Summary
- Mobileye has deployed an AI support agent built on Amazon Bedrock AgentCore
- The agent automated repetitive status-check tasks that made up 66% of tickets, cutting response time by 90%
- The agent uses Anthropic's Claude models and MCP to access internal system APIs in real time
Mobileye announced it has introduced an AI support agent based on Amazon Bedrock AgentCore to resolve support bottlenecks in its data collection and processing pipeline.
Repetitive tasks were the bottleneck
Mobileye's data collection pipeline processes thousands of driving log sessions every day, and 66% of support tickets were simple status-check requests that required engineers to manually verify information across multiple backend systems with up to 15 clicks. Scripts or rule-based automation reportedly struggled to handle the wide variety of real-world inquiry patterns.
Results after switching to an AI agent
Mobileye ran a proof of concept targeting 95% accuracy and response times under two minutes before moving to full deployment. The agent uses Anthropic's Claude models via an internal LLM gateway, and leverages the Model Context Protocol (MCP) to access driving data processing platform APIs in real time, handling session status checks, log lookups, and diagnostic data collection.
As a result, response time was cut by 90%, and the accuracy target was exceeded. Mobileye described the outcome as building an "agent capable of understanding context and adapting to diverse inquiry patterns."
Following these results, Mobileye reportedly expanded AgentCore into a self-service platform that allows multiple internal teams to deploy their own AI agents.
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