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Amazon Bedrock

79 use cases using this technology · by Amazon Web Services

79published use cases
23industries
17countries on record
Generative AI
top AI capability

Evidence mix: High 79 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
Country

79 use cases

Technology & SoftwareConversational AIAgentic AI

Wondr Health scales trusted health coaching with Claude

Wondr Health, a digital behavior-based weight management program offered as an employer benefit, worked with AI engineering firm Blank Metal to build Wonda, an AI coaching layer running on Claude via Amazon Bedrock: Claude Opus 4.5 powers coaching conversation reasoning, Sonnet runs a parallel safety subagent that monitors every conversation turn and escalates risk to human coaches via Zendesk, and Haiku runs automated evaluations, with onboarding answers grounded in Wondr's curriculum through a RAG pipeline. Before launch, Wondr's clinical and coaching teams tested Wonda against more than 700 questions across six user personas. The AI coaching layer compresses onboarding that historically took a human coach 30 to 60 minutes into a 10-minute guided conversation.

Wondr HealthClaude Platform · Amazon Bedrock · LangGraph +2
Technology & SoftwareAgentic AIConversational AICode Generation

How Rocket Money built its personal finance agent with Claude

Rocket Money, a personal finance app used by millions, built Rowan, a financial agent reachable by text message, on Claude via Amazon Bedrock. Rowan routes each request through a Haiku 4.5 classifier to single-responsibility subagents, with Sonnet 5 handling most tasks and Opus 5 reserved for financial tasks needing deeper reasoning, and automates routine tasks like subscription cancellation as deterministic code that an agent repairs when a website changes. During Rowan's beta the team saw near-zero hallucinations, with apparent errors tracing to source data rather than the model, while monthly code commits grew 11x from 11 in December to 128 in July as the team built the agent.

Rocket MoneyClaude Platform · Claude Code · Amazon Bedrock
Consumer GoodsAgentic AIGenerative AI

Vxceed builds a near real-time multi-agent AI platform using Amazon Bedrock

Vxceed, a global SaaS provider of AI-powered sales and distribution solutions for consumer packaged goods (CPG) companies, built a multi-agent AI platform on Amazon Bedrock to interpret store-level signals in near real time across traditional trade retail outlets. Specialized agents interpret field signals, summarize patterns, generate narrative explanations, and recommend next steps, and also collaboratively produce short AI-generated video news bulletins (script, audio, and visuals each by a different agent) summarizing daily risks and opportunities. Built with Amazon DynamoDB, AWS AppSync WebSockets, AWS Lambda, and AWS Step Functions, the platform processes about US$250 million in daily transactions for major customers, expanded outlet coverage from 1.6 million to over 2 million stores in 18 months, and delivered 5-10% sales uplift and 15-25% improvement in promotion ROI through earlier issue detection.

VxceedAmazon Bedrock · Amazon DynamoDB · AWS AppSync +2
Media & EntertainmentGenerative AIMachine LearningLarge Language Models

Launchmetrics uses generative AI to cut brand-analytics prototype development from 5 months to weeks

Launchmetrics, an AI-driven marketing analytics company for the fashion, lifestyle, and beauty sectors, uses Amazon Bedrock generative AI in a two-step process: first using machine learning to identify keywords describing brands across tens of millions of chunks of online text, then using large language models to score identified trends against brand dimensions and translate the analysis into narratives marketing professionals can understand without data science expertise. Using generative AI on AWS, Launchmetrics sped up prototype development from as long as 5 months to just a few weeks, and gained the ability to generate synthetic data sets for brands with little online presence, allowing it to move from managing hundreds of brands with AI to thousands.

LaunchmetricsAmazon Bedrock · Amazon S3
Technology & SoftwareConversational AILarge Language ModelsSpeech & Audio AIGenerative AI

Oriserve's generative AI voice bots cut cost to serve 50% and lift a telecom client's customer retention 75%

Oriserve, an India-based generative AI customer engagement startup, built multilingual AI agents and conversation analytics on Amazon Bedrock supporting more than 120 languages and dialects. Using large language models including Claude 3.5 and Llama 3-70B, Oriserve reduced its cost to serve by 50% and cut LLM fine-tuning time from weeks to days, while its voice bot achieved 90% automatic speech recognition accuracy with 60% fewer word errors than industry standards. Indian telecom provider Vi used Oriserve's generative AI agents to immediately engage customers during the narrow window after a number-port request is created, increasing customer retention rates by 75%; other customers included an education technology company that tripled qualified leads and a global retail brand that saw a 10% revenue boost.

