Every insurer knows the scenario: submitting a claim digitally via an app or portal usually works smoothly. But after that, the process starts to stall.

Documents, photos and invoices reach claims handlers via email, post and other channels. External parties, from repair shops to expert assessors, are not integrated end to end.

This is where the real bottleneck arises: Claims handlers have to painstakingly bring information together and resolve follow-up questions instead of actively settling the claim. True efficiency only emerges when the exchange between all parties is structured, free from media breaks and digitalised end to end.

Series: Digital Claims Processes for Insurers

How end-to-end digital workflows automate communication, documents and decisions.

What to expect in this article:

Why Digital Claims Handling Is a Strategic Lever for Insurers

The central challenge in claims management today is not volume, but the lack of structure. Data often reaches insurers incomplete, delayed and through numerous uncoordinated channels.

True transformation starts with data quality: Only when information is validated, structured and assigned directly to the relevant case does a robust process emerge.

Digital processing transforms paper-heavy legacy processes into legally robust, high-speed workflows.

This creates a consistent flow of data across the entire process for the first time. Digital claims handling transforms traditional, often still paper-based processes into automated, legally robust workflows.

Key Benefits at a Glance:

  • Faster Claims Handling
    to under 24 hours for standard cases
  • Reduction in Manual Data Entry
    and sources of error
  • Complete Auditability
    thanks to digital audit trails
  • Optimised Use of Resources
    and personnel costs

Digital Claims Intake as the Core of Modern Claims Processes

A claim is not a linear dialogue, but a complex network. The traditional organisation around channels such as apps, email and post reaches its limits here. Modern claims processes need to be case-based.

Leading insurers such as Generali organise their claims intake as an end-to-end workflow rather than as a sequence of individual channels.

Without a structured infrastructure, claims handlers merely coordinate instead of actively settling claims. Paperfly breaks down these silos: information is orchestrated centrally, assigned automatically and documented in an audit-proof manner.

What You No Longer Want:

  • Documents are distributed across different channels 
  • Information has to be brought together manually 
  • Follow-up questions and additional requests create extra work 
  • Claims handlers coordinate instead of settling claims

Paperfly solves exactly this problem by connecting the claim file, documents, communication channels and process participants into a structured digital exchange. Information is collected centrally, assigned automatically and documented in an audit-proof manner.

This turns fragmented claims handling into an end-to-end digital claims process.

The Generali case study shows how an insurer organises its entire claims intake as a workflow.

Digitising the End-to-End Claims Process - How Paperfly Supports Insurers

Paperfly acts as a process and orchestration layer between the policy administration system and all parties involved in the insurer's process. The system connects communication channels and document flows in one end-to-end workflow, ensuring that all information is captured in a structured way, validated and assigned directly to the relevant claim.

Digital end-to-end processing therefore transforms fragmented, often still paper-based processes into continuous, automated workflows:

  1. Claim Creation & Process Start
    When the claim is created in the policy administration system, the entire communication and document process starts automatically.
  2. Structured Data Capture Within the Process
    Customers, expert assessors and other participants return data and documents directly within the workflow. Required fields, validations and rules ensure that all information is complete and correct.
Step Manual Digital & Automated Benefit
Document Intake Post, Email Structured capture of all data and documents within the process Greater Speed
Completeness Check Manual Review Automatic checks using rules & AI Fewer Errors & Follow-Up Questions
Classification & Routing Manual Assignment Automatic Recognition & Routing Higher Efficiency
  1. Automatic Processing & Assignment
    Incoming information is identified, validated and immediately assigned to the relevant claim. Manual consolidation is no longer required.
  2. Transparency, Decision & Completion
    All participants work from a consistent data foundation. Decisions are made faster, status is transparent at all times and the entire process is documented in an audit-proof manner.

Collaborating with Expert Assessors Through Paperfly

Ein typisches Beispiel für strukturierte Schadenkommunikation ist der Austausch zwischen Versicherung und Gutachter. In vielen Versicherungen erfolgt dieser größtenteils weiterhin über den Postweg. Bei der LVM Versicherung wird dieser Austausch über Paperfly organisiert, das als digitaler Hub für Partner arbeitet. Damit entsteht ein strukturierter digitaler Arbeitsraum zwischen Versicherung und externem Partner.

Security During Transmission: Before Paperfly was introduced, exchanges with expert assessors often took place by post because no secure, end-to-end digital transmission channel was available. With Paperfly, this exchange is now handled fully digitally, in a structured and secure manner.

The LVM Versicherung use case shows how collaboration with expert assessors is implemented in practice.

The Business Case: ROI for Digital Claims Handling

The greatest economic lever lies in reducing coordination effort. Claims professionals currently spend a significant proportion of their capacity gathering information manually. Automated processes give them more time for their core expertise: qualified claims settlement.

Structured data capture and complete information within the process eliminate a significant proportion of manual coordination:

Cost Factor Manual Digital & Automated Savings Potential
FTE Effort per 1,000 Cases 15 Employees 8-10 Employees -33 % bis -45 %
Processing Time per Case ~10 Days ~4-5 Days -50 %
Rework Rate ~12% ~5% -58 %
Audit Effort Manual, case-by-case tracking Automated, documented in an audit-proof manner -20 % bis -40 %
Media Breaks & Error Costs High (email, post, manual assignment) Low (structured workflow) up to -75%

Measurement framework: Period: 6-12 months, population: motor and property claims, method: before/after benchmark, data sources: claim files and workflow logs, reporting: quarterly, FTE stands for Full-Time Equivalent.

