Cloud / AI Environment
Operational Decision Runtime for Cloud and AI systems
A Raven environment for SRE, platform, FinOps, AI infrastructure and governance teams that need decisions before SLO burn, inference degradation or cost acceleration becomes a board-level problem.
Mode reference tenant
Data synthetic / public-safe
Action no live write
Authority human approval
What Raven adds here
Core problemCloud, Kubernetes and AI teams often have visibility before they have a defensible decision. Raven turns weak operational signals into a decision packet, not an automatic action.
Reference tenant30 synthetic days 1 248 000 observations 74 candidate decision windows median window 16 minutes.
Observed signal groupsinference latency or quality degradation: 21, error budget or slo burn: 18, kubernetes rollout or restart pattern: 16, gpu capacity or queue pressure: 14
Architecture choiceShared Raven core with an environment-specific Cloud/AI module. Tenant boundary, RBAC, audit, decision packets, reporting and human approval stay common across ISP, Telco and Cloud/AI.
Current stateReference/pilot design partner ready: True. Live customer runtime remains gated by customer scope, identity, data room and read-only integration.
Start paths
ResearchCloud/AI Findings explain the problem through public-safe research language.
ReportCloud/AI report demos show what a customer receives in Silver, Gold and Platinum depth.
PilotCloud/AI pilot path shows how to start without production risk.
AppCloud/AI operator cockpit shows voice-led decision guidance using synthetic data.