Oriserve· IndiaAmazon Bedrock · Amazon Titan · Amazon EC2 Auto Scaling +1
Financial ServicesGenerative AIConversational AIDocument Intelligence

EXL Transforms Insurance Underwriting with Generative AI Assistant Built on Amazon Bedrock

EXL, a global data analytics and digital solutions company, built LDS Underwriting Assist, a retrieval-augmented generation chatbot integrated into its Life Digital Suite (LDS) platform to help insurers streamline the underwriting assessment and review stages that previously required underwriters to manually review hundreds of pages of documents. The service uses Anthropic Claude 3 Sonnet on Amazon Bedrock with Amazon Kendra as the chatbot interface, Amazon Textract to extract data from scanned documents, and Amazon Comprehend to analyze text and redact PII and protected health information for compliance with regulations such as India's PII guidelines. EXL tested multiple foundation models (Mistral AI, Claude 2, Sonnet 3, Amazon Titan) to minimize hallucinations before launching the service in August 2024, just 60 days after starting development. EXL reports the solution reduces underwriting processing time from several days to a few hours and has the potential to cut underwriting costs by up to 80%.

EXLAmazon Bedrock · Anthropic Claude 3 Sonnet · Amazon Kendra +2
Financial ServicesGenerative AIComputer VisionDocument Intelligence

Empowering Employees to Work Strategically Using Amazon Bedrock with BDM

Big Data Mining (BDM), a Brazilian company, built LOUIS, a bespoke generative AI model on Amazon Bedrock combining computer vision and natural language processing to process complex, unstructured corporate documents (contracts, powers of attorney) across more than 100 models and 15 industries. A large Brazilian financial institution deployed LOUIS to replace a team of 150 professionals manually evaluating over 40,000 unstructured processes per month for opening legal-entity accounts and contracting credit, standardizing interpretation criteria and reducing operational effort by more than 40%, an estimated $4.2 million in cost savings over five years. In insurance, LOUIS reduced life insurance claim processing from up to six months to just a few minutes by capturing required data in about 60 seconds. BDM reports documents are processed 85% faster than manual interpretation with 98% accuracy, and saved roughly 50% on development costs by building on Amazon Bedrock rather than writing the application from scratch.

Big Data Mining (BDM)· BrazilAmazon Bedrock · Amazon S3 · Amazon EC2 +1
InsuranceDocument IntelligenceComputer VisionPredictive Analytics

Agroseguro improves its agricultural insurance offering thanks to AWS's generative AI

Agroseguro, the Spanish Association of Combined Agricultural Insurance Insurers, is applying generative AI as part of a cloud migration to AWS. The insurer is pursuing AI projects for detecting fraud within insurance lines using data learning techniques, and for analyzing images as part of claims assessment using artificial vision techniques. Using Amazon Bedrock, Agroseguro has started a project applying natural language processing to help understand technical and legal documents, particularly the terms and conditions for its different insurance lines and assessment rules. The company is also developing predictive models using AI to produce more accurate risk analysis and pricing across its insurance lines.

Agroseguro· SpainAmazon Bedrock
CybersecurityGenerative AI

WithSecure Built Luminen, an AI Cybersecurity Assistant, on Amazon Bedrock

Cybersecurity company WithSecure built Luminen, a generative AI assistant on Amazon Bedrock, to help organizations detect and respond to security events faster, minimizing damage and reducing downtime. WithSecure provides cybersecurity solutions for mid-market companies, prioritizing privacy, data sovereignty, and regulatory compliance in the European Union. Luminen integrates with WithSecure Elements and includes a Security Awareness Assistant that analyzes complex data tables to provide a 7-day security status overview, and an Investigation Assistant that analyzes technical data on identified security issues to build a narrative. Development began in December 2023, a public beta released in May 2024, and Luminen launched in September 2024. WithSecure also uses Amazon Neptune to build knowledge graphs storing relationships between security events.

