Claims management software is the system that decides whether a customer stays or leaves. The moment a policyholder makes a claim is the moment your promise gets tested, and the software handling that claim sets the speed, the accuracy and the fairness of the outcome.
For insurers, Managing General Agents (MGAs) and brokers, claims is the largest single cost line and the sharpest test of trust. Accenture found that poor claims experiences could put up to $170 billion of global insurance premiums at risk by 2027.1
Yet many carriers still run claims on rigid legacy systems that force adjusters into spreadsheets and manual rekeying. This slows settlement, inflates loss adjustment expenses and lets fraud and leakage slip through.
This guide explains what claims management software is and how it works across the lifecycle. It covers the difference between legacy and modern cloud platforms, and how requirements from the Financial Conduct Authority (FCA) and Lloyd's of London are reshaping the systems insurers must run.
DefinitionWhat is claims management software?
Claims management software is the application that manages the full life of an insurance claim, from the moment a loss is reported through to final settlement and closure.2 It is the system of record for everything that happens after a customer suffers a loss.
It captures the first notice of loss (FNOL), validates cover against the policy, sets reserves, routes the claim to the right handler, manages payments and tracks recovery. It holds the definitive account of what was claimed, what was paid and why.
Where a policy administration system manufactures and maintains the contract, claims software manages the payout. The two are closely linked. The claims system must check that a policy was active on the date of loss and that the peril was covered before a penny is reserved or paid.
Distinguishing claims software from connected systems
Confusion often arises over where claims software stops and other systems begin. In a traditional best-of-breed architecture these functions sit in separate silos that must be stitched together.
Where claims software sits in the stack
The industry is moving away from this fragmented model. Modern platforms consolidate these functions to cut complexity and remove the integration work that slows a claim down.
Genasys, for example, is a core insurance platform that brings policy administration, claims management and billing into one solution. A change in one area, such as an endorsement or a coverage check, is reflected across claims and billing without brittle integrations between separate systems.
Why it mattersClaims handling as a strategic driver
Claims has stopped being a back-office cost centre to be contained. A modern claims management system is now a driver of retention, cost control and competitive advantage.
The moment of truth for customer loyalty
The claim is where loyalty is won or lost. Bain found that around half of customers satisfied with their claims experience say they are likely to renew, compared with only a third of those who were dissatisfied.3 In the UK, Bain's NPS Prism data puts the relationship NPS gap between a positive and a negative claims journey at 119 points.4
Operational efficiency and straight-through processing
A modern claims system removes the friction of manual handling. By automating FNOL capture, validation and routing, insurers can push simple claims through to settlement with little or no human touch. McKinsey estimates that more than half of current claims activities could be replaced by automation by 2030.5
The cost case is direct. McKinsey puts the potential reduction in loss adjustment expenses from digitising claims at 25 to 30 percent.6
Fraud detection and leakage control
Claims is where fraud is paid or stopped. UK insurers detected £1.16 billion of fraudulent general insurance claims in 2024, with more than 98,400 fraudulent claims uncovered.7 Software with analytics and pattern detection built in catches what a manual review misses.
Regulatory compliance and auditability
A robust claims system gives a complete audit trail of every decision, reserve change and payment. This matters under the FCA's operational resilience rules and Consumer Duty, which expect insurers to evidence prompt and fair claims handling. Legacy systems that trap data make that evidence hard to produce.
AnatomyCore components of a claims management system
A comprehensive claims platform is built from several integrated modules that move a claim from notification to closure.
The integrated modules of a claims system
FNOL and intake is the front door. It captures the loss across phone, web, app or broker channels, then validates the policy and the basic facts of the claim. Clean capture at this stage sets the speed of everything that follows.
Triage and segmentation sorts each claim by complexity and value. McKinsey describes systems that segment and route each claim quickly to the right handler and resolution channel, sending simple claims to straight-through processing and complex ones to skilled adjusters.8
Adjudication and reserving is the decision engine. It applies policy terms, calculates the reserve and tracks the claim against it. Consistent rules here protect the loss ratio and keep reserving accurate across a portfolio.
Fraud detection runs analytics across the claim and its history to flag suspicious patterns. The Insurance Fraud Bureau's AI tool produced a six-fold rise in fraud-network searches for UK insurers, surfacing networks a manual process would miss.9
Settlement and payment moves money to the customer and instructs any disbursement. In the London Market, Lloyd's Faster Claims Payment solution is built to shorten this step.
