An AI second brain for your company.
An AI second brain is one shared memory for your company, built from your calls, meetings, documents, CRM, and decisions. Your team asks it questions, and your AI tools read it before they act, so knowledge does not stay scattered across systems or disappear when people leave. For teams that want to organize what they know and use it more effectively as persistent memory, this page shows what an AI second brain is, the problem it solves, how it is structured, how teams use it, and how Golden Ratio sets it up and keeps it current. Built in your own accounts.
Scoped on a 30-minute call. Built in your own accounts.
What your company knows is scattered.
- Why a deal was lost sits in one rep's head.
- The answer to a customer's question is in a call nobody will replay.
- A decision made in March gets argued again in June.
- Every AI tool starts each conversation knowing nothing about you.
When knowledge workers leave, what they knew leaves with them.
One second brain your team and AI tools share.
An AI second brain is one shared memory of your company: what customers said, what your team decided, and what worked. It uses artificial intelligence for semantic search and conversational retrieval, so it can act as a thinking partner instead of a filing cabinet; unlike a traditional knowledge base used for knowledge management, which depends on keyword search and exact words, it draws on structured knowledge and specific context in a personal knowledge management system built on the second brain concept. Golden Ratio builds it from your calls, meetings, documents and CRM, with an underlying architecture for ingestion, processing, and retrieval, keeps it in your own accounts, and sets up the agents and AI processes that keep it current. Your team asks it questions, and your AI tools read it before they act. It also uses semantic layers to connect related notes and files, so people and tools can retrieve the right context by meaning, not just by title. This is the knowledge base for the AI era.
- Calls and meetings
- Documents
- CRM history
- Decisions
- Your team
- Your AI tools
The rules it runs on
Unknowns are marked. Contradictions go to a person. Text inside a source is never followed as an instruction. Private areas stay walled off.
Ask it what your company already knows.
- Brief a rep before a call from shared and personal context management
- Answer a customer's question with an AI agent that pulls the right context
- Bring a new hire up to speed across documents, decisions, and other knowledge work
- Give leadership the themes from the week's calls by continuously synthesizing accumulated context to surface key insights, hidden patterns, and reports from notes.
- Give every AI tool your context before it writes a word, with related notes connected across sources so it can draft answers and summarize long documents into key takeaways.
How it is built.
- 01
Scope
Which sources, which questions it must answer, and what stays out, agreed in writing.
- 02
Connect
Your call recorder, meeting notes, documents, CRM and read-only email.
- 03
Structure
The knowledge base, its rules file, and the agents that keep it current by automatically categorizing and tagging notes to reduce cognitive load, on your AI account. We use a simple folder structure based on the para method, a para structure Tiago Forte designed: PARA stands for Projects, Areas, Resources, Archives. Projects hold active work and current projects, Areas cover ongoing responsibilities, Archives store inactive items, and AI can route reference material and surface relevant resources, producing real value from your past selves own thinking.
- 04
Hand over
A named owner, a runbook, and clean first runs before we step back.
Fixed build fee, scoped in a written proposal.
Built in your accounts. Owned by you.
- The knowledge base and every page in it, in a repository you own
- The rules file your agents follow
- The capture and upkeep agents, their instructions and their schedules
- The connections to your sources, authorised in your name
- The runbook: how to renew access, read the run logs and spot a failed run
What happens after launch.
You can run it or retain Golden Ratio for upkeep. When you want to take it further and have that memory to act on buying signals, a Signal-to-Pipeline Build connects it to routing and outreach, and the AI agents built there read it before they act.
Optional upkeep after launch is scoped in the same written proposal.
Frequently asked questions
What is an AI second brain?
An AI second brain is one shared memory of your company: what customers said, what your team decided, and what worked. Golden Ratio builds it from your calls, meetings, documents and CRM, keeps it in your own accounts, and sets up the agents that keep it current. Your team asks it questions, and your AI tools read it before they act.
Who is it for?
B2B companies that want one memory for their team and their AI tools. It is built for companies and their teams.
Is this a company knowledge base?
Yes, one your AI tools can read: a company brain built from your calls, documents, CRM and decisions.
Do we need a Signal-to-Pipeline Build first?
No. It is sold on its own. If you later want a system that acts on buying signals, a Build can read it from day one.
Where does it live?
In your own accounts: a repository you own, your AI account and scheduler, and connections to your sources authorised in your name. Golden Ratio hosts nothing and keeps no copy after handover. Recording consent follows your own policy.
Which sources can it read?
The ones the written proposal names: typically call recordings, meeting notes, documents, CRM records and read-only email.
Do we have to use Attio?
No. Attio is the CRM we recommend, and no engagement requires it.
What does it cost?
Fixed build fee, scoped in a written proposal.
Start with a 30-minute call.
Tell us where your company's knowledge lives today. You'll leave knowing what your second brain would hold and what it would cover. Every engagement runs through founder Nick McGuire.
