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Automated Proposal Generation and Digital Client Engagement Platform for Financial Services
  1. case
  2. Automated Proposal Generation and Digital Client Engagement Platform for Financial Services

Automated Proposal Generation and Digital Client Engagement Platform for Financial Services

sphereinc.com
Financial services

Challenges in Manual Proposal Processes and Limited Client Self-Service

The firm faces lengthy proposal preparation times, inconsistent data formats from multiple carriers, siloed information systems, and limited real-time access for clients and stakeholders. This hampers scalability, personalization, and competitiveness in a fast-evolving digital landscape.

About the Client

A boutique wealth management and insurance firm seeking to modernize client proposals, data processing, and stakeholder engagement through automation and digital tools.

Goals for Accelerating Proposals and Enhancing Client Engagement

  • Reduce proposal preparation time by over 40%, enabling faster client onboarding and response times.
  • Achieve a 38% increase in new client acquisitions per advisor by streamlining data processes and improving engagement.
  • Enhance client and stakeholder satisfaction scores by 50% through real-time access to portfolios and self-service tools.
  • Increase market share by approximately 22% by adopting digital-first client interaction platforms.

Core Functional Capabilities for Proposal Automation and Client Engagement

  • AI-powered proposal generator that inputs key client or policy goals, normalizes multi-format carrier data, and delivers tailored recommendations with iterative feedback capabilities.
  • Data processing modules capable of converting varied input formats (spreadsheets, PDFs, XML) into a unified, searchable database structure with rapid retrieval features.
  • A secure, mobile-first digital wallet allowing clients to access portfolio data, policy summaries, notifications, and digital documents in real time with role-based access controls.
  • An AI-based search utility integrated with existing document management systems for instant retrieval, cross-referencing, and reuse of historical proposals and files.

Preferred Technologies for System Architecture and Development

Cloud infrastructure (e.g., AWS or similar cloud platforms)
AI and machine learning components for proposal generation and search functionalities
Secure web and mobile application frameworks for client portals
Data processing and normalization tools supporting multi-format inputs
Indexed search and retrieval systems

Necessary External System Integrations

  • CRM systems such as current and future structured platforms (e.g., SugarCRM, MS Dynamics)
  • Document management systems such as Egnyte or similar storage solutions
  • Carrier data sources and APIs for streamlined data ingestion
  • Notification and messaging services within the client portal
  • Authentication protocols supporting role-based access

Essential Non-Functional System Attributes

  • Scalability to support growing user base and data volume
  • High performance with proposal generation and document retrieval times under 2 seconds
  • Robust security measures including role-based access control, data encryption, and compliance with privacy standards
  • System availability aiming for 99.9% uptime
  • Responsiveness across web and mobile platforms

Projected Business Value and Outcomes from the Initiative

The project is expected to significantly reduce proposal turnaround times by over 40%, increase new client acquisitions by approximately 38%, elevate client satisfaction scores by 50%, and grow market share by 22%. Such enhancements will position the firm as a digital leader in wealth and insurance services, enabling scalable growth while maintaining personalized client experiences.

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