Build your Company Brain. Then deploy AI agents that do real work.
We organize your approved company knowledge, then deploy focused AI agents for marketing, sales, support, onboarding, and operations. AI handles the repeatable work. Your team stays in control.
Start with one workflow. Use the tools you already own. Expand only after it works.
AI agents are only as useful as the context they can trust.
Without a Company Brain, every agent is guessing which answer, rule, and example is current.
- ×Answers live across Drive, inboxes, chats, and individual memory.
- ×People repeat the same research before doing the real work.
- ×AI can move fast, but it cannot know which version is approved.
- ×Every new tool inherits the same messy context.
The brain fixes the context. The agent improves the work.
A simple four-step path from scattered knowledge to useful AI agents.
Build only what the first workflow needs. Give the agent a clear job. Keep risky actions with a person. Measure before expanding.
Choose the work
Find one repeated job worth improving.
Build the brain
Approve the facts, rules, examples, and owners it needs.
Deploy the agent
Give one agent a narrow job, tools, and limits.
Run and improve
Review real work, measure the result, and expand carefully.
Build the brain. Deploy one agent. Prove one business result.
In 30 days, turn one repeated marketing, sales, support, onboarding, or operations workflow into a controlled AI-assisted system your team can actually use.
- One useful Company Brain built from approved sources
- One repeated workflow with a clear owner and finish line
- One focused AI agent with a narrow job
- Human approval for sends, pricing, commitments, sensitive decisions, and record changes
- A measured 30-day pilot with a go, improve, or stop decision
Your team can see what the agent knows, does, and escalates.
Each sprint creates a working record your team can review before deciding whether to improve, expand, or stop.
- A starting baseline and named success measure
- An approved-source record and conflict rule
- Normal, missing, conflicting, sensitive, and messy test cases
- A human-approved first real write or client-facing draft
- A documented go / improve / stop review
From a repeated client question to a reviewed answer and clean CRM handoff.
This is an example of the method, not a claimed client result.
- TriggerA client asks a repeated onboarding question.
- Approved contextThe helper retrieves the current procedure and approved example.
- Human approvalAn owner checks the draft before it is sent.
- ProofThe final status is recorded in HubSpot; response time and rework are reviewed weekly.
Work directly with Rudi Ribeiro—not a handoff chain.
Rudi Ribeiro brings more than 10 years in enterprise sales and works with companies that need AI to improve real workflows—not create another tool experiment.
The method is simple: approve the knowledge, choose one repeated job, give one agent a narrow role, keep people in control, and measure the result.
This is an independent practice; HubSpot does not sponsor or endorse it. View Rudi's public professional background.
Ask about one workflowBuilt for firms with repeated work, scattered knowledge, and people who need their time back.
Client onboarding, document requests, repeated questions, and advisory follow-up.
Lead response, qualification, appointment handoff, listing and transaction communication.
Inquiry routing, discovery prep, proposal follow-up, client support, and reporting inputs.
Build the brain before you add another agent.
Use the free starter to choose one workflow, organize the approved knowledge, and decide what the agent may do.