Agents spend time finding the same policy links.
Octobot turns this recurring friction into a guided support conversation with clear limits and follow-up.
AI support agent
AI Support Agent That Answers Customers From Your Knowledge Base
An AI support agent should behave like a careful teammate, not a guessing machine.
Grounded answersEscalation controlsSupport analytics
Who it is for
Built for support managers who want ai answers grounded in company-approved material..
Customers need answers outside business hours.
Octobot turns this recurring friction into a guided support conversation with clear limits and follow-up.
Leadership wants automation without losing control over quality.
Octobot turns this recurring friction into a guided support conversation with clear limits and follow-up.
Use cases
What the page should help a US prospect understand.
Search intent: Transactional. The content focuses on the buying question behind this keyword, not a translated French page.
Respond with answers backed by help center content.
This is positioned as a real workflow, with measurable value and a human fallback when needed.
Summarize the conversation before handoff.
This is positioned as a real workflow, with measurable value and a human fallback when needed.
Flag missing or outdated knowledge articles.
This is positioned as a real workflow, with measurable value and a human fallback when needed.
Implementation
How this workflow becomes useful instead of generic AI copy.
1
Separate answerable from risky
Decide which questions the AI can answer directly and which ones require human review.
2
Train from reviewed content
Use approved documents and product pages before adding broader internal sources.
3
Review difficult conversations
Use failed or escalated chats to improve the knowledge base and support rules.
Measurement
What a buyer should expect to improve.
More consistent support answers.
This outcome can be reviewed through conversations, handoff reasons, topic trends, and customer feedback.
Less internal searching.
This outcome can be reviewed through conversations, handoff reasons, topic trends, and customer feedback.
Better coaching data for human agents.
This outcome can be reviewed through conversations, handoff reasons, topic trends, and customer feedback.
Test Octobot with your real customer questions.
Start with your current support content, review the first answers, and keep human handoff for important conversations.