How Clarus Care uses Amazon Bedrock to deliver conversational contact center interactions

This post was cowritten by Rishi Srivastava and Scott Reynolds from Clarus Care. Many healthcare practices today struggle with managing high volumes of patient calls efficiently. From appointment scheduling and prescription refills to billing inquiries and urgent medical concerns, practices face the challenge of providing timely responses while maintaining quality patient care. Traditional phone systems … Read more

Simplify ModelOps with Amazon SageMaker AI Projects using Amazon S3-based templates

Managing ModelOps workflows can be complex and time-consuming. If you’ve struggled with setting up project templates for your data science team, you know that the previous approach using AWS Service Catalog required configuring portfolios, products, and managing complex permissions—adding significant administrative overhead before your team could start building machine learning (ML) pipelines. Amazon SageMaker AI … Read more

Scale AI in South Africa using Amazon Bedrock global cross-Region inference with Anthropic Claude 4.5 models

Building AI applications with Amazon Bedrock presents throughput challenges impacting the scalability of your applications. Global cross-Region inference in the af-south-1 AWS Region changes that. You can now invoke models from the Cape Town Region while Amazon Bedrock automatically routes requests to Regions with available capacity. Your applications get consistent response times, your users get reliable experiences, … Read more

Scaling content review operations with multi-agent workflow

Enterprises are managing ever-growing volumes of content, ranging from product catalogs and support articles to knowledge bases and technical documentation. Ensuring this information remains accurate, relevant, and aligned with the latest business facts is a formidable challenge. Manual content review processes are often slow, costly, and unable to keep pace with dynamic business needs. According … Read more

Build reliable Agentic AI solution with Amazon Bedrock: Learn from Pushpay’s journey on GenAI evaluation

This post was co-written with Saurabh Gupta and Todd Colby from Pushpay. Pushpay is a market-leading digital giving and engagement platform designed to help churches and faith-based organizations drive community engagement, manage donations, and strengthen generosity fundraising processes efficiently. Pushpay’s church management system provides church administrators and ministry leaders with insight-driven reporting, donor development dashboards, and automation … Read more

Build an intelligent contract management solution with Amazon Quick Suite and Bedrock AgentCore

Organizations managing hundreds of contracts annually face significant inefficiencies, with fragmented systems and complex workflows that require teams to spend hours on contract review cycles. This solution addresses these challenges through multi-agent collaboration—specialized AI agents that can work simultaneously on different aspects of contract analysis, reducing cycle times while maintaining accuracy and oversight. This guide … Read more

Build a serverless AI Gateway architecture with AWS AppSync Events

AWS AppSync Events can help you create more secure, scalable Websocket APIs. In addition to broadcasting real-time events to millions of Websocket subscribers, it supports a crucial user experience requirement of your AI Gateway: low-latency propagation of events from your chosen generative AI models to individual users. In this post, we discuss how to use … Read more

How Totogi automated change request processing with Totogi BSS Magic and Amazon Bedrock

This post is cowritten by Nikhil Mathugar, Marc Breslow and Sudhanshu Sinha from Totogi. This blog post describes how Totogi automates change request processing. Totogi is an AI company focused on helping helping telecom (telco) companies innovate, accelerate growth and adopt AI at scale. BSS Magic, Totogi’s flagship product, connects and models telco business operations, … Read more

Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormation

Agentic-AI has become essential for deploying production-ready AI applications, yet many developers struggle with the complexity of manually configuring agent infrastructure across multiple environments. Infrastructure as code (IaC) facilitates consistent, secure, and scalable infrastructure that autonomous AI systems require. It minimizes manual configuration errors through automated resource management and declarative templates, reducing deployment time from … Read more

How the Amazon.com Catalog Team built self-learning generative AI at scale with Amazon Bedrock

The Amazon.com Catalog is the foundation of every customer’s shopping experience—the definitive source of product information with attributes that power search, recommendations, and discovery. When a seller lists a new product, the catalog system must extract structured attributes—dimensions, materials, compatibility, and technical specifications—while generating content such as titles that match how customers search. A title … Read more

