ScienceSoft Global
Insurance Automation
A Guide to Maximizing Insurance Operational Efficiency
ScienceSoft applies 14 years of experience in insurance IT and 37 years in digital transformation services to help insurance market participants automate their business operations in a cost-aware and compliant way.
Our tailored automation programs and solutions earned us recognition for Insurance Digital Transformation Excellence by The Global Insurer.
Contributors
Insurance IT Consultant, ScienceSoft
Senior Insurance IT & AI Consultant, ScienceSoft
Cybersecurity Director, Principal Architect, ScienceSoft
Insurance Automation: Key Aspects
Insurance automation aims to eliminate manual workflows across underwriting, billing, policy servicing, claims, customer interaction, and other core insurance processes. Automation solutions boost employee capacity and productivity, accelerate insurance workflows, and reduce operational costs.
Automated insurance systems inscreasingly rely on value-adding technologies such as generative and agentic artificial intelligence (AI), machine learning, image analysis, and blockchain to further drive the speed and efficiency of insurance operations and unlock new opportunities for business growth.
- Key integrations: CRM, accounting software, payment gateways, a BI solution, etc.
- Implementation time: 10–18+ months for a custom insurance automation system.
- Development costs: $200,000–$4,000,000+, depending on the automation scope and complexity. Use our online calculator to understand the cost for your case.
- A payback period: 6–12 months on average.
Main Insurance Processes to Automate
Sales and distribution
Automate sales workflows, including lead management, business placement, quoting, and insurance document generation, to reduce time-to-sale and improve sales team efficiency.
Policy management
Get policy creation, updating, and renewal automated to drive a 50%+ increase in the team’s productivity and benefit from over 60% cost savings across policy administration workflows.
Billing and commission management
Eliminate 80%+ of manual policyholder invoicing, dunning, and payment tracking tasks and decrease billing costs by up to 80% while establishing 2–3x faster processes.
Claim management
Combine rule-based and AI-supported automation to intake, validate, and settle claims in minutes rather than days. Detect fraud with 95%+ accuracy using ML algorithms.
Risk management and actuarial analysis
Leverage AI and big data to automate risk evaluation and actuarial calculations, reducing time spent on manual data analysis and improving the accuracy of risk predictions.
Reinsurance management
Automate the management and processing of reinsurance contracts and claims, improving data transparency, speed, and accuracy in risk-sharing processes.
Regulatory compliance
Simplify your adherence to insurance-specific legal requirements and data protection standards with real-time compliance checks and automated compliance reporting.
Customer interactions
Rely on intelligent virtual assistants to process up to 80% of omnichannel customer inquiries and cut the staff workload by over 2x while driving a 7%+ increase in customer satisfaction.
According to Accenture, 80% of insurance executives rank automation, AI assistants, and ML-based analytics as the top game-changing technologies for their business. A recent survey by OZ revealed that 80%+ of insurers already have their underwriting, claims, and policy administration workflows automated. Yet, most firms say they are at early digital journey stages and plan to increase investments in automation technology.
Nearly half of insurers are pursuing aggressive automation strategies to retain a competitive edge. McKinsey stresses that insurance leaders are adopting automation not only to improve their operations but also to launch new digital service models.
Key Features of an Insurance Automation System
ScienceSoft creates all-in-one core insurance platforms and task-specific automated insurance solutions with functionality bound to each client’s unique needs. Below, we share a list of automation modules and features commonly requested by our clients from the insurance sector:
Insurance application processing
- Support for multiple insurance application formats: ACORD forms, PDFs, XML/EDI files, and more.
- Automated conversion of paper application documents into a pre-defined digital format using optical character recognition (OCR).
- Automated data capturing from customers' personal and business documents and data validation using image analysis technologies, machine learning (ML) models, and large language models (LLMs).
- Automated cross-referencing of submissions against trusted external sources.
- Geography-based AML/KYC verification for new insurance customers.
- Automated customer pre-qualification against the pre-set internal requirements: age, location, income sustainability, owned asset conditions, etc.
- Flagging the applications that contain missing, inaccurate, or contradictory data and automatically routing them for manual check.
- Automated triaging of insurance applications.
- LLM-supported auto-summarizing of customer risk data and generation of underwriting forms.
- Rule- and AI-based assessment of customer risks based on the analysis of:
- Data provided by customers.
- Data available from third-party sources (local credit rating bureaus, medical information bureaus, business registries, title registries, environmental databases, GIS and telematics platforms, etc.).
- The customer’s past insurance coverage and claims history, if any.
- Risk scenario modeling and risk impact assessment based on custom actuarial models.
- Automated calculation of individual insurance premiums based on:
- The type of insurance policy.
