Amazon has replaced Claude Sonnet 4.6 with Strands Decider, a decision model, in its internal ticketing system, resulting in significant cost savings. The switch, made by two Amazon engineers, has reduced token costs by 98%, which is expected to save the company millions of dollars annually. Despite being a relatively new model, Strands Decider has performed just as well as Sonnet 4.6, which had been used to label tickets across 20 category types, including customer escalations and security findings. By replacing the large language model with a decision model, Amazon has achieved substantial savings without compromising performance, demonstrating the potential for more efficient and cost-effective solutions in large-scale internal systems.