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	<title>Definition:Regulatory technology (Regtech) - Revision history</title>
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	<updated>2026-06-14T13:54:51Z</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:Regulatory_technology_(Regtech)&amp;diff=13744&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<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;Regulatory technology (Regtech)&amp;#039;&amp;#039;&amp;#039; encompasses the use of technology — including [[Definition:Artificial intelligence (AI) | artificial intelligence]], [[Definition:Machine learning | machine learning]], [[Definition:Cloud computing | cloud computing]], [[Definition:Application programming interface (API) | APIs]], and advanced data analytics — to help [[Definition:Insurance carrier | insurers]], [[Definition:Reinsurer | reinsurers]], and [[Definition:Insurance intermediary | intermediaries]] meet their regulatory obligations more efficiently, accurately, and cost-effectively. Within the insurance industry, where firms must comply with an increasingly complex web of [[Definition:Solvency II | solvency]], [[Definition:Market conduct | conduct]], [[Definition:Anti-money laundering (AML) | anti-money laundering]], [[Definition:Data protection | data protection]], and reporting requirements across multiple jurisdictions, regtech has emerged as a critical capability rather than a discretionary investment. The term draws a deliberate parallel with [[Definition:Insurtech | insurtech]]: just as insurtech applies technology to transform insurance products and distribution, regtech applies it to transform how firms manage the burden of compliance.&lt;br /&gt;
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🔧 In practice, regtech solutions in insurance address a wide spectrum of regulatory challenges. Automated reporting platforms ingest data from core [[Definition:Policy administration system | policy administration]] and [[Definition:Claims management system | claims management systems]] and generate regulatory filings in the formats required by different supervisors — from [[Definition:National Association of Insurance Commissioners (NAIC) | NAIC]] statutory statements in the US to [[Definition:Solvency II | Solvency II]] quantitative reporting templates in Europe. [[Definition:Know your customer (KYC) | KYC]] and AML screening tools use real-time data feeds and pattern recognition to flag suspicious transactions or sanctioned parties during the [[Definition:Underwriting | underwriting]] and [[Definition:Insurance claim | claims]] process. Compliance monitoring systems track regulatory changes across jurisdictions and map them to the firm&amp;#039;s obligations, alerting compliance teams when new rules require action — a particularly valuable function for global [[Definition:Insurance group | insurance groups]] that must simultaneously track developments from the [[Definition:Financial Conduct Authority (FCA) | FCA]], [[Definition:European Insurance and Occupational Pensions Authority (EIOPA) | EIOPA]], the [[Definition:Monetary Authority of Singapore (MAS) | MAS]], and dozens of US state regulators. More advanced applications use natural language processing to interpret regulatory text, and some supervisory authorities themselves are adopting regtech — often called &amp;quot;suptech&amp;quot; — to improve their own oversight capabilities.&lt;br /&gt;
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📈 The business case for regtech in insurance rests on more than efficiency gains alone, though those gains can be substantial. Manual compliance processes are inherently error-prone, and the consequences of regulatory reporting failures — restatements, fines, reputational damage, or restrictions on business activities — can far exceed the cost of technology investment. As regulatory expectations intensify globally, particularly around [[Definition:Climate risk | climate risk]] disclosure, [[Definition:Operational resilience | operational resilience]], and [[Definition:Consumer protection | consumer outcomes]], the volume and complexity of compliance work will only grow. Regtech adoption also shifts the compliance function from a reactive, cost-center posture to one that generates strategic intelligence: well-designed systems can surface insights about emerging regulatory trends, identify operational risks before they become supervisory findings, and provide boards and senior management with real-time visibility into the firm&amp;#039;s compliance posture. For [[Definition:Insurtech | insurtechs]] and [[Definition:Managing general agent (MGA) | MGAs]] that lack the large compliance departments of established carriers, regtech platforms can provide scalable access to regulatory capabilities that would otherwise be prohibitively expensive to build in-house.&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:Anti-money laundering (AML)]]&lt;br /&gt;
* [[Definition:Solvency II]]&lt;br /&gt;
* [[Definition:Compliance]]&lt;br /&gt;
* [[Definition:Know your customer (KYC)]]&lt;br /&gt;
* [[Definition:Supervisory technology (Suptech)]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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