Daily AI news, sourcedOfficial news, first rumor reports and substantive progress. Each entry keeps the information published at that time.
- AWS says U Mobile runs agentic telco operations on Amazon Bedrock AgentCore
AWS published a customer story on Malaysia’s U Mobile building AiDaH, an agentic AI operations platform on Amazon Bedrock AgentCore for autonomous action across telco operations. Nine months after production launch, AWS says AiDaH handles more than 150 operational scenarios across six divisions and cut trouble tickets by up to 84.5%.
- Circle K cuts DevOps incident triage under 15 minutes with Amazon Bedrock AgentCore
An AWS Machine Learning blog case study says Circle K’s DevOps team cut incident triage from about 45–60 minutes to under 15 by building an agentic triage system on Amazon Bedrock, starting on Bedrock Flows and later migrating to Amazon Bedrock AgentCore, with architecture notes and scaling lessons for production ops.
- MoEngage turns 400 APIs into agent tools on Bedrock AgentCore Gateway
In an AWS engineering case study, MoEngage describes converting roughly 400 private REST APIs across 7 AWS Regions into permission-scoped agent tools with Amazon Bedrock AgentCore Gateway, without per-service MCP servers or public endpoints. The post is part of AWS's AgentCore partner series.
- Eon moves its multi-cloud incident tooling behind one Amazon Bedrock AgentCore MCP gateway, AWS says
In an AWS guest post co-written with Eon, the company describes replacing per-tool credentials and locally run MCP servers with a single authenticated Amazon Bedrock AgentCore gateway for investigation tools across AWS, GCP and Azure. Developers and Eon's autonomous SRE agent, which runs Claude on Amazon Bedrock, use the same gateway with different permissions. Eon says new engineers now reach all their investigation tools in about two minutes instead of the roughly two days it took to set up credentials and local MCP servers.
- AWS details a nine-stage evaluation framework on Bedrock AgentCore for catching silent agent quality regressions
AWS describes the continuous quality loop it built on Amazon Bedrock AgentCore for an internal multi-agent system that answers sellers' business questions from Amazon Quick. The post argues agents fail softly, with fluent but wrong answers while monitoring stays green, citing pre-launch cases such as $410.08 of revenue reported as $410.08 million. Its nine-stage framework is meant to catch such regressions across the agent lifecycle, from first commit to live production.