Demand Hack · AI Customer Agents

The 24/7 Support Deflection Agent: HubSpot AI customer agents that resolve tickets around the clock.

HubSpot’s Breeze Customer Agent resolves support conversations on its own and costs $0.50 only when it actually resolves one. We pair it with custom Claude agents when answers live outside HubSpot, in your ERP, billing, or order systems. Then we wire everything around them: knowledge sources, agent guidelines, escalation routing, and a full-funnel support dashboard, because an agent with no context deflects nothing. Your team keeps the escalation seat; the agents take the repeat questions around the clock. On a HubSpot trial? We build the core agent free while you evaluate.

24/7Support coverage
$0.50Per resolved conversation
6Steps from kickoff to live

Which starting point fits your support stack?_

Four quick answers. We match you to the free trial build or the full agent, with timelines, instantly.

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Two ways to start_

Both end in the same place: an agent resolving tickets around the clock. The difference is where you are today.

Free · During your HubSpot trial

Free build during your HubSpot trial

On a trial, or considering HubSpot? We build the Breeze Customer Agent core during your trial: knowledge sources, agent guidelines, one escalation workflow, and a credit budget, completely free. If HubSpot works for you and you continue, HubSpot pays us as a partner. You never pay for the trial build.

Start my trial build →
Paid · Done for you

The full Support Deflection Agent

Already on HubSpot, or need answers from systems outside it? We pair the Breeze Customer Agent with custom Claude agents, wire Actions integrations into orders and billing, build the escalation routing, and launch with a full-funnel support dashboard. Fixed scope, from $6,500.

See pricing →

HubSpot Breeze vs. custom Claude agent: which should you build?_

The two routes to a customer agent, side by side. We build both, so this is the comparison we actually use on scoping calls.

DimensionHubSpot Breeze Customer AgentCustom Claude agent
What it isNative HubSpot AI agent, found under Service > Customer Agent regardless of which Hub’s Pro or Enterprise license unlocked itBespoke agent built on the Claude Agent SDK or API, wired into HubSpot via MCP or custom integrations
Subscription requiredProfessional or Enterprise on any one Hub (Marketing, Sales, Service, Data, Content, Smart CRM, or Commerce), plus HubSpot Credits for usageNo HubSpot tier requirement; cost is Claude API usage plus engineering to build the HubSpot connection
Setup effortNo-code, live in about 15 minutes; real value depends on knowledge sources and escalation configEngineering build; benchmark is 2 to 3 weeks minimum
Channels9+ native: web chat, email, WhatsApp, SMS, Instagram, Telegram, LINE, Slack, Facebook Messenger, voice (beta)Whatever you build connectors for; no pre-built marketplace
Knowledge groundingKnowledge base articles, website and landing pages, blogs, uploaded files, public URLsAnything you connect: HubSpot, data warehouse, billing, internal APIs, docs
GovernanceSeat- and permission-gated; CRM read/write toggled per agent, with approval gates on write actionsYou grant tool access explicitly in code: more granular, more DIY
Pricing modelOutcome-based since April 14, 2026: $0.50 per resolved conversation, credits consumed only on resolution, free 28-day trialToken-based usage, cost tied to consumption not outcomes
Model controlAbstracted away, no visibility or choiceYou pick and route models per task; routing can cut cost 40 to 70%
Cross-system reachHubSpot plus the public web, and Actions lets Breeze make live scoped API calls to outside systems (order status, pricing, inventory) with no codeCore strength: reasons across CRM, finance, product DB, and anything else in one agent, multi-step
MaintenanceHubSpot-managed, updates automaticallyOwned by you or a partner, ongoing engineering required
Track record8,000+ activated customers, 65% average resolution, 90%+ for top performersNo standardized benchmark; performance is entirely build-quality dependent
Best fitSupport resolution grounded in CRM plus knowledge base, fast time to valueWork spanning multiple systems, bespoke multi-step logic, strict compliance or data residency needs
Weak spotActions are scoped, single-endpoint lookups, not full multi-step orchestration across systemsNo marketplace; needs sustained engineering investment, less predictable cost

Hacking Demand builds both, so the recommendation follows your use case, not our preference. And if you are on a HubSpot trial, the Breeze build is free.