Compliance & Governance in Digital Claims Processes

While manual processes are often characterised by opaque media breaks and incomplete documentation, audit trails and role-based access controls enable complete traceability of all decisions. Compliance thus becomes an integral part of the process architecture rather than a downstream control function.

Key Governance Requirements in Digital Claims Handling

  • Complete Audit Trail Mechanisms
    (who, when, what and why)
  • Role and Access Rights Framework
    with a clear access matrix
  • GDPR-Compliant Data Processing
    and deletion policies

Integration into Existing Claims and Policy Administration Systems

Digital claims handling must integrate seamlessly into insurers' existing IT landscapes. Claims and policy administration systems remain the central source for policy and claims information. Modern workflow platforms such as Paperfly complement these systems.

Typical Integration Points Include:

  • Claim creation in the core system as the process trigger 
  • Transfer of documents and information into the claim file 
  • Return of form data, photos and expert reports 
  • Synchronisation of status information throughout the claims process

AI in Claims Handling: Opportunities and Limitations

Artificial intelligence is increasingly becoming a central component of digital claims handling. Modern systems can automatically analyse incoming documents, extract and structure relevant information, and classify claims by risk or complexity. This can significantly accelerate processing, particularly where claim volumes are high.

At the same time, data-driven models can identify fraud patterns earlier, helping insurers reduce claims costs and stabilise their loss ratio.

Comparison: AI-Supported Review vs. Manual Claims Review

Criterion AI-Supported Review Manual Review
Document Analysis Automatic extraction of structured data Manual reading and transcription
Processing Speed Seconds to minutes Hours to days
Scalability Very high (parallel processing possible) Highly dependent on staffing
Fraud Detection Pattern and anomaly analysis Experience-based
Consistency Consistent rules and models Different assessments possible
Governance Risks Traceability & Explainable AI (XAI) required Fewer algorithmic risks

AI does not support claims handling in isolation, but within the process.

Documents and data are automatically identified, classified and validated. Anomalies are flagged and decision-relevant information is provided in a structured form. The value does not come from isolated AI features, but from embedding them into the workflow, precisely where data is created and processed.

Conclusion: Digital Claims Handling as a Profitability Lever

Data, documents and responses are no longer processed in isolation, but are captured centrally within the process, validated and assigned directly to the relevant claim.

This creates an end-to-end, structured flow of data across the entire claims process for the first time.

In short: structure the process. Only when claims processes are organised as workflows do speed, transparency and true automation emerge, forming the foundation for a data-driven, agile insurance organisation.

Frequently Asked Questions About Digital Claims Handling (FAQ)

What Is Digital Claims Handling and How Does It Differ from Traditional Process Digitalisation?

Digital claims handling automates the entire end-to-end process from claim notification through document review and AI-supported analysis to optional payout. Unlike traditional process digitalisation, it does not digitise only individual steps, but designs the entire workflow to be continuous, transparent and audit-proof.

How Much Can Digital Claims Handling Save?

Insurers can significantly reduce staffing effort and processing times. Practical data shows that for 1,000 standard cases, FTE requirements can be reduced from 15 to as few as 8 employees. Processing times are often reduced by more than 50%, while the rework rate falls to below 5%.

What Regulatory Requirements Apply to Digital Claims Processes?

Digital claims handling must comply with the GDPR, maintain audit-proof audit trails, implement role and access rights frameworks, and document AI-supported decisions in a traceable way. These measures support compliance, facilitate reviews by supervisory authorities and integrate seamlessly into existing Governance, Risk & Compliance (GRC) or control systems.

How Long Does It Take to Implement a Digital Claims Process?

Implementation takes place in stages: analysis of current processes, end-to-end process design, tool selection and integration, piloting and rollout. Typical implementation times range from 6 to 12 months, depending on process scope, system landscape and degree of automation.

What Is Straight-Through Processing (STP) and What Are Its Benefits?

Straight-through processing refers to the fully automated handling of standard cases without human intervention. Its benefits include dramatically shorter processing times, lower error rates, reduced personnel costs and high scalability for large claims volumes.

Mini Glossary: Digital Claims Handling for Insurers

End-to-End Automation
Complete digitalisation of the claims process from notification to payout, without manual intervention in standard cases.

Straight-Through Processing (STP)
Automatic processing of standard claims without human intervention, controlled by rules and AI.

AI-Supported Claims Review
Use of artificial intelligence to analyse documents, classify claims and detect fraud.

Audit Trail
Complete, audit-proof documentation of all process steps, decisions and access events within a claim.

Rule-Based Escalation
Automatic routing of complex or high-value claims to claims handlers or specialist teams according to defined criteria.

Media Break
An interruption in the flow of data between manual and digital process steps that leads to delays or errors.

GRC Integration
Integration of claims processes with Governance, Risk and Compliance systems to meet regulatory requirements.

Sources           

German Insurance Association (GDV): Digitalisation of Claims            https://www.gdv.de

McKinsey Claims Transformation   https://www.mckinsey.com

Accenture Insurance Claims             https://www.accenture.com

Deloitte Claims Automation               https://www2.deloitte.com