- Requested coverage terms.
- Customer creditworthiness, health risks, location, claim history, and more.
- AI-supported recommendations on the optimal personalized premium amounts, coverage limits, and reinsurance options for particular customers.
- Template-based generation of insurance quotes and automated quote submission to prospects.
- Customizable templates for various types of insurance policies: life insurance, health insurance, auto insurance, etc.
- Standard forms (e.g., ACORD forms) for certificates of insurance and specialized evidence.
- Automated policy generation and submission to customers (via email, messaging apps, or a customer portal).
- Automated policy endorsement (updating customer data, coverage and premium terms).
- Rule-based policy renewal and termination.
- Instant communication of policy updates to the policyholders.
- Template-based creation of customer invoices, including multi-currency and multi-language ones.
- Calculating a customer-specific premium and applying it to the invoice.
- Signing invoices using an e-signature.
- Support of multiple payment methods, including bank transfers, credit cards, checks, e-wallets, etc.
- Automated payment processing via the connected payment gateways.
- Real-time invoice tracking by status (sent, paid, due, etc.).
- Automated calculation of agent-level and agency commissions based on the current policy and premium data.
- Scheduled and ad hoc commission payouts, including automated disbursements via direct deposit.
- Automated aggregation and processing of claims from a customer portal, emails, phone calls, etc.
- AI-based validation of claim-supporting documents: medical images and reports, accident reports, photos or videos of damaged property, etc.
- Automated identification of fraudulent insurance claims.
- Remote damage inspection using AIoT and computer vision technologies.
- Rule-based damage estimation and claims triaging.
- Automated assignment of claim management tasks based on employees’ qualifications, availability, location, etc.
- User-defined rules for claim approval or rejection.
- Calculating the due claim payment amount based on custom formulas.
- Instantly communicating claim-related decisions to customers.
- Automated payment of approved claims.
- Automated submission of claims under the reinsured policies for settlement to the relevant reinsurers.
- Calculating and monitoring the essential metrics: underwriting, claim management, financial performance, workforce, etc.
- Configurable analytical dashboards for various user roles: sales agents, underwriting specialists, claim managers, financial analysts, etc.
- Automated generation of insurance reports.
- Scheduled and ad hoc submission of the approved reports to the required legal regulators (e.g., FIO, NAIC, local insurance authorities).
- Predictive analytics to forecast insurance demand, revenue and expenses.
- AI-powered analysis of customer behavior and web sentiment.
Customer self-service
- Customer self-registration, managing and updating personal and business information through insurance portals and apps.
- Template-based creation of insurance applications.
- Paying premium by a preferred payment method.
- Viewing active and previous policies.
- Filing and submitting claims.
- Notifications to customers about the application and claim status changes, expiring documents, etc.
- Instant messaging with insurance customer service specialists.
- An AI-powered virtual assistant to provide natural language customer support across operational and coverage issues.
- (for personal and SME lines) A self-service insurance price calculator.
Security and compliance
- Compliance with KYC/AML and OFAC requirements, NAIC, NICB, CCPA, CPRA, GLBA, SOC1 and SOC2, the Insurance Authority requirements (for the KSA), MCEV principles and GDPR (for the EU), NYDFS (for New York), HIPAA (for health insurance), and more.
- Real-time compliance monitoring.
- Scheduled compliance reports.
- End-to-end audit trail of insurance activities.
- Permission-based access control.
- Multi-factor authentication.
- Insurance data encryption.
- (optional) Insurance data hashing, timestamping, and recording in the immutable blockchain ledger.
Agentic Automation: The New Frontier for the Insurance Industry
AI agents are transforming multi-step, judgement-heavy insurance processes that once required extensive human involvement. Watch the presentation by ScienceSoft’s Vadim Belski, Head of AI, from the 2025 Insurance Transformation Summit in Boston to learn what agentic AI technology holds for insurance and see our custom claims automation AI agent in action.
Important Integrations for an Automated Insurance System
Connecting the insurance solution with relevant internal and third-party systems helps improve the efficiency of insurance operations. ScienceSoft recommends establishing the following key integrations:
- For calculating the expected demand and data-driven planning of distribution and marketing activities.
- For informing the insurance teams about the planned promotions of particular insurance products.
For instant processing and real-time tracking of premium payments.
For automated recording of insurance-related financial transactions in the general ledger.
For comprehensive insurance analytics and advanced visualization and intuitive reports.
Third-party data sources
For accurate risk assessment, insurance pricing, claim validation, and damage estimation.
Specialized integrations you may require:
Show more
Communication channels
For fast and convenient customer interaction.
