Make your knowledge useful. Keep control of it.
Understand the data, permissions and operating foundations needed before putting AI into everyday work.
Discuss your situationQuestions worth asking.
- Where is the knowledge, and who owns it?
- Which information should each person be allowed to retrieve?
- How will answers stay accurate as information changes?
A practical approach.
01
Map the foundations
Inventory sources, owners, permissions and data quality.
02
Design a bounded pilot
Define retrieval, citations, evaluation and access boundaries.
03
Plan for change
Address freshness, deletion, monitoring and long-term operating ownership.
What we can work toward.
- Platform and knowledge readiness map
- Permission and quality requirements
- Pilot scope and evaluation plan
We agree the scope, priorities and engagement format around your team’s situation.
When it’s a good fit.
For organizations preparing a specific platform or knowledge workflow for AI.
Related work.
An independent-product example of knowledge retrieval and persistent context. The readiness work extends these questions to organizational access, ownership and operations.
Context and retrieval in learning appsA GOOD PLACE TO STARTWhat are you
What are you
working on?
A product to build. A team to lead.
A question about where AI fits.