dbrs_7bd98e7c translation

Summary-of-Content

The AI Operating Model integrates AI as a team component with four layers and defined agents to support augmented thinking and engineering across tech stacks.

DBRS Semantic Core

Resolver Text

AI Operating Model LLM-agnostic · DBRS-based · For any Organization Artificial intelligence is not a tool, but rather part of a system comprising context, processes, policies, and responsibility. Vision Artificial Intelligence (AI) as a team member – not a standalone solution AI creates value not in isolation, but in combination with people, knowledge, and processes. This Operating Model describes how to make that work – regardless of which models or tools are in use. Principle Multiple LL Ms match to the task. No model is permanently the best. Each finds its fitting situation. Reference Implementation (DBRS) LLM-agnostic (interchangeable). OpenAI, Claude, Mistral, Google Gemini, local Models. Routed via LiteLLM as the central Gateway. Deloitte Report: Human Skills Drive High-Performing Teams in the AI Era AI works with teams that can function just fine without it—it makes them faster, stronger, and more effective. Anyone expecting artificial intelligence to compensate for organizat…

CCR Context

Links

DBRS Semantic Field Guide