OpenText Extended ECM - Content Server - Steg.ai Integration and Automation

Common Integration Use Cases Between OpenText Extended ECM - Content Server and Steg.ai

OpenText Extended ECM - Content Server and Steg.ai complement each other well in enterprises that need both governed content management and intelligent image analysis. OpenText Extended ECM - Content Server provides secure repository, records management, workflow, and metadata control, while Steg.ai adds AI-based image recognition, tagging, and content protection. Together, they improve asset discoverability, compliance, and operational speed across content-heavy business processes.

1. Automated image tagging for governed content repositories

Data flow: OpenText Extended ECM - Content Server to Steg.ai, then Steg.ai back to OpenText Extended ECM - Content Server

When users upload images, scans, or visual assets into OpenText Extended ECM - Content Server, the files can be sent to Steg.ai for AI-based recognition and classification. Steg.ai returns tags such as object type, document category, brand element, or visual attributes, which are then stored as metadata in OpenText Extended ECM - Content Server.

• Improves search accuracy and content retrieval
• Reduces manual indexing effort for content teams
• Supports consistent metadata standards across departments

2. Secure handling of sensitive visual records

Data flow: OpenText Extended ECM - Content Server to Steg.ai, then Steg.ai back to OpenText Extended ECM - Content Server

For regulated industries, images containing confidential information such as IDs, contracts, engineering drawings, or customer records can be analyzed by Steg.ai to detect sensitive elements and apply protection tags or classification labels. OpenText Extended ECM - Content Server then uses those labels to enforce access controls, retention rules, or restricted sharing policies.

• Strengthens governance for sensitive visual content
• Helps prevent unauthorized access or misuse
• Supports compliance with internal security policies

3. Faster intake and classification of scanned documents and forms

Data flow: OpenText Extended ECM - Content Server to Steg.ai, then Steg.ai back to OpenText Extended ECM - Content Server

Organizations that scan paper documents into OpenText Extended ECM - Content Server can route image files to Steg.ai for recognition and classification. Steg.ai can identify document types, extract visual cues, and help assign the correct folder, workflow, or records category in OpenText Extended ECM - Content Server.

• Speeds up mailroom and back-office processing
• Reduces misfiling and manual sorting
• Improves downstream workflow routing and SLA performance

4. Brand asset governance and reuse control

Data flow: Bi-directional

Marketing and communications teams can store approved images, campaign visuals, and brand assets in OpenText Extended ECM - Content Server, while Steg.ai analyzes those assets for logos, product imagery, and visual characteristics. The resulting tags and protection markers help teams locate approved assets quickly and prevent use of outdated or unapproved versions.

• Improves reuse of approved brand content
• Reduces risk of publishing incorrect assets
• Supports centralized control over marketing materials

5. Visual content classification for records management

Data flow: OpenText Extended ECM - Content Server to Steg.ai, then Steg.ai back to OpenText Extended ECM - Content Server

Enterprises often store photos, diagrams, site images, and evidence files that must be retained according to policy. Steg.ai can classify these assets by content type or subject matter, and OpenText Extended ECM - Content Server can use that classification to apply the correct retention schedule, legal hold status, or disposition rule.

• Improves records management accuracy
• Ensures visual content follows the right retention policy
• Reduces compliance risk during audits or legal review

6. Enhanced search and discovery across enterprise content

Data flow: Steg.ai to OpenText Extended ECM - Content Server

Steg.ai-generated tags can be written into OpenText Extended ECM - Content Server metadata fields to make image-based content searchable by business users. This is especially useful for legal, HR, engineering, and marketing teams that need to find content by visual characteristics rather than file names alone.

• Improves user productivity in content search
• Makes image libraries more usable for non-technical users
• Supports cross-functional access to governed content

7. Workflow-driven review of high-risk or unclassified images

Data flow: OpenText Extended ECM - Content Server to Steg.ai, then Steg.ai back to OpenText Extended ECM - Content Server

If Steg.ai detects low-confidence classifications, missing tags, or potentially sensitive visual content, OpenText Extended ECM - Content Server can trigger a review workflow for compliance, legal, or content operations teams. Reviewers can validate the classification before the asset is published, shared, or archived.

• Creates a controlled exception process for uncertain content
• Improves quality of metadata and classification decisions
• Supports governance without slowing down routine processing

Overall, integrating OpenText Extended ECM - Content Server with Steg.ai helps enterprises combine strong content governance with intelligent visual analysis. The result is better classification, stronger protection, faster workflows, and more reliable access to business content across teams.