AWS published a case study on how Couchbase built Capella iQ using Amazon Bedrock and Anthropic’s Claude family of models. The system uses a multi-model architecture rather than relying on a single model for every task.
That design choice reflects a common enterprise AI pattern. Different parts of an application may need different tradeoffs in reasoning quality, latency, cost, and reliability. Bedrock gives teams a managed way to route work across model options while keeping the application architecture under control.
The practical lesson is that production AI systems are becoming orchestration problems as much as model-selection problems. Companies need monitoring, fallback behavior, and clear boundaries around what each model is allowed to do. The strongest deployments will be the ones that make those operational details boring and repeatable.