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	<title>Definition:On-demand insurance - Revision history</title>
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	<updated>2026-04-30T11:21:22Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:On-demand_insurance&amp;diff=7977&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<updated>2026-03-10T13:34:18Z</updated>

		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;📱 &amp;#039;&amp;#039;&amp;#039;On-demand insurance&amp;#039;&amp;#039;&amp;#039; is a coverage model that allows policyholders to activate and deactivate [[Definition:Insurance policy | insurance protection]] in real time, typically through a mobile app or digital platform, paying only for the duration or specific event they need covered. Born out of the [[Definition:Insurtech | insurtech]] movement, this approach breaks from traditional annual or semi-annual policy structures by offering granular, usage-based protection — sometimes measured in hours or days. Common applications include short-term [[Definition:Renters insurance | renters insurance]], single-trip [[Definition:Travel insurance | travel insurance]], per-ride coverage for gig economy drivers, and episodic protection for high-value personal items like electronics or sporting equipment.&lt;br /&gt;
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⚙️ Behind the consumer-facing simplicity lies a sophisticated technology stack. On-demand platforms rely on [[Definition:Application programming interface (API) | APIs]] that connect to [[Definition:Insurance carrier | carrier]] systems for instant [[Definition:Policy binding | binding]], [[Definition:Rating engine | rating]], and [[Definition:Policy administration system (PAS) | policy administration]]. When a customer toggles coverage on, the platform transmits risk data — location, item value, duration — to the underwriting engine, which prices the micro-policy and issues it within seconds. [[Definition:Claims management | Claims handling]] is often equally streamlined, leveraging [[Definition:Artificial intelligence (AI) | AI]]-powered [[Definition:First notice of loss (FNOL) | FNOL]] intake and automated [[Definition:Claims adjudication | adjudication]] for low-complexity losses. Carriers that back on-demand products typically partner with [[Definition:Managing general agent (MGA) | MGAs]] or insurtech [[Definition:Program administrator | program administrators]] that own the customer experience, while the carrier provides [[Definition:Underwriting capacity | capacity]] and regulatory licensing.&lt;br /&gt;
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💡 For the insurance industry, on-demand models represent both an opportunity and a challenge. They unlock previously uninsurable or underinsured micro-segments — the freelancer who needs liability coverage for a single gig, or the traveler who wants protection for a weekend ski trip — expanding the overall [[Definition:Addressable market | addressable market]]. However, the model introduces [[Definition:Adverse selection | adverse selection]] concerns: customers who activate coverage only when they perceive elevated risk can skew [[Definition:Loss ratio (L/R) | loss ratios]] unfavorably. Successful on-demand programs mitigate this through behavioral data analytics, minimum coverage periods, and dynamic [[Definition:Premium | pricing]] that adjusts in real time. As consumer expectations for flexibility continue to rise, on-demand insurance is pushing the broader industry toward modular, customer-centric product design.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Insurtech]]&lt;br /&gt;
* [[Definition:Usage-based insurance (UBI)]]&lt;br /&gt;
* [[Definition:Microinsurance]]&lt;br /&gt;
* [[Definition:Embedded insurance]]&lt;br /&gt;
* [[Definition:Policy administration system (PAS)]]&lt;br /&gt;
* [[Definition:Adverse selection]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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