Recovery and reporting manages subrogation and salvage, then feeds dashboards that let managers monitor cycle time, loss ratios and bottlenecks in real time.
Old vs newLegacy systems vs modern platforms
The industry is split between carriers maintaining old infrastructure and those building on modern platforms. The architectural difference decides how fast you can settle, configure and integrate.
Legacy vs modern claims architecture
Legacy claims system
- Hard-coded rules: changing a workflow or a reserve rule needs an IT change request and can take months.
- Data silos: claims data trapped apart from policy and billing, blocking a single view.
- Manual handling: adjusters rekey data and chase email threads, slowing settlement.
- Weak fraud detection: limited analytics let leakage and organised fraud slip through.
Modern platform
- Cloud-based: delivered as a managed service for scalability and resilience.10
- API-first: every function exposed via an API to connect data sources and partners.
- Low-code configuration: business users change workflows and rules through visual tools.
- Real-time data: live visibility of cycle time, reserves and portfolio performance.
Legacy claims systems are often built on mainframe codebases from the 1990s or early 2000s and are defined by rigidity. Modern platforms are delivered from the cloud, expose every function through an Application Programming Interface, and let business analysts configure workflows and rules without deep technical skills.
CloudWhy cloud-based delivery changes the economics
Most modern claims management software is delivered from the cloud rather than installed on an insurer's own servers. This changes the operating model, not just where the software runs, and it reshapes the cost, resilience and pace of the system.
A subscription model instead of capital outlay
Cloud delivery runs on a subscription rather than a large upfront purchase of hardware, licences and implementation. Insurers pay for what they use, turning an unpredictable capital project into a predictable operating cost. McKinsey reports that cloud-native architecture can reduce the cost of computing by 30 percent and deploy workloads up to 20 times faster with greater resilience.11
Scalability and business continuity
Cloud platforms let an insurer scale capacity with demand, so claims keep moving through a catastrophe surge then scale back to control cost. The same model supports continuity. Staff in unaffected regions can keep settling claims when local infrastructure is down.
Managed updates and security
With cloud software the vendor handles updates, patches and upgrades, so improvements arrive continuously rather than through disruptive projects. Security warrants scrutiny rather than assumption. IBM puts the average financial-sector data breach at $6.08 million in 2024, so vendor encryption and access controls matter.12
What cloud-based delivery changes
LifecycleHow claims software supports the claims lifecycle
A claim is a journey of data from loss to closure. A modern claims management platform manages this journey through distinct stages.
From first notice of loss to closure
Warning signsWhen you have outgrown your system
Many insurers tolerate poor claims performance because it is how things have always run. Certain signs show a legacy system is now harming the business.
Manual workarounds. If adjusters use spreadsheets and side processes to do what the system cannot, you have shadow IT that creates compliance risk and data errors.
Slow settlement. When cycle times lengthen and customers wait, satisfaction falls and so does retention. JD Power found average property claims cycle time rose to 23.9 days, with satisfaction at a seven-year low.13
Integration problems. If you cannot easily connect a new data source, supplier or payment partner, your system is a barrier to faster claims.
Inconsistent data. When the reserve in one system does not match the claim record, or claims data cannot be reconciled with policy data, that points to a failure of integration.
Weak fraud detection. If fraud is found by chance rather than by analytics, you are paying claims you should challenge. Deloitte estimates insurers using advanced AI and analytics could generate savings of 20 to 40 percent on fraud.14
RegulationThe FCA and Lloyd's requirements
In the UK the pressure to modernise claims is not only commercial. It is regulatory.
FCA operational resilience (PS21/3)
The FCA and PRA set rules on operational resilience with a transitional period ending 31 March 2025. By then firms must be able to stay within impact tolerances for their important business services, which for most insurers includes claims.15 Legacy systems with poor redundancy and recovery pose a clear compliance risk.
Consumer Duty and fair claims handling
The FCA's Consumer Duty applies across the chain including claims handling, and expects insurers to evidence good outcomes. Its general insurance value measures show claims costs running at 54 percent of premium for motor and 46 percent for home cover.16 Producing this evidence is hard when legacy systems trap the data.
ICOBS and the duty to handle claims fairly
Under the FCA's ICOBS rules an insurer is under an absolute obligation to handle claims promptly and fairly, and cannot delegate that responsibility even where handling is outsourced.17 A system that records every decision and timestamp helps a firm prove it met that duty.