Why customer agents fail_

The agent is rarely the weak link. Six failure modes kill these programs, and the first two do most of the killing.

No human escalation pathTHE BIG ONE
About 90 percent of companies will not let an agent close every loop, and they are right. Your team has to own escalations, refunds, and edge cases, and feed the corrections back into the agent. We build and tune the system; your team mans the escalation seat, or trust dies with the first bad answer.
Empty knowledge and contextOUR SPECIALTY
An agent with no knowledge sources, no guidelines, and no AI context deflects nothing and hallucinates the rest. Context engineering is the part we are obsessive about: what the agent knows, how it speaks, and where its authority ends are engineered into every build.
No data access+
If the agent cannot see orders, billing, or account status, every second question becomes “let me transfer you”. Actions integrations to your outside systems are part of the build, not an afterthought.
Wrong channel rollout+
Launching every channel at full coverage on day one is how agents fail in public. We start on one channel at partial coverage, watch resolution quality, then expand channel by channel.
One-agent thinking+
A customer agent, a knowledge base agent, and the workflows around them beat one monolith trying to do everything. Every agent in the build has one job.
No feedback loop+
Unresolved conversations are the training data. Without a weekly review that feeds them back into knowledge sources and guidelines, the agent never improves past launch quality.

Our approach_

01

Build the AI context and knowledge sources_

We deploy Claude to write your HubSpot AI context and structure your knowledge sources: product docs, policies, tone, and where the agent’s authority ends. This is the layer every answer draws from, and it is why our agents do not hallucinate their way out of a hard question.

02

Configure the agents_

The Breeze Customer Agent with guidelines tuned to your brand and policies, Actions wired to outside systems where the answers live, and custom Claude agents where they earn it.

03

Test on real tickets_

We replay real conversations from your queue against the agent before a customer ever sees it, tighten the guidelines, and set escalation rules for everything it should not touch.

04

Escalation routing and workflows_

Handoff rules, ticket routing, and the workflows that put a human in the loop with full context the moment the agent reaches the edge of its authority.

05

Launch across channels_

Chat first at partial coverage, then email, help center, and the rest, expanding coverage channel by channel as resolution quality proves out.

06

Report and improve_

HubSpot’s native customer agent reporting is still minimal. We link agent data into one full-funnel dashboard, deflection rate, cost per resolution, CSAT, and credit burn in a single view, the way we built it for SafetyWing, with a weekly review loop that feeds unresolved conversations back into the agent.

Charles Summers
Built by someone who ran the human version
Charles Summers · Founder, Hacking Demand
12+ years running demand gen and large BDR orgs where support-adjacent teams lived and died by response quality. Built the full-funnel dashboard SafetyWing runs on today, agent data to pipeline to revenue in one view. HubSpot routes agent implementation work to Hacking Demand as a partner, and that same system goes into every build.

The fuel: credits and cost_

HubSpot’s Breeze Customer Agent is outcome-based: since April 14, 2026 it costs $0.50 per resolved conversation, consumed as HubSpot Credits only when a conversation actually resolves. There is a free 28-day trial, every plan includes a starting credit allowance, and we set a credit budget on every build so spend never surprises you.

$500Agent cost / mo at $0.50
$350–$400With avg. Hacking Demand negotiated discount (20–30%)

Illustrative only: $0.50 per resolved conversation at list price. The discounted range shows a 20 to 30% theoretical average based on deals we have previously negotiated for clients. It is never a guarantee: final pricing is entirely HubSpot’s call and varies deal by deal.

Pricing_

Fixed scope. Free during a HubSpot trial, because HubSpot pays us as a partner when you continue, not you.

Trial build_

$0free during your HubSpot trial

For teams on a HubSpot trial, or just starting. Typically live in days.

  • Breeze Customer Agent core: knowledge sources and agent guidelines, live in your trial portal
  • One escalation workflow and a credit budget included
  • Scope-capped to the Breeze core, which is what keeps it free
  • If you continue after the trial, HubSpot pays us, not you
Start my trial build →
Done for you

Support Deflection Agent_

From $6,500one-time, scoped to your stack

The full build: knowledge, agents, integrations, escalation, dashboard. Two to four weeks to live.

