In the previous episodes of our document migration series, we pulled files from a local NAS, extracted metadata from folder paths, and pushed both documents and metadata to AWS S3. Now, we're taking a major leap forward with AI-powered enrichment for enterprise content management (ECM).
Thanks to newly integrated AI modules, Fast2 can now fill in missing metadata, extract business-critical information, and automate document understanding — all within your intelligent document processing (IDP) workflow.
Let’s dive into how it works.
Why Use AI in Document Migration and ECM?
When dealing with large volumes of unstructured data and legacy content, manual metadata entry becomes a bottleneck. AI offers a scalable way to:
- Fill in missing properties automatically
- Extract specific data (PII, amounts, dates, decisions)
- Classify documents based on their content
- Trigger automated tagging, redaction, or routing
With Fast2's new AI capabilities for document migration, these tasks can now be handled natively within your ECM modernization strategy.
Step-by-Step: Enriching Documents with AI in Fast2
1. Start with NAS-Pulled Documents
We begin with a batch of documents pulled from a file system (NAS) — the same files used in previous episodes. Their metadata so far has been inferred from folder structures.
We now integrate Fast2’s AI enrichment module, which connects with Mistral, a powerful French LLM (Large Language Model) for automated document processing.
2. Prompt the AI to Fill Missing Metadata
Some documents are missing metadata (e.g., a folder level wasn’t captured). We use Fast2 to:
- Filter out only those documents missing specific data
- Prompt the AI to suggest a value based on available metadata and filename
- Refine the prompt to return only one keyword
Once executed, the AI suggests missing values — and these can be stored as new metadata fields, improving content findability and search indexing.
3. Enrich Based on Document Content
To go further, we enrich documents using the actual file content. By embedding the full document into the AI prompt, we extract:
- PII from ID cards
- Total amounts from invoices
- Dates from commission statements or contracts
- Approval decisions from email threads
- Beneficiaries from claim declarations
Each AI task is tailored to the document type, and only relevant files are processed, ensuring both performance and accuracy in document metadata enrichment.
Results: AI-Driven Metadata, Delivered
Once the AI workflows are executed:
- Documents are enriched with structured metadata
- Missing values are filled accurately, reducing manual effort
- Data like PII or contractual information is extracted and ready for downstream applications
And if the results aren’t perfect? Just tweak the prompt — no need to modify code or logic.
Use Cases: From Smart Classification to Compliance Automation
Fast2 + AI unlocks a wide range of use cases for enterprise document management:
- Build metadata inventories for under-structured archives
- Enrich documents before migrating to cloud platforms (e.g. SharePoint, AWS S3)
- Classify content by type, topic, or legal status
- Automate redactions, annotations, or tagging based on AI insights
- Detect and extract key patterns across massive document sets
Combined with archiving or governance tools, this creates a truly AI-powered ECM and IDP workflow.
Final Thoughts
Fast2’s AI module brings intelligent automation directly into your content migration and enterprise content management workflows. Whether you’re modernizing legacy ECM systems or building cloud-native architectures, AI-powered enrichment ensures your documents are searchable, compliant, and ready for automation.
At Uxopian, we’re committed to integrating cutting-edge technologies to help you overcome the growing complexity of document ecosystems.
🎬 Want to see it in action? Watch the video :
Useful Resources:
💡 Questions or ideas? Leave a comment under the video, and let's discuss the best practices for optimizing your own migrations!