Document Management & Data FlowPurpose
1.2. Aim to automate data consistency, accuracy, regulatory compliance, and document flow to backend core banking systems, simultaneously reducing human interventions.
1.3. Automatedly collate, validate, and export extracted fields for account opening, KYC updates, transaction instructions, or service requests.
1.4. Speed up document processing, accelerate customer onboarding, improve data reliability, and minimize error-prone manual entries.
Trigger Conditions
2.2. Automate arrival of scanned PDFs/images or optical character recognition (OCR) results in monitored folders.
2.3. Automated notification from a customer relationship or loan management platform of a form event.
2.4. Detection via webhook or polling of new data in cloud storage buckets or document repositories.
Platform Variants
• Feature/Setting: Automate webhook trigger for every new submission; set up Google Apps Script to call data extraction and validation functions.
3.2. Microsoft Power Automate
• Feature/Setting: Automate form connectors and AI Builder form processing for data extraction on incoming documents.
3.3. UiPath
• Feature/Setting: Automate Document Understanding and Form Extractor workflow in a banking process for automated validation.
3.4. Kofax TotalAgility
• Feature/Setting: Automate cognitive capture API for form data extraction and business rule validator for regulatory checking.
3.5. ABBYY FlexiCapture
• Feature/Setting: Automate batch processing, data extraction, and client-side validation scripts; configure data export API.
3.6. Docparser
• Feature/Setting: Automate parsing rule creation and webhook-based automated export per processed form.
3.7. Zapier
• Feature/Setting: Automate multi-step workflow triggering on form completions, implement filters for automated validation.
3.8. Adobe Acrobat Services
• Feature/Setting: Use PDF Extract API and Data Validation JavaScript function per extracted field.
3.9. Formstack Documents
• Feature/Setting: Automate document generation, API-driven data extraction flows, and webhook-based data relay.
3.10. AWS Textract
• Feature/Setting: Automate AnalyzeDocument API and Lambda logic to implement customized validation.
3.11. Azure Form Recognizer
• Feature/Setting: Automate pre-trained/read API for data extraction; automate custom verification logic for banking compliance.
3.12. IBM Datacap
• Feature/Setting: Automate OCR, rule engine for inline validation, and RPA handoff to downstream workflows.
3.13. Box
• Feature/Setting: Automate folder monitoring, event triggers, and metadata validation scripts upon file upload.
3.14. DocuSign
• Feature/Setting: Automate webhook envelope completions and automated extraction of form data for further validation.
3.15. Jotform
• Feature/Setting: Automate integration hooks and post-submission API to send extracted fields to validation scripts.
3.16. Gravity Forms
• Feature/Setting: Automate post-processing hooks (gform_after_submission) for data extraction/automated validation.
3.17. Typeform
• Feature/Setting: Automate webhook delivery of responses, script validation, and export to banking systems.
3.18. AirSlate
• Feature/Setting: Automate document workflow steps and Bot-driven field validation in banking automations.
3.19. Nintex
• Feature/Setting: Automate smart forms and flows, extraction controls, and rule-based field validators.
3.20. Smartsheet
• Feature/Setting: Automate form-based sheet entry, automated data parsing with cell validation mechanism.
Benefits
4.2. Automates regulatory and KYC compliance with rule-based validations embedded in document flow.
4.3. Accelerates customer onboarding by automating turnaround time from form submission to core banking update.
4.4. Automates monitoring and audit trails for document data flow across professional services in savings banks.
4.5. Automatable orchestration of data-driven APIs reduces operational risk while improving customer experience.