OpenText Extended ECM - Records Management - Steg.ai Integration and Automation

Common Integration Use Cases Between OpenText Extended ECM - Records Management and Steg.ai

OpenText Extended ECM - Records Management and Steg.ai complement each other by combining formal records governance with AI-driven image recognition, tagging, and content protection. Together, they help organizations classify visual assets more accurately, apply retention controls to regulated content, and improve compliance across document and media workflows.

1. Auto-classify regulated images and assign records metadata

Data flow: Steg.ai to OpenText Extended ECM - Records Management

When teams upload scanned forms, signed contracts, ID documents, or claim images into a content repository, Steg.ai can analyze the image and detect document type, key visual elements, and content category. That classification is then passed to OpenText Extended ECM - Records Management to apply the correct record class, retention schedule, and security policy.

• Reduces manual indexing and misclassification of records
• Improves consistency in retention assignment
• Supports compliance for regulated documents such as patient records, loan files, and government forms

2. Declare image-based business records automatically after AI tagging

Data flow: Steg.ai to OpenText Extended ECM - Records Management

For organizations that manage large volumes of visual content, Steg.ai can identify assets that meet record criteria, such as signed approvals, inspection photos, evidence images, or policy-related graphics. Once tagged, the content can be automatically declared as a formal record in OpenText Extended ECM - Records Management, triggering retention, audit trail, and disposition controls.

• Speeds up records declaration for high-volume image workflows
• Ensures important visual evidence is not left unmanaged in general content stores
• Creates a defensible chain of custody for compliance and legal review

3. Protect sensitive visual content before records archiving

Data flow: OpenText Extended ECM - Records Management to Steg.ai

When OpenText identifies content that must be preserved but also protected, such as medical images, identity documents, or confidential project visuals, it can send the asset to Steg.ai for content protection processing. Steg.ai can apply image recognition rules to detect sensitive elements and support tagging or protection actions before the content is archived as a record.

• Helps prevent unauthorized reuse of sensitive images
• Supports privacy and confidentiality requirements
• Improves governance for content that must be retained but restricted

4. Apply retention policies based on AI-detected content categories

Data flow: Bi-directional

Steg.ai can classify images into business categories such as HR, legal, claims, facilities, or marketing. OpenText Extended ECM - Records Management can then use those categories to assign the correct retention period and disposition rule. In return, OpenText can send policy updates or record class changes back to Steg.ai so future tagging aligns with current governance standards.

• Aligns content classification with records policy
• Reduces policy drift across departments
• Improves retention accuracy for mixed content repositories

5. Support legal hold and eDiscovery for image-heavy evidence sets

Data flow: OpenText Extended ECM - Records Management to Steg.ai

During litigation, investigations, or audit requests, OpenText can identify records under legal hold and send associated images to Steg.ai for enhanced tagging and recognition. This helps legal and compliance teams quickly locate relevant visual evidence, such as site photos, incident images, or signed approvals, without manually reviewing large archives.

• Accelerates evidence discovery
• Improves searchability of image-based records
• Reduces risk of accidental deletion or premature disposition

6. Enrich digital asset governance for marketing and brand archives

Data flow: Steg.ai to OpenText Extended ECM - Records Management

Marketing and communications teams often store approved campaign images, brand assets, and event photography that must be retained for audit, rights management, or historical reference. Steg.ai can tag these assets with campaign, product, or usage metadata, and OpenText can preserve them as controlled records with retention and access rules.

• Creates a governed archive of approved brand assets
• Helps track usage and approval history
• Supports auditability for regulated marketing content

7. Improve records quality for scanned legacy archives

Data flow: Steg.ai to OpenText Extended ECM - Records Management

When organizations digitize paper archives, scanned images often arrive with incomplete or inconsistent metadata. Steg.ai can analyze the scanned content to identify document type, stamps, signatures, forms, or visual cues, then pass enriched metadata to OpenText Extended ECM - Records Management for more accurate filing, retention, and retrieval.

• Modernizes legacy archive migration
• Improves search and retrieval for scanned records
• Reduces manual rework during digitization projects

Together, OpenText Extended ECM - Records Management and Steg.ai create a stronger governance model for visual and image-based content, combining AI-assisted classification with formal records control to improve compliance, reduce manual effort, and strengthen enterprise information management.