A Proof of Concept was successfully implemented to demonstrate a fully orchestrated end-to-end case lifecycle, covering application intake through policy issuance.
This POC showcases how multiple platform capabilities can be integrated seamlessly to create a unified, automated underwriting journey.
Objective
To design and demonstrate a complete Create → Review → Underwrite → Policy Issuance workflow using our ecosystem platforms, ensuring:
- Structured intake from handwritten applications
- AI-driven data extraction and classification
- Automated workflow decisioning (STP / Non-STP)
- Reviewer and Underwriter intervention points
- Secure document re-submission
- Policy generation with automated communication
Platforms Orchestrated
The journey integrates the following platforms:
- SSD – Application development layer (frontend & backend implementation)
- Alpha – UI orchestration & case interaction layer
- Reels – Workflow execution & STP decisioning
- AIHub – Data extraction, classification & AI augmentation
- BPM – Event-driven workflow signaling & reassignment
- CMS – Email templates & policy document generation
- DMS – Document management
- Trinity – Deployment and environment orchestration
End-to-End Flow Overview
Application Intake (SSD + Alpha + AIHub + Reels)
- Custom components were built using SSD and rendered via Alpha.
- Users can upload handwritten application forms.
- AIHub extracts structured data from the uploaded form.
- Reels executes decision logic to determine STP vs Non-STP.
- A case is created and automatically navigated to.
- Extracted fields are pre-populated for validation.
Alternatively, users can manually initiate case creation, resulting in an empty case object.
Data Completion & Document Upload
- Users can verify or complete application fields.
- A configurable document component enables dynamic control over required document types.
- Uploaded documents are automatically classified using AIHub.
- Digital signature is captured before submission.
This ensures structured intake while maintaining flexibility.
Reviewer Stage
- Reviewer validates application data against uploaded documents.
- Additional documents can be requested if needed.
When requested:
- Email is triggered with CMS content.
- OTP-based secure access is provided.
- User uploads documents via a secure link.
- BPM listens for the upload signal and automatically reassigns the case to the reviewer.
This demonstrates an event-driven reassignment model.
Underwriter Stage
- Underwriter reviews full case context.
- Access to:
- Document repository (DMS)
- Audit logs
- Workflow outputs from Reels
- Additional document requests are supported.
- Upon approval, policy issuance is triggered.
Policy Generation & Communication
- Policy PDF is dynamically generated via CMS with populated case data.
- Customer communication email is generated from CMS templates.
- Final policy and communication are automatically dispatched.
Additional Capabilities Implemented
AI Case Summary & Decision Suggestions
AIHub generates a contextual summary of the entire case along with decision support insights at the beginning of review.
Contextual Case Chatbot
A chatbot is initialized with the complete case object, allowing contextual interactions regarding:
- Customer details
- Uploaded documents
- Case status
Internal Notes
Internal collaboration component enabling reviewers and underwriters to:
- Add structured notes
- Maintain continuity across case handlers
Key Demonstration Outcomes
- Full lifecycle orchestration across multiple platforms
- Strong integration between SSD-built application layers and orchestration engines
- Event-driven workflow transitions
- AI augmentation at intake, classification, summarization, and assistance stages
- Configurable document management
- Secure, customer-friendly document re-submission process
- Automated policy generation
This POC highlights how our platform ecosystem can be composed into a cohesive underwriting journey with minimal manual intervention and strong automation support.
If anyone is interested in reviewing the architecture flow or discussing potential extensions (rule optimization, deeper STP expansion, analytics integration, etc.), happy to connect.