We Added a Custom AI Chat to Our Website in One Afternoon

The problem with FAQ pages

We had a perfectly good FAQ section on our site. Seven questions, clear answers, covers the most common objections. Nobody read it.

The people who needed it most — the ones still unsure whether AI deployment is realistic for their business — were bouncing before they scrolled that far. And the ones who did scroll past it wanted answers to questions we hadn't thought to list.

So we built something better. If you scroll down on settlewithai.com, there's now an AI you can talk to. Ask it anything about how we work, what we deploy, whether your data is safe, what the first month looks like. It answers in real time, with actual knowledge about our business.

Why this works better than static content

A FAQ page is a guess. You write down the questions you think people will ask, and hope the phrasing matches what they actually want to know. If someone asks “do I need a technical team?” and your FAQ says “do employees need AI skills?” — they might not make the connection.

An AI trained on your business doesn't have that problem. It understands the question regardless of how it's phrased, pulls the relevant context, and gives a clear answer. No scanning, no ctrl+F, no hoping the exact phrase is on the page.

The other advantage: it handles follow-ups. A FAQ is one-directional. A conversation builds on itself. Someone asks about your process, then asks how it works for their specific industry, then asks about data security. The AI handles the thread naturally because it holds the full context of the conversation.

What's behind it

The AI on our site runs on Claude, the same model family we deploy for every client engagement. The site uses a lighter variant for speed — our clients get the most capable models tuned to their specific business.

The knowledge base is baked directly into the system. Everything the AI knows about Settle — our services, our four-phase process, our deployment tiers, security practices, the Orient case study — lives in a structured prompt. No vector database, no retrieval pipeline, no external search. Just well-organized information that the model can reference when answering.

It streams responses in real time so you see the answer forming as it's generated. It refuses to discuss pricing (that's a conversation for a real call). It stays on topic. And it redirects off-topic questions back to what it actually knows.

We do this for every client

The version on our site is a demonstration, but the pattern is identical to what we deploy for businesses. The only differences are scale and depth.

For a client, the knowledge base contains their entire product catalog, pricing logic, brand guidelines, technical specifications, service procedures, and internal policies. The AI doesn't just answer generic questions — it generates sales proposals, drafts vendor communications, troubleshoots technical issues, and handles customer inquiries with their actual data.

One of our clients, a printing machinery manufacturer with installations across 50+ countries, uses this exact architecture for their customer-facing product assistant. A visitor asks about a specific press model, the AI pulls specs, suggests configurations, and explains capabilities — all scoped to that product, all in the company's voice.

The setup is fast. If you have your business information documented — product specs, FAQs, service docs, pricing rules — the core system takes days to build, not months. The depth comes from the knowledge you feed it, not from infrastructure complexity.

What this means for your business

Every company has domain knowledge trapped in documents, wikis, email threads, and the heads of senior employees. An AI chat trained on that knowledge makes it accessible to anyone — customers, new hires, sales teams, support staff — without them needing to know where to look.

The technology is mature enough that this isn't experimental. It's production infrastructure. The question isn't whether it works — it's whether your competitors will deploy it before you do.

If you want to see what this looks like for your business, start a conversation. Or just try the AI on our homepage first. It's right there, ready to answer.