An LLM-backed chatbot handling customer support and order queries across business websites, built for real ByteForce clients.
A conversational AI support system deployed across multiple client websites to automate first-line customer interaction — answering FAQs, checking order status, and escalating complex queries to a human agent instead of leaving visitors waiting on email. Built to plug into each client's existing site and backend without a rebuild.
A webhook-driven pipeline: incoming messages from a website widget or messaging channel hit an n8n workflow, which routes the query to an LLM with business-specific context (product catalog, FAQ data, order lookup), then returns a response through the same channel — with an escalation path back to a human when confidence is low.
Generic LLM responses ignored client-specific policies (returns, shipping, stock), producing answers that sounded right but were wrong.
Grounded every response in retrieved business-specific data before generation, rather than relying on the model's general knowledge.
Knowing when the bot should hand off to a human, instead of confidently guessing, was as important as the answers themselves.
Added explicit confidence and escalation logic so uncertain queries route to a human agent instead of a bad answer.
Deployed across multiple client websites as part of ongoing work at ByteForce IT Solutions, reducing first-response time on common support queries and cutting down repetitive manual replies for client teams.