WithSecureAmazon Bedrock · Amazon Neptune
LegalAgentic AIDocument Intelligence

Delivering agentic AI to law firms globally using AWS with stp.one

stp.one, a Karlsruhe, Germany-based legal tech provider founded in 1993, built Legal Twin, an AI-driven platform integrated with its document management system STP Documents, using Amazon Bedrock (including Anthropic's Claude and the Titan embedding model) and Amazon Aurora PostgreSQL. Legal Twin offers six AI-powered capabilities including intelligent contract risk analysis and automated receivables processing, with responses grounded in case documents and court decisions and citations shown so lawyers can verify sources. It supports Model Context Protocol integration and lets clients with data sovereignty requirements store and process data locally, connecting on-premises storage with cloud-based processing. Certain claims that traditionally took 6-10 minutes to file can now be processed in under 30 seconds using Legal Twin, and productivity gains for users reach up to 3x at the upper end. The platform must comply with GDPR and Germany's federal code for lawyers.

stp.one· GermanyAmazon Bedrock · Anthropic Claude · Amazon Titan embedding model +2
Technology & SoftwareGenerative AIConversational AI

Attensi Uses the Power of AI to Reduce the Time It Takes to Develop Content by up to 95%

Norwegian gamified-training software company Attensi enhanced its Creator authoring tool and simulation training platform with generative AI built on AWS services including Amazon Bedrock, Amazon SageMaker, and Amazon EKS, plus AWS Partner Hugging Face. The AI features generate dialogue, tasks and minigames, translate text, and convert text to speech, cutting content-creation time by 90-95% with Creator's AI copilots. Attensi's aggregate customer data shows game-based training drives a 19% productivity increase, 5x faster time to competence, 85% knowledge-gap closure, 2.5x revenue growth, and 75% attrition reduction.

Attensi· NorwayAmazon Bedrock · Amazon SageMaker · Amazon Elastic Kubernetes Service (EKS) +1
RetailComputer VisionGenerative AI

Miroglio Group Unleashes Fashion Innovation in Italy with Generative AI on AWS

Italian fashion company Miroglio Group, which designs and distributes 10 fashion and lifestyle brands across 41 countries, worked with AWS Partner Data Reply to replace its manual product-tagging process with a generative AI-powered tagging system built on Amazon Bedrock using Anthropic's Claude 3.5 Sonnet, combined with a machine learning model trained on the company's historical images. The system analyzes product images and generates accurate technical and editorial tags and descriptions across multiple languages, reaching almost 90 percent accuracy and cutting a task that previously took one month down to about one hour.

Miroglio Group· ItalyAmazon Bedrock · Claude 3.5 Sonnet
Financial ServicesConversational AIDocument IntelligenceAgentic AI

N26 automates customer operations with Claude

N26, a fully licensed digital bank serving customers across 24 European markets, deployed Claude via AWS Bedrock in Europe to automate document-heavy customer service workflows. Since 2024, N26 has integrated Claude into more than 15 internal applications: a customer-facing virtual assistant providing instant support in five languages, automated chargeback handling that translates documentation and recommends decisions on complex cases, processing of incoming physical claim letters, and financial crime analysis where Claude synthesizes customer data and auto-drafts investigation reports. One year after implementation, N26 automated up to 70% of tasks across targeted processes and reduced manual processing by up to 50% in specific processes.

N26Claude Platform · Amazon Bedrock
Life SciencesGenerative AIDocument Intelligence

Novo Nordisk accelerates clinical documentation and drug development with Claude

Novo Nordisk, a global pharmaceutical company headquartered in Europe, built NovoScribe, an AI-powered documentation platform using Claude Code, Amazon Bedrock and MongoDB Atlas, to automate clinical study report (CSR) generation. Claude helped cut writing times on CSRs by 90%, reducing time spent producing clinical study documentation from 10+ weeks to 10 minutes, and delivered a 95% reduction in resources needed to create device verification protocols. The platform expanded from clinical trial reports to device protocol documentation and patient materials, and an 11-person development team, including non-technical staff, now prototypes features using Claude Code.

