How it works

We build it for you. You put it to work.

Two things happen in parallel: we learn how your organization actually operates, and we assemble the retrieval, agent and approval architecture that reflects it.

The engagement

We build it for you. You put it to work.

This is a done-for-you implementation. Your teams are involved where their knowledge matters — not in configuring software.

Discover

Understand your business, processes and AI opportunities.

Map

Map knowledge, systems, permissions and workflows.

Design

Design your Workplace Memory architecture and AI workforce.

Build

Build the knowledge layer, agents, integrations and workflows.

Deploy

Launch your dedicated AI environment with your teams.

Manage

Monitor, maintain and continuously improve it.

Grounded answers

It doesn't just generate. It looks things up first.

Workplace Memory searches relevant authorized information before generating an answer. Technical teams call this Retrieval-Augmented Generation, or RAG.

User question

An employee asks in plain language.

Search authorized sources

Only what that person may see is searched.

Retrieve relevant information

The most relevant passages are pulled.

Check permissions

Access is verified again before anything is used.

Send context to AI model

The model receives facts, not guesses.

Generate answer

Written in your company's language.

Show sources

Every claim traces back to a document.

The product

It retrieves. It understands. Then it does the work.

A single interface for the whole organization: ask a question, get a sourced answer, then turn that answer into a finished company document.

northstar-manufacturing · private ai environment

Ask Workplace Memory

What is our approved process for onboarding a new enterprise client?

Workplace MemoryGrounded in company knowledge

Enterprise Client Onboarding SOP

Page 8 · Updated March 2026

Sales Operations Manual

Section 4.2

Now turn that into a one-page onboarding checklist for the sales team.

Workplace Memory

Drafting using your approved company template…

Template: Sales one-pager v4
Source: Onboarding SOP
Brand: Northstar Manufacturing

Northstar ManufacturingDraft · DOCX

Enterprise Client Onboarding Checklist

1. Commercial handover call within 2 business days
2. Legal and security review package sent
3. Account and permissions provisioned
4. Data migration plan confirmed
5. Enablement session scheduled
6. 30-day success review booked

Export DOCXExport PDF

Technical architecture

Under the hood.

Enterprise AI infrastructure, without enterprise complexity for your employees. Expand any layer for a plain-English explanation.

01Company knowledgeDocuments and systems your organization already owns.
02Document processingFiles are read, cleaned and converted into usable text.
03ChunkingLong documents are split into passages that can be cited precisely.
04EmbeddingsEach passage gets a numeric fingerprint representing its meaning.
05Vector storageFingerprints live in PostgreSQL with pgvector alongside metadata.
06Permission filterServer-side rules remove anything the user may not see.
07RAG retrievalThe most relevant authorized passages are assembled as context.
08AI orchestrationThe system decides which agent, tools and model to use.
09GPT / Claude / GeminiFoundation models generate the response from that context.
10AgentA configured specialist responsible for the task at hand.
11ToolAn approved integration the agent may call — email, sheets, CRM.
12ActionThe result: an answer, a document, or an executed step.
13Audit logWho asked, what was retrieved, what was produced, who approved.

In plain language

Instead of asking an AI model to guess what your company knows, the system retrieves relevant authorized information from your knowledge sources and gives the model that context before it writes a single word. The model is powerful; the facts are yours.

No foundation model is trained on your company data. Your information is retrieved at the moment of the request, under your access rules.

Next.js
React
TypeScript
PostgreSQL
pgvector
Docker
Secure API integration
OAuth
Background workers
Object storage

Questions

What executives ask us first.

Your company already holds an extraordinary amount of intelligence. It's time to make it accessible.

Let's turn the knowledge, systems and workflows you already have into a private AI workforce built around the way the business actually runs.

Book a Private AI Assessment See what we can build

No generic chatbot · No one-size-fits-all setup · A private environment for one company

We build it for you. You put it to work.