Three Layers, One System: The Rally Framework

The gap between 'we built an AI prototype' and 'this is running in production reliably' is where most AI projects die. It's not a technology problem. It's an architecture problem.

Every AI initiative has three phases, and most companies treat them as three separate projects with three separate teams and three separate tools. That's why 87% of AI projects never make it to production.

Studio: Build & Develop This is where you assemble the pieces — packs of domain knowledge, agent configurations, prompt templates, workflow designs. Studio isn't just an IDE. It's a curated environment where every component is versioned, tested, and governed before it ever touches a customer.

Edge: Deploy & Operate This is where Studio output meets the real world. Edge handles client deployments, health monitoring, telemetry, and the messy reality of keeping AI systems running across different environments. Each client gets their own isolated deployment with their own data, their own policies, and their own SLAs.

Summit: Ship & Scale This is where proven patterns become products. Once something works reliably in Edge for multiple clients, Summit packages it as a repeatable product — billing, compliance, insights, reporting all included.

The magic isn't in any single layer. It's in the handoff. Studio output feeds directly into Edge deployments. Edge telemetry feeds back into Studio improvements. Summit products are built from Edge-proven patterns, not PowerPoint dreams.

One system. Three layers. No gaps.