Existing bot is a decision tree that traps users.
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Chatbot Development
Custom chatbots for websites, WhatsApp, Instagram and Messenger — with LLM-backed answers, human-handover and full analytics.
"Bots that solve — not bots that frustrate."
Start a projectThe right chatbot answers 60–80% of routine questions instantly, filters real leads to human agents, and stops your team from burning out on the same 20 questions all day. The wrong chatbot is a decision tree from 2015 that customers immediately try to escape.
PrimeOak builds chatbots on modern LLM foundations (GPT-4, Claude, Gemini) grounded in your actual knowledge base — so answers are correct, current and in your brand voice.
01 — Business Problems We Fix
Where growth actually breaks.
No LLM layer — bot cannot answer real questions.
Handover to human is broken; users churn.
No analytics on where users get stuck.
02 — What You Get
Everything you need, under one roof.
Multi-channel chatbot
LLM-backed answers grounded in your real content.
Knowledge base integration
Seamless handover to humans at the right moment.
Human handover flow
Multi-channel: web, WhatsApp, IG, Messenger.
Analytics + reporting
Analytics that show what to improve weekly.
03 — Our Process
A clear path from brief to growth.
01
Design
Use cases, intents, knowledge base.
02
Build
Conversation flow + LLM integration.
03
Deploy
Multi-channel deployment + handover.
04
Learn
Weekly review; refine flows and content.
Grounded in your knowledge, not the internet
LLM chatbots that hallucinate are worse than useless — they confidently give wrong answers. We ground every response in your actual content (help docs, product pages, policies) using retrieval-augmented generation, and set clear boundaries on what the bot will and won't answer.
When the bot can't answer confidently, it hands off to a human — with full context of the conversation.
Multi-channel deployment
The same bot answers on website chat, WhatsApp, Instagram DM and your app — one knowledge base, consistent answers, one place to update.
Analytics tell you which questions the bot handles well and which need human escalation, so you can improve the underlying knowledge base over time.
04 — FAQ
Questions, answered.
Which LLM do you use?+
GPT / Claude / Gemini — chosen by use case, cost and language mix.
Can it work in Hindi and regional languages?+
Yes — multi-lingual out of the box.
How accurate is it?+
For questions inside its knowledge base: 95%+ accurate. Outside: it hands off. We publish accuracy metrics and improve them monthly.
Which LLM do you use?+
Depends on cost, latency and quality trade-offs — often GPT-4 or Claude for accuracy, sometimes fine-tuned open models for high-volume/low-cost use cases.
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