What challenges did Cox Automotive face before AI implementation?

Need to automate and scale AI agent workflows across diverse automotive industry touchpoints efficiently and securely. Ensuring operational reliability and security for AI agents performing autonomous, hours-long business processes. Achieving enterprise-grade infrastructure to support virtual assistants and agentic marketplace solutions at scale.

What was the impact of the AI solution?

Significant improvements in latency, cost efficiency, and AI accuracy. Enhanced customer satisfaction and streamlined AI deployment across enterprise workflows. Operational reliability and security for autonomous AI agents deployed in production. Foundation laid for future multi-agent systems and expanded AI orchestration.

Source

Scaled productionEvidence: Low40/100

Cox Automotive Scales Agentic AI with Amazon Bedrock AgentCore and Claude

Use case typePredictive maintenanceUpdated Jun 13, 2026

Cox Automotive, a leading automotive services and technology company, deployed 17 AI agent solutions using Amazon Bedrock AgentCore and Anthropic Claude model to automate and scale AI workflows across customer experience, dealer operations, and vehicle discovery/buying. The company shifted from 'Data-First, AI-Enabled' to 'AI-First, Data Differentiated', significantly improving latency, cost, accuracy, and customer satisfaction with autonomous AI agents. Amazon Bedrock AgentCore provided secure, scalable runtime, identity management, observability, and enterprise-grade features that enabled production deployment of long-running AI agents handling complex business processes. Use cases include virtual assistants improving dealer experience and an agentic marketplace, with future plans for multi-agent systems and broader orchestration capabilities.

Organization: Cox Automotive
Industry: Automotive
Location: United States
Published: November 2025

Reported outcomes

Strategic outcomes

Customer experience & trustImproved customer satisfaction with AI agentsRisk & complianceEnabled secure production AI agent deploymentNew product / capabilityBuilt enterprise-grade agentic AI workflowsInnovation & cultureShifted to an AI-first operating model

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Cox Automotive
Provider: AWS
Maturity: Scaled Production
Linked source: AWS Machine Learning Blog

Achieving enterprise-grade infrastructure to support virtual assistants and agentic marketplace solutions at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

1AI Agents
2Agentic AI
3Virtual Assistants

Need to automate and scale AI agent workflows across diverse automotive industry touchpoints efficiently and securely.
Ensuring operational reliability and security for AI agents performing autonomous, hours-long business processes.
Achieving enterprise-grade infrastructure to support virtual assistants and agentic marketplace solutions at scale.

Deployed Amazon Bedrock AgentCore to provide runtime, security, identity, gateway, and observability for autonomous AI agents.
Used Anthropic Claude model for high-performance AI agent capabilities with extended focus on long-running tasks and factual accuracy.
Integrated multiple AI agent solutions (17 proofs of concept in production) focusing on customer experience, dealer operations, and vehicle discovery.
Planned expansion into multi-agent collaboration with advanced agent orchestration capabilities supported by AgentCore A2A protocol.

Technologies

Amazon Bedrock AgentCore Anthropic Claude

Significant improvements in latency, cost efficiency, and AI accuracy.
Enhanced customer satisfaction and streamlined AI deployment across enterprise workflows.
Operational reliability and security for autonomous AI agents deployed in production.
Foundation laid for future multi-agent systems and expanded AI orchestration.

Architecture

The platform uses Amazon Bedrock AgentCore suite including Runtime, Memory, Identity, Gateway, Code Interpreter, Browser Tool, and Observability services. It integrates Anthropic Claude for AI intelligence to run long, complex workflows autonomously with enterprise-grade security, session isolation, and scaling. AgentCore Gateway layers semantic routing to connect agents with REST APIs and Lambda functions for enterprise integration.

Sources & evidence1

Evidence: Low40/100Evidence strength