With a modern, AI-ready, low-code insurance platform, insurers can build their own automation capabilities—rather than stitching together rigid point solutions. OutSystems helps life, P&C, and health insurers automate processes, modernize legacy tech, and deliver digital experiences that agents and policyholders actually want to use.
Which insurance processes can be automated?
Insurance automation solutions can touch nearly every part of the value chain. The most common starting points are underwriting, eligibility verification, and claims, but leading insurers are also automating policy servicing, document handling, compliance, marketing, and agency operations.
The goal isn’t to remove humans from the loop; it’s to remove manual swivel-chair work, reduce errors, and give teams better data and tools to make decisions. Below are key areas where automated insurance technologies deliver impact.
Underwriting and risk assessment
Underwriting is one of the most promising areas for automated insurance underwriting and AI-driven decision support. Instead of underwriting teams manually gathering data from multiple systems and documents, automation orchestrates the flow and applies consistent rules.
For example, you can automate:
- Data collection and enrichment: pulling information from internal systems, credit bureaus, third-party data providers, and IoT sources.
- Risk scoring and triage: using rules engines and machine learning to categorize applications and flag exceptions for manual review.
- Automated insurance eligibility verification: checking coverage eligibility, plan rules, and limits against policy and regulatory constraints.
- Referral workflows: routing complex cases to senior underwriters with full context and audit trails.
With AI-enhanced insurance automation software, underwriters spend less time chasing data and more time on judgment calls and product innovation.
Policy administration and servicing
Policy servicing historically involves a lot of manual work across legacy policy admin systems, email, and spreadsheets. Insurance workflow automation helps streamline:
- Quote-to-bind workflows: automating approvals, document generation, and e-signatures.
- Endorsements and mid-term changes: capturing change requests, recalculating premiums, and updating records in core systems.
- Renewals: generating renewal offers, applying rules for pricing changes, and triggering outbound communication.
- Billing and payments: automating reminders, installment plans, and reconciliation with finance systems.
Automated insurance systems built on low-code can connect to existing cores while introducing modern, digital experiences for policyholders and agents.
Claims management
Claims are where automation in the insurance industry often has the most visible impact. Automated insurance claims and insurance claims processing automation can significantly reduce cycle times and improve customer satisfaction.
Typical automation areas include:
- First notice of loss (FNOL): capturing claims online or via mobile apps, with guided workflows and pre-populated data.
- Claims intake and validation: verifying policy coverage, deductibles, and limits automatically.
- Fraud checks: applying rules and AI models to flag suspicious patterns for special investigation.
- Assignment and routing: automatically assigning claims to adjusters based on workload, expertise, region, or complexity.
- Health insurance claims automation: automating pre-authorization checks, medical coding validation, and electronic submission and adjudication.
Using OutSystems, insurers and partners have built AI-powered claims management solutions that integrate with core systems and support end-to-end digital workflows for multiple lines of business.
Verification, compliance, and controls
Regulatory pressure makes automated insurance verification and compliance workflows an obvious fit for automation. Common scenarios include:
- Identity and KYC checks: automating validation against government databases and third-party providers.
- Sanctions and AML screening: screening customers and counterparties automatically at onboarding and at key transaction points.
- Licensing and appointment management: tracking agent and broker credentials, appointments, and renewals.
- Regulatory reporting: assembling data across systems, validating it, and generating filings with clear audit trails.
By embedding these checks into automated workflows, insurers reduce risk while making compliance less of a drag on operations.
Document and data processing
Insurance is still highly document-driven: applications, medical records, loss reports, invoices, and more. Insurance document automation combines low-code and intelligent document processing (IDP) to turn unstructured content into structured data.
Automation can help you:
- Classify documents (e.g., claim forms vs. supporting evidence).
- Extract key fields (names, policy numbers, diagnosis codes, loss amounts) using OCR and AI.
- Validate data against policy records and business rules.
- Kick off downstream workflows (claim creation, underwriting review, payment processing).
