What is an AI Knowledge Bank?

The foundation for effective AI use within your team.

Definition

All information that a language model doesn't know, but does need to help you effectively.

Why needed?

AI language models are trained on public information. They don't know your organization:

The 3 layers

A well-structured knowledge bank works in three layers, from broad to specific:

Folder structure example

A practical layout for your AI Knowledge Bank:

My AI Knowledge Bank/
├── context document            ← describes the whole
├── 01-policy/
│   ├── brand-guidelines.md
│   ├── brand-values-and-tone-of-voice.md
│   └── org-chart.md
├── 02-campaigns/
│   ├── context document        ← describes campaigns
│   ├── campaign-workflow.md
│   └── briefing-template.md
├── 03-reporting/
│   ├── context document        ← describes reporting
│   ├── monthly-report-format.md
│   └── kpi-overview.md
└── 04-templates/
    ├── email-templates.md
    └── presentation-structure.md

Start with an inventory

Use this prompt to find out what information you should collect:

Help me identify what information I need for an AI knowledge bank.

My role: [your job title]
My key work processes: [list]

Ask questions to find out which documents, templates, and implicit knowledge I should collect for effective AI use.

Focus on:
1. What information do I use daily that AI can't know?
2. What sources do I consult regularly?
3. What "unwritten rules" exist in my work?
4. What templates and formats do I use by default?