Smart Contracts in Insurance: Automating Claims and Policies

Insurance defines the coverage provided to a person or business and the circumstances in which a benefit is due. Some policies link payment to measurable events, such as a flight delay or a specified level of rainfall. In those cases, smart contracts can automate part of the process using predefined data and rules.

The relationship between the policy, data source and code explains what is automated and what remains the insurer’s responsibility. The executed rule must correspond to the agreed coverage, and the product needs procedures for incorrect data, discrepancies and claims.

What a smart contract can execute

A program can check dates, limits, states and permissions, calculate an amount from a formula and initiate an available on-chain payment. A transaction or call must trigger execution. External events, such as a flight’s arrival, need a data service or oracle.

The policy defines coverage, exclusions and obligations. A smart contract implements some of those conditions. If the document and code differ, publishing the program on a blockchain does not remove the dispute or automatically make its technical result the legal answer.

Identify mechanical decisions separately from those requiring interpretation or review. Checking a date differs from assessing liability for an accident. Automating both as equivalent problems creates misplaced certainty.

Parametric insurance and basis risk

Parametric insurance links payment to a defined index or event instead of calculating every payout from individually assessed damage. It exists without blockchain. Adding a smart contract changes execution or recordkeeping, rather than the nature of that insurance design.

Basis risk arises when an index-based payment differs from the actual loss. Damage may occur without reaching the threshold, or payment may exceed the loss. World Bank work on parametric insurance describes this limitation. A correct oracle cannot remove it: it can faithfully transmit an index that imperfectly represents the policyholder’s situation.

An example involving a flight delay

Consider hypothetical coverage paying €100 for an arrival delay of at least three hours. Before offering it, specify the flight, airport, reference time, time zone, data source and treatment of cancellations or diversions. The amount and threshold here are illustrative, not a commercial offer.

The application records coverage and its validity period. After the flight, a service retrieves the specified data and submits an operation. The contract checks that coverage was active, no payment was already made and the threshold is met. It records the result and initiates payment through the defined mechanism.

Testing must include exceptions: an unavailable source, corrected data, duplicate identifiers and insufficient funds. Define what users see while waiting and how they can raise a claim. “Awaiting data” and “not covered” are different states and should be communicated accordingly.

Oracles, funding and corrections

An oracle connects an external source with the contract rule. Its signature identifies the data supplier; it does not establish the truth of the underlying fact. Define freshness limits, accepted sources, responses to disagreement and authority to correct errors.

Automation does not create payment capacity. Specify where funds are held, which entity owes the obligation and how operations reconcile with its systems. A visible contract balance does not by itself establish the solvency of an insurance business.

Pause and upgrade permissions require specific assessment. They may support incident response while concentrating intervention powers. Document and test them, and identify accountable operators. Their existence should not become a surprise during a claim.

Privacy and supervision

Medical records, reports and identity documents require access and retention controls. Publishing them on an open network may create exposure that is difficult to correct. Keeping documents off-chain with limited references on-chain is one design option, but even references may identify individuals.

EIOPA’s 2021 discussion paper examined blockchain opportunities and risks, including integration, security, privacy and governance. It is supervisory analysis, not authorisation for every smart contract product. Insurance activity and distribution still require their own regulatory assessment.

Establish whether automation helps

Compare the current and proposed workflows: time from data availability to payment, operations requiring intervention, reconciliation errors and maintenance costs. Measure the complete process, rather than transaction execution alone.

Before production, test policy-to-code correspondence, duplicate payments, limits, unavailable oracles and recovery. A smart contract audit provides evidence within a defined technical scope. Product quality also depends on insurance design, data and incident handling.