You can measure AI quality without a data team. Set clear goals, use golden tests, track user signals, and review weekly. Simple loops create reliable results.
RAG turns scattered docs into accurate answers. Clean the content, enforce access, constrain outputs, and measure quality. Start small, prove value, then scale.
Put AI where work happens. Start with one workflow, protect data, constrain outputs, measure impact, and roll out with flags. Small wins inside familiar tools add up fast.
Put LLMs in production with guardrails. Constrain inputs and outputs, test with golden sets, control rollout with flags, and monitor cost, quality, and safety from day one.