Insurers Still Running Policy Admin on COBOL Don't Have to Choose Between Risk and Speed

EltegraAI extracts what your policy, rating, and claims logic actually does before generating a single line of new code

Average modernization timeline 18.5 → 3.5 months of work
Accuracy 99.9% vs. 60–75% with LLM-only tools
Savings $500K–$1.5M saved per modernization project

Built for Insurance Software Complexity

Insurers are administering live policies on systems written decades ago — COBOL policy administration on the mainframe, RPG on the AS/400, PowerBuilder front-ends built for agents in the nineties. None of it can simply be switched off. A policy sold in 1987 still has to be rated, billed, endorsed, and paid out under the terms it was sold on, and the people who encoded those terms are retiring. When they leave, they take the exceptions with them: the grandfathered rate class, the state variation nobody documented, the claims rule that only fires on one product line. Modernization projects fail not because of the new technology, but because teams don't fully understand what the legacy system actually does. EltegraAI extracts every rule, exception, and regulatory constraint — before a single line of new code is written. So modernization preserves what took 40 years of underwriting to build.

Unlike most AI-based modernization tools that rely on semantic search and probabilistic retrieval, EltegraAI builds a dependency-linked knowledge graph representing the actual structure and behavior of the application. This eliminates the gaps and inconsistencies inherent in competing approaches and enables complete reconstruction of enterprise system intent — even for multi-million-line codebases — achieving 99.9%+ accuracy.

Policy Administration Analysis

Automated reverse engineering of undocumented COBOL and AS/400 policy admin, billing, and claims systems. Every product rule, endorsement, and state variation mapped before modernization begins.

Rating & Underwriting Logic Preservation

Rating tables, eligibility rules, and underwriting constraints are extracted and locked into the knowledge graph — including the exceptions that only apply to closed blocks. Logic is verified, not assumed.

Insurance Knowledge Graph

Decades of product rules, claims adjudication paths, commission logic, and regulatory dependencies captured in a patent-pending deterministic model. 99.9%+ accuracy.

Modern Code Generation

Production-ready code generated from verified intent. Target language, target architecture — no guesswork.

Legacy Analysis
Extract

We read your existing system and map every rule, exception, and edge case — before a single line of new code is written. The system tells us what it does. Not what it was supposed to do.

12 legacy languages supported COBOL · RPG · PowerBuilder · Perl · SAP · and more
Knowledge Graph
Freeze Intent

Business logic is extracted into a patent-pending deterministic knowledge graph — locked and verified before rebuild begins. This is what separates EltegraAI from tools that guess.

99.9%+ accuracy vs. 60–75% with LLM-only tools · Patent pending US 63/848,151
Code Generation
Rebuild

Clean, production-ready code generated from verified intent — in your target language and architecture. No hallucinations. No missing edge cases. No 18-month surprises.

18.5 months → 3.5 months One brief generates 8,400+ test cases automatically
  • “I'm always super sceptical about products in the AI space that are trying to solve what you guys are, but everything you showed and said was clearly well-thought-out and completely different from what everyone else is trying to do (which they'll eventually realize won't work)."

    2x Founder & CTO

See What EltegraAI Extracts From Your Policy Administration System

Book a 30-minute session. We'll show you exactly what business logic and safety constraints live in your legacy systems — before you commit to a modernization path