A chatbot that actually knows your product.
Most AI chatbots are chatty and useless. Ours is grounded in your docs, product data, and past conversations — so every answer is specific, cited, and safe to ship in front of customers.
A chatbot is only as good as its worst answer.
- ✕ Bolt on ChatGPT with no context
- ✕ No knowledge base — invents answers
- ✕ Can't book, ticket, or hand off
- ✕ No feedback loop — never improves
- ✕ No guardrails — says anything
- ✓ Grounded in your knowledge base
- ✓ Cites every answer, no invention
- ✓ Takes real actions (book, ticket, refund)
- ✓ Learns from thumbs up/down
- ✓ Escalates to humans gracefully
Chatbots we've shipped for real businesses.
Handles 60% of Tier-1 questions, escalates the rest to humans.
Asks 3 questions, books a meeting with the right rep.
Guides shoppers to the right SKU via natural conversation.
Walks new users through setup, answers questions in-app.
Ops, HR, and IT questions answered from company docs.
Same brain, deployed on voice calls and WhatsApp.
RAG + tools + guardrails.
Vector search over your docs, tickets, and product data. Only relevant chunks reach the LLM.
GPT-4o or Claude weighs the context, chooses a tool, or drafts an answer with citations.
Tools fire: book a meeting, create a ticket, refund an order, hand off to a human.
- ▸OpenAI GPT-4o
- ▸Anthropic Claude 3.5
- ▸Azure OpenAI (compliance)
- ▸Self-hosted (Llama, Mistral)
- ▸Pinecone / Weaviate / pgvector
- ▸OpenAI embeddings
- ▸Semantic chunking
- ▸Query re-writing
- ▸Function-calling
- ▸Refusals + escalations
- ▸Prompt injection defense
- ▸Feedback loops
How to know your bot isn't making things up.
Retrieval-Augmented Generation (RAG) quality is measured, not assumed. Run these checks before launch and monthly after.
Did retrieval fetch the chunk that answers the question?
Does the response address what was asked, not something adjacent?
Can every factual claim be traced to a source chunk?
How often does the model invent policies or numbers?
Does it hand off when it should, not when it's lazy?
Is the answer fast enough to feel conversational?
Scripts that feel like help, not interrogation.
A good assistant guides, clarifies, and escalates. A bad one asks endless questions and still fails. These patterns keep the dialogue useful.
When intent is ambiguous, offer 2–3 options instead of guessing. 'Are you asking about pricing, setup, or refunds?'
Start with the simplest answer. Offer detail only when the user asks for it. Don't dump the manual.
Before booking, refunding, or updating data, summarize the action and ask for a yes.
When confidence is low, say 'I don't have that on file' and offer a human handoff — never invent.
Remember what the user said three messages ago so they don't repeat themselves.
Mirror the user's formality. A frantic complaint gets empathy, not a cheerful FAQ.
Chatbot questions we hear.
Does the chatbot actually understand our business?
Yes — we ground it in your knowledge base (docs, product data, past tickets) using RAG, so it answers with your specifics, not generic web knowledge.
Which model does it use?
Usually OpenAI GPT-4o or Anthropic Claude, chosen for the use case. Sensitive workloads can run on Azure OpenAI or a self-hosted model.
Can it do more than chat?
Yes — it can book meetings, create support tickets, hand off to a human, look up orders, and trigger workflows.
What about hallucinations?
Every answer is grounded in your knowledge base with citations. Out-of-scope questions trigger a graceful escalation, not a made-up answer.
How is data privacy handled?
No customer data is used for model training. On regulated stacks, we run on Azure OpenAI or self-host.
Ship an assistant you'd stake your brand on.
Book a call. We'll audit your knowledge base, scope a pilot, and ship the first version in 3 weeks.
Book chatbot callLet's solve this for your business
Share a bit about your situation — we'll reply with a clear plan within 24 hours.
- Personal reply from Siddiq within 24 hours
- Honest advice — no pushy sales, no fake urgency
- Clear next steps, timeline, and estimate