Insurance Software Support and Maintenance Services
ScienceSoft’s clients get SLA-driven, controllable support and maintenance of their insurance platforms with minimized incidents, fast issue resolution, and lower IT costs. We don’t just handle issues — we systematically reduce their occurrence by proactively enhancing solution performance and optimizing support and delivery processes.
Insurance software support and maintenance services drive stable, secure, and efficient operation of insurance systems while continuously adapting them to evolving business, user, and regulatory needs.
While support services focus on resolving urgent insurance software and user issues, maintenance services span planned activities to improve insurance solutions, such as ongoing app health management, performance optimization, and functional updates.
As the usage of cloud, real-time analytics, and artificial intelligence (AI) technologies in insurance grows, the industry’s service demand shifts toward complex maintenance and support models covering integration monitoring, AI preparation, data-quality work, and compliance controls.
ScienceSoft: A One-Stop Partner for Insurance Software Engineering, Maintenance, and Support
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Since 2012 in software engineering and IT services for insurance.
- Since 2007 in managed software support.
- Over 4,300 success stories carried out in 80+ countries, including large-scale projects for Fortune 500 companies.
- Insurance IT and compliance consultants (NAIC, GLBA, HIPAA, NYDFS, GDPR, the Insurance Authority, etc.) with 5–20 years of experience.
- 350+ software engineers, 50% of whom are seniors or leads.
- Mature Agile and DevOps practices for frequent, consistent releases and fast deployment of software updates.
- Partnerships with Microsoft, AWS, and other global technology leaders for quick access to vendor advisory and discounts lowering maintenance costs.
- Commitment to long-term support — 62% of ScienceSoft’s revenue comes from engagements lasting more than 2 years.
Partnerships and recognitions
What makes ScienceSoft different
Insurance Software Maintenance and Support That Goes Beyond SLAs
At ScienceSoft, we treat the stability and quality of our clients’ systems as a reflection of our own expertise. We take full ownership of the outcomes we commit to and go beyond SLA fulfillment, building long-term engineering partnerships that continuously improve software reliability and service efficiency.
Who We Help With Insurance Software Maintenance and Support
Third-party administrators
Distribution facilitators (NMOs, embedded insurance partners)
Reinsurers
Full-Cycle Support and Maintenance Handled Under One Roof
ScienceSoft’s service model integrates application support, consulting, engineering, QA, data, compliance, DevOps, and infrastructure services, removing the typical fragmentation between reactive support and proactive maintenance operations. This approach supports fast issue resolving and consistent, predictable software improvements.
Insurance software and user support services
L0 support
ScienceSoft offers self-service support tools such as knowledge bases, manuals, FAQs, and virtual assistants with guided workflows so insurance employees, agents, customers, and partners can quickly resolve typical issues without raising tickets.
Our help desk agents handle day-to-day user requests across areas like software access and usage and workspace customization. Fast response, clear communication, and SLA-driven handling ensure a smooth support experience across all user groups.
When issues go beyond standard scenarios, ScienceSoft’s engineers step in to diagnose the functionality, integrations, and data consistency across insurance platforms. The teams identify root causes of troubles and restore stable software behavior.
For deep technical challenges, we involve our senior engineers to fix defects in code, improve system performance, refactor and repair integrations, optimize infrastructure, and handle migration activities while keeping critical systems running without disruption.
Client benefits proven in ScienceSoft’s engagements
>97%
software user satisfaction score
≤1 hour
mean time to resolve critical issues
30–40%+
reduction in Tier-1 support costs
Insurance software maintenance services
ScienceSoft’s engineers continuously monitor, test, and fine-tune insurance app performance to ensure fast response times and stable operation under varying loads. This includes identifying bottlenecks, optimizing resource usage, and preventing performance degradation across workflows.
We selectively update existing functional modules, implement new features and integrations, and improve usability to keep insurance platforms aligned with business and user needs. Our teams deliver changes in an agile and controlled manner, without interrupting ongoing insurance operations.
Our cybersecurity engineers handle software security monitoring, regular audits, and incident troubleshooting, adhering to the NAIC Insurance Data Security Model Law and other applicable frameworks. By identifying vulnerabilities, applying patches, and refining configurations early, we ensure that insurance systems remain protected against evolving threats without affecting performance.
ScienceSoft performs regular compliance reviews, proactively suggests updates in case of regulatory shifts, and implements required changes to keep insurance platforms compliant with the industry’s latest data protection standards (e.g., GLBA, NYDFS, CCPA, GDPR), data exchange standards (e.g., ACORD, LIMRA), and jurisdiction-specific operational rules, e.g., NAIC, state DOI, and NICB for US insurers.
We keep integrations between insurance systems, self-service tools, and external services running reliably by monitoring integration performance and data flows, implementing proactive enhancements, and quickly adapting integrations to changes in connected systems, APIs, and data exchange standards.
Our software and data engineers work together to launch and optimize insurance data integration, storage, and retrieval solutions, handle data and database maintenance, and resolve data quality issues, supporting smooth software performance, AI accuracy, and reliable insurance operations.
To prepare insurance systems for AI adoption, our engineers modernize existing digital workflows, improve data quality and accessibility, expose business functionality through APIs, optimize cloud and platform foundations, and align the intended AI-supported workflows with regulations like the NAIC Model Bulletin on the Use of AI and the EU AI Act.
