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    <title>AI FinTech Index: Insurance AI changes</title>
    <link>https://aifintechindex.com/categories/insurance-ai</link>
    <atom:link href="https://aifintechindex.com/feeds/insurance-ai.xml" rel="self" type="application/rss+xml" />
    <description>Material product changes at Insurance AI vendors, tracked by AI FinTech Index. Every entry is dated and cited to a public source.</description>
    <language>en-us</language>
    <copyright>Free to reuse with a visible link to aifintechindex.com. Terms: https://aifintechindex.com/use-this-data</copyright>
    <lastBuildDate>Fri, 25 Sep 2026 12:00:00 GMT</lastBuildDate>
    <ttl>720</ttl>
    <image>
      <url>https://aifintechindex.com/icon-192.png</url>
      <title>AI FinTech Index: Insurance AI changes</title>
      <link>https://aifintechindex.com/categories/insurance-ai</link>
    </image>
    <item>
      <title>Ruleguard 4.112.0 makes Regulatory Change Update tasks a measure of their own in MI 2.</title>
      <link>https://aifintechindex.com/changelog/ruleguard</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd0285</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Ruleguard 4.112.0 makes Regulatory Change Update tasks a measure of their own in MI 2. Teams can now report on those tasks directly by task owner, alert list, parent update and whether reminders are on, and filter them to the logged in user for a 'my open tasks' dashboard. The same release reworks MI loading for speed and adds a Refresh button to the dashboard toolbar.</p><p><strong>Why it matters:</strong> Compliance teams at banks, insurers and asset managers can show who owns each regulatory change action, and whether it is overdue, straight from a dashboard instead of rebuilding that view from exported update records.</p><p>Impact: Low. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.ruleguard.com/release-notes/ruleguard-update-4.112.0">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ruleguard">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>S&amp;P Global Market Intelligence: Kensho released version 8.0.0 of kfinance, the Python library and proxy MCP server for the Kensho LLM ready API.</title>
      <link>https://aifintechindex.com/changelog/sp-global-market-intelligence</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd0284</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Security / compliance</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Kensho released version 8.0.0 of kfinance, the Python library and proxy MCP server for the Kensho LLM ready API. The OAuth refresh token is now sent to /oauth2/refresh in a POST body instead of the URL query string, so it no longer appears in access logs or request logs, and the library replaces the requests and httpx clients with httpx2, which changes the exception types raised for HTTP and network errors.</p><p><strong>Why it matters:</strong> Firms pulling S&amp;P Global data into AI workflows through kfinance or the proxy MCP server stop exposing long lived credentials in logs by upgrading. It is a breaking change, so engineering teams must update error handling and make any custom AUTH_REFRESH_URL accept POST before upgrading.</p><p>Impact: Medium. Verification: Partially Verified. Type: Security / compliance.</p><p>Evidence: <a href="https://pypi.org/project/kensho-kfinance/8.0.0/">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/sp-global-market-intelligence">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Sixfold launched Distribution Intelligence, which scores every broker on submission volume, quality, appetite fit and hit ratio using data…</title>
      <link>https://aifintechindex.com/changelog/sixfold</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd0283</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Sixfold launched Distribution Intelligence, which scores every broker on submission volume, quality, appetite fit and hit ratio using data from submissions already run through Sixfold. Underwriting leaders set targets such as submission completeness, hit ratio, segment growth or renewal rates, or accept targets Sixfold recommends, and the system then runs or recommends initiatives (quote more in appetite submissions from a broker, refer a case, reprioritize the queue) that flow into the AI Underwriter with a stated rationale. It is the first capability in a new Portfolio Intelligence Suite.</p><p><strong>Why it matters:</strong> Carriers and MGAs get broker level performance steering inside the underwriting workflow rather than in a separate BI tool, and the agent now reorders and recommends work against portfolio targets, so buyers should review which initiatives run automatically versus only as recommendations.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.sixfold.ai/content/post/introducing-distribution-intelligence">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/sixfold">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Vertafore introduced two Velocity AI agents for MGA underwriting: the Change Request Agent, which summarizes what changed across renewal…</title>
      <link>https://aifintechindex.com/changelog/vertafore</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733994d</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <description><![CDATA[<p>Vertafore introduced two Velocity AI agents for MGA underwriting: the Change Request Agent, which summarizes what changed across renewal and endorsement applications and requires underwriter approval before the summary is saved to the application record, and the Configuration Agent, which turns natural language admin requests into Surefyre program configuration that admins review, preview and test before saving. Both are listed as early adopter on the Velocity AI platform page, with general availability expected this fall.</p><p><strong>Why it matters:</strong> MGAs and carriers underwriting through Surefyre get AI inside the underwriting record with an explicit human approval gate before anything is written. Buyers can hold Vertafore to that review before save control when assessing automated underwriting support.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.vertafore.com/resources/press-releases/vertafore-unveils-digital-underwriter-vision-help-mgas-increase">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/vertafore">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Elysian launched two AI claims products for insurers.</title>
