Custom AI chatbot development that actually knows your business
A RAG chatbot trained on your real documents, policies, and product data — not a generic FAQ widget. It answers in your voice, cites its sources, and hands off to a human the moment it should.
Your customers ask the same 40 questions — at 11pm, on weekends, mid-checkout
Most small businesses lose deals in the gap between “I have a question” and “someone got back to me.” A prospect lands on your site late at night, can’t find your return policy or service area, and quietly bounces to a competitor who answered faster. Your team, meanwhile, burns hours every week retyping the same answers about pricing, hours, availability, and “do you do X?”
Off-the-shelf chat widgets don’t fix this — they hallucinate, invent policies you never wrote, or fall back to “a human will reply soon,” which is exactly the delay you were trying to kill. The problem isn’t chat. It’s that the bot has no grounding in your actual business.
A real solution reads your documents, knows what it doesn’t know, and escalates instead of guessing. That’s the difference between a toy and a teammate — and it’s entirely buildable today.
How we build a chatbot grounded in the truth
We don’t drop in a script tag and walk away. We build a retrieval-augmented generation (RAG) system on top of your real knowledge, so every answer is traceable to a source you control.
Ingest your knowledge
We pull in your site, PDFs, help docs, price sheets, and FAQs, chunk and embed them into a vector store, and keep it in sync as your content changes.
Ground every answer
Each question retrieves the most relevant passages first, then the model answers only from that context — with citations — so it can’t invent a refund policy you never had.
Give it real actions
Beyond answering, the agent can book a call, create a ticket, look up an order, or capture a qualified lead straight into your CRM.
Set guardrails + handoff
We tune the tone to your brand, add safe-completion limits, and define exactly when it says “let me get a human” instead of bluffing.
Ship, watch, sharpen
We embed it, monitor real conversations, and refine the retrieval and prompts weekly so it gets sharper the more it’s used.
We run a RAG knowledge engine across 100+ live courses
Sikho.ai — our AI learning platform — generates a full personalized course in about 60 seconds and answers learner questions against a retrieval-augmented knowledge base, with adaptive assessments on top. It runs in production on Cloud Run, serving thousands of learners. The exact retrieval, grounding, and agent patterns we’d build into your chatbot are the ones we already operate at scale every day.
Everything in a ai chatbots & agents build
- A RAG pipeline trained on your docs, site, and FAQs
- A branded chat UI embedded on your site (and optionally SMS / WhatsApp)
- Source citations + honest “I don’t know” instead of hallucination
- Lead-capture, booking, or ticket-creation actions wired to your tools
- Human-handoff rules and dependable after-hours coverage
- A simple dashboard of real questions, with weekly tuning
A focused FAQ + lead-capture bot starts at the Starter ($299) tier; a fully grounded RAG agent with CRM actions and integrations lands around Growth ($799). Ongoing tuning and monitoring fit a Care plan from $49/mo.
AI does ~70% of the build; a US founder ships the rest — and you own the code.
Pairs well with
Questions about ai chatbots & agents
How is this different from a chatbot builder or a raw GPT wrapper?
Builders give you flows you have to script by hand, and raw GPT wrappers hallucinate because they have no grounding. We build a retrieval layer over your real documents, so the bot answers from your actual policies and cites them — and we own the integration into your CRM and tools, not just the chat bubble.
Will it make up answers?
That is exactly what RAG prevents. Every reply is retrieved from your approved content first, and we set explicit guardrails so when the answer isn’t in your knowledge base, it says so and offers a human handoff instead of guessing.
Can it actually do things, or just talk?
It can take actions — book a meeting, create a support ticket, look up an order, or push a qualified lead into your CRM — using the same agent patterns we run in production on our own products.
How long until it’s live?
A grounded FAQ + lead bot is typically live in one to two weeks. More complex agents with multiple tool integrations take three to five weeks, depending on how many systems we wire in.
Ready to build your ai chatbots & agents?
Take the 2-minute AI audit and we’ll come back with a written brief and a fixed quote — no jargon, no pressure. Founder-led from Bremerton, WA; you own everything we ship.