Features/Business Brain

The memory layer that doesn't forget you the moment the chat ends.

Most AI tools have the institutional memory of a goldfish. Business Brain is a three-layer store of documents, facts, and preferences — built so every agent knows your business the way a long-tenured employee would.

LAYER 01

Documents

Your wiki, brand guide, SOPs, contracts, product specs, and the long-tail of PDFs in shared drives. Vector-indexed, retrieved on demand.


✓ Drive · Notion · Confluence · Box
✓ Auto-chunked, semantically searched
✓ Source-cited in every answer
LAYER 02

Timeline of facts

What changed, when, and why. Suppliers swapped, prices revised, policies updated. Agents query by time, not just keyword.


✓ Versioned, time-aware
✓ "What was true last quarter?"
✓ Diff-aware reasoning
LAYER 03

Per-person preferences

How each customer likes to be talked to. Which supplier always wants the PO first. The way your CFO wants reports laid out.


✓ Per-contact memory
✓ Learned from outcomes
✓ Explainable + editable
A typical query

Three layers, queried in one breath.

An agent doesn't bolt on memory as an afterthought. Every prompt that leaves the runtime is hydrated with the docs, the timeline, and the preferences relevant to the work. The model never sees a stale fact when a current one exists.

brain · query
// Drafting a follow-up to Acme Co
brain.resolve("Acme Co follow-up")

→ docs Q4 contract draft · brand voice · cold-email playbook
→ timeline price revised 2026-03-12 · CSM swapped 2026-04-01
→ prefs J. Rivera — brief, no bullets, sign off "best"

✓ context hydrated · 3 layers · 7 sources cited
Why it matters

A team that remembers is worth ten that don't.

No re-explaining.

Every agent inherits the institutional memory. You don't onboard a new "chat" every Monday morning.

Time-aware reasoning.

"Use the price from last quarter for the renewal quote." The agent knows what last quarter\'s price was.

Per-customer voice.

Some customers want bullets. Others want one sentence. The brain remembers per-contact.

Editable + auditable.

Wrong memory? Open it, fix it, re-anchor. Every change logged. Memory is a database, not a black box.

Never trains a model.

Your data hydrates the prompt. It doesn\'t end up in the next model release.

Per-client isolation.

Agency teams: every client gets a walled-off brain. Acme\'s tone never leaks into Beacon\'s drafts.

Next

Memory is one pillar. There are three more.

Pillar 02

AI Workforce →

A team, not a chatbot. The hierarchy that turns memory into action.

Pillar 03

Integrations →

400+ connectors via MCP — on the roadmap — and a browser agent. The hands the brain controls.

Pillar 04

Security →

Audit, governance, HITL. The guardrails that let you actually deploy.

Ready to give your AI a memory?

Set up your Business Brain in the first onboarding call. Bring a folder of docs — leave with an agent that knows your business.