From insurance idea to working app in 90 minutes.
The Digital Insurance Product Library now works with your AI assistant. Install the DIPL Developer Kit, connect Claude or Codex, and turn a plain-language product idea into a structured model, a native Product API and ready-to-use screens for customers, brokers, underwriters and channels. No code required.
Example session
you> Model an Australian commercial property product for SME trades, then build an underwriting workbench for it.
claude> Using dipl · base layer found · 3 sections · 12 scenario checks passed · generating React app…
60–90 min
Idea to a working insurance app
0 lines
of code written by the business user
Claude · Codex
AI assistants supported today
3 frameworks
Angular, React or Vue output
50+ markets
Country standard models to start from
Insurers shouldn't need a core overhaul or a PAS release cycle to launch a product. DIPL keeps product content and logic in a tenant-isolated library, separate from downstream systems. Now your AI assistant can work with that library directly, so you standardize, protect your IP and reach market in hours instead of quarters.
Idea to App in 60–90 Minutes
One session. Four steps. A product you can sell.
Start with the insurance intent: coverage, information, pricing and checks. Your AI assistant does the heavy lifting with DIPL's insurance knowledge and tools. You stay in charge of every decision.
Research
Ask about a market, a competitor wording or a legacy product document.
DIPL gives your assistant curated insurance content: 50+ country models, a global element library and your private catalog. It starts from insurance facts, not a blank page.
Model
Covers, fields, limits, deductibles, rating tables and rules, assembled for you.
Publish the Product API
Every model becomes a native Product API.
Generate the screens
A working Angular, React or Vue app from a ready template.
What used to take a release cycle now fits in a workshop.
DIPL Developer Kit
Insurance expertise. Executable tools.
A guided desktop installer sets up three command-line tools and a DIPL plugin for your AI assistant, so Claude or Codex works with real insurance content instead of guessing.
Insurance knowledge and modelling tools inside your assistant
For Claude by Anthropic and Codex by OpenAI
Secure sign-in to your insureMO tenant
Set up once
Product research and modelling
Run by your AI assistant, on your behalf
Product application generation
Angular, React or Vue, from three templates
Windows 10 or later · macOS 11 or later, Intel and Apple Silicon · Current release v0.3.0
Guided setup
Pick a workflow, Generate Product UI or Install DIPL AI Plugin, and the installer does the rest. Tool updates are checked against the registry automatically.
Works with your assistant
Choose Claude or Codex. The plugin gives it DIPL's insurance knowledge, modelling skills and working procedures.
Secure by design
Sign-in is tenant-isolated, your product IP stays in your private library, and nothing deploys without your explicit confirmation.
Product managers
A researched, structured product model and a clickable prototype for stakeholders.
Actuaries and pricing
Rating tables and rules in the model, with scenario tests that prove the numbers.
Underwriters
A back-office workbench with quote status, referrals and a risk snapshot.
Brokers and channels
A product journey to sell from, or embed through the Product API.
Direct customers
A self-service quote generated from the same product definition.
IT and developers
Clean Angular, React or Vue source to extend, test and deploy.
Built for Non-developers
If you can describe an insurance product, you can build one.
The people who know the product best can now take it all the way to a working screen, in a conversation rather than a backlog.
Generated from the product model: Section 1 limits and sub-limits, ready for an underwriter.
What Sits Underneath
The library your AI assistant builds from.
The Building Blocks
A searchable catalog of global and private elements: covers, fields, underwriting rules, rating tables, clauses, limits, deductibles and taxes, by line of business and country.
Your assistant searches and assembles these through the dipl CLI.
Pre-Built Models
Standard templates and country models for 50+ markets, with base and child layers for regions, brands and niche packages.
Ask for a country model in plain language and start from local rules.
IP Protection
A tenant-isolated private library with granular access, version tracking and governance for proprietary designs and pricing.
AI works inside your tenant. Your pricing and rules stay under your governance.
Manual
Step by step
Model in the DIPL designer, one element at a time.
AI-assisted
Prompt templates
Editable templates build models from natural language, Excel or Word.
AI-assisted
Claude or Codex, end to end
With the DIPL plugin and CLI, your assistant researches, models, tests and generates the app while you review each step.
Comparison
DIPL with AI vs traditional PAS modelling
insureMO DIPL
Traditional PAS
Speed to market
Idea to working app in 60–90 minutes with AI; pre-built elements, no core IT
Months-long release cycles tied to vendor and core development
Who can build
NewProduct managers, actuaries and BAs, guided by an AI assistant, with no code
Specialist configurators and developers
Model to screens
NewProduct API plus generated Angular, React or Vue apps for customers, brokers and underwriters
Separate front-end projects built after the product is configured
Architecture
Standalone content library and engine, decoupled from core operations
Product definitions tightly coupled to the policy admin system
Reusability
Global element library with base and child inheritance
Duplicated product code across lines and regions
IP
Tenant-isolated private library with governance
IP locked in vendor formats or legacy core code
Integration
Native Product APIs and open Excel, Markdown and JSON exports
Closed export options limited by the core system
FAQs
No. The Developer Kit installs everything through a guided wizard, and your AI assistant runs the commands. You describe the product in plain language and review what it builds.
