ChatGPT - OpenText Lens - Data Visibility Integration and Automation

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

1. AI-Assisted Sensitive Data Triage and Classification

Data flow: OpenText Lens - Data Visibility ? ChatGPT

OpenText Lens identifies unstructured content that may contain sensitive, regulated, or obsolete information across file shares, collaboration platforms, and repositories. ChatGPT can then summarize the findings for business and compliance teams, explain why specific content patterns are risky, and draft recommended next steps for remediation.

• Accelerates review of large data inventories
• Helps compliance teams prioritize high-risk repositories
• Produces plain-language summaries for non-technical stakeholders

2. Remediation Playbook Generation for Data Cleanup Programs

Data flow: OpenText Lens - Data Visibility ? ChatGPT

When Lens detects redundant, obsolete, or trivial content, ChatGPT can generate repository-specific remediation playbooks for records managers, legal teams, and business owners. These playbooks can include suggested retention actions, deletion criteria, escalation paths, and communication templates.

• Standardizes cleanup procedures across departments
• Reduces manual effort in drafting remediation guidance
• Improves consistency in governance execution

3. Migration Readiness Assessment and Executive Reporting

Data flow: OpenText Lens - Data Visibility ? ChatGPT

Before a migration to a new content platform or cloud environment, Lens can inventory unstructured data and identify what should be migrated, archived, or disposed of. ChatGPT can turn those findings into executive-ready summaries, migration risk narratives, and stakeholder reports that highlight volume, sensitivity, and complexity by repository.

• Supports migration planning with clearer scope definition
• Helps IT and business leaders understand data risk before cutover
• Improves decision-making on what to move versus retire

4. Compliance Evidence Summarization for Audits and Assessments

Data flow: OpenText Lens - Data Visibility ? ChatGPT

Lens can surface where regulated content resides and how much of it exists across repositories. ChatGPT can convert those outputs into audit narratives, control summaries, and evidence packs that explain data discovery results in a format suitable for internal audit, privacy, or regulatory review.

• Speeds preparation of audit documentation
• Reduces dependency on manual report writing
• Improves clarity for legal, risk, and compliance reviewers

5. Business Owner Review Assistant for Content Disposition

Data flow: OpenText Lens - Data Visibility ? ChatGPT ? business users

Lens can identify content sets that require business owner review, such as shared folders with mixed relevance, duplicate project files, or legacy departmental archives. ChatGPT can generate review prompts, decision trees, and concise file summaries to help owners quickly decide whether content should be retained, archived, or deleted.

• Reduces review fatigue for business stakeholders
• Improves turnaround time for disposition decisions
• Supports scalable governance across large content estates

6. Policy and Retention Guidance Drafting

Data flow: OpenText Lens - Data Visibility ? ChatGPT

Lens findings can reveal content categories that are over-retained, duplicated, or outside policy. ChatGPT can use those insights to draft or refine retention guidance, handling instructions, and user-facing policy summaries tailored to specific departments such as HR, finance, or procurement.

• Aligns policy updates with actual data conditions
• Makes retention guidance easier for employees to understand
• Supports more practical governance policy enforcement

7. Data Risk Briefings for Leadership and Cross-Functional Teams

Data flow: OpenText Lens - Data Visibility ? ChatGPT

Lens can provide the underlying data visibility metrics, such as repository counts, sensitive content hotspots, and obsolete data volumes. ChatGPT can transform those metrics into concise leadership briefings, meeting notes, and action plans for IT, legal, security, and operations teams.

• Improves communication between technical and business teams
• Turns complex discovery results into actionable summaries
• Supports faster alignment on remediation priorities

8. Interactive Data Discovery Copilot for Governance Teams

Data flow: Bi-directional

Governance analysts can query ChatGPT in natural language to ask questions about Lens discovery results, such as where sensitive content is concentrated, which repositories contain the most duplicates, or which business units have the highest cleanup burden. ChatGPT can then help interpret Lens outputs and suggest follow-up analysis or reporting views.

• Improves accessibility of data visibility insights
• Reduces reliance on specialized reporting skills
• Enables faster exploration of unstructured data risk patterns