Support
Support FAQ Agent
A chat agent grounded in your own docs, not generic AI answers.
Who it is for
SaaS teams, coaches with course content, and businesses with a real knowledge base who want customer questions answered instantly and accurately.
What it does
Your help docs, policies, and FAQ content get indexed into a knowledge base. When a customer asks a question, the agent retrieves the relevant passages and answers from them, in your voice, citing what it knows. The agent on this very site runs on the same architecture.
The run
- 1
Receive the question
From web chat or Slack
- 2
Retrieve your content
Finds the relevant passages
- 3
Analyze and answer
Grounded in your docs only
- 4
Respond and log
Every conversation captured
What is Support FAQ Agent?
A support FAQ agent is a chat agent grounded in your own help content, so it answers customer questions from your material instead of guessing. Your help docs, policies, and FAQ content are indexed into a knowledge base, and when a customer asks a question the agent retrieves the relevant passages and answers from them, around the clock, handing off anything it cannot answer. It is built for SaaS teams, coaches with course content, and any business with a real knowledge base that wants routine questions handled without a night shift or a bigger support queue. The difference from a generic chatbot is grounding: because it only answers from your documented content, it does not invent policies or promises. Otomations builds it on the docs you already have, and it improves as your content grows.
The actual build
The production workflow on the n8n canvas. This is the system that gets tuned to your tools and turned on.
Common questions
How is this different from a generic AI chatbot?
It only answers from your own documented content, so it will not invent a policy or a price. If something is not in your docs, it says so and hands the question to a person.
How long does it take to go live?
Most workflows go live in two to four weeks. Simpler ones, like missed-call text-back, can ship in the first week. The exact scope is set after a short AI Readiness Audit.
Browse the rest of the library: the full workflow library
The next hire can wait. The next system cannot.
Twenty minutes, one bottleneck, one workflow scoped. That is the whole first call.