Digital Transformation of Traditional Processes

Orchestration and seamless integration of core processes across a wide range of systems and channels.

Analysis
Concept
UX/UI
Architecture
Backend Development
Frontend Development
Quality Assurance
Security
Maintenance
Cloud & DevOps

Problems to be solved

A leading Swiss insurer faced the challenge of streamlining its internal processes while significantly improving the customer experience across all channels.
From policies and claims processing to self-service options: Working with N47, the company developed strategies that simplify operational workflows in the long term and enable consistent customer interactions across all channels.

Key processes ran in isolation across multiple systems and were highly manual, resulting in turnaround times of up to 14 days. At the same time, interactions with customers took place across various channels without consistent coordination or control.

This resulted in:

  • long processing times and inefficient workflows
  • media discontinuities between web, mobile, and offline service channels
  • inconsistent customer experience throughout the customer journey
  • limited transparency and a lack of process control
  • high workload for employees
  • dissatisfied customers, especially in time-sensitive situations

The existing processes were slow and involved a lot of human interaction.

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Solution

A central integration and orchestration layer was designed and implemented to manage both internal processes and customer interactions across systems. This technological foundation enables the scaling of processes without a proportional increase in staff.

The following elements, among others, were used:

  • Central digital interfaces such as web and mobile front ends
  • API-based integration of diverse backend systems
  • Workflow and orchestration engine (e.g., Camunda)
  • Domain- and event-driven architecture (e.g., Kafka)
  • Modular services (microservices)

Ultimately, the result is that employees can now handle key core processes, such as claims, policies, quotes, and master data, end-to-end via a unified interface, while customers can interact seamlessly via email, phone, chatbot, web, or mobile apps and gain transparent insights at any time.

Especially in claims situations, customers benefit from rapid resolution and the direct organization of support, as all relevant information, such as for coverage verification, is centrally available. At the same time, employees are relieved of some of their workload and can focus more on customer service.

The chatbot provides employees and customers with accurate information and resolves simple issues on its own.

Results

More than

500000

Customers on board

More than

10000

Transactions processed reliably every day

Up to

70

%
faster processes

Up to

60

%
fewer manual tasks

Impact

Overall, significant efficiency gains were achieved, and employee and customer satisfaction were sustainably improved:

  • Consistent customer journey across all channels
  • Greater transparency and active control over processes
  • Real-time availability of information for faster decision-making
  • Reduced workload for employees and a focus on value-adding activities
  • Improved customer experience, especially during critical moments
  • Foundation for scalable digital services and additional digital offerings

Peak season

  • Peak season without any major incidents
  • A 34% reduction in tickets over two years
2,450
2022
-14% 2,100
2023
-24% 1,600
2024

Support Satisfaction

  • Continuous improvement
  • An increase of 16% to over 4.5 in one year
3.9
Q1/24
+6% 4.1
Q2/24
+2% 4.2
Q3/24
+7% 4.6
Q1/25

Service Requests

  • Improved stability
  • Further reductions are on the horizon
9,300
2022
-9% 8,300
2024
-10% 7,500
2025

Ticket Burndown

  • 86% of incidents resolved
  • 62% of changes resolved
110
Bugs
-86% 15
Open
130
CRs
-62% 50
Open

Tech Stack

Backend

  • Java
  • Spring Boot
  • Spring Framework
  • Spring Security
  • Spring Data JPA
  • Keycloak
  • PostgreSQL
  • Flyway
  • GraphQL
  • OpenFeign
  • REST
  • SOAP
  • STOMP
  • RabbitMQ
  • JUnit 5
  • Testcontainers
  • Micrometer
  • Logbook
  • Apache Kafka
  • Jackson

Frontend

  • Nuxt
  • Vue
  • Pinia
  • TypeScript
  • Tailwind
  • Vuelidate
  • Zod
  • GraphQL
  • Keycloak
  • Cypress
  • ESLint + Prettier

Cloud

  • Terraform
  • GitLab CI/CD
  • ELK Stack (Elasticsearch, Logstash, Kibana)
  • Prometheus
  • Google Cloud Platform (GCP)
  • Artifact Registry
  • Cloud SQL (PostgreSQL)
  • Google Kubernetes Engine (GKE)
  • Cloud Storage Buckets
  • Keycloak

Ready for your moderni­zation?

Igor works on the project as a tech lead and engineer and is familiar with the regulatory challenges and technical opportunities facing insurance companies.
Let’s talk about your project.