How PDI built an enterprise-grade RAG system for AI applications with AWS

PDI Technologies is a global leader in the convenience retail and petroleum wholesale industries. They help businesses around the globe increase efficiency and profitability by securely connecting their data and operations. With 40 years of experience, PDI Technologies assists customers in all aspects of their business, from understanding consumer behavior to simplifying technology ecosystems across … Read more

How CLICKFORCE accelerates data-driven advertising with Amazon Bedrock Agents

CLICKFORCE is one of leaders in digital advertising services in Taiwan, specializing in data-driven advertising and conversion (D4A – Data for Advertising & Action). With a mission to deliver industry-leading, trend-aligned, and innovative marketing solutions, CLICKFORCE helps brands, agencies, and media partners make smarter advertising decisions. However, as the advertising industry rapidly evolves, traditional analysis methods … Read more

How Thomson Reuters built an Agentic Platform Engineering Hub with Amazon Bedrock AgentCore

This post was co-written with Naveen Pollamreddi and Seth Krause from Thomson Reuters. Thomson Reuters (TR) is a leading AI and technology company dedicated to delivering trusted content and workflow automation solutions. With over 150 years of expertise, TR provides essential solutions across legal, tax, accounting, risk, trade, and media sectors in a fast-evolving world. AI … Read more

Build agents to learn from experiences using Amazon Bedrock AgentCore episodic memory

Today, most agents operate only on what’s visible in the current interaction: they can access facts and knowledge, but they can’t remember how they solved similar problems before or why certain approaches worked or failed. This creates a significant gap in their ability to learn and improve over time. Amazon Bedrock AgentCore episodic memory addresses … Read more

How bunq handles 97% of support with Amazon Bedrock

This post was co-authored with Benjamin Kleppe, Machine Learning Engineering Lead at bunq. The integration of agentic AI is transforming the banking industry, marking a significant shift from traditional customer service systems. Agentic AI demonstrates autonomous decision-making capabilities in complex financial environments, enabling banks to provide round-the-clock multilingual support, process transactions, and deliver personalized financial … Read more

Using Strands Agents to create a multi-agent solution with Meta’s Llama 4 and Amazon Bedrock

Multi-agent solutions, in which networks of agents collaborate, coordinate, and reason together, are changing how we approach real-world challenges. Enterprises manage environments with multiple data sources, changing goals, and various constraints. This is where multi-agent architectures shine. By empowering multiple agents that each have specialized tools, memory, or perspectives to interact and reason as a … Read more

Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases

We are excited to announce the general availability of multimodal retrieval for Amazon Bedrock Knowledge Bases. This new capability adds native support for video and audio content, on top of text and images. With it you can build Retrieval Augmented Generation (RAG) applications that can search and retrieve information across text, images, audio, and video—all … Read more

Advanced fine-tuning techniques for multi-agent orchestration: Patterns from Amazon at scale

Our work with large enterprise customers and Amazon teams has revealed that high stakes use cases continue to benefit significantly from advanced large language model (LLM) fine-tuning and post-training techniques. In this post, we show you how fine-tuning enabled a 33% reduction in dangerous medication errors (Amazon Pharmacy), engineering 80% human effort reduction (Amazon Global … Read more

How Palo Alto Networks enhanced device security infra log analysis with Amazon Bedrock

This post is co-written by Fan Zhang, Sr Principal Engineer / Architect from Palo Alto Networks. Palo Alto Networks’ Device Security team wanted to detect early warning signs of potential production issues to provide more time to SMEs to react to these emerging problems. The primary challenge they faced was that reactively processing over 200 … Read more

From beginner to champion: A student’s journey through the AWS AI League ASEAN finals

The AWS AI League, launched by Amazon Web Services (AWS), expanded its reach to the Association of Southeast Asian Nations (ASEAN) last year, welcoming student participants from Singapore, Indonesia, Malaysia, Thailand, Vietnam, and the Philippines. The goal was to introduce students of all backgrounds and experience levels to the exciting world of generative AI through … Read more

