Executive Summary
This briefing outlines the engineering design for AgentisIQ, built upon a foundational platform called ContextFabric™. This approach establishes an intelligent, auditable, and scalable "system of record" for all insurance processes, moving beyond standalone AI models to create a significant and defensible long-term competitive advantage through full traceability and context-aware automation.
From Product Goals to Engineering Principles
The AgentisIQ PRD defines what to build. This design defines how we will build it, translating key product goals into core architectural principles. Click each goal to see the corresponding principle.
The ContextFabric™ Platform
ContextFabric™ is the foundational layer powering all AgentisIQ applications and AI agents. It is a dynamic system designed to manage the full lifecycle of enterprise context. Click on any component in the diagram below to explore its core capabilities.
Enterprise Knowledge
Processes, Rules, Patterns
3rd Party Data
Risk, Weather, Financial
ContextFabric™
Capture, Manage, Synthesize, Package, Govern
AI Agent Workforce
Quoting, Claims, Service
Partner Ecosystems
Repair, Payments, Legal
System of Record
Traceability, Auditability
Select a component
Click on a node in the diagram to see its description here.
AI Agent in Action: A Claim Simulation
Follow the step-by-step journey of an automated claim processed by a "Claims Adjudication Agent" powered by ContextFabric™.
ContextFabric™ Action:
Implementation Roadmap
We recommend a phased implementation to build the foundation and prove its value. Click on a phase to see the details.
Measuring Success: Core KPI
The primary measure of success for this architecture is its ability to drive automation. Our initial goal is to automate over 60% of common claims.