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Insurance Digital Transformation
Upgrade your insurance workflows to succeed in the digital age
Since 2012, ScienceSoft helps insurance companies digitally transform their service and business operations to improve employee productivity, deliver innovative customer experience, and foster long-term growth.
ScienceSoft’s Head of Enterprise Application Development
ScienceSoft’s Insurance IT Consultant and Business Analyst
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Digital Transformation in Insurance: Summary
Digital transformation helps insurance companies improve operational efficiency, refine customer experience, and move beyond traditional business models with the help of robust process automation systems and Insurance 4.0 technologies.
- Key project steps: business analysis and requirements engineering, digital transformation planning, implementation (IT infrastructure modernization, upgrading existing insurance software, developing new insurance solutions, etc.), gradual adoption and employee training.
- Timelines: 15–30 months on average.
- Cost: $200,000 (one-time)–$500,000/year (spread across 2–3 years) to transform a particular insurance area; $500,000/year–$1,500,000/year (spread across 3–5 years) to transform the core operational areas of a midsize insurance company.
- Team: a digital transformation consultant, a project manager, a compliance consultant, a solution architect, a DevOps engineer, UX and UI designers, front-end and back-end developers, data scientists, QA engineers.
With 750+ experienced IT professionals on board, ScienceSoft is ready to provide all the necessary competencies to help insurance companies digitalize and innovate their business workflows.
Main Insurance Areas to Innovate
Explore our dedicated pages to learn about the capabilities and benefits digitalization brings for these insurance areas:
Key Opportunities Digital Transformation in Insurance Unlocks
Automation of manual tasks
results in a 30–40% decrease in operational costs, a 2x–20x+ increase in the speed of insurance processes, and a >50% improvement in the productivity of insurance teams.
Advanced insurance analytics
enables a 360° view of historical insurance KPIs, allowing for >95% accurate customer behavior and business performance forecasts.
AI-guided insurance decisioning
helps ensure optimal insurance pricing, minimize financial risks, and drive up to a 15% increase in revenue.
Remote provision of insurance services
helps access a larger client base and spurs higher employee and customer satisfaction due to enhanced convenience.
Streamlined collaboration
within the insurance teams and with external partners allows for prompt and secure data sharing, faster underwriting and claim resolution.
Personalized digital customer experiences
drive up to a 90% increase in customer engagement and an >80% improvement in retention.
Roadmap to Digital Transformation in Insurance
Each insurance business is unique, so the DT strategy and plan will vary for different companies. However, each insurance transformation project goes through the same main milestones to consistently drive process innovations. Below, ScienceSoft’s consultants share a sample insurance transformation roadmap for you to get a general idea of how it may look.
Step 1.
Business analysis and requirements engineering
ScienceSoft starts any insurance transformation project with an in-depth analysis of the following aspects:
- The client’s overall business situation, goals, and needs.
- Current insurance processes, their KPIs, bottlenecks, and improvement opportunities.
- IT infrastructure and existing insurance software, their constraints and transformation potential.
- Insurance data flows (within and beyond the organization).
- Regulatory compliance requirements: e.g., KYC/AML requirements, IFRS17, CCPA, MCEV principles, GDPR (for the EU), NYDFS (for New York), HIPAA (for health insurance).
Upon analyzing the collected information, ScienceSoft’s consultants prepare a detailed list of digital transformation requirements, which covers:
- Long-term goals and short-term objectives of the insurance DT process, prioritized according to their expected financial impact.
- The insurance areas that digital transformation should cover: underwriting, claim management, payments, etc.
- All the capabilities that the insurance innovation should provide: process automation, digital customer journeys, support for new business models, etc.
We usually conduct interviews with multiple stakeholders from various insurance teams (policy managers, underwriters, loss adjusters, etc.) to obtain a comprehensive insight into their pains and needs and accurately determine and prioritize the insurance areas subject to transformation.
Step 2.
Designing the insurance digital transformation strategy and plan
At ScienceSoft, this stage covers:
- Creating a custom digital transformation strategy focused on achieving the insurer’s high-priority objectives and building the foundation for long-term evolution.
- Dividing the long-term DT goals into clear short-term objectives and determining a set of time-framed initiatives to achieve these objectives.
- Introducing a step-by-step action plan, which may include:
- Planning the required modifications of the existing IT infrastructure (cloud migration, IT automation, implementation of advanced cybersecurity tools, etc.) and legacy insurance software (rearchitecting, code refactoring, tech stack modernization, implementation of new functional modules).
- Preparing a feature set for the new insurance software, including capabilities powered by advanced techs (AI, big data, blockchain, etc.).
- Designing a secure, scalable, high-performing architecture for the insurance software.
