Evidence: Low40/100

Autodesk: Agentic AI assistant with Amazon Bedrock and ML insights using Amazon SageMaker

Use case typeAI platformUpdated Jun 13, 2026

Autodesk uses AWS to power an upcoming Autodesk Assistant that enables natural-language interactions across its product suite. The company also uses Amazon SageMaker for development, training, and deployment of machine learning-powered insights and recommendations. The article says Autodesk is building secure generative AI applications with Amazon Bedrock guardrails and other AWS services.

Organization
Autodesk
Industry
Manufacturing
Location
United States
Published
April 2026

Reported outcomes

Strategic outcomes

New product / capabilityLaunched natural-language product assistantNew product / capabilityBuilt ML-powered insights and recommendationsRisk & complianceBuilt secure generative AI applicationsScale & capacityEnabled scalable secure AI workflows
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Autodesk
Provider
AWS
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

  • 1Agentic AI assistant
  • 2Generative AI
  • 3Machine learning operations
  • Reduce manual work in design workflows.
  • Enable natural-language interaction across Autodesk products.
  • Embed security by design into generative AI workflows.
  • Autodesk leverages Amazon Bedrock for generative AI capabilities and guardrails.
  • Autodesk uses Amazon SageMaker at the core of its ML strategy for model development, training, and deployment.
  • The implementation also uses Amazon EKS, Amazon DynamoDB, Amazon OpenSearch Service, and Apache Iceberg to support the platform.
Technologies
Amazon BedrockAmazon SageMakerAmazon EKSAmazon DynamoDBAmazon OpenSearch ServiceApache Iceberg
  • The article says the approach reduces manual work from hours to minutes.
  • It supports scalable, secure AI-powered workflows for architects, engineers, and designers.
  • Autodesk reports lower data processing costs and improved flexibility for its data science teams.
Architecture

Autodesk said it uses Amazon Bedrock, Amazon EKS, Amazon DynamoDB, Amazon OpenSearch Service, Apache Iceberg, and Amazon SageMaker to power its Autodesk Assistant and ML workflows. Bedrock provides generative AI and guardrails, while SageMaker supports the development, training, and deployment of ML insights and recommendations.

Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Technical implementation details available
Type: Case StudyPublished: Apr 29, 2026Publisher: AWS Solutions Case StudyEvidence: PrimaryConfidence: High
Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

Explore related AI use cases
Customer evidence
More from Autodesk
Provider evidence
AWS provider pageAWS ranked cases
Market context
Manufacturing AI use casesManufacturing industry insightsUnited States country insights
AI patterns
Agent
Browse the catalog
All AI use casesAI use-case typesAI platform use cases

Was this useful?

Community

Comments

No published comments yet.

Similar cases