# AI for Manufacturers: Put Product Expertise to Work URL: https://spliceops.lrgfrmt.com/industries/manufacturing/ > Product knowledge stuck with one or two specialists? We capture it in a brain that matches products to use cases and refuses claims you can't make. # AI for manufacturing that starts with what your experts know In a lot of manufacturers, the answers about the products live with one or two specialists. We capture what they know and put it to work in sales and support. There's an accountable person behind every decision that matters. **Book a working session** → /book Credited in full against your engagement. ## Your best product knowledge lives in one or two heads - A customer asks whether a product will hold up in their process. The question sits in a specialist's inbox while the rep and the customer both wait, and the specialist spends another week answering questions instead of improving the product. - **Matching a product to a use case takes a specialist.** When they're busy, the match is a guess, or it doesn't happen. - One wrong promise costs more than a slow answer. A rep says a product can do something it can't, and the company has to walk it back. - New reps learn the catalog by asking the same overloaded people. When a specialist is out, questions wait until they're back. When one leaves, much of what they knew leaves too. If you've tried a chatbot on the product sheets, you've seen it answer confidently and sometimes wrongly, with no way to tell which. ## What we build with your specialists The work starts with your specialists, and everything we build lives inside the systems you already use. ### A product brain built from your specialists We sit with the people who know your products and write down how they think: which product fits which use case, where each one stops working, and the exceptions they carry around in their heads. That goes into one shared brain your people can ask. Every answer shows where it came from. ### Answers that refuse what you can't stand behind The brain matches products to use cases and won't promise what a product can't do. If a question goes beyond what your specialists have confirmed, it says so and hands the question to a person. ### Agents that start the work Once people trust the brain, agents stop waiting to be asked. A few first workflows we might build together: | Workflow | Agents start and run | A person decides at | |---|---|---| | Technical inquiry | An inquiry arrives: agents find the right product in the brain, draft the answer and cite the source | Anything outside a product's confirmed uses | | Inbound lead | A new lead comes in: agents research and enrich it, draft a reply and book the meeting | Outreach to strategic accounts | | Sales call prep | Agents research the buyer and prepare a tailored deck for the rep before the meeting | What's promised to the customer | Your specialists set what the agents may answer and approve, and they stay accountable for it. ## A specialty chemicals manufacturer **Client · A specialty chemicals manufacturer · In progress** - **The situation:** the company's product expertise lived with one or two people. - **What we're building:** a brain that matches the right product to each use case and holds back claims the company can't make. - **How:** by working directly with the company's specialists and capturing how they decide which product fits which use case. - **Our role:** - **Next:** sales agents that find the right buyers, research them, run campaigns, prepare reps with tailored decks, support them live on calls and handle follow-up. ## Where you start If you have the tools but the work hasn't changed, start with [AI-absent → AI-enabled](https://spliceops.lrgfrmt.com/services/ai-enabled): your company's knowledge feeding one shared brain your people use every day, and your first critical workflow run by agents. If that workflow already runs on agents, but most work still waits to be asked, start with [AI-enabled → AI-native](https://spliceops.lrgfrmt.com/services/ai-native). Either way, the first step is one focused day with us on one of your real workflows, and you leave with a working prototype. See [how it works](https://spliceops.lrgfrmt.com/how-it-works), or read more for [CEOs and boards](https://spliceops.lrgfrmt.com/for/ceos-and-boards) and [technology leaders](https://spliceops.lrgfrmt.com/for/technology-leaders). ## Questions manufacturers ask ### Who's accountable when the AI gets it wrong? A person on your side. There's an accountable person behind every decision that matters, and agents can handle some approvals that person has permissioned. Before anything runs, we agree who is accountable and what each agent may approve. ### How fast will we see something? You get something usable from the first session. Once we've seen your workflow there, we tell you how long it will take to reach production. ### Is our data safe? Your data stays in the systems you already use. We work inside them, with only the access you give us, under NDA. ### What does it cost? Talk to us. We scope the work with you during the working session, which is credited in full against your engagement. ## Start with what your experts know Bring the questions that always end up on the same two desks, and we'll spend a day working through one of them with you. **Book a working session** → /book Credited in full against your engagement.