      <link>https://aifintechindex.com/changelog/elysian</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339943</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Elysian launched two AI claims products for insurers. Ely Audit reviews open and closed claim files across a full book instead of a roughly 2% sample, evaluating handling quality, adherence to standards and external vendor performance, and flags portfolio wide patterns. Ely Adjust reviews all open claims daily, risk ranks them and recommends next steps to adjusters, with explainable guidance and an optional supervisor review layer; both connect to the carrier's existing claim system and can be bought separately or bundled.</p><p><strong>Why it matters:</strong> Carriers and TPAs can buy Elysian's claims AI as standalone software rather than only through its TPA service. Ely Adjust only recommends, and the adjuster makes every decision, so it fits claims teams that need human sign off on each file.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.elysian.is/updates/news/elysian-launches-ely-audit-and-ely-adjust-press-release">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/elysian">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>SS&amp;C Technologies: SS&amp;C added an AI portfolio management assistant to Advent Genesis that lets investment teams find opportunities, pull portfolio insights…</title>
      <link>https://aifintechindex.com/changelog/ssc-technologies</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd0281</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Wealth &amp; Advisory AI</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>SS&amp;C added an AI portfolio management assistant to Advent Genesis that lets investment teams find opportunities, pull portfolio insights and start workflows in plain language, and that can review positions, rebalance portfolios and harvest tax lots. SS&amp;C executives have described it as in beta, with production targeted within a few months. The same release introduces ConnectIQ, an AI advisor engagement platform for the retirement market that combines participant data from several sources and flags outreach opportunities with predictive analytics.</p><p><strong>Why it matters:</strong> An assistant that can rebalance and harvest tax lots puts action taking AI inside the portfolio workflow, so buyers should confirm what human approval applies before trades are generated. SS&amp;C says the new tools run on its AI Gateway governance platform, which is the place to ask how participant data is governed.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://investor.ssctech.com/news-releases/news-release-details/ssc-technologies-unveils-portfolio-ai-enabled-enhancements">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ssc-technologies">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Socotra released Configuration Assistant, an AI agent inside Configuration Studio that creates, updates and visualizes insurance product…</title>
      <link>https://aifintechindex.com/changelog/socotra</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd027f</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Socotra released Configuration Assistant, an AI agent inside Configuration Studio that creates, updates and visualizes insurance product configurations from natural language prompts, up to 3 uploaded requirement files (such as a filing) or an existing tenant configuration. It proposes a plan the user must confirm, shows the product as canvas and explorer views with plain language plugin code summaries, retries failed validation up to 5 times, and deploys to a new tenant or an existing test tenant.</p><p><strong>Why it matters:</strong> Carriers can now build and test products on the core themselves instead of relying on the Agentic Configuration implementation service Socotra has offered since 2025. Plan confirmation and the test tenant only deploy limit keep a person in the loop before anything reaches production, and the feature is off by default until a Socotra representative enables it.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://docs.socotra.com/other-resources/release-notes">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/socotra">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Vertafore released four new Velocity AI agents to early adopters: Document Intelligence Agent in ImageRight, Coach Agent inside AMS360 and…</title>
      <link>https://aifintechindex.com/changelog/vertafore</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733993f</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <description><![CDATA[<p>Vertafore released four new Velocity AI agents to early adopters: Document Intelligence Agent in ImageRight, Coach Agent inside AMS360 and Sagitta, Policy Intake Agent that extracts commercial policy data from source documents, writes it to the agency management system and creates an audit ready activity record, and Policy Check Agent that compares policy documents against AMS data and recommends corrections for user approval. General availability is scheduled between September and early fall 2026.</p><p><strong>Why it matters:</strong> Insurance agencies get AI that writes policy data into their system of record, so buyers should check which steps run without review (intake) and which require approval (policy corrections). Time savings are vendor early adopter figures with no stated method.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.vertafore.com/resources/press-releases/vertafore-unveils-agentic-agency-vision-accelerate-distribution-velocity">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/vertafore">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>INSTANDA's no code policy administration and distribution platform is now listed in Accelerant's Marketplace, giving MGAs and carriers in…</title>
