How AI helped modernize a legacy [i]professional liability[/i] core system without breaking the business
A [i]professional liability provider[/i] had reliably delivered coverage for its members for over 40 years.
A [i]professional liability provider[/i] had reliably delivered coverage for its members for over 40 years.
A [i]professional liability provider[/i] had reliably delivered coverage for its members for over 40 years.
A [i]professional liability provider[/i] had reliably delivered coverage for its members for over 40 years.
A [i]professional liability provider[/i] had reliably delivered coverage for its members for over 40 years.
But their success relied precariously on decades of institutional knowledge stored in a decades-old platform that was only fully understood by one person.
Even with highly capable teams, outdated UI and fragmented workflows meant their system couldn’t integrate with modern tools or provide the digital experiences their policyholders expected. Manual processes created operational bottlenecks and compliance risks, increasing costs while limiting growth.
AI tools
AI tools
AI tools
AI tools
AI tools
eliminate the “unknowable system problem” by capturing decades of hard-coded rules and translating them into clear documentation and modern code.
Systematic analysis
Systematic analysis
Systematic analysis
Systematic analysis
Systematic analysis
reduces modernization risk, prevents costly surprises, accelerates delivery, and avoids downtime.
New architecture
New architecture
New architecture
New architecture
New architecture
makes it easier to add features, integrate with partners, and adapt to market changes.
Connected platforms
Connected platforms
Connected platforms
Connected platforms
Connected platforms
makes it easier to add features, integrate with partners, and adapt to market changes.
Accessible business logic
Accessible business logic
Accessible business logic
Accessible business logic
Accessible business logic
from every rule, exception, and workflow is now available in an admin portal, enabling easy updates.
The AI-Powered Breakthrough
The AI-Powered Breakthrough
The AI-Powered Breakthrough
The AI-Powered Breakthrough
The AI-Powered Breakthrough
By combining AI with software engineering, we reverse-engineered millions of lines of business logic within the legacy code, systematically parsing them to extract.
Rating calculations and underwriting rules shaped over decades
Rating calculations and underwriting rules shaped over decades
Rating calculations and underwriting rules shaped over decades
Rating calculations and underwriting rules shaped over decades
Rating calculations and underwriting rules shaped over decades
Claims workflows and approval hierarchies
Claims workflows and approval hierarchies
Claims workflows and approval hierarchies
Claims workflows and approval hierarchies
Claims workflows and approval hierarchies
Regulatory compliance logic and reporting processes
Regulatory compliance logic and reporting processes
Regulatory compliance logic and reporting processes
Regulatory compliance logic and reporting processes
Regulatory compliance logic and reporting processes
Integration dependencies across systems
Integration dependencies across systems
Integration dependencies across systems
Integration dependencies across systems
Integration dependencies across systems
AI outputs were validated by our expert engineers to ensure accuracy and compliance. This created permanent documentation of the “black box” and revealed additional modernization opportunities.
Building modern core systems that keep what works
Building modern core systems that keep what works
Building modern core systems that keep what works
Building modern core systems that keep what works
Building modern core systems that keep what works
Armed with the extracted business logic, Praxent rebuilt the system on a modular, cloud-ready platform that preserved what worked while providing future flexibility.
Every edge case and exception was mapped, so nothing was lost.
Traditional Manual Discovery Approach
Traditional Manual Discovery Approach
Traditional Manual Discovery Approach
Traditional Manual Discovery Approach
Traditional Manual Discovery Approach
PraxentDecodeSM