How Enterprise AI Is Observed and Evaluated
An AI assistant can answer quickly and still be wrong. Learn how traces, retrieval checks, answer evaluation and verified tool outcomes help engineers find the failed step.
An AI assistant can answer quickly and still be wrong. Learn how traces, retrieval checks, answer evaluation and verified tool outcomes help engineers find the failed step.
An AI agent is a runtime loop around a language model and approved tools. Follow a task through model decisions, policy checks, execution, observations and safe completion.
A language model is only one part of an enterprise AI system. Follow a question from the application through company data, access checks and retrieval to an answer or an approved action.
Enterprise AI projects are often framed as model-selection exercises. Teams compare reasoning quality, context windows, latency and price, then assume implementation begins once a provider has been chosen. In practice, a capable model is usually the easiest component to replace. The difficult work begins when an AI system must operate inside the enterprise: use live […]