      <link>https://aifintechindex.com/changelog/instanda</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339938</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>INSTANDA's no code policy administration and distribution platform is now listed in Accelerant's Marketplace, giving MGAs and carriers in the Accelerant network direct access to it. INSTANDA Clear, its governed workspace for underwriting referrals, exceptions and complex adjustments with automatic logging of every action, is also available through the listing.</p><p><strong>Why it matters:</strong> MGAs and carriers already in the Accelerant network get a vetted route to procure INSTANDA and Clear without a standalone vendor evaluation. The listing widens access to existing products rather than adding new function, and Accelerant's own listing page could not be opened to confirm it.</p><p>Impact: Low. Verification: Partially Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://instanda.com/news/accelerant-welcomes-instanda-into-its-marketplace">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/instanda">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Glia launched Glia Relationship Management, a built in AI CRM that joins voice, digital and branch interaction history with core banking…</title>
      <link>https://aifintechindex.com/changelog/glia</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339936</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Customer &amp; Banking Agents</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Glia launched Glia Relationship Management, a built in AI CRM that joins voice, digital and branch interaction history with core banking data such as balances, transactions, products and loans in one customer record. AI updates the record after every interaction, creates records for unmatched callers and chats, and puts a customer summary on the agent's screen when an interaction starts. The same release adds Glia Branch, which captures in person conversations and desktop activity for branch staff, feeds them into the same record, and gives staff real time AI guidance and governed agentic workflows.</p><p><strong>Why it matters:</strong> Banks and credit unions get one view of a member across the contact center, digital channels and the branch without a separate CRM project. Branch staff get the same AI assistance as the contact center, inside the same governance.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.glia.com/news/glia-introduces-banking-crm-and-branch-intelligence-to-supercharge-agentic-banking">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/glia">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Psympl and Experian published results from FreeStar Financial Credit Union, which used Experian Marketing Attributes to select 10,000…</title>
      <link>https://aifintechindex.com/changelog/psympl</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd027d</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Performance evidence</category>
      <category>Customer &amp; Banking Agents</category>
      <category>Wealth &amp; Advisory AI</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Psympl and Experian published results from FreeStar Financial Credit Union, which used Experian Marketing Attributes to select 10,000 prospects and Psympl Motivation Mindsets to tailor a 4 percent high yield savings campaign by direct mail and geotargeted digital ads. FreeStar reported $690,000 in new deposits within two weeks and $1.2 million within 30 days, a stated 3X return. It has since extended Motivation Activation into lending, reporting a 337 percent increase in first mortgage applications and an average loan size increase of more than $132,000, 2025 versus 2026.</p><p><strong>Why it matters:</strong> This is a named credit union with dollar and application figures, which lets banks and credit unions weigh psychographic targeting against their own deposit and lending campaign costs. The numbers are self reported by the institution and vendor, with no control group described.</p><p>Impact: Medium. Verification: Verified. Type: Performance evidence.</p><p>Evidence: <a href="https://www.psympl.com/media/freestar-financial-credit-union-generates-12-million-in-new-deposits-in-30-days-with-psympl-and-experian">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/psympl">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Verisk and Equifax introduced Inflection Homeowners, a credit based insurance score built for property insurers that uses trended credit…</title>
      <link>https://aifintechindex.com/changelog/verisk</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339932</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>alternative-data</category>
      <description><![CDATA[<p>Verisk and Equifax introduced Inflection Homeowners, a credit based insurance score built for property insurers that uses trended credit attributes instead of a point in time credit snapshot. It is aimed at homeowners underwriting, quoting and renewal decisions and extends the existing Inflection Auto model to property lines. Verisk states its own analyses show 2.6X lift between the lowest and highest risk bands.</p><p><strong>Why it matters:</strong> Homeowners carriers get a bureau codeveloped rating variable, and Verisk's product page says the model has been filed in most states and approved in a majority of those requiring filings, which shortens the path to rate use. The lift figure is vendor stated with no published method, so carriers still need to validate it on their own book.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.verisk.com/blog/a-new-era-in-homeowners-credit-risk-evaluation/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/verisk">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Marloo launched the Knowledge tab, a three layer knowledge base that shapes every meeting note, advice document and Ask Marloo answer it…</title>
