AI chatbot development.
GenAI chatbots that answer from your knowledge, not from the internet’s imagination. We build RAG-powered assistants trained on your documents, products and policies — integrated with your store, helpdesk or ERP, and hosted where your compliance team can say yes.
Coming as a store add-on
We are productising our RAG chatbot engine as a native CS-Cart and Magento add-on — install it, index your catalog and policies, go live. Get early access, or have it custom-deployed today.
Chatbots that know your business.
Customer support chatbots
Deflect the repetitive 70% of tickets with grounded answers from your docs and policies — and hand off cleanly to humans with full context.
E-commerce shopping assistants
Product Q&A, guided selling, order status and returns — connected to your CS-Cart, Magento or Shopify catalog and order data. Soon installable as our native CS-Cart & Magento add-on.
Internal knowledge assistants
HR policies, SOPs, product wikis — one assistant your team actually asks instead of pinging the one person who knows.
WhatsApp & multichannel bots
The same brain on your website, WhatsApp Business and in-app chat — one knowledge base, every channel your customers use.
Helpdesk & CRM integration
Ticket creation, order lookups, account actions — chatbots that do things through your systems, with audit trails.
Multilingual support
Serve customers in their language with AI translation in the loop — powered by the same self-hosted translation engine we run at Trooply.
The difference between a GenAI chatbot and a liability.
A raw LLM chatbot improvises — and an improvising bot quoting refund policies you do not have is a support disaster, not a support tool. Retrieval-augmented generation (RAG) fixes this: every answer is grounded in your indexed documents, with retrieval first and generation second, so the bot answers from your actual policies, catalog and knowledge — and says “I don’t know, let me connect you” when it should.
We add the operational layer most chatbot projects skip: prompt-injection defenses, PII filtering, human handoff rules, conversation analytics and an evaluation harness that measures answer quality release over release. Built on our LLM development stack, self-hosted when compliance requires it.
AI chatbot questions.
How much does AI chatbot development cost?
A grounded chatbot on your documents typically runs $3,000–$10,000 to launch; store- and helpdesk-integrated assistants with actions run $10,000–$30,000. Self-hosted deployments avoid per-conversation fees entirely.
Can the chatbot use our real product and order data?
Yes — that is the point. We connect it to your catalog, orders, tickets and policies via APIs, with permissions and audit trails, so it answers accurately and can act (order status, ticket creation) where you allow it.
Will it hallucinate wrong answers to customers?
RAG grounding, confidence thresholds and scoped knowledge dramatically reduce hallucination — and where confidence is low the bot hands off to a human instead of guessing. We measure answer accuracy with an evaluation suite before and after every change.
How long does it take to launch?
A working bot on your knowledge base in 2–4 weeks; integrated, multichannel deployments in 6–10 weeks.
Is there a ready-made AI chatbot add-on for CS-Cart or Magento?
Yes — we are launching our RAG chatbot engine as a native add-on for CS-Cart and Magento: install it in your store, let it index your catalog, policies and pages, and go live without a custom project. Contact us for early access and launch pricing; custom deployments are available today for other platforms and advanced workflows.
Want a chatbot that actually knows your business?
Send us your docs and a use-case — see it answering real questions within weeks.