Bedrock

The Chaplin solution utilizes AI agents powered by Amazon Bedrock and exposed through the Model Context Protocol (MCP) to provide self-service health event analytics for AWS Health notifications. This approach enables teams to ask questions in natural language and receive precise, contextualized answers without relying on AWS Support. With Chaplin, teams can identify actionable health insights, prioritize events, and make informed decisions. The practical implication for engineers building AI systems is that they can leverage Chaplin to streamline health event management and focus on innovation rather than reactive firefighting.

The Amazon Bedrock AgentCore enables the implementation of production-ready multi-tenant systems with complete tenant isolation, service tier differentiation, and granular cost tracking. The solution demonstrates a three-level hierarchy: Tier → Tenant → User, with isolation enforced at every layer using native AWS capabilities. The example solution implements two service tiers, Basic and Premium, using different models, Mistral Ministral 3 8B Instruct and OpenAI GPT OSS 120B, to cater to diverse customer needs. This approach allows for efficient resource utilization and scalable multi-tenant AI architectures.

Ampersend has built a pay-per-intelligence routing layer on top of Amazon Bedrock AgentCore Payments, enabling AI agents to autonomously route tasks to the most effective model and pay per request within governed limits. The two-hop payment pattern allows agents to pay for intelligence services across multiple model providers through a single integration point, powered by the x402 open protocol. This solution addresses the infrastructure gap in payment infrastructure for autonomous agents, providing a managed payment infrastructure that is secure, auditable, and governed. The practical implication for engineers building AI systems is that they can now focus on agent logic without having to build bespoke billing integrations, credential management, and payment orchestration from scratch.

Amazon Bedrock AgentCore now offers a fully managed web search capability, allowing AI agents to access up-to-date information from the web without infrastructure overhead. This feature, compatible with the Model Context Protocol (MCP), provides a purpose-built web index spanning tens of billions of documents, updated continually to reflect new content within minutes. The privacy model ensures that queries stay within AWS, and retrieval can combine a knowledge graph with semantic snippet extraction. This development has significant implications for engineers building AI systems, as it addresses the limitation of frozen knowledge at training time and enables agents to respond to real-time queries.