      <link>https://aifintechindex.com/changelog/marloo</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733992e</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Wealth &amp; Advisory AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Marloo launched the Knowledge tab, a three layer knowledge base that shapes every meeting note, advice document and Ask Marloo answer it produces. A read only Regional layer maintained by Marloo holds regulatory, tax and rate references (FINRA Rules, CFP Board standards and FOMC rates in the US, the FCA Handbook in the UK), a Company layer lets firm admins set firm wide instructions and upload advice frameworks, compliance documents, approved wordings and disclaimers, and a User layer holds each adviser's own style within those limits. The help center says it is rolling out gradually as a beta and is included on Plus plans and above with unlimited company knowledge documents.</p><p><strong>Why it matters:</strong> Advice firms can write their compliance and house standards down once and have them applied when drafts are generated, with only admins able to change company rules, which shifts consistency checks from after the fact file sampling toward prevention. Buyers should confirm beta availability for their account before relying on it.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.marloo.com/us/blog/marloo-launches-knowledge-tab">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/marloo">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Cytora's 22 September 2026 release reports that Zurich Commercial Insurance's deployment of the Cytora agentic AI platform in mid market…</title>
      <link>https://aifintechindex.com/changelog/cytora</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339929</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Performance evidence</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Cytora's 22 September 2026 release reports that Zurich Commercial Insurance's deployment of the Cytora agentic AI platform in mid market underwriting now spans more than 20 countries, with digitization accuracy raised from below 80% to 98% and manual submission triage time cut by 80%. The 98% accuracy and 20+ country figures are new: Cytora's 18 May 2026 Zurich case study reported 95%+ accuracy across seven countries at the foundation stage and 11 live countries, and had already cited the 80% triage reduction.</p><p><strong>Why it matters:</strong> A named global insurer's figures give commercial insurers a reference point for extraction accuracy at multicountry, multilanguage scale. The release states no measurement method for the accuracy figure, so buyers should ask how it was measured.</p><p>Impact: Medium. Verification: Partially Verified. Type: Performance evidence.</p><p>Evidence: <a href="https://www.cytora.com/risk-flow-center/blog/zurich-and-cytora-win-2026-datos-impact-award-for-data-innovation-in-commercial-insurance">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/cytora">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>CLARA Analytics: CLARA launched Agentic Intelligence inside its CLARAty.ai platform: a set of AI agents that run on each complex casualty and workers' comp…</title>
      <link>https://aifintechindex.com/changelog/clara-analytics</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339928</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <description><![CDATA[<p>CLARA launched Agentic Intelligence inside its CLARAty.ai platform: a set of AI agents that run on each complex casualty and workers' comp claim from first notice of loss to resolution, tracking changes in severity, litigation potential, fraud risk and closure opportunities and recommending next steps. The agents expose score lineage and versioning, data freshness checks, cohort drill downs, scoring rationale tied to specific claim documents and fields, and a conversational agent over structured and unstructured claim data, while adjusters keep the final decision.</p><p><strong>Why it matters:</strong> The product moves from surfacing risk scores to recommending and helping carry out claim actions, so carriers and TPAs should confirm which actions still require adjuster sign off. The per score rationale and data lineage give claims audit and model risk teams an evidence trail they can review.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://claraanalytics.com/news/clara-analytics-unveils-industrys-first-end-to-end-agentic-claims-intelligence-platform/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/clara-analytics">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>BriteCore released an FNOL Copilot that takes first notice of loss through conversation, validates policy coverage and creates the claim…</title>
      <link>https://aifintechindex.com/changelog/britecore</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339927</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>BriteCore released an FNOL Copilot that takes first notice of loss through conversation, validates policy coverage and creates the claim record in real time. It expanded its Submission Intake Copilot into a multi agent Submission and Quote Copilot that ingests applications, schedules of values and loss runs, flags missing data, applies rating and checks carrier appetite to produce a quotable policy. The same release adds an Underwriting Workbench inside the policy administration platform, where underwriting rules and system events create, prioritize and route work.</p><p><strong>Why it matters:</strong> Carriers and MGAs on BriteCore get AI help at intake, quoting and claims without adding a separate vendor, and employees still approve the next steps the copilots recommend. The workbench puts underwriting decisions, work queues and policy communications in one place.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.britecore.com/resources/britecore-introduces-ai-copilots-underwriting-workbench-and-open-agentic-core-to-advance-core-insurance-platform-innovation">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/britecore">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Infrrd launched IDPForge, a self serve document automation API for developers.</title>
