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AI-Powered Insurance Legacy System Assessment
Document your core logic for a clear roadmap to modernization
A smarter, safer, faster modernization. Carriers get verified system knowledge instead of guesswork with an evidence-based plan that documents every requirement. With clarity on how your system really works, you can modernize up to 30% faster and prevent costly surprises.
Modernizing the old way no longer works.
Carriers have long relied on stakeholder interviews and manual code reviews to modernize. But no team can recall every exception or renewal path from decades of claims, underwriting, rating, and billing rules. Missed requirements are unavoidable without detailed documentation.
Teams fear breaking what works, and leadership can’t confirm scope or cost, stalling progress. Yet, your compliance risk grows, licensing costs keep rising, and integration with new tools remains impossible.
AI has upended legacy modernization
Praxent's SOC 2 Type II compliant AI toolset is built specifically for insurance. It reads the legacy code before extracting the complete business logic, decision paths, workflows, edge cases, and even the outdated rules that slow teams down.
THE ASSESSMENT process
We analyze your current state before sharing preliminary findings with a tailored assessment proposal.
In just 4 weeks, you gain:
Full System Blueprint
Using AI-powered business logic extraction, we unlock and then document in clear business terms your:
- Underwriting steps
- Renewal workflows
- Payment calculations
- Decision paths
- Claims logic
- Rating formulas
- Coverage rules
- Edge cases
- Compliance reporting logic
Blueprint includes:
Technical Dependencies and Diagrams
Precisely mapping all data flows, integration points, and system dependencies.
Workflow Catalog
Clarifies which workflows still serve the business, making future underwriting, claims, and billing automation faster and easier.
An executive modernization roadmap and value report
Extracts every business rule, workflow, exception, and edge case from your legacy code, transforming it into clear, comprehensive technical documentation that preserves critical institutional knowledge.
This includes:
Clear Modernization Options and Planning
Compare maintain, modernize, and migrate paths with detailed analysis, including cost estimates, ROI projections, and timelines. Clearly defines the resource and effort breakdown across teams, enabling confident, informed modernization decisions.
The results that matter to insurance carriers:
System Clarity and Confidence
Teams finally understand how the system works and where risks live. Documentation strengthens reliability and simplifies future upgrades and modernization.
Automation and Operational Efficiency
With system logic documented, you can move to automate repetitive steps, reducing manual errors, and making your operations run faster and at lower costs.
Faster Modernization
Clear requirements and a test harness remove discovery and planning bottlenecks across, so you move from assessment to implementation in weeks, not quarters.
Market Leadership
Once the logic is untangled, carriers can create new coverages and enhancements more easily, for the type of digital experiences that set you apart.
Reduced Risk
When hidden rules and exceptions are finally documented, you improve your compliance and reduce operational uncertainty. Complete visibility into your system's business logic means you can make modernization decisions without fear of breaking critical workflows.
Cost Savings
AI removes weeks of manual discovery, cutting planning costs. By capturing rules accurately the first time, it also reduces rework and avoids expensive surprises during modernization.
Why commercial lending leaders work with us
A carrier with a 30-year-old core system needed to modernize but couldn’t risk breaking decades of rating, claims, and underwriting logic buried in millions of lines of code. Using the same AI extraction tools behind this Blueprint Assessment, our team surfaced every rule, exception, and dependency hidden in the system.
That clarity gave the carrier a full set of modernization requirements with a safe path forward and moved the organization away from relying on a single expert.
system fully decoded, including
edge cases and exceptions
downtime during full core
system migration
faster modernization with
AI-generated documentation
and analysis
of annual manual reconciliation
eliminated
Inside the PDF:
→ How AI can help uncover hidden rules with direct extraction from legacy code
→ Risks that come from memory-based discovery alone
→ How full logic docs support safer system changes
→ Three paths to update a legacy system and what they mean
→ Proof from a carrier showing clarity reduced delays and risk
Get the blueprint overview in one page ↓
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