IntraLLM Templates / Library / AI-Powered Data Classification
AI-Powered Data Classification

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Automatically organizes and categorizes your enterprise data efficiently.

Identify, organise, and protect sensitive information at scale with intelligent classification across documents, images, and databases.
Automation, Banking, Construction, Education, Digital Marketing, Engineering, Insurance, Retail

Classify Information Automatically

Use Large Language Models and multimodal AI to assess the content and sensitivity of files containing text and images. Information can be classified in bulk according to your organisation’s policies and predefined rules.

Apply Consistent Data Labels

Automatically assign classification labels or create new database attributes for each information object. This provides a consistent and structured approach to managing sensitive, confidential, and business-critical data.

Strengthen Information Protection

Integrate classification results with connected document management systems to support access controls, retention policies, compliance processes, and secure information handling across the organisation.

Identify, classify, and protect information at scale using AI powered data classification.

Large Language Models and Large Multi Models are trained to assess the sensitivity of information in objects containing text and images. LLM can classify these objects on mass based on rules. This can be achieved by either labelling the classification to these objects or creating a new attribute (or column) in the Database.

Any document management system associated to this database can then make use of this classification.

Use Cases

  • Answer policy questions

  • Support employee onboarding

  • Explain leave and workplace processes

  • Surface troubleshooting guidance

  • Answer common service questions

  • Direct users to the correct process

  • Find standard operating procedures

  • Support repeatable workflows

  • Summarise internal instructions

  • Locate current policies

  • Explain approved procedures

  • Improve access to controlled information