Blockchain in insurance and insurtech for coordinated claims and payments

Insurance starts before a claim. The undertaking identifies the customer and insured interest, estimates frequency and severity, sets terms, collects premium and reserves capital. If an event occurs, it checks policy status, cover, causation, loss and potential fraud before paying. It later recovers amounts through subrogation and shares part of the risk with reinsurers.

Each phase uses different records and participants. Intermediaries, adjusters, repairers, hospitals, data providers, insurers and reinsurers may all contribute. One loss can affect several policies or layers of cover. The operating challenge is linking identity, contract, evidence and liability without duplicating information or reaching a conclusion that still requires judgement.

Blockchain fits where several entities need to observe the same contractual state or reconcile the same exposure. Its potential contribution is shared history and executable rules. The legal obligation still comes from the policy and applicable law. Code cannot expand cover, resolve an ambiguous clause or decide by itself that a statement was fraudulent.

In insurance, blockchain acts as a layer of state and execution, not as the complete policy. The legal contract defines rights and exceptions; a smart contract represents only conditions that can be expressed deterministically. Once it receives sufficient data, it can record the event, calculate an amount and instruct or execute payment under established controls.

To know the outside world it needs an oracle, meaning one or more sources reporting rainfall, flights, an index, location or another parameter. Automation is only as reliable as the index definition, source quality and procedure for correcting a faulty reading. Investigation and loss adjustment remain essential in non-parametric products.

The most defensible model combines code and process. The network preserves versions and shared evidence; the insurer retains sanctions, fraud, solvency and customer controls; and an exception route allows review. The goal is to automate what is unambiguous and make disputed matters traceable, not pretend every claim is binary.

Parametric insurance does not necessarily indemnify observed loss. It pays an agreed amount when an index crosses a threshold, such as rainfall at a station, cyclone intensity, regional yield or a certified flight delay. That objectivity reduces adjustment and enables early disbursement when the policyholder needs immediate liquidity.

The trade-off is basis risk. A customer may suffer a loss without the index triggering, or receive payment without an equivalent loss. Product quality depends on the parameter correlating with risk, appropriate geography and period, and communications that do not confuse parametric payment with indemnification of actual damage.

Blockchain automates execution and makes the data and rule version verifiable. It does not improve the index itself. There must be a policy for missing sources, official revisions, oracle disagreement and extreme events outside the model. The more irreversible the payment, the stronger data governance must be.

Sharing policies, invoices or events may make duplicate claims and later alteration harder. It can also establish which information existed when a decision was made. Much fraud, however, occurs before data reaches the record through synthetic identity, staged loss, forged evidence or collusion among providers.

If a false source signs an event, blockchain preserves the falsehood with excellent traceability. Prevention still requires identity checks, analytics, investigation and cooperation within privacy and competition constraints. The network can provide evidence and stop every insurer reconstructing the same file; it should not be marketed as an automatic detector of intent.

Blockchain provides common state when insurers, distributors, suppliers, customers and reinsurers must verify the same policy or event. Rules can coordinate cover, evidence, reserves and payment while each entity keeps its systems. Utility increases where conditions are objective and decreases when causation, loss or conduct requires professional judgement.

Traditional insurance moves policy, evidence, decision, payment and recovery across different systems and organizations. A blockchain network can maintain shared states and execute agreed rules. It does not remove investigation or customer support, but can reduce reconciliation in repeatable processes and preserve a verifiable history of each declaration, validation and authorization.

Notification opens a file but does not determine payment. The insurer checks policy status, identity, cover, exclusions and evidence; sets a reserve; investigates where necessary; calculates the benefit; pays; and may recover from a third party. In health, motor or liability, several providers add evidence and causation is rarely one data point.

DLT can maintain common status, avoid repeated requests and record who supplied each document. Smart contracts can execute deterministic steps such as checking deadlines, detecting duplication, reserving funds or distributing an already approved amount. A consequential customer decision should retain an explanation, accountable party and complaints route.

Good automation does not remove every review. It routes simple cases quickly and escalates inconsistencies. Design covers accounting reversal, source correction, fraud discovered after payment and continuity when the network is unavailable. Fast payment that cannot be explained or appealed turns operating efficiency into conduct risk.

