Agent Hub agents
HubSpot agents for prospecting, customer support, and data work, each with a clear scope and guardrails. The portal build underneath lives in HubSpot Architecture.
Every agent inherits its CRM.
AI readiness is the data and process work a business needs before AI can run inside it: clean records, defined lifecycle stages, documented automation, and a clear boundary for every agent.
We get HubSpot and your connected systems ready for AI: data cleaned and structured, processes defined, and every agent given the context and boundaries it needs to do useful work.
Deduplicate records, fix data quality issues, and document your operating model.
Define what each agent can access, what it can do, and when it hands off to a person.
Configure and deploy agents and workflows inside HubSpot and connected tools, with guardrails and measurement.
HubSpot agents for prospecting, customer support, and data work, each with a clear scope and guardrails. The portal build underneath lives in HubSpot Architecture.
Agents that draft and maintain on-brand content, with the right sources, a review process, and guardrails.
Breeze Assistant set up around your data, your processes, and the way your team works.
How your team uses Claude, ChatGPT, Gemini, Perplexity, and others, documented and connected to your data safely.
Chat, voice, and meeting agents designed and integrated where they create real value.
Applied AI across research, reporting, analysis, and strategy, always tied back to your CRM and data.
The same agent, switched on in two different portals. Five places the difference shows up.
| AI on a messy CRM | AI on a ready CRM | |
|---|---|---|
| What the agent reads | Duplicates, stale records, and fields nobody trusts | One record per contact, with properties that mean one thing |
| Who it reaches | The wrong contact, at the wrong stage | The right contact, because lifecycle stages are defined in writing |
| What it's allowed to do | Whatever the default permissions allow | A written scope, with a named person to hand off to |
| What your team does with the output | Checks every answer, then stops using it | Trusts it enough to act on it |
| What gets measured | Nothing, until something goes wrong | Adoption, time saved, and revenue impact |
Four things are true: one record per contact and company, lifecycle stages defined in writing, workflows documented with a named owner, and a written scope for every agent. Miss one and the agent repeats the gap at volume.
You can turn them on in an afternoon. A prospecting agent will then email duplicates and contacts in the wrong stage, and a customer agent will answer from outdated content. The foundation work is what makes the output usable.
The Agent Hub agents for prospecting, customer support, and data work, plus Content Agent and Breeze Assistant. Each one gets a written scope: what it can read, what it can do, and when it hands off to a person.
We set up HubSpot's AI visibility tracking and brand knowledge, then keep a monthly record of how assistants like ChatGPT, Claude, Gemini, and Perplexity describe you. When an answer is wrong or missing, we fix the content and schema it draws from.
Start with a focused conversation about your current setup, your goals, and where AI can do the most for your team. Not sure the foundation is ready? Take the Growth Gap Report, about 3 minutes.