DiDi partnered with AWS to build an intelligent contact center quality assurance (QA) system on Amazon Bedrock for its International Business Group’s Customer Experience (CX) department. The system covers Spanish and Portuguese across three business lines (ride-hailing, food delivery, and financial services) and migrates QA capabilities from an opaque third-party solution to a transparent, self-owned … Read more
This post shows how to deploy a multimodal WhatsApp ordering assistant built with Amazon Bedrock AgentCore and Amazon Nova 2. Many quick-service restaurants spread ordering across an app, a website, a phone line, and the counter. Each of those is a separate system to build and run. Each one also fragments the customer’s history, making … Read more
Memory lifecycle policies help long-running agents on Amazon Bedrock AgentCore stay effective by systematically managing what they remember and forget. Your agent generates memories from every conversation it conducts. If you don’t actively manage these memories, your agents will accumulate outdated context, which can degrade response quality and create compliance risks for your deployment. After … Read more
A Physical AI system, such as a robot or autonomous vehicle (AV) that translates real-world data into physical actions, can’t be built in a single training job. Instead, it takes a continuous pipeline: a loop of generating synthetic data, post-training perception and policy models, so the system understands its surroundings and can act, and evaluating … Read more
If you run foundation model (FM) workloads on Amazon SageMaker HyperPod, you know the work is rarely a single task. It is a chain of dependent ones. An infrastructure team creates the network and control plane, attaches accelerator capacity, and installs cluster dependencies in the right order. It also prepares storage and identity, keeps distributed … Read more
For customer service teams handling thousands of utility bills each month, accurately parsing and analyzing complex, multi-page documents is a persistent challenge. Inconsistent formats, dense tables, and varied layouts make it difficult to extract the right information quickly. This leads to delayed responses, billing errors, and frustrated customers. As document volumes grow, these inefficiencies compound, … Read more
Disaster recovery (DR) at scale is hard. When thousands of microservices span multiple AWS Regions, coordinating a reliable failover becomes a major operational challenge. At Intuit, we operate at this scale. We support products that millions of people rely on to run their businesses and manage their finances. These include TurboTax, QuickBooks, Mailchimp, and Credit … Read more
Engineering teams adopting the AI-Driven Development Lifecycle (AI-DLC) with Amazon Bedrock AgentCore and coding agents like Kiro often struggle with the gap between conceptual frameworks and working code. Amazon Bedrock AgentCore is a service for building, connecting, and optimizing agents at scale with any framework or model. AI-DLC positions AI as a central collaborator across … Read more
An agent that works in a notebook isn’t an agent in production. After real users arrive, you own work that has nothing to do with your agent’s reasoning. Keep one user’s session out of another’s, and hold state across turns and days. Auth for every tool the agent calls sits in your code, and the … Read more
AI is changing the shape of the workday, and effective implementations quietly remove work, which can lead to meaningful time savings. According to a recent Gartner study, AI saves sellers nearly five hours a week. Email is often where that shift shows up first. As a company grows across teams and time zones, email grows … Read more
OpenAI ChatGPT Codex with LiteLLM can provide centralized enterprise controls for generative AI coding agents. These agents help developers understand repositories, write code, run tests, and complete multi-step engineering tasks. As organizations move from individual experimentation to managed adoption, teams need a consistent way to control model access and attribute consumption. They must also apply … Read more
Agentic automations are transforming how enterprises run their business processes. Instead of following rigid scripts, AI agents reason about context, adapt to variation, and collaborate with people and other agents to move work forward. Amazon Quick Automate is a multi-agent automation capability within Amazon Quick that helps organizations build, deploy, and maintain these automations at … Read more
Australian teams working with OpenAI models can now access the latest OpenAI models through Amazon Bedrock. Amazon Bedrock offers OpenAI GPT-5.6 Sol, Terra, and Luna with global cross-Region inference from both Asia Pacific (Sydney) and Asia Pacific (Melbourne) AWS Regions in Australia. Your application calls the Amazon Bedrock Runtime endpoint in Asia Pacific (Sydney) or … Read more
Scaling support operations requires handling rising ticket volumes, meeting strict Service Level Agreements (SLAs), adapting to evolving compliance requirements, and maintaining documentation that quickly becomes outdated, all without proportional increases in headcount. In many teams, the knowledge required to resolve tickets is fragmented across SOPs, recordings, and tribal expertise, forcing analysts to spend significant time … Read more
Picture a scenario familiar to any organization running business intelligence (BI) at scale: A user opens a dashboard minutes before an important meeting and finds a blank chart. Every infrastructure monitor reports healthy. Servers are up, APIs respond, and the data pipeline completed on schedule. Yet the content on screen is broken, and no monitoring … Read more