In reinsurance, cedant, broker and reinsurer exchange contracts, bordereaux, premium, claims and recoveries. Information arrives at different times and in different formats and may take months to reconcile. A common record can link each movement to the applicable contract version and show which element is accepted or disputed.

The difficulty is not technical alone. Treaties contain limits, aggregates, reinstatements, currencies and clauses requiring interpretation. Portfolios also contain commercial and personal information that cannot be exposed among competitors. Architecture is usually permissioned, with selective visibility and detailed documents off-chain.

Automation is useful for accepted calculations and movements, while disputes and estimate changes retain human intervention. Benefits are faster closing, fewer differences, better accumulation visibility and less trapped capital, not replacement of the reinsurer by code.

Insurance fraud costs about $308.6 billion a year in the US alone, according to the Coalition Against Insurance Fraud in 2022. The figure explains interest in shared evidence and duplicate detection. It does not show that every automation reduces fraud, because identity, causation and collusion may fail before an event reaches the record.

Etherisc and ACRE Africa documented smart-contract use for index-based agricultural insurance in Kenya. In 2021, the Ethereum Foundation described how the project connected farmer registration, weather information and payments. It is an implementation in a specific setting. Applying it elsewhere requires assessment of distribution, index quality, costs and actual access to funds, without assuming universal savings percentages.

Institutional adoption nevertheless remains early compared with technologies such as analytics, AI or IoT. EIOPA notes that many European developments remain proofs of concept or small deployments. Available evidence establishes viability in specific processes, not wholesale replacement of policy and claims systems.

Insurance products do not behave alike. A flight delay or weather index may be verified through an agreed source. Motor damage requires linking an accident, parts, repair and potential liability. Health cover involves medical necessity and specially protected data. Life and liability may depend on lengthy documentary and legal decisions.

Programming must sit at the right point. In a parametric product it may calculate the entire benefit; in indemnity insurance it may only validate policy status, collect evidence and distribute an approved payment. In reinsurance it may calculate accepted shares without deciding disputed cover. Describing all of these as automatic payout hides the difference between event, loss and obligation.

The decision combines trigger objectivity, source quality, correction, customer impact and need for judgement. The more ambiguous the case, the more useful blockchain is as a shared audit trail and the less suitable as an irreversible executor. Maturity is not eliminating people but reserving their intervention for exceptions that genuinely require judgement.

A smart contract may determine an obligation and send an instruction to a conventional payment system. It may instead transfer tokenized money where the product, institution and jurisdiction permit. These are different architectures. The first requires reconciliation between network and bank; the second adds issuer, custody, liquidity and redemption risk to the payment asset.

Premiums and benefits remain subject to currency, tax, sanctions, AML and customer protection. A stablecoin does not make a cross-border payment risk-free or authorize an insurer to operate outside its license. The beneficiary may need local currency and a complaints route even where the on-chain movement is final.

Atomic settlement is more relevant between institutions exchanging positions and cash, including selected reinsurance flows. For retail customers, availability, error reversal, cost and access often matter more. The payment layer is chosen after designing the insurance product, not before it.

The strongest use cases combine objective rules, governed data and several participants that must verify the same state. Parametric insurance, reinsurance, proof of cover, subrogation and simple claims can benefit. Complex losses still require investigation, adjustment, policyholder support and a clear route for correcting or appealing decisions.

Production architecture connects policy administration, claims, payments, identity, suppliers and reporting. DLT stores states or proofs that several parties must verify. Documents, health data, telematics and complete files normally stay off-chain under permission, retention and rectification controls managed by the responsible insurer.

Oracles require redundancy, change control and traceability. The design identifies who publishes, how often, what happens on disagreement and whether data may later be revised. A contract should not execute a material obligation from an API without contingency procedures. The source is part of the product and its operational risk.

Keys and wallets cannot block rights either. Customers need recovery, representation and alternative channels. In inter-institutional networks, governance allocates node admission, upgrades, incident response, corrections and exit. Distributed validation does not remove the controller or the insurer liable to the policyholder.

