Business intent
POs and SMEs define what the product must do.
INDEPENDENT INSURANCE ARCHITECTURE × AI BUILD
Insurance product configuration reimagined with a working proof.
This is my independent, self-directed AI coding tool exploration that naturally evolved in a working proof of concept for a next level Insurance Policy Product administration & Pricing platform where Insurance Products can be configured by AI Agent. One shared model, no product-specific code, AI-native configuration, human-controlled publication.
Business vision. AI execution.
WORKING PROTOTYPE · VIDEO WALKTHROUGHS
Watch videos showcasing the capabilities of the working prototype.
THE LEGACY DELIVERY MODEL · WHAT INOATRIX REMOVES
Insurance product launches still turn business intent into bespoke code.
Product owners and domain experts describe what a product must do. Those decisions then pass through requirements, handoffs and application changes. Product differences become duplicated logic, slowing launches and making every later change more expensive and risky.
THE CONFIGURATION-FIRST SHIFTProduct differences should belong in governed configuration, not in application code.
Requirements & handoffs
Decisions are translated across teams and artefacts.
Application changes
Product differences become code and duplicated logic.
THE CONFIGURATION FOUNDATION
A natively configurable insurance core.
The breakthrough IS NOT an AI agent coding another product specific implementation. It is the truly configurable insurance core concept that ENABLES the AI agent to configure all product structure, underwriting rules, it's lifecycle transactions and pricing algorithms through a governed MCP and API tools.
WHAT THE STUDIO CONFIGURESTHE ENABLER FOR AI CONFIGURATION
Swipe to explore the full capability model →
Configurable structureGeneric attributes define practically any insurance input across every policy entity.
No-code underwritingDecision tables configure conditions, actions and field behaviour visually.
Transaction-specific lifecyclesEach transaction type is configured separately and can carry its own step lifecycle.
Configurable coreStructure, rules and transaction lifecycles
Machine-operable modelCapabilities and constraints are discoverable
Governed MCP serverOnly authorized configuration actions
AI-configured productNo product-specific codebase changes
This is what unlocks the AI path. The agent configures the same governed product model through the MCP server—without product-specific codebase changes or direct database access.
THE UNLOCKED PATH · BUSINESS VISION, CONFIGURED IN REAL TIME
The product takes shape while the business still defines it.
With the configurable core in place, Carrier or MGA teams can work directly with an AI agent aware of insurance context and live platform's capabilities. Furthermore AI agent is able to ask clarification questions in business language and even provide recommendations & suggestions, then use governed MCP tools to configure and validate the actual product directly in a safe UAT environment.
The business conversation does not end with a requirements document or code change. It ends in a testable insurance product configuration.
01
Business conversation
A Carrier or MGA team defines intent, structure, rules and pricing.
02
Context & Capability aware AI
Understands industry context and what the platform can configure.
03
Governed MCP
Performs strictly authorized product configuration actions.
04
Live configuration
Builds the product and validates its structure and rules.
05
Human publication
Human review & test in UAT and decide when to promote to production.
ARCHITECTURE
Different builders. The same governed product model.
Visual authoring is primary. API and AI are alternate authorized paths to the exact same validated configuration—versioned, auditable and reusable.
One governed insurance product modelVersioned, validated, auditable, reusable
Human-controlled review, versioning and publicationApprove, version and publish to production deliberately.
WORKING EVIDENCEINOATRIX PRODUCT STUDIO
INTERESTED IN THE EXPERIMENT?
Let's connect.
If you work with insurance products, pricing or platform architecture, I'd be glad to connect and exchange perspectives.
Insurance product architectureAI-built working prototypeGoverned MCP configuration