Principles
How we are building it
Five principles govern how AI Workspace is designed. They also govern what this site is willing to claim. They are published here so that they can be held against us.
The rules
What we hold ourselves to
01
Connect before migrate
Our starting point is the systems you already run. Adopting AI Workspace is not meant to begin with a migration project.
02
Understand before automate
Automation built on a shallow understanding of an organization produces confident output that is wrong in ways only insiders notice. Understanding comes first.
03
Extend before replace
The tools your teams already know are an asset, not an obstacle. The aim is to extend what they can do, not to compete with them.
04
Reuse before rebuild
A connection, a definition, or a policy should be established once and reused across the organization, rather than rebuilt by every team that needs it.
05
Evidence before claims
We would rather show you something working than describe something planned. That is why this page makes no claims about performance, adoption, or availability.
In practice
What this means for this site
01
No claim appears here that we cannot evidence today.
02
Where something is a design intention rather than a delivered capability, it is written as one.
03
A sealed Founder Edition price is published. No further availability date and no forward plan is published.
Hold us to these in an evaluation
Ask for the evidence behind any principle on this page.