Case Study

Digital Transformation

One of the largest insurance exchanges in the world was running on seventeen disconnected systems, a mix of third-party products and internal builds. We designed and engineered a unified platform that combined data from all of them, producing more than 70% efficiency gains.

70%

See more results below ↓

Client

A global insurance exchange connecting providers, distributors, and customers

Lines

Multiple

What We Solved

Legacy system consolidation and platform unification

ENGAGEMENT

Custom build

The Challenge

This client’s next-generation platform is one of the largest insurance exchanges in the world, bringing together extensive distribution partnerships, leading-edge technology, and a wide range of protection and insurance products.

The infrastructure underneath it had not kept pace. Seventeen distinct systems were in use, some third-party and some internally developed, with little integration between them. The consequences compounded: the same data entered more than once, reports that didn’t reconcile, operational inefficiency across teams, and production processes that ran late because information had to be assembled by hand before anything could move.

The Solution

Paktolus designed and engineered a unified platform that combined the data from all legacy systems into a single environment, delivering over 70% efficiency gains.

Technologies

MS .Net MS SQL IBM ODM Angular.js

Results

70%

efficiency gains

$55B

quoted premium annually

200+

insurance carriers integrated

6,000+

product variations supported

7.5M

active users

Where This Applies

Most carriers we work with are running more systems than anyone intended, accumulated through acquisition, vendor changes, and projects that solved one problem and left another behind. Consolidation rarely means replacement. It usually means building the layer that makes seventeen systems behave like one.

Explore: Paktolus for Carriers → Systems Integration + Carrier Connectivity →

View More Case Studies

Data Engineering and Business Intelligence

A Python-based ETL pipeline replacing manual carrier data processing across more than 25 sources.

99% less reporting time
READ THE CASE STUDY →

Insurance Distribution

A distribution and aggregation platform extending a carrier's reach through third-party carriers, partners, and agent networks.

20% increase in top line revenue
READ THE CASE STUDY →

NLP Based Error Categorization

Carrier quote rejection messages classified and routed automatically instead of by hand.

99% faster error assignment
READ THE CASE STUDY →

How would results like these impact your business?

Twenty minutes, a candid conversation. If we’re not the right fit, we’ll say so.

Let’s Talk