- Creating a plan of integrations with corporate solutions (e.g., CRM, accounting software), external services and tools (mail services, user authentication services, etc.), third-party systems (bank systems, insured asset tracking systems, etc.).
- Designing role-specific UX and UI of insurance applications (e.g., for insurance agents, underwriting professionals, customers, vendors, etc.).
- Selecting a best-fitting tech stack to implement the project.
- (optional) Developing a proof of concept to assess the viability of innovative insurance software (e.g., for usage-based insurance pricing or intelligent claim prevention).
We value our clients’ money and always strive to find opportunities to optimize project costs. For example, we rely on low-code development where feasible — it brings up to a 70% reduction in the development cost. We also employ reliable prebuilt software components (ready-made logic blocks, OOTB UI components, open-source APIs, etc.) to reduce the expenses on custom development and speed up digital transformation.
Step 3.
Project planning
At this stage, ScienceSoft delivers a detailed project plan that comprises:
- Project deliverables, timelines, budget, and ROI estimates (at the level of the entire project and each particular transformation initiative).
- Critical milestones, objectives, and KPIs.
- The project team and collaboration workflows.
- A change management plan for the gradual implementation of DT initiatives, employee training, and smooth transition to the digital servicing workflows.
- A risk mitigation strategy and plan.
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Step 4.
Step-by-step digital transformation
At this stage, ScienceSoft’s team implements the planned digital insurance transformation initiatives, which may comprise:
- IT infrastructure modernization: migration to the cloud, tech stack revamp, etc.
- Implementing IT automation: CI/CD pipelines, container orchestration, cloud automation, etc.
- Insurance software development or revamp of the legacy insurance solution(s).
- Quality assurance of the insurance software (functional, usability, performance, security testing, and more).
- Integration with relevant internal and third-party systems (CRM, accounting software, a BI solution, etc.).
- Implementing advanced insurance analytics, incl. designing, training, and fine-tuning AI models.
- Data migration from the previously used insurance tools.
- Automated deployment of insurance software to the production environment.
- (optional) Continuous support and evolution of insurance software.
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Step 5.
Employee training
ScienceSoft’s experience shows that user adoption is one of the major factors defining the success of large-scale DT initiatives. To encourage your insurance teams to adopt the digital transformation and help them smoothly shift to the new tech-driven workflows, our experts:
- Conduct employee training in your preferred format (remote, in-person, hybrid).
- Draw up user training materials and user manuals and provide them to your IT team for in-house employee training.
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Success Story by ScienceSoft
Insurance Claim Processing Digitalization
A US-based insurance provider with $61 billion of total insurance value partnered with ScienceSoft to digitally transform its claim processing operations. The insurer’s main objectives were to provide prompt claim resolution, improve customer experience, and avoid employee overload.
ScienceSoft designed and implemented iOS and Android apps for the insurer’s clients, which provide:
- Convenient self-service claim filing capabilities.
- Instant export of claim-related documents in various formats (text, digital images, video) to the insurer’s back-office systems.
- Real-time updates for policyholders on the claim resolution status.
The insurer’s benefits: ~50% reduction in the employee workload within 2 months, faster claim cycle, improved customer satisfaction.
Team Up with Experts for Digital Transformation in Insurance
ScienceSoft relies on decades-long experience in digital transformation projects and deep practical knowledge of the insurance IT domain to provide:
Digital transformation consulting
We design an individual digital transformation strategy and a detailed action plan for you to confidently innovate your insurance business. We thoroughly analyze the economic feasibility of each proposed transformation initiative to ensure it will bring the expected value.
Digital transformation implementation
We handle the transformation of your insurance processes end-to-end or implement standalone solutions to address your specific needs. We prioritize the digitalization initiatives that offer prompt payback to help you reap the benefits of insurance innovation faster.
Why Trust ScienceSoft with Your Insurance Innovation Project
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130+ testimonials from our valued clients.
- Designing and building software for the insurance industry since 2012.
- IT professionals experienced in large-scale digital transformation projects, including projects for Fortune 500 companies.
- In-house project management office to lead complex digital transformation projects that involve distributed teams and multiple vendors.
- Proficiency in advanced technologies: AI and ML (since 1989), big data (since 2013), IoT (since 2011), AR (since 2006), enterprise blockchain (since 2020).
- Established partnerships with Microsoft, Amazon, Oracle, and other global tech leaders.
- Compliance experts with 5–20 years of experience to guarantee insurance software compliance with the required legal standards.
- Since 2003 in cybersecurity to ensure world-class protection of insurance IT systems.
Typical Roles on ScienceSoft’s Insurance Digitalization Teams
Digital Transformation Consultant
Analyzes the insurance business challenges and needs, creates an individual digital transformation strategy and plan, evaluates the feasibility of each DT initiative, and advises on risk mitigation activities.