Show more
Success Factors for Insurance Automation
ScienceSoft’s experience shows that an ROI for the insurance automation system can be achieved in 6–12 months on average. To maximize the solution’s value for the client’s internal processes and drive faster payback from insurance business process automation, we always cover the following important factors:
End-to-end automation
To eliminate manual workflows across the entire insurance cycle, from underwriting and policy servicing to claim handling and operational reporting.
AI-powered analytics
To establish dynamic, data-driven submission intake, risk assessment, loss forecasting, damage estimation, and fraud detection operations.
Operational compliance
To process insurance data in accordance with up-to-date regulatory mandates (AML/KYC, FIO, NAIC, NYDFS, HIPAA, etc.).
Proper user training
To help insurance teams quickly learn how to apply automation to streamline their daily tasks.
Security must be your priority from day one
Make sure your automation system and the data it uses are adequately secured against known and emerging cyber threats. Multi-factor authentication, role-based access controls, encryption of stored and transferred data, and intelligent analytics for threat detection are examples of robust mechanisms for protecting your data and software and strengthening the system’s compliance posture.
Ways to Automate Insurance Operations
There are three main approaches to automating insurance processes, each having its benefits and limitations. Below, ScienceSoft provides a high-level comparison of the three. Our insurance IT consultants can help you define the more feasible option for your business situation.
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Ready-made insurance suite |
Platform-based insurance software |
Custom insurance automation system ScienceSoft recommends |
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Essence
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Implementing market-available insurance software, which typically features automated application processing, risk scoring, quoting, claims processing, and policy administration and provides task monitoring dashboards. |
Building an insurance solution with customizable, easy-to-deploy process automation rules based on a low-code platform, e.g., Microsoft Power Apps, Appian, or Pega. |
Building custom automated insurance software to get all necessary functional and non-functional capabilities and digitally transform insurance workflows of any complexity. |
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Pros
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Cons
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Which Approach to Insurance Automation Fits Your Needs Best?
Answer a few simple questions and find out whether you should opt for a custom solution or a pre-built tool.
Do you need to automate specific or innovative insurance types, e.g., medical malpractice, kidnap and ransom, mortgage, pay-as-you-live life and health, or usage-based auto insurance?
Do you need to automate specific insurance tasks, e.g., risk scoring based on custom criteria, claims triaging based on custom rules, or loss inspection in hard-to-access locations?
Do you want AI-supported insurance automation, e.g., to leverage fully automated document processing, accurately predict risk events and losses, get suggestions on optimal premiums, or detect fraudulent claims?
Do you want to automate insurance tasks using blockchain smart contracts, enable premium payments in crypto, or get end-to-end traceability of insurance transactions and events?
Do you need insurance software providing compliance with the latest insurance regulations of the regions you operate in?
Do you need to integrate your automation solution with multiple back-office systems, legacy tools, or IoT-enabled software-hardware systems?
Do you need a solution offering advanced cybersecurity mechanisms (e.g., intelligent detection of cyber threats and instant enforcement of protective measures)?
Do you need an insurance solution with various interfaces for different roles (e.g., underwriters, policy administrators, claim specialists, analysts, customers/brokers)?
Do you plan to evolve the automation solution with new functional and non-functional capabilities in order to adjust it to changing business and legal requirements?
Do you have large teams involved in insurance processes and look to avoid the software fees associated with the per-user subscription model?
Please tell us a bit more about your needs
Answer at least 3 questions to get results.
You can go with off-the-shelf insurance software
Looks like market-available solutions are a viable option to meet your automation needs. Turn to ScienceSoft if you need help with choosing the optimal ready-made tools, their implementation, customization, or integration with your existing systems.
You definitely should consider custom development
A tailored insurance automation solution will help you reap the unique benefits that market-available software cannot offer. Turn to ScienceSoft to get the detailed assessment of a custom system’s feasibility for your business situation.
Custom insurance software is your best choice
Looks like market-available automation tools don’t fit your specific requirements and won’t be able to provide the expected operational and economic feasibility. Turn to ScienceSoft to get a consultation on custom insurance software and receive cost and ROI estimates.
Insurance Automation Costs
The costs and timelines of implementing custom insurance automation solution vary greatly depending on:
- The number and specifics of insurance processes (e.g., underwriting, billing, claim management, etc.) to automate.
- The functional complexity of the automation system, including the implementation of value-adding features.
- Performance, availability, scalability, security, compliance requirements.
- The scope and complexity of integrations.
- The number of user roles.
- The sourcing model (full outsourcing, team augmentation, or all in-house) and team composition.
From ScienceSoft’s experience, an insurance automation project for an upper-midsized organization may cost around $200,000–$1,500,000. Large carriers with complex insurance processes should expect to invest $1,000,000–4,000,000+.
