AutomociónOperaciones

Cómo Cox Automotive Lanzó 17 Soluciones de Agentes de IA con Amazon Bedrock AgentCore

Cox Automotive desplegó 17 soluciones de agentes de IA en producción con Amazon Bedrock AgentCore, reduciendo el tiempo de elaboración de presupuestos de 48 horas a 30 minutos, logrando 3 veces más tasas de respuesta de consumidores y proyectando 17.000 horas ahorradas.

Impacto

17 (from 57 evaluated)

Soluciones de IA en Producción

48hrs to 30min

Tiempo de Elaboración de Presupuestos

3x higher

Tasas de Respuesta de Consumidores

17,000

Horas Ahorradas Proyectadas

Desafío

Sin entorno estandarizado para la ejecución de agentes de IA. Visibilidad limitada sobre el razonamiento multi-agente. Modelos de seguridad no probados para agentes que acceden a datos confidenciales del sector automovilístico.

Solución

Desplegó Amazon Bedrock AgentCore con el Strands Agents Framework, Knowledge Bases para RAG y Guardrails, permitiendo pasar del concepto a producción en días.

Herramientas y tecnologías

Lo que dicen los líderes

AgentCore creó un hiperpropulsor de oportunidades de transformación.

Marianne Johnson, EVP y Directora de Producto, Cox Automotive
Entiende todo el contexto.

Regístrate para leer casos de estudio completos, acceder a métricas detalladas y recibir todos los reportes.

Historia completa

Cox Automotive carecía de un entorno estandarizado para la ejecución de agentes de IA. La visibilidad sobre el razonamiento multi-agente era limitada, y los modelos de seguridad para agentes que acceden a datos confidenciales del sector automovilístico no estaban probados, lo que frenaba el paso de los proyectos piloto a la producción.

La empresa desplegó Amazon Bedrock AgentCore junto con el Strands Agents Framework, Knowledge Bases para RAG y Guardrails, lo que permitió llevar conceptos a producción en días. De 57 casos de uso evaluados, 17 pasaron a producción con esta infraestructura unificada.

Los resultados fueron inmediatos: el tiempo de elaboración de presupuestos pasó de 48 horas a 30 minutos, las tasas de respuesta de los consumidores se triplicaron y se proyecta un ahorro de 17.000 horas en toda la organización.

Casos similares

RG
Renault Group
€1 million
value recovered in first 3 months

Renault Group, a global automaker with 98,000 employees across 36 countries, deployed the Celonis Process Intelligence Platform to eliminate inefficiencies in its Procure-to-Pay operations. By combining rapid wins in Accounts Payable with a DMAIC-driven transformation strategy, the company recovered €1 million within three months and €15 million in the first year.

ManufacturingAutomotiveCPCelonis Process CopilotCCelonis
P
Postman
Up to 1,150/year
developer hours saved

Postman selected Claude Opus 4.6 as the default model for Agent Mode, saving developers up to 1,150 hours per year and nearly $1M annually for a 10-person team in API development automation.

TechnologyCAClaude APIABAmazon Bedrock
N
N26
70%
task automation in targeted processes

N26 deployed Claude via AWS Bedrock across 15+ internal use cases in its first year, automating up to 70% of tasks in targeted customer service processes and cutting manual processing by 50% across 24 European markets. New AI implementations now go from ideation to evaluation in 1–2 weeks.

Financial ServicesABAmazon BedrockCEClaude Enterprise
V
Vectorize.io
~2 hours
time to deploy ai solution for new client

Vectorize.io is a US-based software company that builds agentic and generative AI infrastructure, helping organizations in law, insurance, and finance make vast volumes of unstructured data usable by large language models. By integrating Elastic’s hybrid search and Elastic Cloud Serverless with Amazon Bedrock, Vectorize deploys production-ready AI solutions for clients in hours rather than weeks. One client whose developer community grew by a million users in a year relied on Vectorize’s real-time learning agent—built on Elasticsearch—to answer support queries and instantly index new answers for future use.

ABAmazon BedrockEElasticsearch
NR
Nomura Research Institute
50%
document review time reduction

Nomura Research Institute deployed Claude 3.5 Sonnet via Amazon Bedrock to automate complex Japanese document analysis, cutting review times by 50% for clients in financial, manufacturing, and distribution sectors.

Professional ServicesABAmazon BedrockC3Claude 3.5 Sonnet
TR
Thomson Reuters
3,000+
subject matter experts' knowledge delivered via ai

Thomson Reuters integrated Claude via Amazon Bedrock into its AI platform, CoCounsel, to make the expertise of 3,000+ subject matter experts and 150 years of authoritative content accessible to legal and tax professionals. The solution combines Retrieval-Augmented Generation (RAG) architecture with multi-model deployment to deliver comprehensive, accurate professional analysis. Early adopters report dramatic efficiency gains, with some estimating task time cut in half or more.

Professional ServicesC3Claude 3 HaikuRGRetrieval-Augmented Generation (RAG)
P
Pinterest
17% YoY
revenue growth

Pinterest built an AI-powered discovery engine on AWS processing 18TB daily, delivering 10 million AI recommendations per second across 10,000+ GPU instances, driving 17% revenue growth and 70% AI-driven discovery.

TechnologyAEAmazon EKSASAmazon SageMaker
P
Petrobras
$120M
tax savings identified

Petrobras applied generative AI and intelligent automation to its tax department, feeding 150 pages of Brazilian tax regulations and three months of financial data into a model built on Automation Anywhere, Amazon Bedrock, and Amazon SageMaker. In three weeks, the system identified $120 million in tax savings and filed taxes within three days—the first time in 15 years the team avoided weekend work during tax season. The company projects over $1 billion in total savings by year-end.

EnergyASAmazon SageMakerABAmazon Bedrock