A pilot starts with an objective rule, sufficient historical data and a defined insured group. It compares payment time, handling cost, error rate, basis risk and complaints with the current process. It also simulates a missing source, corrected data, sanctions, fraud and technology failure.

In reinsurance or shared processes, useful measures include avoided reconciliations, closing speed, completeness and partner onboarding time. If the network requires duplicate records or disputes remain outside without updating shared state, on-chain data loses operational authority.

Scaling requires product governance, actuarial modelling, distribution, support and capital, not just audited contracts. Blockchain should remain where it removes multilateral friction or enables a previously unviable product. If signed APIs under an accepted operator provide the same outcome, they are usually simpler.

For parametric insurance, testing should compare the trigger with known losses to understand basis risk. Damage may occur without activation, or activation without equivalent damage. Software does not eliminate that difference; the aim is to measure and explain it before purchase. The file should preserve the index source, version and rules for missing or corrected data. Testing should also cover the information provider becoming unavailable during the insured period. A complete operating model explains the resulting treatment rather than leaving the policyholder with an unexplained stalled contract.

Execution needs to confirm active coverage, premium treatment under the contract and that payment has not already occurred. It then connects the calculation to available funds and a verified beneficiary. A repeated instruction must not produce another payout. If payment fails, the insured person retains access to information and complaints, while the outstanding obligation remains visible. Speed should be measured until funds become available, including controls and exceptions, rather than only until the contract emits an event indicating that an automated condition has been met.

Swiss Re’s protection gap is a modelled estimate of coverage needs, distinct from adding observed uninsured losses for one year. Likewise, McKinsey’s automation scenario covers technologies and operating changes beyond blockchain. These references establish insurance context, but the project must demonstrate its own improvement in coverage, handling and cost. Comparisons should retain the same insured population and policy conditions to remain interpretable. Otherwise a change in who is covered or what is promised can be mistaken for an operational gain from the new infrastructure.

MiCA regulates crypto-assets rather than insurance products. An insurer adopting blockchain remains subject to its sector framework, including Solvency II, and to DORA's digital-resilience obligations under competent supervision, alongside data protection and conduct rules. MiCA becomes relevant if the structure incorporates a regulated crypto-asset.

MiCA only comes into play if the solution uses a crypto-asset, for example a stablecoin to pay premiums or indemnities. A sound project distinguishes the insurance product from the technology vehicle and applies the appropriate rules to each component before implementation.

Automation does not reduce disclosure, product-governance, complaints-handling or supplier-oversight duties. In the European Union, DORA includes insurance and reinsurance undertakings in its ICT-risk and resilience framework. Operating nodes or depending on oracles and custodians requires inventory, contracts, testing, continuity and incident reporting as applicable.

A parametric product must remain properly designed and distributed insurance. Customers need to understand the index and basis risk. If a project also tokenizes an economic participation, creates a decentralized risk pool or uses digital assets, securities, crypto-asset, payment and AML rules may be added. Classification follows functions and rights, not the insurtech label.

Most customers cannot audit a smart contract, and even if they could, code does not necessarily contain the whole policy. Terms, exclusions, index definition, sources, fees and complaints procedure must be communicated intelligibly before purchase. An interface may hide blockchain complexity but not the product's consequences.

Every automated decision with significant effect needs traceability and oversight under the applicable framework. The policyholder should know which data triggered or blocked a benefit, how to correct it and who is accountable. If an oracle revises an observation or two sources disagree, the platform should preserve versions and pause or review execution where appropriate.

Financial inclusion cannot be assumed either. Fast mobile payment may help in agriculture or catastrophe response, but product design must consider connectivity, literacy, custody, fees and conversion into usable currency. Efficiency is real only when customers receive appropriate cover and can exercise rights without mastering wallets or networks.

Technology can make a rule faster and more auditable, but it cannot turn weak cover, a poor index or an unfair decision into a good product. It also cannot determine causation, value complex loss, prevent a false identity or guarantee that oracle data represents the policyholder's actual loss.

These concepts distinguish contractual cover, measured event, actual loss, data source and payment mechanism. They also separate automated processing from decision-making, parametric from indemnity cover and shared records from tokenized money. That precision prevents a smart contract being treated as a substitute for the policy, adjuster or insurance supervisor.