Click through how the HubSpot Customer Agent takes repeat support questions off your team: knowledge audit, handoff rules, review mode, go-live by category and the 30-day scorecard.
Click the numbered orange boxes in the guide to jump to each part of the screen. Illustrative mockup with fictional data.
Tier-1 Autopilot uses the HubSpot Customer Agent to resolve routine support questions across chat and email, around the clock, while anything sensitive goes to a person with full context.
Support teams spend most of their day on the same handful of questions: logins, billing, setup and integrations. Complex customers wait behind password resets, response times slip, and the only lever left is hiring more reps.
Knowledge base rebuild, handoff and routing rules, a test set of real questions, help desk integration, credit caps and alerts, and a performance dashboard comparing the agent to your human baseline.
It's HubSpot's AI agent for support conversations. It answers customers on chat, email and other channels using your knowledge base and other content sources, and hands off to your team based on rules you set.
It depends on your question mix and the quality of your knowledge base. HubSpot reports strong averages across customers, but we measure yours during two weeks of review mode before committing to a number.
Yes. We configure the agent to identify itself, and customers can ask for a person at any time. That request is one of the default handoff rules.
The Customer Agent uses HubSpot Credits, roughly 50 credits per resolved conversation at October 2026 rates. We set a monthly credit cap and alerts during setup so cost can't run away.
We audit your knowledge, set the handoff rules, run review mode for two weeks and show you the resolution rate before anything goes live.
We engineer growth systems. JayOh builds the RevOps architecture, GTM execution and data infrastructure that turn messy revenue operations into predictable pipeline for B2B SaaS and PE-backed teams.
