This post was originally published by Source Author on Venture Beat.
As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise systems.
Why observability secures the future of enterprise AI
The enterprise race to deploy LLM systems mirrors the early days of cloud adoption. Executives love the promise; compliance demands accountability; engineers just want a paved road.
Yet, beneath the excitement, most leaders admit they can’t trace how AI decisions are made, whether they helped the business, or if they broke any rule.
Take one Fortune 100 bank that deployed an LLM to classify loan applications. Benchmark accuracy looked stellar.