  • Breeze Customer Agent tuned, plus custom Claude agents where they earn it
  • Actions integrations into orders, billing, ERP, and other outside systems
  • Escalation routing and the workflows that keep a human in the loop
  • Tested on real tickets before coverage expands
  • Full-funnel support dashboard: deflection rate, cost per resolution, CSAT, credit burn
Book a scoping call →

Keep it tuned_

Custommonthly retainer

Managed agent ops after launch, for teams that want it tuned for them.

  • Weekly review of unresolved conversations
  • Knowledge source and guideline tuning
  • Channel and coverage expansion
  • Monthly performance report
Talk through ops →

The 24/7 Support Deflection Agent, answered_

What is an AI customer agent?

An AI customer agent is software that resolves support conversations on its own: it reads the question, pulls the answer from your knowledge sources and live systems, replies in your brand voice, and escalates to a human when it should. On HubSpot, the core is the Breeze Customer Agent, extended with custom Claude agents when answers live outside HubSpot. Your team keeps the escalation seat; the agent handles the repeat questions before them, around the clock.

Does the HubSpot Breeze Customer Agent require Service Hub specifically?

No. It requires a Professional or Enterprise subscription on any one of Marketing Hub, Sales Hub, Service Hub, Data Hub, Content Hub, Smart CRM, or Commerce Hub, plus HubSpot Credits for usage. Service Hub is simply where the Knowledge Base and Help Desk content sources typically live.

What does the Breeze Customer Agent actually cost?

Since April 14, 2026 it runs on outcome-based pricing: $0.50 per resolved conversation, with a free 28-day trial. You only pay when it resolves something, and we negotiate credit packages with HubSpot as part of every build.

How much does it cost to build?

Free during a HubSpot trial: we build the Breeze Customer Agent core (knowledge sources, agent guidelines, one escalation workflow, and a credit budget) at no charge while you evaluate HubSpot, because HubSpot pays us as a partner if you continue. The full done-for-you Support Deflection Agent build, custom Claude agents plus Breeze with Actions integrations, escalation routing, and a full-funnel support dashboard, is fixed scope from $6,500. Ongoing tuning is a monthly retainer.

How long until it is live?

The trial build typically goes live in days: knowledge sources, guidelines, and one escalation workflow on the Breeze Customer Agent. The full Support Deflection Agent build runs two to four weeks from kickoff to live, depending on how many outside systems the agent needs and the state of your knowledge base.

When does a custom Claude agent make more sense than Breeze?

When the work reaches outside HubSpot: other systems, bespoke multi-step logic, per-task model routing, or strict data residency and compliance controls Breeze does not offer.

Can Breeze pull data from an outside system like an ERP?

Yes, via Actions: a no-code feature where you set a trigger phrase, define required inputs, and point the agent at a live API endpoint. HubSpot's own example is a customer asking where their order is, with the agent pulling the live answer from an outside system. It is built for scoped lookups like order status, inventory, or pricing, not full multi-step orchestration across many systems.

Can I run HubSpot Breeze and a custom Claude agent together?

Yes. Breeze handles native, in-HubSpot support resolution while a custom Claude agent orchestrates work that spans your wider stack. The two are not mutually exclusive, and most of our full builds use both.

Do I need an engineering team for a custom Claude agent?

To build and maintain one yourself, yes: the Claude Agent SDK, connections to your systems, permissions, and monitoring, with no marketplace to install from the way there is with Breeze. That engineering is exactly what the full Support Deflection Agent build takes on for you.

How do I know which option is right for my use case?

It comes down to scope. If support answers live in HubSpot and a knowledge base, Breeze gets you there fastest. If the agent needs several outside systems or bespoke multi-step logic, custom Claude agents earn their keep. Hacking Demand is a HubSpot partner and also builds custom Claude-based agents, and we are not paid more for recommending either path, so the free scoping call exists to match you with the right one. HubSpot pricing and Breeze feature scope move fast; this page reflects HubSpot's published documentation as of July 2026.

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Pairs well with_

Deals and hacks that come up in almost every agent build.

Support that answers at 3am, on a CRM you already have.

Free scoping call: bring your ticket volume and your stack, leave knowing your starting point and what the agent would look like on your portal.

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