OutSystems partners provide IDP components that use AI and machine learning to automate extraction, classification, and validation across insurance forms, contracts, and claims packages, making intelligent automation in insurance far more accessible.
Agency, broker, and marketing operations
Finally, insurance agency automation and insurance marketing automation reduce the manual effort involved in distribution and growth. With the right automation insurance industry leaders can:
- Prioritize and route leads from marketing campaigns to the right agents or brokers.
- Trigger multi-step marketing automation for insurance, such as onboarding journeys, cross-sell campaigns, and renewal nudges.
- Support agents with AI-driven recommendations on the next best offer and outreach channels.
- Automate reporting to carriers, MGAs, and distribution partners.
Platforms built on low-code and AI help insurers deliver agent workbenches, CRM extensions, and sales enablement tools that streamline these workflows and keep agents focused on customers, not admin.
Benefits of insurance automation
When insurers automate insurance processes, the gains show up across operations, customer experience, and innovation. Automation is not just about cutting costs; it’s about creating the capacity and insight to rethink products and experiences in a digital, AI-driven world.
Here’s a high-level view of how insurance automation software benefits both the business and its customers.
| For insurers and IT teams | For customers, agents, and brokers |
|---|---|
|
Lower operational costs and more efficient use of staff |
Faster responses on quotes, claims, and service requests |
|
Shorter cycle times for underwriting and claims |
Simpler, more intuitive digital experiences |
|
Better accuracy and reduced rework |
Higher transparency into claim and policy status |
|
Stronger compliance and auditability |
More personalized products, pricing, and communications |
|
Ability to re-use components across products and lines |
Consistent service across channels and touchpoints |
Key advantages of intelligent automation in insurance
Beyond the above, insurers typically see several core advantages from intelligent automation in insurance initiatives:
- Speed and productivity
- Digitized, automated workflows move faster than email and spreadsheets. AI assistance helps teams complete tasks and build new apps significantly faster than traditional development.
- Cost and efficiency
- Automation reduces manual, repetitive work, allowing teams to handle higher volumes without linear headcount increases. In some cases, insurers and partners have used AI-powered automation to cut processing times by multiples and free up thousands of hours per month.
- Quality, accuracy, and compliance
- Automated rules, validation checks, and standardized workflows reduce errors and inconsistencies, particularly in claims and underwriting. Centralized audit trails and policy enforcement make it easier to demonstrate compliance to regulators.
- Better experiences for customers and agents
- Digital self-service portals, agent workbenches, and proactive notifications turn complex insurance processes into guided, straightforward experiences—whether someone is filing a claim, updating coverage, or quoting a new policy.
- Faster innovation and time-to-market
- With a high-performance, low-code platform at the center of your automation strategy, teams can pilot new ideas quickly, iterate with real user feedback, and scale what works—without being blocked by legacy systems or scarce specialized skills.
Examples of insurance automation
Insurance automation solutions are already reshaping how insurers handle underwriting, service, and claims. Here are a few examples of how organizations are using low code and AI to automate insurance processes and achieve concrete results.
RICOH: AI-powered claims management SaaS built in months
Global technology provider RICOH built an AI-powered claims management SaaS solution using OutSystems to serve insurers that needed flexible, automated insurance claims handling. The team delivered the core solution in just four months—far faster than traditional custom development.
By combining low-code with AI services, they created:
- Automated intake and routing for claims from multiple channels
- Configurable workflows per insurer and line of business
- Integrated dashboards for monitoring claims processing automation and SLAs
Learn more about how RICOH saw significant growth in the insurance market
AXA: Broker self-service portal streamlines claim tracking
Major insurer AXA built a self-service broker portal with OutSystems to simplify policy and claim tracking for more than 3,000 brokers. The portal integrates with legacy systems and centralizes key workflows in a single experience.
