Run a stronger AI Agent alongside Service Hub, or replace Breeze entirely. No CRM migration required.
$1.00
Resolution rate
64%
$0.50
50% lowerResolution rate
74%
+10 pp higherTrusted by teams shipping AI Agents in production
Trusted by teams shipping AI Agents in productionHubSpot Breeze customer agent (AI customer agent)
HubSpot Breeze customer agent is HubSpot's AI customer agent for Service Hub. It runs in HubSpot's support stack including Help Desk Workspace and omnichannel customer service channels, with usage billed via HubSpot Credits.
Quickchat AI is a purpose-built alternative or add-on for teams using Service Hub that want broader channel coverage, deeper customization, and transparent outcome-based pricing.
Quickchat AI vs HubSpot Breeze customer agent
| Feature | | HubSpot Breeze |
|---|---|---|
| Resolution rate | 74%
+10 pp higher +10 pp on the same data | 64%
Solid baseline, less control |
| Pricing | $0.50 per resolution Outcome-based, no Service Hub fees | $1.00 per conversation 100 HubSpot Credits per text conversation |
| Customization | Custom prompts, actions, guardrails | Defaults, limited granular control |
| Channels | Website WhatsApp Slack Zendesk Intercom Telegram Discord API Channel-agnostic deployment | HubSpot Service Hub Email Live Chat WhatsApp Tied to HubSpot Service Hub channels |
| Observability | Why AI Said That Per-answer trace + source attribution | Core reporting No per-answer trace |
| Enterprise fit | Custom prompts, governance, flexible deployment | Tied to HubSpot stack choices |
No Migration Required
Quickchat AI integrates with Service Hub workflows and inbox operations, so you can keep your CRM and support setup while improving your AI customer agent performance.
Continue using Service Hub data, pipelines, Help Desk Workspace, and Customer Success Workspace processes.
Run Quickchat AI in parallel and route specific topics away from Breeze customer agent while you measure.
Move to Quickchat's widget, inbox, and workflow tooling when you want a complete AI support stack.
Evaluating Intercom too? Compare Quickchat AI to Intercom Fin AI .
Quality & Resolution
Quickchat AI uses proprietary Retrieval-Augmented Generation and reranking to keep answers grounded in your approved sources. Our systems use advanced data modeling to ensure your AI stays grounded in your knowledge base. AI responses are directly connected to your approved knowledge sources (documents, help centers, internal wikis, databases).
In internal migrations, teams see an over 10 percentage point lift in resolution rate compared to HubSpot Breeze customer agent on the same Knowledge Base.
Grounded answers: Responses are sourced from your help center, docs, or internal knowledge base.
Source-constrained responses: If no verified answer exists, the AI can ask a clarifying question or escalate to a human.
Pricing
HubSpot Breeze customer agent in Service Hub Professional and Enterprise uses 100 HubSpot Credits per conversation on text channels. Additional HubSpot Credits start at $10 per 1,000 credits, which equals about $1.00 per conversation. Quickchat AI starts at $0.50 per resolved conversation.
Lower effective cost per resolved conversation: At $1.00 per Breeze conversation, effective cost is about $1.54-$2.00 per resolved conversation at 65%-50% resolution. Quickchat starts at $0.50 per resolved conversation, typically 68-75% lower.
Clear cost model: Breeze customer agent is priced per conversation for text channels (not per message). For a typical 3-5 message conversation, this implies roughly $0.20-$0.33 per message at current HubSpot Credits rates.
Customization & Control
Quickchat AI lets you define assistant tone, policies, workflows, and decision rules in detail, so the assistant behaves like your team expects.
Set role-specific instructions for support, sales, and onboarding scenarios.
Control escalation logic, guardrails, and fallback behavior.
Configure business workflows and API actions without heavy engineering overhead.
Adjust your AI continuously with feedback loops from real conversations.
Observability
Quickchat AI includes transparent traces so teams can inspect response quality, source usage, and automation outcomes in one place.
Message Sources show where each answer came from.
Analytics dashboards track resolution rate, deflection, and conversation quality over time.
Built-in review workflows help teams spot failures and improve quickly.
Channels & Integrations
HubSpot supports omnichannel customer service in Service Hub, while Quickchat AI gives you one AI customer agent across website chat, Service Hub, and additional support platforms.
Channel-agnostic deployment: Use Quickchat AI on website chat, HubSpot inbox flows, Intercom, Zendesk, Slack, Teams, Telegram, WhatsApp, and more.
Enterprise & Security
Quickchat AI is designed for enterprise requirements, including privacy controls, governance, and reliable deployment options.
Flexible implementation: Run Quickchat AI as a HubSpot add-on or as your primary AI support layer across tools.
Security by default: Encryption in transit and at rest, role-based controls, and GDPR/CCPA-focused data practices.
Frequently Asked Questions
See how Quickchat AI can improve support quality, lower automation cost, and give your team full control over AI operations.
Quickchat AI platform
Switching from Breeze customer agent upgrades the AI layer and gives you the rest of the Quickchat AI platform: Knowledge Base, AI Actions, Inbox, and full conversation observability.
Knowledge Base
Feed your AI with your website, docs, FAQs, and PDFs — it answers from your actual content.
Inbox
Manage all AI and human conversations from one centralized inbox.
AI Actions
Trigger workflows, book meetings, look up orders, and more — directly from chat.
Custom AI Personality
Set tone, style, guardrails, and behavior to match your brand perfectly.
quickchat ai
Lead Generation
Automatically collect and qualify leads mid-conversation, synced to your CRM.
Human Handoff
Escalate to a human agent when needed, with full conversation context passed along.
Conversation Insights
See topics, sentiment, trends, and content gaps across all conversations.
Why AI Said That
Full transparency — trace every answer back to its exact source document.