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CASE STUDY

Designing a Role-Based Insurance Platform

Reimagining policy administration around roles, workflows, and AI collaboration.

Traditional policy administration systems are typically organized around data structures and transactions, not the people performing the work.

This concept redesigns the platform around role-based operational workspaces, where each persona receives a tailored environment optimized for their responsibilities while operating within a unified system architecture.

The result is a platform that supports AI-assisted workflows, operational visibility, and coordinated collaboration across the insurance lifecycle.

Explore the Architecture

The Problem

Most insurance platforms expose the same system structure to every user regardless of their operational role.

While automation exists, it typically focuses on isolated processes rather than improving how operational roles coordinate work across the platform.

As insurance operations scale, these inefficiencies compound, slowing decision-making across the entire organization.

Opportunity

Design a platform organized around operational roles rather than system objects or transactions.

Instead of presenting a generic system interface, the platform introduces a role-based experience architecture where each persona receives:

  • A workspace tailored to their responsibilities
  • Relevant operational dashboards and alerts
  • AI-assisted insights and workflow recommendations
  • Direct access to the actions they perform most frequently


The goal is to create a platform where every role operates within a purpose-built workspace while still sharing a unified system architecture.

System Architecture

The platform introduces a role-based experience architecture layered on top of the core policy administration system.

Dashboard Components

  • Task queues and operational pipelines
  • Alerts and exception monitoring
  • Collaboration activity and shared notes
  • AI agent activity across operational workflows


AI Assistance Layer

  • Identifying missing information or risk indicators
  • Suggesting next steps in operational workflows
  • Recommending pricing or coverage adjustments
  • Summarizing submissions, claims, or policy activity


Primary Actions

  • Each workspace provides direct access to the core actions users perform most frequently within their operational role.

Operational Model

Design principles that organize insurance operations around role-based workspaces and AI-assisted workflows.

Role-Centered Workspaces

Workspaces tailored to operational roles

  • A tailored dashboard
  • Role-specific workflows
  • AI assistance aligned with responsibilities
  • Direct access to common operational actions
Unified Platform Architecture

Workspaces operate within a shared architecture

  • Consistent system behavior
  • Cross-role collaboration
  • Unified workflow visibility
  • Centralized automation and AI services
Operational Visibility

Real-time visibility across the platform

  • What requires attention
  • Where workflows are stalled
  • Which activities AI agents are performing
  • How tasks move across teams
Scalable Platform Design

Scale across additional insurance functions

  • Policy administration
  • Claims processing
  • Billing operations
  • Distribution management

Project Overview

Role

Lead Product Designer (Concept & Experience Architecture)

Scope

AI workflow architecture, submission orchestration model, underwriting experience strategy, and platform design alignment

Team

Collaborated with Product and Engineering to explore AI-driven submission processing and underwriting workflow automation

Timeline

Concept exploration → Fall 2026 product roadmap discussion

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