Lloyd's Blueprint Two and the Core Data Record
For the London Market, Lloyd's Blueprint Two is driving a shift to digital claims. The Core Data Record standardises the data captured at bind to support claims matching at first notice of loss, with the Faster Claims Payment solution built to settle quicker.18 A modern claims system must capture and validate this structured data to process through the Lloyd's gateway.
AIHow AI is changing claims handling
Artificial intelligence is moving from pilots to production across claims, from automated damage assessment to fraud analytics and generative AI for case summaries.
The clearest UK proof point is Aviva. McKinsey reports the insurer rolled out more than 80 AI models in claims. That work cut liability assessment time for complex cases by 23 days, improved routing accuracy by 30 percent, reduced customer complaints by 65 percent and saved more than £60 million in 2024.19
The early savings are broad-based. EY found insurers realised generative AI cost savings of 5 to 10 percent over the past one to two years, with most expecting larger gains ahead.20 The consistent caveat across these sources is that insurers must keep AI transparent, auditable and accountable.
SelectionHow to evaluate a claims management system
Choosing a new claims management platform is a decision that will shape your operation for a decade. Weigh it across four dimensions.
Functional criteria. Does it cover the full lifecycle from FNOL to closure for your lines of business? Look for built-in fraud analytics, configurable workflows and genuine straight-through processing for simple claims.
Technical criteria. Is it genuinely cloud-based and kept current by the vendor, or an old system hosted on someone else's servers? An API-first architecture, real-time data and proven security and resilience aligned to PS21/3 are not optional.
Implementation and change management. Evaluate the vendor's delivery record and methodology. How long to deploy, and how is historic claims data migrated? Favour low-code configuration over custom code that locks you into the vendor.
Internal skills and capacity. Running a modern claims platform draws on data, integration and configuration skills that are scarce. Be honest about your in-house expertise, and weigh how much of the gap the vendor's training, support and configuration tooling closes.
Questions to ask vendors
Next stepsWhen to move from learning to action
Understanding how a claims management system works is the first step towards modernisation. You now recognise that claims is not a back-office utility but the moment your brand is tested and the largest lever you have over cost and retention.
The difference between leading insurers and the rest often comes down to how fast and how fairly they settle. If your current technology is dictating your claims strategy rather than enabling it, the time to act is now.
- Accenture. Poor Claims Experiences Could Put Up to $170B of Global Insurance Premiums at Risk by 2027. 2022. newsroom.accenture.com
- McKinsey & Company. Claims 2030: A talent strategy for the future of insurance claims. 2020. mckinsey.com
- Bain & Company. How to Improve Customer Retention in Property and Casualty Insurance. bain.com
- Bain & Company / NPS Prism. Claims: The Moment That Determines Customer Loyalty (UK). npsprism.com
- McKinsey & Company. Claims 2030: A talent strategy for the future of insurance claims. 2020. mckinsey.com
- McKinsey & Company. Claims management with Samantha Prymaka. 2022. mckinsey.com
- Association of British Insurers (ABI). Fraudulent insurance claims continue to top £1 billion. 2025. abi.org.uk
- McKinsey & Company. Claims 2030: Dream or reality? 2022. mckinsey.com
- Insurance Fraud Bureau (IFB). IFB Exploration drives up fraud detection for insurers. 2023. insurancefraudbureau.org
- McKinsey & Company. What every insurance leader should know about cloud. mckinsey.com
- McKinsey & Company. What every insurance leader should know about cloud. mckinsey.com
- IBM. Cost of a Data Breach 2024: Financial industry. 2024. ibm.com
- JD Power. 2024 U.S. Property Claims Satisfaction Study. 2024. jdpower.com
- Deloitte. Using AI to fight insurance fraud. 2025. deloitte.com
- Financial Conduct Authority (FCA). PS21/3 Building operational resilience. 2021. fca.org.uk
- Financial Conduct Authority (FCA). General insurance value measures data 2024. 2025. fca.org.uk
- Financial Conduct Authority (FCA). ICOBS 8: Claims handling. handbook.fca.org.uk
- Lloyd's. The Future at Lloyd's: Blueprint Two. lloyds.com
- McKinsey & Company. The future of AI for the insurance industry. 2025. mckinsey.com
- EY. GenAI in Insurance: Key Survey Findings. 2024. ey.com