By digitizing and automating processes that brokers previously handled via email and phone calls, the insurer:
- Reduced the manual effort required to track claims and policy changes
- Improved broker and customer satisfaction through real-time status visibility
- Lowered operating costs by minimizing ad-hoc, one-off service requests
Learn how AXA better serves their customers with a rapidly built web-based portal
Hollard: Customer-centric transformation with AI and low code
Hollard used OutSystems to modernize back-office operations, introduce AI into core processes, and launch new digital products more quickly, reporting six-figure savings while enhancing case management and customer experience.
By making low-code and AI central to their transformation, they:
- Consolidated fragmented processes into modern, digital workflows
- Improved visibility and control across customer and policy lifecycles
- Freed teams from manual work so they could focus on higher-value service and innovation
See how Hollard saved time and money by revolutionizing their operations
OutSystems: Your application platform for AI-enhanced insurance automation solutionst
To scale automation across the insurance lifecycle, insurers need more than point tools. They need a low-code insurance platform that can orchestrate processes, systems, and AI services across underwriting, claims, policy admin, and distribution.
OutSystems delivers an AI-powered low-code platform designed for mission-critical applications and automation in regulated industries like insurance. Insurers use OutSystems to build custom apps, AI agents, and integrations that power AI automation in insurance—without sacrificing control, security, or performance.
What you can build with OutSystems
With OutSystems, insurance IT and digital teams can:
- Automate end-to-end workflows
- Design, deploy, and update automated workflows for underwriting, claims, policy servicing, and finance, with full visibility and auditability.
- Embed AI and agentic automation
- Use OutSystems AI Agent Builder and Agent Workbench to create AI agents that assist with claims triage, document review, and underwriting analysis, then embed them into existing apps and portals.
- Modernize around legacy cores
- Build digital front ends, self-service portals, and integration layers that sit on top of existing policy administration and claims systems, reducing the risk and cost of full replacement.
- Accelerate development with reusable components
- Reuse UI patterns, integration connectors, and workflow components across lines of business and geographies so more of the app is already built.
- Scale securely across lines and regions
- Standardize governance, security, and performance practices across your automation initiatives, even as you roll out more automated insurance technologies.
Backed by a growing ecosystem of insurance-specific solutions and more than 150 insurers already using OutSystems to power applications and automation, the platform is built to support both today’s projects and tomorrow’s AI-driven innovations.
Frequently asked questions
Agents use AI to prioritize leads, surface next-best actions, and draft or summarize communications so they can spend more time advising customers. It also automates routine CRM updates and reminders in the background.
RPA is used to automate repetitive, rules-based tasks that interact with existing system interfaces, such as data copying or batch updates. Many insurers pair RPA with low-code and workflow orchestration to build more resilient end-to-end automation.
Common examples include automated eligibility and benefits checks, faster health insurance claims adjudication, and self-service member or provider portals. Many teams also use intelligent document processing to extract data from medical and claim documents.
AI-assisted underwriting is a key example, where documents are ingested, key data is extracted, and a recommended decision is generated for human review. AI is also used to triage claims and flag potential fraud so adjusters can focus on complex cases.
In the near term, AI is augmenting agents rather than replacing them. It removes administrative work and surfaces insights, while agents still handle conversations, advice, and complex decisions.
Insurers rely on core policy, billing, and claims systems, combined with AI and machine learning, workflow and RPA tools, intelligent document processing, and low-code platforms. Together, these technologies enable end-to-end insurance automation.
Generative AI is being adopted across many insurers, not just early adopters. It is typically used to summarize interactions, draft service communications, and support underwriting and claims analysis with insights that experts review.
Yes, especially low-complexity claims and routine steps across the lifecycle. FNOL capture, validation, routing, and simple adjudication can be highly automated, with humans focusing on higher-risk or more nuanced cases.
Underwriting can be partially automated, particularly for products with clear rules and eligibility criteria. Data collection and risk scoring can be automated, while underwriters review exceptions and higher-risk submissions.
Intelligent document processing uses OCR and machine learning to classify insurance documents, extract key fields, validate them, and trigger workflows. It significantly reduces manual review and re-keying of information.