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AI Chatbot

AI Chatbot Automation

An assistant that answers from your own knowledge and acts through your systems.

Zryth Product Team · October 2026 · 5 min read

AI Chatbot Automation: a grounded answer with sources, and the actions the agent can take

Your product knowledge, answered instantly

Every business has the answers somewhere: in product guides, a help centre, pricing sheets, policy documents and years of past tickets. The trouble is that customers, new hires and sales teams can't find them quickly, so the same questions land on the same few people again and again. A generic chatbot doesn't fix that, because it doesn't know your product and will happily guess.

AI Chatbot Automation is an assistant built on your own knowledge. It answers from your documents, shows where each answer came from, and, through agents, goes beyond answering to do the follow-up work.

Retrieval you can trust

The assistant uses retrieval-augmented generation, or RAG: before it writes a word, it searches your knowledge for the passages that matter, and it answers from those. We build this layer the way production systems need it to work.

  • Your content is split by its own structure, such as headings and sections, so a retrieved passage makes sense on its own.
  • Search combines meaning with keywords, then re-ranks the best matches, so exact product names and codes are found as reliably as loosely worded questions.
  • Answers come only from retrieved passages and carry their sources, so anyone can check them.
  • When nothing relevant is found, the assistant says so and hands over to a person, instead of making something up.
  • Access rules carry through, so people only get answers from content they are allowed to see.

Agents that do the work, not only answer

A question is often the start of a task. A customer asks about an order, then wants it changed. A prospect asks about a plan, then wants a call. Agents connect the assistant to your systems so it can handle that next step: look up an order, create a ticket, book a meeting, update the CRM.

Each workflow is designed with you. The agent follows your rules, confirms with the customer before it takes any action, and passes the conversation to your team, with the full context, when a case needs a person.

How the assistant is built: your knowledge, search preparation, retrieval, and the agent
From your documents to a checked answer or an action.

Product knowledge that stays current

Products change, and so do prices and policies. The knowledge base is re-indexed as your documents are updated, so the assistant doesn't keep repeating last quarter's answer. We also review the questions it couldn't answer or wasn't sure about, and use them to fill the gaps in your knowledge and improve its answers.

Where it fits

  • Customer support: answer product and policy questions around the clock, and resolve routine requests end to end.
  • Sales and pre-sales: give prospects accurate answers about plans, features and pricing, and book the next step.
  • Internal helpdesk: let teams ask about processes, policies and tools instead of messaging colleagues.
  • Onboarding: help new customers or new hires find their way through the product.

How we build it

  • Understand: we look at the questions people actually ask and where the answers live today.
  • Connect and test: we bring in your knowledge and test retrieval on your real questions before anything goes live.
  • Design the workflows: we decide which actions the agent can take, what it must confirm, and when it hands over.
  • Launch and improve: we deploy where your customers already are, then review the results and keep improving them.

Read the full case study


Zryth Our Work

How AI Chatbot Automation combines retrieval over your own knowledge with agents that act through your systems, to answer product questions and carry out the follow-up work.

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