OpenAI - OpenText Lens - Data Visibility Integration and Automation

Common Integration Use Cases Between OpenAI and OpenText Lens - Data Visibility

1. AI-Assisted Sensitive Data Triage and Classification

Data flow: OpenText Lens - Data Visibility ? OpenAI

OpenText Lens identifies unstructured content across file shares, SharePoint, cloud repositories, and collaboration platforms, then sends sampled content, metadata, or extracted text to OpenAI for deeper classification support. OpenAI can help determine whether documents likely contain personal data, financial records, contracts, intellectual property, or regulated information.

• Speeds up data discovery and classification programs
• Reduces manual review effort for compliance teams
• Improves prioritization of high-risk repositories for remediation

2. Automated Content Summarization for Data Cleanup Projects

Data flow: OpenText Lens - Data Visibility ? OpenAI

When Lens identifies large volumes of unstructured content during cleanup or migration planning, OpenAI can generate concise summaries of documents, folders, or content clusters. This helps business owners quickly understand what the data is before deciding whether to retain, archive, migrate, or delete it.

• Accelerates retention and disposition decisions
• Supports large-scale cleanup of legacy repositories
• Reduces dependency on subject matter experts for first-pass review

3. Risk-Based Prioritization of Obsolete and Redundant Content

Data flow: OpenText Lens - Data Visibility ? OpenAI

Lens can surface content patterns such as duplicate files, stale project folders, and inactive repositories. OpenAI can analyze the extracted text and metadata to help determine business relevance, likely ownership, and whether the content is obsolete, redundant, or still operationally important.

• Improves information lifecycle management
• Helps records and governance teams focus on the highest-value cleanup targets
• Supports defensible deletion and retention decisions

4. Migration Readiness Assessment and Content Mapping

Data flow: OpenText Lens - Data Visibility ? OpenAI

Before migrating content to a new platform, Lens can inventory unstructured data and identify sensitive or complex content sets. OpenAI can then help map content categories to migration rules, such as which documents require special handling, redaction, legal review, or exclusion from migration.

• Reduces migration risk and rework
• Improves planning for cloud or platform modernization programs
• Helps IT and business teams agree on migration scope faster

5. AI-Driven Compliance Review Support

Data flow: OpenText Lens - Data Visibility ? OpenAI

Lens can detect repositories that may contain regulated or sensitive information. OpenAI can assist compliance teams by generating review notes, suggested policy tags, and plain-language explanations of why a repository may require attention. This is especially useful for GDPR, HIPAA, SOX, and internal policy reviews.

• Improves consistency in compliance assessments
• Shortens review cycles for audit preparation
• Creates clearer documentation for governance decisions

6. Business Owner Review Pack Generation

Data flow: OpenText Lens - Data Visibility ? OpenAI

Lens can identify content ownership signals, folder structures, and document themes. OpenAI can turn that information into business-friendly review packs that summarize what each repository contains, who likely owns it, and what action is recommended.

• Makes it easier for business owners to approve retention or deletion
• Reduces back-and-forth between IT, legal, and operations
• Improves accountability in data governance workflows

7. Natural Language Querying of Unstructured Data Inventories

Data flow: Bi-directional

Users can ask OpenAI questions in plain language such as where customer contracts are stored, which repositories contain employee records, or which folders appear inactive. OpenAI translates the request into search and analysis actions against Lens, then returns a summarized answer based on the inventory results.

• Improves accessibility for non-technical stakeholders
• Reduces reliance on specialized search or analytics skills
• Supports faster decision-making during audits, investigations, and migrations

8. Policy-Aware Remediation Recommendations

Data flow: OpenText Lens - Data Visibility ? OpenAI ? governance or workflow tools

Lens identifies content that may violate retention, privacy, or security policies. OpenAI can generate recommended next steps, such as assign to legal, archive, redact, delete, or retain, based on the content type and policy context. These recommendations can then feed ticketing or workflow systems for execution.

• Standardizes remediation actions across teams
• Improves throughput for governance operations
• Creates a practical bridge between discovery and action