Azure AI Document Intelligence - Tenovos Integration and Automation

Common Integration Use Cases Between Azure AI Document Intelligence and Tenovos

1. Auto-ingest rights and usage documents into Tenovos asset records

Data flow: Azure AI Document Intelligence ? Tenovos

Extract metadata from licensing agreements, talent releases, usage rights forms, and vendor contracts, then attach the structured data to the related digital assets in Tenovos. This gives marketing and content teams immediate visibility into expiration dates, permitted channels, geographic restrictions, and renewal requirements.

• Reduces manual tagging of rights information
• Prevents use of assets with expired or limited rights
• Improves compliance for global content distribution

2. Convert campaign intake forms into searchable asset briefs

Data flow: Azure AI Document Intelligence ? Tenovos

Extract data from creative briefs, campaign request forms, and production intake documents and push the structured fields into Tenovos as asset context or project metadata. Creative teams can then search and filter assets by campaign, audience, product line, region, or launch date.

• Speeds up content organization at upload time
• Improves discoverability of campaign assets
• Aligns creative production with marketing planning data

3. Enrich asset analytics with document-derived content attributes

Data flow: Azure AI Document Intelligence ? Tenovos

Use Azure AI Document Intelligence to extract structured attributes from supporting documents such as product sheets, packaging specs, or editorial approvals, then store those attributes in Tenovos to support content performance analysis. Teams can compare asset performance by product, message type, region, or approval status.

• Enables more accurate content performance reporting
• Supports analysis of which document-driven attributes correlate with engagement
• Helps marketing optimize future content production

4. Route approved documents to the correct asset collections

Data flow: Azure AI Document Intelligence ? Tenovos

When approval letters, compliance sign-offs, or editorial review documents are processed, Azure AI Document Intelligence can extract approval status and reference IDs and then update Tenovos to place related assets into approved collections or publish-ready folders. This reduces delays in content release workflows.

• Automates approval-based asset organization
• Minimizes manual review and filing effort
• Improves speed to market for campaigns and launches

5. Link invoices and production documents to asset cost tracking

Data flow: Azure AI Document Intelligence ? Tenovos

Extract invoice details, purchase order numbers, vendor names, and production costs from creative services invoices and connect them to the corresponding assets or campaigns in Tenovos. Marketing operations can then evaluate content cost versus performance and identify high-ROI asset types.

• Improves visibility into content production spend
• Supports ROI analysis by asset or campaign
• Helps finance and marketing reconcile content-related costs

6. Use Tenovos asset metadata to prioritize document processing

Data flow: Tenovos ? Azure AI Document Intelligence

Send asset metadata from Tenovos, such as campaign priority, region, product launch date, or content type, to Azure AI Document Intelligence to prioritize which incoming documents should be processed first. This is useful when large volumes of supporting documents arrive for multiple campaigns at once.

• Improves processing efficiency for high-priority work
• Helps operations teams focus on time-sensitive assets
• Supports launch-critical content workflows

7. Create a closed-loop workflow for content compliance and performance review

Data flow: Bi-directional

Azure AI Document Intelligence extracts compliance and approval data from source documents and updates Tenovos. Tenovos then feeds asset performance metrics and usage insights back into downstream reporting or review workflows. This creates a closed loop where teams can see both operational compliance status and content effectiveness in one process.

• Connects governance with performance measurement
• Supports continuous improvement of content operations
• Helps teams retire low-performing or non-compliant assets faster

8. Automate localization and regional content packaging

Data flow: Azure AI Document Intelligence ? Tenovos

Extract language, region, SKU, and regulatory details from localized source documents and apply them to assets in Tenovos. Regional marketing teams can then quickly assemble compliant content packages for specific markets without manually reviewing every supporting document.

• Accelerates localization workflows
• Reduces risk of regional compliance errors
• Improves reuse of approved content across markets