Want to know the cost of your insurance automation solution?
Key Benefits of Insurance Automation
Higher efficiency of insurance teams
Automated systems allow establishing straight-through customer onboarding, risk evaluation, pricing, policy issuance, and claim decision-making flows. This brings up to a 50% reduction in employee workload alongside a 25–35%+ increase in the teams’ productivity.
Faster insurance processes
AI-supported insurance document automation lets organizations process multi-format applications, risk evidence, and claim proofs over 50x quicker, which accelerates quote submissions and claim decisions by more than 4x. Insurance reports can be produced 2.5–75x faster.
Operational cost savings
By automating core servicing tasks, organizations in the BFSI sector benefit from a 10–25% decrease in operational expenses due to removed manual routines and enhanced team performance. Employing an AI-powered insurance solution can bring a 30–50% cost reduction.
Minimized fraud-associated losses
Leveraging intelligent automation tools for insurance fraud detection can reduce fraud-associated losses by up to 90% due to the timely prevention of illegitimate services, undue claim payouts, and malicious employee transactions.
Twofold uplift in business profits
Insurance automation at scale can help larger insurers achieve up to a 50% increase in business profits over five years due to optimized operational costs, minimized risks, and maximized revenue potential enabled by new digital service models.
Enhanced customer experience
Digitalizing customer interactions and bringing automation into the insureds’ self-service processes helps elevate customer experiences and drive a drastic increase in customer satisfaction, promising up to a 4% increase in revenue and EBIT growth rates.
See How AI Benefits Insurance Application Processing
Watch Vital Soupel, Senior Insurance IT & AI Consultant, explain how AI can reinforce insurance application processing, from intake and document analysis to completeness checks and underwriting assistance. The video also highlights how insurers can maintain human oversight, prevent silent AI errors, and ensure reliable audit trails for safe AI adoption.
Insurance Automation Services by ScienceSoft
ScienceSoft provides a full scope of consulting and engineering services to help insurance market participants plan and introduce robust business process automation.
Insurance automation consulting
We design an insurance automation strategy tailored to your needs and accurately plan its launch. You get optimal features, architecture, and technology stack for your automation system and a detailed project plan for predictable implementation.
Implementation of insurance automation
We plan and develop a new insurance automation solution or upgrade your existing insurance tool. You benefit from smooth software integration with the required corporate and external systems. We can also conduct user training in your preferred format.
Why Automate Insurance Operations With ScienceSoft
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Since 2012 in leading digital transformation and engineering custom software solutions for the insurance industry.
- Insurance IT and compliance consultants (NAIC, NYDFS, CCPA, GDPR, etc.) with 5–20 years of experience.
- 45+ certified project managers (PMP, PSM I, PSPO I, ICP-APM) who succeeded in large-scale projects for Fortune 500 firms.
- Principal architects with hands-on experience in designing complex insurance automation systems and driving secure implementation of value-adding technologies.
- 350+ software engineers, 50% of whom are seniors or leads.
- Established practices to ensure the high quality of insurance solutions and their delivery on the agreed timelines and budget, despite project constraints or uncertain requirements.
Our Clients Say
ScienceSoft are responsive, technically sharp, and they communicate well with our people. When we've needed to move fast, they've stepped up and delivered. What I appreciate most is their proactive approach. They don't just wait for us to identify issues. They bring solutions to the table and help us prioritize what matters most. That kind of partnership is hard to find.
What stood out was ScienceSoft's proactive suggestions for cost-saving architecture design and tech stack solutions. Their input ensured we stayed within budget without compromising on software quality.
Partnering with ScienceSoft for our software maintenance and evolution initiative has been an excellent experience. Over the past 18 months, their team has transformed our underwriting platform into a well-oiled machine. <...> Their communication was exemplary; unlike our previous experiences with outsourcing, we never had to chase them for updates, and they were always prompt in responding to our queries.
Damien Sewell
Head of IT Projects
ScienceSoft’s quick buy-in and readiness to take the initiative made the project faster and less stressful for everyone involved, from Capital IM’s insurance specialists to leadership. We couldn’t have asked for a better IT partner.
Insights From ScienceSoft's Insurance IT Experts
Vital Soupel
Senior Insurance IT & AI Consultant, ScienceSoft
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About ScienceSoft
ScienceSoft is a global IT consulting and software development company headquartered in McKinney, Texas. We design and build robust solutions to help insurance market participants automate their business processes. Being ISO 9001- and ISO 27001-certified, we apply a mature quality management system and guarantee that cooperation with us doesn't pose any risks to the security of our clients’ data.