Novo NordiskClaude Code · Amazon Bedrock · MongoDB Atlas
Technology & SoftwareRecommendation & Personalization

Bynder Reduces Search Time by 75% Using Amazon Bedrock with Amazon Titan Multimodal Embeddings

Bynder, a digital asset management company serving over 4,000 companies globally and storing more than 175 million assets (18 PB of data), built visual-similarity search using Amazon Titan Multimodal Embeddings in Amazon Bedrock. The solution converts images and search queries into vectors to match by visual and contextual similarity. One Bynder customer reports that time spent searching for assets for a typical campaign task decreased by 75%, and search results return approximately 50% more relevant options on average. Bynder does not use customer data to train the underlying large language model. The company is now exploring frame-by-frame video indexing.

BynderAmazon Bedrock · Amazon Titan Multimodal Embeddings
Government & Public SectorGenerative AIDocument Intelligence

Swindon Borough Council makes public information accessible with an Easy Read generative AI tool built on Amazon Bedrock

Swindon Borough Council, a local authority in England, built an Easy Read solution using Amazon Bedrock to make council documents accessible to residents with learning disabilities, low literacy or cognitive impairment. The generative AI summarizes and simplifies complex text and generates matching images, presenting simplified text alongside images on the page. The council tested the tool on a complex tenancy agreement over 50 pages long and, working with a group of Experts by Experience of a Learning Disability, refined the format based on their feedback. Combined with the council's existing Translate solution, content can be produced in 75 languages. Manually adapting a five-page document into Easy Read format previously cost around £500 and took two weeks; the council can now create an accessible multi-page document for 7-10 pence per page. The council plans to make the tool open source for other councils to use.

Swindon Borough Council· United KingdomAmazon Bedrock
EnergyNatural Language ProcessingGenerative AI

Epilot reduces email processing time by 87% using Amazon Bedrock

Cologne, Germany-based Epilot, which provides an extended-relationship-management (XRM) platform for energy companies, built an AI email-summarization feature on Amazon Bedrock (Anthropic's Claude via serverless AWS Lambda/SQS architecture) that summarizes long customer email threads for its 170+ energy-sector customers. Epilot generates 55,000 AI email summaries monthly with a negligible failure rate; about 80% of users say the feature simplifies their work, and users save 87% of the time previously spent on email management. Epilot also built a 'suggested actions' feature that auto-updates customer records from email content with a human in the loop, and keeps all processed data within an EU AWS Region using Amazon Bedrock's zero-retention data policy.

Epilot· GermanyAmazon Bedrock · Anthropic Claude · AWS Lambda +1
Real EstateConversational AIGenerative AIDocument Intelligence

Aareon builds AAVA, an AI virtual assistant integrated into its German property-management ERP, using Amazon Bedrock

Aareon, a Germany-headquartered property management software provider, integrated an AI virtual assistant called AAVA into its German ERP solution Wodis Yuneo using Amazon Bedrock. AAVA lets real estate housing company customers query documents, request information through chat, automate processes, and accelerate workflows -- including scheduling appointments between tenants and craftsmen, coding invoices, analyzing images to draft damage reports, and sorting incoming email, with both text and voice support. Aareon uses various LLMs available through Bedrock, including Anthropic's Claude models and Amazon Nova models, testing and selecting models by complexity and price performance for each use case (for example, a higher token-limit model for calculating service charges). The Bedrock deployment runs in the AWS Germany (Frankfurt) Region to help meet GDPR requirements, with customer data not used to train or improve the underlying models. The first version of AAVA was built in 4 weeks and announced to customers within 6 months, developed with support from AWS Partner Reply.

Aareon· GermanyAmazon Bedrock · Amazon Nova · Anthropic Claude
AutomotiveGenerative AIComputer VisionLarge Language Models

Ferrari Advances Generative AI for Customer Personalization and Production Efficiency

Ferrari built a car configurator on AWS using LLMs in Amazon Bedrock and Amazon Personalize, letting customers personalize their vehicle across millions of possible configurations with 3D visualization, which increased sales leads and cut configuration times by 20%. Ferrari also fine-tuned Amazon Titan, Claude 3 and Llama models in Bedrock (combined with Amazon SageMaker JumpStart) on its own documentation to power an after-sales generative AI chatbot that classifies and summarizes customer care tickets, and uses Amazon Lookout for Vision to automate quality inspection and defect detection on the assembly line. Generative AI is also used to run vehicle design simulations and text-to-image prototyping to reduce reliance on physical prototypes.

