AI Integrations
Custom AI built into your product, site, and support. Not bolted on.
Put AI where it helps. We design and build custom AI integrations (assistants, copilots, and AI-powered search) directly into your website, product, and internal tools. Not a generic chatbot widget — systems grounded in your content, data, and brand voice.
What you get: AI assistants and support agents that answer from your real knowledge base (RAG), LLM features embedded in your product, and AI search that helps visitors find answers instantly. Built on current models like Claude and GPT, with guardrails, evaluation, and a clean handoff so the system stays accurate as you grow.
Who it's for
Growing organizations with real knowledge to organize — docs, policies, product info, support history — and no appetite for a generic chatbot.
What it solves
Off-the-shelf chat widgets answer from the open internet and make things up. Visitors and staff waste time hunting for answers that already live in your docs, site, and support history.
Where it applies
What we build most often
AI knowledge assistants (RAG)
When the answer already exists in your documentation, policies, spec sheets, or support history, the problem is retrieval, not intelligence. We build retrieval-augmented assistants that answer from your own content with citations back to the source, so staff and customers stop digging through folders — and the assistant says it does not know instead of inventing an answer.
AI site search
Keyword search fails the moment someone phrases a question differently than your page titles. We replace it with semantic search that understands intent, works across your real catalogue or knowledge base, and surfaces the specific page or product rather than a list of near-misses.
Internal copilots for technical teams
For distributors and technical-service teams, a lot of expertise sits with whoever has been there longest. We build internal copilots grounded in your part data, manuals, and past quotes so the rest of the team can answer accurately — with guardrails and evaluation so accuracy holds as the content grows.
FAQ
AI Integrations, answered
- How is this different from a generic chatbot widget?
- A generic widget answers from the public internet. We build RAG systems grounded in your real content — docs, policies, product data — so answers stay accurate to your business, with guardrails and evaluation.
- Which AI models do you build on?
- Current models like Claude and GPT, chosen per use case, with retrieval (RAG), guardrails, and evaluation so the system stays accurate as your content grows.
- Where does the AI actually live?
- Wherever it helps — embedded in your website, product, or internal tools — not just a floating chat bubble in the corner.
- How do we start?
- Send a short project brief or run the free website health check. We reply within one business day, and if there's a fit we scope the smallest useful first build — not a retainer.