12-Week Prototype · AI-Native Core Insurance

Guidewire is a memory.

You don't need to build another Guidewire. You need to build the post-Guidewire system.

Project Evergreen is an AI-native platform that replaces your legacy P&C core — policy, claims, billing — using autonomous AI agents, a Gosu transpiler, and a self-service migration portal. No big-bang cutover. No Gosu consultants. No excuses.

70%
Gosu auto-converted
12
Weeks to prototype
99.9%
Parallel match target
80%
Migration cost reduction
The Problem

Guidewire is holding your business hostage.

Guidewire dominates P&C insurance with 570+ global carriers. But that dominance is built on a model that is fundamentally incompatible with the AI era. Here is exactly how it is costing you.

Gosu Lock-In: 2 Million Lines of Hostage Code

Guidewire's proprietary Gosu language is their primary weapon against you. The average carrier runs 2 million lines of Gosu. Every line is a chain. Replacing Guidewire without a transpiler costs $10M+ in manual re-coding — and years of your team's time.

$10M+ manual migration cost

6–9 Month Release Cycles in a Real-Time World

Guidewire ships major features once or twice a year. Your competitors are shipping AI-powered products weekly. By the time Guidewire's next release arrives, the market has moved on. You are perpetually behind.

6–9 months per product launch

10-Year Contracts That Punish Success

Guidewire's pricing is based on premiums written or user counts — meaning the more successful your business becomes, the more you pay. Long-term contracts with no flexibility trap you in a model that misaligns vendor incentives with your growth.

40–60% higher TCO vs. modern alternatives

A Closed Ecosystem That Bottlenecks Your Data

Guidewire controls your data access through their PartnerConnect marketplace. AI models are only as good as their data. When your vendor controls the data tap, your AI strategy is permanently capped. You cannot build intelligence on top of a data bottleneck.

AI strategy permanently constrained
"Guidewire's greatest strength — being a deeply integrated, end-to-end suite — is its greatest weakness in an AI world. You don't need to replace them all at once. You need to build an intelligent, data-centric layer around them, use AI to automate the migration, and then let them wither as a commodity utility."
— Project Evergreen Strategic Analysis
0+
Guidewire Customers
Carriers currently locked into the Guidewire ecosystem
0x
Go vs. Gosu Concurrency
More concurrent users on the same hardware with Go
0%
TCO Reduction
Lower total cost of ownership vs. Guidewire contracts
0 wks
To Working Prototype
From kickoff to a live, AI-native policy and claims system
Our Solution

We are building the AI Swarm that eats Guidewire's lunch.

Not a "better Guidewire." A post-Guidewire system. Four capabilities that make the entire category obsolete.

The Gosu Transpiler — Your Secret Weapon

Gosu is just a JVM language. We parse its Abstract Syntax Tree using ANTLR4 and generate idiomatic Go. 70% of your Gosu logic converts automatically. The remaining 30% is flagged for review. Migration cost drops 80% overnight. This is the product that breaks Guidewire's lock-in.

80% migration cost reduction

The AI Agent Mesh — No Screens, Just Decisions

Our Underwriting Agent evaluates risks, calculates premiums, and auto-binds policies using vector search and LLMs. Our Claims Agent pays simple claims instantly. No 15-screen workflows. No IT tickets. Autonomous decisions with full audit trails for NAIC compliance.

Auto-adjudicate claims under $5K

The Data Lakehouse — Fluid, Not Frozen

Apache Iceberg gives you schema evolution without downtime. Every policy gets a 1536-dimensional vector embedding, enabling semantic search for similar risks in milliseconds — something Guidewire cannot do. Your data becomes a competitive asset, not a liability.

Semantic risk search in milliseconds

NAIC Compliance by Design — Not Retrofit

24 states have adopted the NAIC Model Bulletin on AI Systems. Every agent logs its reasoning. Every adverse action triggers a human review queue. The Gosu Transpiler flags potential redlining logic. You are not just replacing Guidewire — you are replacing the era of ungovernable AI.

Compliant by design, not retrofit
Architecture

The Kill Chain Architecture

We use the EATML pattern — Extract, Analyze, Transform, Migrate, Learn — to systematically drain Guidewire of its value while building intelligence in our layer.

Guidewire becomes a dumb transaction processor. The intelligence lives in Evergreen. Then we cut the cord.

Data Lakehouse (Apache Iceberg + Vector Embeddings)
Agent Mesh (Go Routines + LLM Orchestration)
API Bazaar (gRPC / GraphQL / Webhooks)
Gosu Transpiler (ANTLR4 → Idiomatic Go)
Project Evergreen Architecture Diagram
The 12-Week Blueprint

Four sprints.
One decommission.

We do not do big-bang cutovers. We use the strangler pattern — building intelligence around Guidewire, proving superiority in parallel, then cutting the cord when the match rate hits 99.9%.

1
Weeks 1–3

Foundation & The Gosu Killer

  • Gosu-to-Go Transpiler (POC) — converts 70% of logic automatically
  • Data Lakehouse Schema with Apache Iceberg and vector embeddings
  • EATML pipeline ingesting Guidewire data into the new layer
2
Weeks 4–6

The AI Agent Mesh

  • Underwriting Agent — auto-binds policies using LLM + vector search
  • Claims Adjuster Agent — instant payment for sub-$5K claims
  • NAIC Governance Layer — every decision logged with reasoning
3
Weeks 7–9

The Parallel Run Orchestrator

  • Dual-processing engine routing transactions to both systems
  • Structural diff engine comparing Guidewire vs. Evergreen outputs
  • Real-time match rate tracking toward 99.9% threshold
4
Weeks 10–12

The Migration Portal

  • Self-service dashboard: Gosu files, policies migrated, match rate
  • WebSocket-streamed audit log for real-time transparency
  • Final Cutover button — unlocks at 99.9% match over 30 days

Guidewire vs. Evergreen

The numbers do not lie.

Dimension
Guidewire
Evergreen
Architecture
Monolith / JVM
Agentic AI-native
Language
Gosu (proprietary)
Go / Python (open)
AI Approach
Bolted-on, limited
AI core infrastructure
Concurrency
~200 connections
50,000+ connections
Memory/Connection
~2MB
~2KB (1000x better)
Product Launches
6–9 months
Days
Pricing Model
Premium-based subscription
Consumption / outcome
Migration Tools
None
Gosu Transpiler (built-in)
NAIC Compliance
Retrofit required
Compliant by design
Implementation
12–24 months + SI partners
12 weeks prototype

Ready to decommission Guidewire?

Start with the Guidewire Exit Calculator. Upload your Gosu file count, get your migration cost estimate, and generate a board-ready business case in under 5 minutes.