Ferrari S.p.A.· ItalyAmazon Bedrock · Amazon Personalize · Amazon SageMaker JumpStart +5
HealthcareGenerative AIMachine LearningFraud & Anomaly Detection

Pfizer saves 16,000 hours annually with generative AI search through the PACT initiative

Pfizer and AWS created the Pfizer-Amazon Collaboration Team (PACT) initiative in 2021, pursuing 14 rapid-prototyping projects applying AWS analytics, ML and generative AI to laboratory, clinical manufacturing and supply chain challenges. Using Amazon Kendra and, later, Anthropic's Claude 2.1 via Amazon Bedrock (accessed through an internal voice/chatbot platform called Vox), Pfizer estimates scientists save up to 16,000 hours of document search time annually and cut related infrastructure costs by 55%. A separate PACT prototype uses Amazon SageMaker, Amazon Lookout for Equipment and Amazon Lookout for Metrics to detect anomalies in Pfizer's continuous manufacturing (PCMM) process. Five of the initial 14 PACT projects have moved into production.

Pfizer· United StatesAmazon Kendra · Amazon Bedrock · Amazon SageMaker +2
InsuranceGenerative AIMachine LearningPredictive Analytics

Building a central data, analytics, and AI solution using AWS with Generali

Insurance and asset management group Generali built a central data, analytics and AI solution on AWS to standardize AI adoption across its more than 40 operating entities, using Amazon Redshift for the central data warehouse, AWS Glue for data-quality and transformation pipelines, Amazon SageMaker AI to automate claim settlement and predictive payout modeling, and Amazon Bedrock to power a generative AI customer-assistance agent providing instant responses. The company developed 16 flagship AI use cases spanning pricing, underwriting, claims processing and operations, deployable across operating entities via a centralized Global AI engine, while complying with GDPR and internal governance policies.

GeneraliAmazon Bedrock · Amazon SageMaker AI · Amazon Redshift +1
E-commerceMachine LearningGenerative AI

Foxintelligence Enhances Ecommerce Insight Using AWS and Generative AI

Foxintelligence by NielsenIQ, the largest ecommerce measurement and consumer analytics company in Europe with around 5 million active online buyers tracked, uses Amazon SageMaker to build, train, and deploy its machine learning models and is exploring Amazon Bedrock to access foundation models, fine-tune them, and do prompt engineering, reducing time to market for generative AI innovation. As a company handling consumer personal data, Foxintelligence relies on AWS security features to comply with the EU's General Data Protection Regulation (GDPR) and other regional regulations as it expands globally, with advice from the AWS engineering team on new compliance features.

FoxintelligenceAmazon SageMaker · Amazon Bedrock
Government & Public SectorGenerative AINatural Language Processing

Contra Costa County District Attorney's Office Makes Unbiased Charging Decisions with ScaleCapacity Generative AI Solution on AWS

The Contra Costa County District Attorney's Office worked with AWS Partner ScaleCapacity to build a Race-Blind Charging solution to comply with California's AB 2778 mandate. The solution uses Amazon Bedrock and Amazon Textract to automatically redact race, ethnicity and other identifying details from police reports and case documents before charging decisions are made, with Amazon S3, DynamoDB, Cognito and SES supporting document storage, metadata and user access. The office processes around 17,000 cases annually, achieved compliance in six months, and can test and deploy new redaction rule changes in under a week.

