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	<title>Definition:Submission management - Revision history</title>
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	<updated>2026-05-02T09:28:57Z</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:Submission_management&amp;diff=9950&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<updated>2026-03-11T06:00:37Z</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;Submission management&amp;#039;&amp;#039;&amp;#039; is the end-to-end process by which an [[Definition:Insurance carrier | insurer]] or [[Definition:Managing general agent (MGA) | MGA]] receives, triages, evaluates, and responds to risk submissions sent in by [[Definition:Insurance broker | brokers]] seeking [[Definition:Quotation | quotes]] on behalf of their clients. Each submission typically contains application forms, [[Definition:Loss run | loss runs]], supplemental questionnaires, and supporting documents such as financial statements or engineering reports — and a busy [[Definition:Underwriting | underwriting]] desk may receive hundreds or thousands of these packages per week. Effective submission management determines how quickly and accurately an underwriter can identify attractive risks, decline poor fits, and deliver competitive quotes to the market.&lt;br /&gt;
&lt;br /&gt;
⚙️ Traditionally, submissions arrived by email in varied formats — PDFs, spreadsheets, scanned documents — forcing underwriting assistants to manually extract data and key it into rating systems. Modern [[Definition:Insurtech | insurtech]] platforms have begun to transform this workflow by applying [[Definition:Optical character recognition (OCR) | optical character recognition]], [[Definition:Natural language processing (NLP) | natural language processing]], and [[Definition:Artificial intelligence (AI) | AI]]-driven classification to ingest submissions automatically, flag missing information, and route each risk to the appropriate underwriter based on line of business, appetite rules, and capacity. Some systems score submissions on the likelihood of binding, enabling underwriters to prioritize the opportunities with the highest expected value rather than processing the queue on a first-in, first-out basis.&lt;br /&gt;
&lt;br /&gt;
💡 The stakes are higher than they might appear at first glance. Industry studies consistently show that a large percentage of submissions receive no response at all — so-called &amp;quot;no-quotes&amp;quot; — which frustrates brokers, damages carrier relationships, and leaves premium on the table. By compressing turnaround times and ensuring every submission receives at least an acknowledgment, disciplined submission management directly supports [[Definition:Gross written premium (GWP) | premium growth]] and [[Definition:Hit ratio | hit-ratio]] improvement. For carriers operating [[Definition:Delegated underwriting authority (DUA) | delegated authority]] programs, visibility into how their [[Definition:Coverholder | coverholders]] manage inbound submissions is also a governance concern, since poor triage at the front end can lead to adverse [[Definition:Risk selection | selection]] that only shows up later in [[Definition:Loss ratio (L/R) | loss-ratio]] deterioration.&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:Underwriting]]&lt;br /&gt;
* [[Definition:Quotation]]&lt;br /&gt;
* [[Definition:Hit ratio]]&lt;br /&gt;
* [[Definition:Risk selection]]&lt;br /&gt;
* [[Definition:Artificial intelligence (AI)]]&lt;br /&gt;
* [[Definition:Underwriting workbench]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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