# AWS builds engineering assistant for part substitution with Nova and AgentCore

Digest AI · Enterprise & Industry · published 2026-11-02T17:01:16Z

Canonical: https://digestai.news/story/aws-builds-engineering-assistant-for-part-substitution-with-nova-and-a

## Summary

AWS has detailed how its **Amazon Nova Multimodal Embeddings** and **Amazon Bedrock AgentCore** can automate evidence assembly for aerospace engineers evaluating part substitutions. The system uses three specialist agents—**Catalog**, **Evaluation**, and **Knowledge**—to retrieve specs, score candidates against tolerance rules, and compare part photos via visual similarity. A **Claude Haiku 5.5** planner routes queries, while **Claude Sonnet 5.5** and **Claude Opus 5.5** execute tools and synthesize results, respectively. The assistant drafts justification memos and audit logs but never approves substitutions, ensuring human oversight aligns with **AS9100** standards.

The solution embeds datasheets, charts, and photos into a single semantic space using **Amazon Nova Multimodal Embeddings**, enabling queries like ‘torque curve for the 0.06 Nms wheel’ to retrieve matching visual content. For image-based searches, it uses **Amazon S3 Vectors** alongside **AgentCore Gateway** for live web data checks. AWS highlights two retrieval paths: one for text/document queries via **Bedrock Managed Knowledge Bases** and another for image uploads. The system also logs silent fallbacks to avoid undetected errors. Deployment requires **AWS GovCloud (US)** for aerospace compliance and supports **Strands Agents SDK** for customization. The architecture is modular, allowing deterministic scoring tools to integrate with PLM or ERP systems without agents.

## Key points

- Three agents—Catalog, Evaluation, Knowledge—use **Amazon Nova** for multimodal retrieval and **Bedrock AgentCore** for orchestration, with **Claude Haiku 5.5**, **Sonnet 5.5**, and **Opus 5.5** handling routing, execution, and synthesis
- Visual similarity scoring compares part photos via **Amazon S3 Vectors**, while **AgentCore Gateway** fetches live web data for lifecycle claims, with explicit fallback logging
- Deterministic Python code scores substitutions against tolerance rules, and the system drafts memos/audit logs but never approves substitutions, adhering to **AS9100** requirements

## Why it matters

This combines **Amazon Nova’s** multimodal retrieval with **AgentCore’s** agent orchestration to automate high-stakes engineering decisions, reducing manual cross-referencing for part substitutions while maintaining human oversight. The deterministic scoring and audit trails address aerospace compliance needs, and the modular design lets other industries adapt it for similar workflows.

## Sources

1. [Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore](https://aws.amazon.com/blogs/machine-learning/agentic-engineering-intelligence-with-amazon-nova-multimodal-embeddings-and-amazon-bedrock-agentcore) (AWS Machine Learning Blog, 2026-11-02, primary source)

Part of the developing story: [AI on Bedrock From Diagnosis to Decision](https://digestai.news/thread/cornerstone-ondemand-cuts-database-diagnosis-time-by-78-with-amazon-bedrock) (4 stories)

## Cite

Digest AI, "AWS builds engineering assistant for part substitution with Nova and AgentCore", 2 November 2026, https://digestai.news/story/aws-builds-engineering-assistant-for-part-substitution-with-nova-and-a

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