Technical deep dive
CloudCast AI control plane
A reference architecture for teams who need API-grade AI with governance and observability baked in—not bolted on after an incident.
Logical stack (AWS / GCP / Azure compatible)
API-first design
Every workflow exposes stable JSON contracts and webhooks. Clients integrate with BI tools, ERP, and custom apps without scraping chat transcripts.
Multi-cloud posture
Deploy to AWS, GCP, or Azure with the same logical layers. Use regional residency patterns for data sovereignty and latency.
Monitoring layer
Golden signals for inference: latency, error rate, saturation, plus business SLOs tied to workflow outcomes—not just GPU charts.
Observability metrics
Trace coverage, drift indicators, cache hit rate, cost per successful task, and audit export volume—so finance and ops share one vocabulary.
For CTOs
This page is a conversation starter. Bring your constraints—data residency, on-prem LLMs, existing Kubernetes—and we map them to a phased rollout with clear blast-radius controls.
Start qualification