Client benefits proven in ScienceSoft’s engagements
2–75x
improvement in app performance metrics
35%+
fewer issues reported by software users
1.5–4x
reduction in software maintenance costs
Maintenance facilitation services
ScienceSoft’s teams manage the infrastructure behind insurance applications across on-premises, cloud, and hybrid environments. Our services span design, setup, monitoring, scaling, patching, modernization, optimization, and cyber defense of insurance IT infrastructures.
We streamline insurance software delivery and support processes by applying the Infrastructure as Code (IaC) approach, introducing CI/CD pipelines, and automating testing and deployment. Our teams can assist with DevOps launch and take over full responsibility for DevOps processes.
Client benefits proven in ScienceSoft’s engagements
10–150%
lower app infrastructure costs
40%+
faster test and update rollouts
<5%
software change failure rates
3 steps we take to streamline support and maintenance from the outset
- Assess software maintainability. Some components in legacy insurance systems are simply too costly to support, and in such cases, it’s more reasonable to replace them rather than continue carrying technical debt. For example, in a troubleshooting project for an NMO, our early assessment showed that rebuilding core parts of a producer app would be faster and more cost-effective than fixing a chain of complex defects.
- Stabilize legacy systems early on. Before getting to maintenance and support work, our engineers analyze recurring software issues, identify root causes, and address the most critical weaknesses first. In one core platform maintenance project for an MGA, resolving code and database issues in the reporting module at the start helped eliminate a major source of recurring incidents and significantly reduced ongoing support effort.
- Look for automation opportunities. Much of routine support and maintenance work can be automated: AI assistants can handle up to 80% of standard help desk tickets, CI/CD pipelines can automate testing and deployment, and monitoring tools can continuously track software performance and trigger alerts before issues escalate. By automating repetitive tasks, you free engineers to focus on complex issues while ensuring simpler operations are handled consistently and efficiently.
Insurance Software Solutions We Maintain and Support
By functional domain
Insurance compliance software
By technology
Insurance APIs and connectivity solutions
Insurance IoT solutions
Choose a Cooperation Model That Suits Your Business Needs
ScienceSoft’s Best Practices for Insurance Software Support and Maintenance
Follow the links below to explore the descriptions of best practices behind our proactive, cost-aware support and delivery approach. If you'd like to know how ScienceSoft's practices will work in your case or have any other questions, feel free to contact our consultants.
Tools and Technologies We Work With
Ticketing systems
- ServiceNow
- Jira
- Redmine
- OTRS
- Zendesk
- Freshdesk
Monitoring tools
- Zabbix
- Nagios
- Prometheus
- Elastic Stack
- Grafana
- Datadog
Platforms
Remote collaboration
Connection
- VPN
- RPD
- TeamViewer
Communication
- Microsoft Teams
- Zoom
- GoToMeeting
DevOps
Containerization
- Docker
- Kubernetes
- Red Hat OpenShift
- Apache Mesos
Automation
- Ansible
- Puppet
- Chef
- Saltstack
- HashiCorp Terraform
- HashiCorp Packer
CI/CD tools
- AWS Developer Tools
- Azure DevOps
- Google Developer Tools
- GitLab CI/CD
- Jenkins
- TeamCity
Monitoring
- Zabbix
- Nagios
- Elasticsearch
- Prometheus
- Grafana
- Datadog
Clouds
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- DigitalOcean
- Rackspace Technology
Front-end programming languages
Languages
- HTML5
- CSS
- JavaScript
JavaScript frameworks
- Angular JS
- React JS
- MeteorJS
- Vue.js
- Next.js
- Ember.js
Mobile
- iOS
- Android
- Xamarin
- Apache Cordova
- Progressive Web Apps
- React Native
- Flutter
- Ionic
Databases / data storages
SQL
- Microsoft SQL Server
- Microsoft Fabric
- MySQL
- Azure SQL Database
- Oracle
- PostgreSQL
NoSQL
- Apache Cassandra
- Apache Hive
- Apache HBase
- Apache NiFi
- MongoDB
- Microsoft Fabric
Cloud databases, warehouses, and storage
AWS
- Amazon S3
- Amazon Redshift
- Amazon DynamoDB
- Amazon DocumentDB
- Amazon RDS
- Amazon ElastiCache
Azure
- Azure Data Lake
- Azure Blob Storage
- Azure Cosmos DB
- Azure SQL Database
- Azure Synapse Analytics
- Kinect DK
- Azure RTOS
Google Cloud Platform
- Google Cloud SQL
- Google Cloud Datastore
Other
- Microsoft Fabric
Costs of Insurance Application Support and Maintenance
Insurance software maintenance and support costs typically fall within 10–20% of initial development costs per year and can reach up to 90% of TCO over the solution lifecycle.
Actual costs vary depending on the maintenance and support scope, software and integration complexity, number of users, infrastructure, hosting model, non-functional targets (performance, security, compliance), and the degree of support and delivery automation.
ScienceSoft’s sample cost ranges
$12–$18 per ticket
L1 support for insurance employees, where help desk agents handle routine requests across basic troubleshooting. Covers 200–300 tickets per month with 24/7 availability.
$35–$50 per ticket
L2 support, where engineers address functional and integration issues across core insurance systems. Involves 40–160 tickets per month with 8/5 coverage.
$2,500–$10,000 per month
Maintenance of mature insurance systems with limited change demand. Includes 8/5 monitoring and L2–L3 support with the focus on system health control, incident resolution, and minor updates.
$5,000–$25,000 per month
Maintenance of insurance platforms under continuous evolution. Spans 8/5 monitoring of software availability, performance, and security and L2–L3 support with a steady flow of change requests.
Learn Support and Maintenance Costs for Your Insurance Solution
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