Architecture documentation remains one of the most persistent challenges in software development as code bases evolve rapidly. Development teams often spend hours manually creating architecture diagrams, only to watch them become outdated within weeks of deployment. This documentation gap creates knowledge silos, slows developer onboarding, and complicates compliance audits. Amazon Bedrock AgentCore is the platform … Read more
This post was co-authored with Marc Steren, Odina Salihbaeva, and Aashrit Surapaneni from University Startups, a partnership between University Startups, g/d/n/a, and AWS. Trinity is a conversational AI solution that helps students with disabilities take ownership of their postsecondary planning. It was developed by University Startups, which was founded in 2020 on a straightforward belief: … Read more
Today, we’re excited to announce the availability of Claude Fable 5.1 on Amazon Bedrock and Claude Platform on AWS. Claude Fable 5.1 delivers frontier intelligence for ambitious tasks across coding, scientific research, and enterprise workflows. Given its capabilities, Anthropic has designated Fable 5.1 a Covered Model, a category of Claude models that carry additional data … Read more
When Atos set out to upskill 400 engineers from theory to delivery in agentic AI, the team faced a familiar challenge: how to build real-world capability, not only theoretical knowledge. Online courses and classroom-based instruction build foundations, but they do not always give teams the confidence or practical experience needed to apply AI effectively to … Read more
Generative AI spend behaves unlike any cost line before it. Traditional compute scales with provisioned capacity. AI spend scales with behavior: a single engineer running an agentic coding loop against a premium model can burn more tokens in a few hours than a team does in a week. This is the tokenomics problem: usage is … Read more
Amazon Quick proof of concept (POC) projects often succeed with a small pilot team, then stall when security and compliance teams review the production plan. A permission model that works for ten pilot users often breaks when you add five departments. Agents can return data outside their intended scope, and compliance teams struggle to audit … Read more
An agentic system can research, reason, and orchestrate multi-step workflows, but the moment it hits a paywall, it stops. It has no wallet, no card, and no spending limit. t54 solved that problem. Amazon Bedrock AgentCore is a platform to build, connect, and optimize agents at scale, with any framework or model. Their trust layer … Read more
This blog post is co-written with Kiran Dhamane, Abhishek I S, and Mayur Ghodekar from ZS Associates Organizations in regulated industries face a persistent tension: give developers the agility they need for ad-hoc analytics, or lock down the environment to meet compliance requirements. In this post, we explore how ZS built a security-hardened Amazon SageMaker … Read more
Boomi Scribe alleviates documentation, one of the most persistent sources of technical debt for enterprise development teams. Enterprise developers often struggle to create and maintain documentation, especially when workflows (automated business processes) involve integrations with multiple enterprise applications and data sources. Boomi recognized this challenge and built Boomi Scribe, an AI-powered agent running on AWS … Read more
Model Context Protocol (MCP) servers allow foundation models to access external data and tools, supporting standardized, secure access to files, databases, and APIs. They give AI agents the ability to interact with real-world applications, reduce hallucinations with accurate context, and offer stateful, multi-turn capabilities. Industry-standard architectures quickly evolved and adopted MCP to power agentic AI … Read more
We’re excited to share that AWS has been recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025. In this evaluation of 13 providers, AWS received the highest score in the Strategy category. We believe this recognition reflects our commitment to delivering flexible, cost-efficient AI infrastructure that helps you move from experimentation … Read more
Most organizations scaling their use of agents and tools hit the same challenges. Teams build in isolation, with no shared record of what exists, who owns it, or whether it’s been reviewed. The problem has moved from building agents and tools to discovering and governing them. AWS Agent Registry is purpose-built to solve this. Now … Read more
Teams that add Retrieval Augmented Generation (RAG) to a foundation model usually start with a single retrieval step against a single knowledge base. That works until the questions get harder, when the answer spans several sources, or the system has to decide which source to consult before it can respond. Enterprise agentic retrieval solves that: … Read more
Multi-tenant agentic chat assistants have become a frequent request for large-scale customers, and document chat sits at the top of the list. A user uploads a contract, a report, or a product manual, and then researches or asks questions about it immediately or in the future. The conversational interface is straightforward to build, but the … Read more
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. It provides low-latency online serving for real-time inference, an offline store for historical retention and training feature data, and supports both streaming and batch ingestion patterns. As ML platforms mature, two operational gaps surface … Read more