OpenText Core Signature - Steg.ai Integration and Automation

Common Integration Use Cases Between OpenText Core Signature and Steg.ai

1. Signed approval of protected marketing and brand assets

Data flow: Steg.ai to OpenText Core Signature

Steg.ai can classify, tag, and protect approved images, videos, and creative files in a digital asset management environment. Once a brand or legal reviewer confirms the final asset set, OpenText Core Signature can route the approval package for legally binding sign-off. This creates a controlled workflow for marketing, brand, and legal teams before assets are released for campaigns, partner use, or public distribution.

Business value: Faster asset approval, reduced risk of using unapproved content, and a clear audit trail for compliance.

2. Contracted usage rights for licensed media and creative content

Data flow: OpenText Core Signature to Steg.ai

When licensing agreements, model releases, or content usage permissions are signed in OpenText Core Signature, the signed document can be linked back to the related image or media asset in Steg.ai. The asset can then be tagged with usage rights, expiration dates, territory restrictions, or approval status. This helps content teams know exactly which assets are cleared for reuse.

Business value: Better rights management, fewer compliance violations, and easier reuse of approved assets across channels.

3. Secure customer onboarding with signed identity and image-based document classification

Data flow: Bi-directional

In onboarding workflows, customers may submit identity documents, profile photos, or supporting images that Steg.ai can classify and tag for document type, quality, and completeness. OpenText Core Signature can then be used to capture legally binding signatures on onboarding forms, consent documents, or service agreements. The combined workflow reduces manual review and speeds up onboarding.

Business value: Shorter onboarding cycle times, improved document accuracy, and better customer experience.

4. HR employee file completion with signed forms and tagged supporting images

Data flow: Bi-directional

HR teams often manage signed employment agreements, policy acknowledgements, and benefit forms alongside supporting images such as ID cards, certifications, or profile photos. OpenText Core Signature handles the signature process, while Steg.ai classifies and tags the uploaded visual documents for employee records. This makes employee files easier to search, audit, and maintain.

Business value: More complete employee records, less manual filing, and improved HR compliance.

5. Legal review and approval of visual evidence packages

Data flow: Steg.ai to OpenText Core Signature

For legal, risk, or claims teams, Steg.ai can tag and organize visual evidence such as photos, scans, or incident images by case number, location, or content type. OpenText Core Signature can then be used to obtain formal sign-off from investigators, managers, or legal counsel on the evidence package or settlement documentation. This supports controlled approval of case materials before escalation or closure.

Business value: Stronger governance, faster case closure, and improved traceability of approved evidence.

6. Signed vendor and partner agreements tied to protected asset libraries

Data flow: OpenText Core Signature to Steg.ai

Procurement and partner management teams can use OpenText Core Signature to execute vendor agreements, co-branding terms, or content distribution contracts. Once signed, Steg.ai can tag the associated asset library with the approved partner name, contract status, and permitted usage rules. This ensures that only authorized teams can access and use the correct assets for each partner relationship.

Business value: Better partner governance, reduced misuse of shared assets, and easier enforcement of contract terms.

7. Compliance-ready content release workflow for regulated industries

Data flow: Bi-directional

In regulated industries such as healthcare, financial services, or insurance, visual content and supporting documents often require both content classification and formal approval. Steg.ai can identify and tag sensitive or regulated imagery, while OpenText Core Signature captures approvals from compliance, legal, and business owners before release. The result is a controlled workflow for publishing customer-facing or internal materials.

Business value: Improved compliance control, reduced approval bottlenecks, and lower risk of unauthorized content release.