Parametric Insurance and AI

Parametric insurance pays a predefined amount when a measurable event reaches a specified threshold, rather than reimbursing the exact loss after an adjustment. The NAIC describes a policy that might pay a set sum when an earthquake reaches a stated magnitude, with a designated third party verifying the trigger. Examples can include wind speed, rainfall, flood depth, or other objective measures. Artificial intelligence, satellite imagery, weather data, and hazard models may help estimate exposure, choose an index, or assess risk. But the contract’s trigger, data source, calculation, and payout determine whether a payment is due. AI does not create coverage beyond the written policy terms. If an event causes losses but the trigger is not met, the policyholder may receive no payout; if the trigger is met, the payout may differ from actual loss. This mismatch is known as basis risk. Before purchasing, read the threshold, payout schedule, measurement period, data verifier, backup process, and exclusions. Ask how sensor failure or delayed data publication is handled. Compare parametric cover with traditional indemnity insurance and consider whether they complement one another. AI can inform risk modeling, but consumers and businesses should understand the specific contractual trigger and the possibility that payout and loss will differ. For example, a station-based weather trigger can pay when the parameter is met even if one insured farm has little damage, or fail to pay when local losses occur outside the trigger area.