive one at a time, by phone, at whatever hour the crew is standing on the wall, and each one costs a specialist the stop, the look-up and the return to whatever they were doing. The agent answers those from the document and opens the page it came from. Your people keep the questions that need judgment.
A specification that cannot be confirmed on Friday afternoon is not always a specification on Monday. The agent does not keep office hours, and the answer does not depend on which person happened to pick up.
Every question and every answer is written down, with the document and the page it came from. A phone call leaves nothing behind. If a contractor says they were told something, you can check what was actually said. Over a quarter that same record shows you which questions your literature does not answer — the part most manufacturers have never been able to see.
What we are not claiming: we have no before-and-after measurement of call volume, because no deployment has run long enough to produce one. What is described above follows from how the system works, not from a study.
Twenty minutes about how technical questions reach you today. If it fits, the next step is a working agent built on your own published documents, so you are evaluating your products rather than a demo.
Noremac AI is a technical agent that answers product questions from a building-materials manufacturer's own published documents, on the manufacturer's website and technical phone line. Every answer opens the source document at the page it came from.
The agent says so plainly, captures the contact, and routes the question to the manufacturer's team with the conversation attached. It does not guess and it does not hedge into something that sounds like an answer.
Building-materials manufacturers who publish technical literature and whose products are specified by architects and engineers or installed by trained installers.