<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en-US">
	<id>https://www.insurerbrain.com/w/index.php?action=history&amp;feed=atom&amp;title=Definition%3AAutomated_quoting</id>
	<title>Definition:Automated quoting - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://www.insurerbrain.com/w/index.php?action=history&amp;feed=atom&amp;title=Definition%3AAutomated_quoting"/>
	<link rel="alternate" type="text/html" href="https://www.insurerbrain.com/w/index.php?title=Definition:Automated_quoting&amp;action=history"/>
	<updated>2026-05-02T22:19:44Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.43.8</generator>
	<entry>
		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Automated_quoting&amp;diff=19799&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
		<link rel="alternate" type="text/html" href="https://www.insurerbrain.com/w/index.php?title=Definition:Automated_quoting&amp;diff=19799&amp;oldid=prev"/>
		<updated>2026-03-17T08:41:30Z</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;Automated quoting&amp;#039;&amp;#039;&amp;#039; is the use of technology to generate [[Definition:Insurance | insurance]] price indications or bindable [[Definition:Quotation | quotes]] with minimal or no human [[Definition:Underwriter | underwriter]] intervention, enabling faster response times and more consistent [[Definition:Pricing | pricing]] across a [[Definition:Book of business | book of business]]. In both personal and commercial lines, automated quoting systems ingest applicant data — drawn from submitted applications, third-party data sources, or pre-filled [[Definition:Embedded insurance | digital workflows]] — and apply predefined [[Definition:Underwriting guidelines | underwriting rules]], [[Definition:Rating algorithm | rating algorithms]], or [[Definition:Machine learning | machine learning]] models to produce a premium figure and coverage terms. The concept spans a wide spectrum: from simple online raters for [[Definition:Motor insurance | motor]] or [[Definition:Homeowners insurance | homeowners]] policies to sophisticated platforms that quote complex [[Definition:Commercial insurance | commercial]] and [[Definition:Specialty insurance | specialty]] risks using algorithmic decisioning.&lt;br /&gt;
&lt;br /&gt;
🔧 At the technical level, automated quoting engines typically integrate with multiple data feeds — including [[Definition:Telematics | telematics]] data, credit information, geospatial hazard databases, public records, and industry loss models — to enrich applications beyond what the applicant provides directly. Rules engines or [[Definition:Predictive model | predictive models]] then evaluate the risk against the carrier&amp;#039;s [[Definition:Appetite | appetite]], determine the applicable [[Definition:Rate | rate]], apply any [[Definition:Loading | loadings]] or [[Definition:Discount | discounts]], and either present a bindable quote or flag the submission for manual [[Definition:Referral | referral]]. In [[Definition:Managing general agent (MGA) | MGA]] and [[Definition:Delegated underwriting authority (DUA) | delegated authority]] structures, automated quoting platforms often operate within parameters established by capacity providers, with real-time compliance checks ensuring that each quote falls within [[Definition:Binding authority agreement | binding authority]] limits. The technology stack behind these systems ranges from legacy [[Definition:Policy administration system | policy administration systems]] with bolted-on rating modules to purpose-built [[Definition:Insurtech | insurtech]] platforms designed for straight-through processing.&lt;br /&gt;
&lt;br /&gt;
📈 The strategic significance of automated quoting extends well beyond operational efficiency. For carriers and MGAs competing in commoditized lines, the ability to deliver instant quotes through [[Definition:Insurance broker | broker]] portals, comparison websites, or direct-to-consumer channels has become table stakes. In more complex segments — such as [[Definition:Small commercial insurance | small commercial]], [[Definition:Cyber insurance | cyber]], or [[Definition:Professional liability insurance | professional liability]] — automated quoting opens access to risks that were previously uneconomical to underwrite manually, effectively expanding the addressable market. At the same time, automated quoting introduces governance challenges: regulators in jurisdictions from the European Union to the United States are increasingly scrutinizing algorithmic pricing for potential [[Definition:Unfair discrimination | unfair discrimination]], lack of transparency, and compliance with [[Definition:Rate filing | rate filing]] requirements, making robust model validation and audit trails an essential complement to the technology itself.&lt;br /&gt;
&lt;br /&gt;
&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:Straight-through processing (STP)]]&lt;br /&gt;
* [[Definition:Rating algorithm]]&lt;br /&gt;
* [[Definition:Underwriting guidelines]]&lt;br /&gt;
* [[Definition:Predictive model]]&lt;br /&gt;
* [[Definition:Insurtech]]&lt;br /&gt;
* [[Definition:Algorithmic underwriting]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
	</entry>
</feed>