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AWS Bedrock AgentCore powers AI agents for HR and business intelligence

Amazon Bedrock AgentCore is being utilized to develop sophisticated AI agents for business support, enhancing operational efficiency and reducing costs. One application involves Works Human Intelligence (WHI) building agents for HR tasks, migrating from LangGraph to AgentCore to manage multi-tenancy and improve observability. Another use case is the AWS SMGS organization's NarrateAI, a conversational assistant powered by AgentCore and a data lake, which provides on-demand business intelligence to leaders, transforming decision-making by offering immediate, context-rich insights. AI

IMPACT Enhances business operations by enabling scalable, efficient AI agents for tasks like HR support and real-time business intelligence.

RANK_REASON Multiple blog posts detail how AWS services, specifically Amazon Bedrock AgentCore, are used to build AI agents and systems, showcasing practical applications and technical solutions.

Read on AWS Machine Learning Blog →

AI-generated summary · Google Gemini · from 6 sources. How we write summaries →

AWS Bedrock AgentCore powers AI agents for HR and business intelligence

COVERAGE [6]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Dayuan Jiang ·

    Building AI agents for business support using Amazon Bedrock AgentCore

    In this post, we share how the AWS Generative AI Innovation Center (GenAIIC) collaborated with Works Human Intelligence (WHI) to build two AI agents using Amazon Bedrock AgentCore. We discuss the challenges encountered and the solutions that reduced costs by up to 97% while impro…

  2. AWS Machine Learning Blog TIER_1 English(EN) · Anusha Thatipelli ·

    How AWS SMGS uses an AI-powered conversational assistant to transform business management with Amazon Bedrock AgentCore

    In this post, we share how we built NarrateAI using Amazon Bedrock AgentCore to deliver business intelligence at scale for the AWS SMGS (Sales, Marketing and Global Services) organization. You will learn about: the two-layer architecture that separates batch processing from real-…

  3. AWS Machine Learning Blog TIER_1 English(EN) · Kanishk Mahajan ·

    Build highly scalable serverless LangGraph multi-agent systems in AWS with Amazon Bedrock AgentCore

    In this post, we provide a solution to build highly scalable, serverless multi-agent generative AI systems on AWS using LangGraph Agents as orchestrators integrated with Amazon Bedrock AgentCore Memory and Amazon Bedrock AgentCore Observability.

  4. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    🤖 How AWS SMGS uses an AI-powered conversational assistant to transform business management with Amazon Bedrock AgentCore In this post, we share how we built Na

    🤖 How AWS SMGS uses an AI-powered conversational assistant to transform business management with Amazon Bedrock AgentCore In this post, we share how we built NarrateAI using Amazon Bedrock AgentCore to deliver business intelligence at scale for the AWS SMGS (Sales, Marketing and …

  5. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    🤖 Build highly scalable serverless LangGraph multi-agent systems in AWS with Amazon Bedrock AgentCore In this post, we provide a solution to build highly scalab

    🤖 Build highly scalable serverless LangGraph multi-agent systems in AWS with Amazon Bedrock AgentCore In this post, we provide a solution to build highly scalable, serverless multi-agent generative AI systems on AWS using LangGraph Agents as orchestrators integrated with Amazon B…

  6. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    🤖 Build high-performance generative AI systems with Strands Agents, NVIDIA NIM, and Amazon Bedrock AgentCore In this post you'll learn how to build a multi-agen

    🤖 Build high-performance generative AI systems with Strands Agents, NVIDIA NIM, and Amazon Bedrock AgentCore In this post you'll learn how to build a multi-agent campaign review system that demonstrates parallel reasoning, context persistence, and traceable execution paths using …