AI and organisational memory

AI and Organisational Memory

A company can gain AI tools while losing the context that makes its knowledge useful. This developing guide brings together 2 articles on the systems and decisions that preserve that context.

The question

Can the organisation still use what it knows?

Useful knowledge is more than a document collection. It needs ownership, context, maintenance and a path into real decisions.

Working knowledge

An archive becomes useful only when people can find, assess and apply what it contains.

Article pages and research notes are reviewed before one new draft is prepared.

Core reading

Writing with AI Means Thinking About Your Archive, Too

What Casey Newton’s LLM wiki reveals about using AI to connect new articles with an existing archive, research notes, and editorial decisions.

Read →6 min

Protecting memory

AI adoption can create hidden dependencies unless experience and ownership are made visible.

A sparse editorial diagram shows company knowledge carried from an existing role into a new AI-supported workflow

Core reading

Protect Organizational Memory During an AI Transformation

Why experience, organizational memory, and employee trust need protecting when an AI-led restructuring changes how a company works.

Read →7 min

Knowledge and decisions

The goal is not a more impressive search box. It is better decisions based on clearer evidence.

Articles in this part of the guide are being prepared.