A strong single model is often enough. Extra models only earn their keep if they change the decision.
Where we help
Problem framing: what the model is allowed to decide.
Model and vendor selection on quality, latency, and cost.
Pipelines that keep context lean instead of dumping the whole history every call.
Evaluation: first-answer quality vs later rewrite quality.
Human sign-off. Models challenge. Humans close.
PoA is the in-house test bed for that last point. It is a research console, not a promise that a committee of models is smarter than one good one.