Deploy AI agents on Amazon Bedrock AgentCore using GitHub Actions

Recently, AWS announced Amazon Bedrock AgentCore, a flexible service that helps developers seamlessly create and manage AI agents across different frameworks and models, whether hosted on Amazon Bedrock or other environments. Specifically, AgentCore Runtime provides a secure, serverless, and purpose-built hosting environment for deploying and running AI agents or tools. AgentCore Runtime is framework agnostic, … Read more

How the Amazon AMET Payments team accelerates test case generation with Strands Agents

At Amazon.ae, we serve approximately 10 million customers monthly across five countries in the Middle East and North Africa region—United Arab Emirates (UAE), Saudi Arabia, Egypt, Türkiye, and South Africa. Our AMET (Africa, Middle East, and Türkiye) Payments team manages payment selections, transactions, experiences, and affordability features across these diverse countries, publishing on average five … Read more

Build a generative AI-powered business reporting solution with Amazon Bedrock

Traditional business reporting processes are often time-consuming and inefficient. Associates typically spend about two hours per month preparing their reports, while managers dedicate up to 10 hours per month aggregating, reviewing, and formatting submissions. This manual approach often leads to inconsistencies in both format and quality, requiring multiple cycles of review. Additionally, reports are fragmented … Read more

Safeguard generative AI applications with Amazon Bedrock Guardrails

Enterprises aiming to automate processes using AI agents or enhance employee productivity using AI chat-based assistants need to enforce comprehensive safeguards and audit controls for responsible use of AI and processing of sensitive data by large language models (LLMs). Many have developed a custom generative AI gateway or have adopted an off-the-shelf solution (such as … Read more

Scale creative asset discovery with Amazon Nova Multimodal Embeddings unified vector search

Gaming companies face an unprecedented challenge in managing their advertising creative assets. Modern gaming companies produce thousands of video advertisements for A/B testing campaigns, with some organizations maintaining libraries with more than 100,000 video assets that grow by thousands of assets monthly. These assets are critical for user acquisition campaigns, where finding the right creative … Read more

How AutoScout24 built a Bot Factory to standardize AI agent development with Amazon Bedrock

AutoScout24 is Europe’s leading automotive marketplace platform that connects buyers and sellers of new and used cars, motorcycles, and commercial vehicles across several European countries. Their long-term vision is to build a Bot Factory, a centralized framework for creating and deploying artificial intelligence (AI) agents that can perform tasks and make decisions within workflows, to … Read more

Transform AI development with new Amazon SageMaker AI model customization and large-scale training capabilities

With the advancement in tools and services that make generative AI models accessible, businesses can now access the same foundation models (FMs) as their competitors. True differentiation comes from building AI that is highly customized for your business—something your competitors can’t effortlessly replicate. Although today’s FMs are genuinely intelligent with vast knowledge and reasoning capabilities, … Read more

Securing Amazon Bedrock cross-Region inference: Geographic and global

The adoption and implementation of generative AI inference has increased with organizations building more operational workloads that use AI capabilities in production at scale. To help customers achieve the scale of their generative AI applications, Amazon Bedrock offers cross-Region inference (CRIS) profiles, a powerful feature organizations can use to seamlessly distribute inference processing across multiple … Read more

How Omada Health scaled patient care by fine-tuning Llama models on Amazon SageMaker AI

This post is co-written with Sunaina Kavi, AI/ML Product Manager at Omada Health. Omada Health, a longtime innovator in virtual healthcare delivery, launched a new nutrition experience in 2025, featuring OmadaSpark, an AI agent trained with robust clinical input that delivers real-time motivational interviewing and nutrition education. It was built on AWS. OmadaSpark was designed … Read more

Crossmodal search with Amazon Nova Multimodal Embeddings

Amazon Nova Multimodal Embeddings processes text, documents, images, video, and audio through a single model architecture. Available through Amazon Bedrock, the model converts different input modalities into numerical embeddings within the same vector space, supporting direct similarity calculations regardless of content type. We developed this unified model to reduce the need for separate embedding models, … Read more