Project Manager
Plans the insurance innovation project, coordinates the team(s), monitors project progress, reports to the stakeholders, and initiates changes to boost teamwork efficiency, prevent risks, and drive better DT outcomes for the client.
Compliance Consultant
Analyzes the applicable legal requirements, advises on the compliance policies to set up, creates the compliance framework, and participates in the design and QA of the newly implemented or modernized software.
Solution Architect
Designs the insurance IT ecosystem, software, and integration solutions. Rearchitects legacy insurance tools. Suggests the optimal tech stack for insurance DT.
UX Designer
Performs UX research for the employee- and client-facing insurance apps, drafts UX wireframes, and adjusts them during UX testing.
UI Designer
Transforms the final UX wireframes into the insurance app’s UI design mockups, and adjusts the mockups following stakeholder and user feedback.
DevOps Engineer
Designs and configures CI/CD pipelines, sets up and continuously optimizes cloud automation environment, participates in configuring the IT infrastructure.
Front-End Developer
Delivers the interface of insurance software, fixes the issues reported by the QA team.
Back-End Developer
Delivers the server-side code of insurance software, establishes the required integrations, fixes the issues reported by the QA team.
Data Scientist
Designs, trains, and tunes the advanced insurance analytics models. Balances the accuracy of model outputs against the requirements for model explainability to meet regulatory standards.
QA Engineer
Designs and implements a test strategy, a test plan, and test cases to assure the quality of insurance software, reports software defects, and validates fixes.
User Support Specialist
Conducts user training and performs after-launch troubleshooting to ensure the smooth adoption of new digital tools and avoid business disruptions.
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NB! Depending on the project specifics, ScienceSoft can involve additional talents, for example, blockchain developers to build smart contracts for insurance. |
Sourcing Models for Digital Transformation of Insurance
Advanced Technologies We Use to Boost ROI for Digital Insurance Transformation
ScienceSoft’s experts select and implement the best-fitting advanced techs for each particular case to bring additional value across the insurance workflows.
Provides smart automation of insurance analytics and operational decision-making. Helps improve customer engagement and instantly spot fraud.
Allows for insurance software scalability to process and store large data volumes. Enables 24/7 remote access to the insurance systems for employees, clients, and external partners.
Enables seamless processing of multi-format insurance data and helps obtain deep insights into customers’ behaviors, needs, and risks.
Offers advanced diagnostic and predictive analytics to precisely identify the root cause of fact vs. plan variances and forecast all required insurance variables.
Helps establish advanced security and full traceability of insurance data. Enables fully automated claim processing and settlement.
Enables instant data gathering from the policyholders’ tracking systems to speed up damage evaluation and ensure fair claim settlement.
Allows for remote damage inspection via the automated capture and analysis of images and videos of the damaged objects.
Serves to facilitate claim filing for claim specialists and policyholders by enabling damage description using 3D models.
Accelerates insurance teams’ training and improves their negotiation skills through immersive simulations of various accident scenarios.
Costs of Digital Transformation in Insurance
From ScienceSoft’s experience, an insurance digital transformation project for a midsize company may cost around $200,000–$5,000,000+, depending on the scope and complexity of process innovation and the maturity of the company’s existing IT ecosystem.
Here are sample costs for the digital insurance transformation projects:
$200,000 (one-time)–$500,000/year, spread across 2–3 years
Digital transformation of a particular insurance area, e.g., underwriting or claim management.
$500,000/year–$1,000,000/year, spread across 3–5 years
Digital transformation of the core service operations of a lower midsize insurance business ($50M–$500M in revenue).
$700,000/year–$1,500,000/year, spread across 3–5 years
Digitalization of the core operational areas of an upper midsize insurance company ($500M–$1B+ in revenue).
Learn the Cost of Your DT Project
ScienceSoft’s team is ready to provide a custom quote for your specific case.
Major factors that affect the insurance transformation budget and duration are:
- The number and specifics of the insurance areas to transform.
- The possibility to reuse legacy insurance software and IT infrastructure components.
- The functional complexity of new software.
- Performance, availability, scalability, security, and compliance requirements.
- The number and complexity of integrations.
- The number of user roles and role-specific UX and UI requirements.
- The required complexity of insurance analytics.
- The chosen sourcing model and team composition.
About ScienceSoft
ScienceSoft is a global IT consulting and software development company headquartered in McKinney, Texas. We provide end-to-end digital transformation services to help insurance companies innovate their business processes. In our digital transformation projects, we employ mature quality management and data security management systems backed by ISO 9001 and ISO 27001 certifications.