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CASE STUDY: INSURANCE & REINSURANCE 

Automating Reinsurance Workbench

Exceeded SLAs
Exceeded
SLAs

Improved partner satisfaction, underwriting quality, discipline, and market reputation.

Smarter Decisions
Smarter
Decisions 

Tailored reporting gave executives deeper insights into business performance.

Global Scalability
Global
Scalability 

Established a foundation for expanding solutions and adopting automation across the enterprise.

Enhanced Analytics
Enhanced
Analytics 

Strengthened data capabilities for strategic planning and optimized reinsurance risk profiles.

CHALLENGE


The reinsurance company faced significant hurdles standardizing processes and ensuring regulatory compliance across multiple geographies. Coordinating activities among cedents, brokers, underwriters, and claims adjudicators added further complexity, slowing operations and creating inefficiencies.
At the same time, scaling software globally and adopting modern automation and AI technologies proved difficult, leaving the company with extremely limited ways to pre-qualify and prioritize incoming business requests for the best outcomes. 

SOLUTION


Bits In Glass developed a global system to route client requests efficiently based on geography, role, and authority level. Robust case management features were implemented to orchestrate communications, actions, and validations across processes, including sanctions checks and cross referencing external databases with internal risk thresholds.

The team also delivered a flexible “digital spine” infrastructure with integration capabilities to support current automation needs and future technology adoption. Case creation and prioritization were automated using factors such as risk tolerance, market conditions, user expertise, and urgency, ensuring faster response and stronger decision-making. 

TECHNOLOGY


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About the Client

 A top-10 global reinsurer offering a wide range of life and non-life reinsurance solutions sought to modernize its core processes— claims and underwriting—using automation and case management capabilities.
The goal was to improve speed to resolution, harness data from multiple sources, enhance decision accuracy and client experience, and ultimately increase revenue while reducing operational costs.