Audience 01
Enterprise architects
Uses the product where the cost of an unscoped action is higher than the cost of setup.
Knowledge & context · Concept
Where the work actually changes.
GraphNative AI is aimed at Enterprise architects, data and AI teams, knowledge platform operators.
01
Who it is for
Three audiences, one boundary model.
Audience 02
data and AI teams
Needs the same permission model for people and agents.
Audience 03
knowledge platform operators
Needs the same permission model for people and agents.
02
Use cases
Each row maps a capability to the operational change it is meant to produce.
| Capability | Operational change | Status |
|---|---|---|
| Canonical entity and relationship graphs | Turns a manual control into an explicit contract. | Specified |
| Graph-based context retrieval | Makes an existing action reviewable. | Specified |
| Provenance-aware intelligence | Turns a manual control into an explicit contract. | Specified |
| Semantic reasoning and orchestration interfaces | Turns a manual control into an explicit contract. | Specified |
| Graph analytics, API and MCP access | Makes an existing action reviewable. | Specified |
03
Migration
How a team would move from the status quo without a big-bang cutover.
Step 01
Map the current path
Name the tools, owners and handoffs that the product replaces. Nothing is removed yet.
Step 02
Run one capability
Pick a single scoped capability and run it alongside the old path, with evidence compared side by side.
Step 03
Retire the old path
Remove the previous tool only when the new record is complete enough to audit.