Classify Documents → Train Custom Model → Deploy to Secure Network
Automate the classification and deployment of AI models for sensitive document processing in secure environments, ideal for government contractors and compliance-heavy industries.
Workflow Steps
AWS Textract
Extract and classify document content
Set up AWS Textract to automatically extract text, tables, and forms from uploaded documents. Configure classification rules based on content patterns, security levels, and document types.
AWS SageMaker
Train custom classification model
Use the extracted document data to train a custom machine learning model in SageMaker. Define training parameters for document sensitivity levels and classification accuracy requirements.
AWS Lambda
Create deployment automation function
Build a Lambda function that automatically packages the trained model and deploys it to designated secure network endpoints when accuracy thresholds are met.
Microsoft Azure Active Directory
Manage secure access and permissions
Configure Azure AD to control access to the deployed AI model, ensuring only authorized personnel can access classified document processing capabilities with proper authentication.
Workflow Flow
Step 1
AWS Textract
Extract and classify document content
Step 2
AWS SageMaker
Train custom classification model
Step 3
AWS Lambda
Create deployment automation function
Step 4
Microsoft Azure Active Directory
Manage secure access and permissions
Why This Works
Combines AWS's robust ML infrastructure with Microsoft's enterprise security, creating a pipeline that maintains strict access controls while automating sensitive document workflows.
Best For
Government contractors and enterprises processing classified or sensitive documents
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