Contra Costa County District Attorney's Office· United StatesAmazon Bedrock · Amazon Textract · Amazon S3 +3
HealthcareGenerative AILarge Language ModelsDocument Intelligence

Myriad Genetics speeds document processing with AWS GenAI Intelligent Document Processing Accelerator

Myriad Genetics partnered with the AWS Generative AI Innovation Center to replace an Amazon Textract/Comprehend pipeline with Amazon Bedrock foundation models (Nova Pro for classification, Nova Premier for extraction) using the open-source GenAI IDP Accelerator. Document classification accuracy rose from 94% to 98%, classification cost per page fell 77% (3.1 cents to 0.7 cents), and classification time fell 80% (8.5 minutes to 1.5 minutes per document). Automated key information extraction reached 90% accuracy matching the manual baseline, with a projected $132K in annual savings and 300 hours saved monthly across 9,000 prior authorizations in the Women's Health unit alone.

Myriad GeneticsAmazon Bedrock · Amazon Nova Pro · Amazon Nova Premier +2
PharmaceuticalsGenerative AILarge Language ModelsAgentic AIConversational AI

Novo Nordisk Scales to 2,500+ Use Cases with Secure Generative AI Using Amazon Bedrock

Novo Nordisk built a self-service generative AI platform on AWS, using Amazon Bedrock's foundation models, so employees could build and customize chatbots for nonregulated business use cases without needing to develop applications or maintain infrastructure themselves. The company worked with AWS Partner Cloud2 Oy (previously KeyCore) to validate the architecture for security and scalability. More than 25,000 Novo Nordisk employees have used the platform to create chatbots for over 2,500 unique use cases, such as retrieving information, drafting documents, or acting as a virtual colleague or critic. The company's general-purpose chatbot is used by more than 1,000 employees and processes over 26,000 prompts a month; its largest use case was trained on 140,000 documents. Each use case costs around $10 per month to run on AWS, using serverless services including Amazon DynamoDB and AWS Lambda. Building a chatbot now takes days rather than months, and some tasks that took a full day can be completed in as little as 10 minutes.

Novo Nordisk· DenmarkAmazon Bedrock · AWS Lambda · Amazon DynamoDB
PharmaceuticalsAgentic AIGenerative AIRetrieval-Augmented GenerationNatural Language Processing

Using Amazon Bedrock Agents to Accelerate Decisions Across Drug Development at AstraZeneca

AstraZeneca built Development Assistant, a multi-agent AI tool using Amazon Bedrock Agents, that lets clinical, regulatory, safety and quality teams ask natural language questions and get insights from structured and unstructured data in seconds via text-to-SQL generation and retrieval-augmented generation. A supervisor agent routes queries to specialized subagents (terminology, clinical, regulatory, database). Built on AstraZeneca's Drug Development Data Platform (3DP), the tool moved from concept to production in 6 months, including cybersecurity and AI governance checks, and is scaling to over 1,000 users.

AstraZenecaAmazon Bedrock Agents · Amazon Bedrock · Text-to-SQL
Human ResourcesLarge Language ModelsDocument IntelligenceRecommendation & Personalization

Workday Accelerates Generative AI / ML Product Development Using Amazon SageMaker

Workday uses Amazon SageMaker to let engineering teams build, train and deploy ML models, including LLMs, across AWS Regions to meet global customers' data-residency requirements. Using Amazon SageMaker Studio, Jumpstart and Ground Truth Plus, Workday piloted a closed-book ML application analyzing job descriptions, invoices and contracts, improving ML inference latency by a factor of five. Workday also received early access to Amazon Bedrock for generative AI prototyping. Head of Workday AI Shane Luke said the company has scaled from a thousand inference requests to tens of millions coming in daily.

WorkdayAmazon SageMaker · Amazon SageMaker Studio · Amazon SageMaker Jumpstart +2
Life SciencesDocument IntelligenceRetrieval-Augmented GenerationAgentic AI

Novartis: Accelerating Drug Development with AI-Powered Clinical Trial Transformation

Novartis partnered with AWS Professional Services and Accenture to modernize their drug development infrastructure and integrate AI across clinical trials, with the goal of reducing trial development cycles by at least six months. The initiative built a GXP-compliant data mesh platform on AWS with Databricks for processing, enabling AI use cases including protocol generation and an intelligent decision system (digital twin). Early results from the patient safety domain showed 72% query speed improvements, 60% storage cost reduction, and 160+ hours of manual work eliminated. The protocol generation use case achieved 83-87% acceleration in producing compliant protocols.

NovartisAmazon Web Services (AWS) · Databricks · Amazon S3 +8