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# How Mobileye transformed support operations using Amazon Bedrock AgentCore
**AI Products** · Aug 6, 2026 · 4 min read
Source: AWS ML Blog — https://aws.amazon.com/blogs/machine-learning/how-mobileye-transformed-support-operations-using-amazon-bedrock-agentcore/
### The Gist

Mobileye implemented an agentic AI support solution using Amazon Bedrock AgentCore to resolve scaling bottlenecks. This demonstrates how enterprises can bridge on-premises legacy systems with cloud-based AI while maintaining strict security and governance.

### Why It Matters

Prioritize hybrid architectures that allow cloud agents to securely interact with on-prem data silos.

### Market Impact

The industry is shifting from passive RAG chatbots to autonomous agentic workflows capable of executing tasks.

- Prioritize hybrid architectures that allow cloud agents to securely interact with on-prem data silos.
- Focus on governance and security as core features, not afterthoughts, to clear enterprise procurement hurdles.
- Moving beyond simple retrieval to multi-step reasoning (agents) is necessary for complex operational roles like support.- The complexity of managing hybrid-cloud agentic architectures might introduce more operational overhead than the manual processes they replace.
- The 'agentic' label may be marketing hype for what is ultimately just highly sophisticated, multi-step RAG.### ELI5

How Mobileye transformed support operations using Amazon Bedrock AgentCore means teams may need to change how they build and ship AI features right now.

### Deep Dive

{"sections":[{"heading":"What happened","body":"Mobileye implemented an agentic AI support solution using Amazon Bedrock AgentCore to resolve scaling bottlenecks. This demonstrates how enterprises can bridge on-premises legacy systems with cloud-based AI while maintaining strict security and governance."},{"heading":"Why it matters now","body":"Prioritize hybrid architectures that allow cloud agents to securely interact with on-prem data silos."},{"heading":"Who wins, who loses","body":"The industry is shifting from passive RAG chatbots to autonomous agentic workflows capable of executing tasks."},{"heading":"What to watch","body":"Will the future of enterprise AI be dominated by hybrid-cloud models, or will data eventually migrate fully to the cloud?"}]}

### Key Takeaways

- **Execution speed matters now** Prioritize hybrid architectures that allow cloud agents to securely interact with on-prem data silos.
- **Signals beat hype** Track retention, willingness to pay, and repeat usage.
- **Risk is asymmetric** The complexity of managing hybrid-cloud agentic architectures might introduce more operational overhead than the manual processes they replace.


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