User experience
Teams use familiar applications and aliases. Routine work can use a suitable approved route while higher-risk work follows stricter policy. Provider credentials stay out of end-user tools.
Flagship story · Contextual routing
Translation, summarization, coding, customer support, analysis, and internal knowledge workloads share AI infrastructure—but differ in risk, context, latency, and model requirements.
Without a common control layer
The governed interaction
Teams use familiar applications and aliases. Routine work can use a suitable approved route while higher-risk work follows stricter policy. Provider credentials stay out of end-user tools.
How the model expands
Once an organizational profile and route are proven, the pattern can extend to other applications and teams without embedding provider logic in each product.
Private briefing
Apply this control model to one workflow.
Review the boundary, policy, and route with Skris.