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Automated extraction of investment data from uploaded documents

Purpose

1.1. Automate the extraction of investment data from uploaded financial documents for streamlining client onboarding, portfolio management, and compliance.
1.2. Automator processes parse statements, reports, and contractual documents to gather holdings, transactions, risk metrics, and valuations.
1.3. Data extracted helps automate portfolio analysis, asset allocation, regulatory reporting, and performance reviews for financial planners.

Trigger Conditions

2.1. Automated trigger activates when a client uploads investment documents to a secure portal, shared cloud folder, or sends documents via email or app.
2.2. Scheduled automator polling (e.g., every hour), webhook from document upload, or API event notification for new files initiates extraction process.
2.3. Alternatively, manual override for batch uploads by advisors to automate data intake from legacy sources.

Platform Variants

3.1. Microsoft Power Automate
• Feature/Setting: Use “When a file is created in SharePoint” trigger + AI Builder form processing to automate extraction of structured investment data.
3.2. Zapier
• Feature/Setting: Use “New File in Folder” (Google Drive/Dropbox) trigger + PDF.co or Docparser integration to automate parsing and extraction.
3.3. UiPath
• Feature/Setting: Document Understanding framework to automate OCR extraction, tables, and custom fields from scanned statements or PDFs.
3.4. Make (Integromat)
• Feature/Setting: “Watch Files” in Google Drive/OneDrive + PDF module to automate text extraction from uploaded documents.
3.5. AWS Textract
• API: Use AnalyzeDocument API to automate extraction of tables and key-values from financial PDFs and images.
3.6. Google Cloud Document AI
• API: Document Understanding API automates detection of financial entities in investment documents.
3.7. Adobe PDF Services API
• Feature: “Extract PDF Structure” automates pulling structured investment and transactional data.
3.8. Docparser
• Feature: Custom parsing rules automate investment field extraction from uploaded or emailed documents.
3.9. Azure Form Recognizer
• API: Use “Analyze Layout” to automate recognition and structured extraction of holdings and values.
3.10. Klippa
• API: Document Parser API automates investment data capture from uploaded PDF statements.
3.11. Rossum
• API: Document Review and Data Capture API automates extraction and validation of investment details.
3.12. Hypatos
• API: Deep Learning extraction automator for complex portfolio or statement layouts.
3.13. Abbyy FlexiCapture
• Feature: FlexiLayout Studio automates field extraction from diverse financial document templates.
3.14. Parseur
• Feature: Email parser automates extraction of investment transactions from attached statements.
3.15. Veryfi
• API: OCR & data extraction automates portfolio summary data entry from PDFs/images.
3.16. Kofax Transformation
• Feature: Kofax Transformation Module automates key data capture from complex statements.
3.17. DataRobot
• API: Automated ML post-processing for validation and anomaly detection in extracted data.
3.18. Smartsheet
• Integration: Use Data Shuttle to automate uploading and populating extracted data for analysis.
3.19. IBM Datacap
• Feature: Intelligent Character Recognition automates portfolio document data mapping.
3.20. Dropbox API
• API: Automate file event hooks for instant triggering of data extraction automators on upload.
3.21. Alfresco Process Services
• Feature: Content Rules automate triggering custom scripts for investment record extraction.
3.22. Google Apps Script
• Script: Automate parsing of uploaded Google Drive PDFs and push results into Sheets.

Benefits

4.1. Automation reduces manual data entry errors and accelerates investment profiling.
4.2. Automates population of client records for compliance and audit-readiness.
4.3. Frees advisors’ time, improving client engagement through automated intake.
4.4. Ensures automatable workflows scale with client volumes, supporting growth.
4.5. Automated document triage enhances accuracy, speed, and security of sensitive investment data processing.

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