      <link>https://aifintechindex.com/changelog/infrrd</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aaeac5261f1cb06e5aba083</guid>
      <pubDate>Thu, 17 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Infrrd launched IDPForge, a self serve document automation API for developers. It routes each processing stage to a chosen model, supports bring your own key for model providers, includes an embeddable correction interface, and runs a continuous learning loop scoped to each customer's own data.</p><p><strong>Why it matters:</strong> Bring your own key lets a lender keep model spend and data processing under its own provider agreements, which simplifies vendor risk reviews. The learning loop scoped to one customer's data is the other detail to get in writing: it means one lender's corrections never train another's extraction.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.businesswire.com/news/home/20260917986862/en/Infrrd-Launches-IDPForge-a-Self-Serve-Document-Automation-API-for-Developers">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/infrrd">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Aptus.AI launched Next-OS, a platform that turns legal and regulatory texts into structured data to automate compliance work such as…</title>
      <link>https://aifintechindex.com/changelog/aptus-ai</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aaeac5261f1cb06e5aba081</guid>
      <pubDate>Thu, 17 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Aptus.AI launched Next-OS, a platform that turns legal and regulatory texts into structured data to automate compliance work such as checking rules, tracking amendments and mapping regulatory impact. Aptus.AI reports that one large organization cut legal opinion preparation time by 50 to 60 percent across about 110 opinions a month.</p><p><strong>Why it matters:</strong> Regulatory change management is where compliance teams lose the most hours to reading. The efficiency figure comes from a single unnamed client and is vendor reported, so treat it as a claim to test on the buyer's own rulebook rather than a benchmark.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://ffnews.com/news/italian-fintech-aptus-ai-brings-ai-from-assistance-to-execution-in-regulated-ind-e9de30e1">Trade press</a></p><p>Source: <a href="https://aifintechindex.com/changelog/aptus-ai">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Earnix launched Agent Hub, a curated catalog of more than 25 insurance specific AI agents and apps inside Earnix AIOS, its AI…</title>
      <link>https://aifintechindex.com/changelog/earnix</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aaeac5261f1cb06e5aba07c</guid>
      <pubDate>Thu, 17 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Lending &amp; Banking Operations</category>
      <description><![CDATA[<p>Earnix launched Agent Hub, a curated catalog of more than 25 insurance specific AI agents and apps inside Earnix AIOS, its AI Orchestration System. Earnix says the agents work within pricing and rating, underwriting and customer engagement solutions, drawing context from policy administration systems, data platforms and underwriting workbenches under defined permissions, traceability and human oversight. Fourteen were demonstrated at Earnix Excelerate London; examples include Model Feature Mapper, which connects model features to the appropriate data variables for pricing and actuarial teams, Product Expert Advisor and Premium Explainer.</p><p><strong>Why it matters:</strong> This is Earnix moving from recommending a price to acting inside the workflow that sets it. Pricing is a regulated decision in most markets, so the permissions and traceability claims are the ones to test. Ask which agents can change a live rate, and what record each action leaves for a rate filing.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://earnix.com/newsroom/press-releases/earnix-brings-agentic-ai-to-insurance-decisioning">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/earnix">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>V7 Go moved chats onto Go Agent V2, which carries a model picker and a reasoning setting so a lookup and a long analysis need not run the…</title>
      <link>https://aifintechindex.com/changelog/v7-go</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aaeac5261f1cb06e5aba088</guid>
      <pubDate>Wed, 16 Sep 2026 12:00:00 GMT</pubDate>
      <category>Model / architecture</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Insurance AI</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <description><![CDATA[<p>V7 Go moved chats onto Go Agent V2, which carries a model picker and a reasoning setting so a lookup and a long analysis need not run the same way. GPT-6 Astra, Gemini 3.7 Flash and Gemini 3.8 Flash are selectable and Gemini 2.5 Pro is retired, and the settings tooltip now names the concrete model rather than a generic label. The same release keeps every turn of a run with each tool call stored beside the result it returned, attributes answers by the text they quote, and records an MCP tool invocation as user activity with the sign in route behind it.</p><p><strong>Why it matters:</strong> The named model and the complete transcript are the parts a model risk team should care about. Knowing exactly which model produced an extraction is where any validation record starts, and a platform that swaps models behind a generic label makes that impossible. Attributing a tool call back to a person is the other control a second line will ask for.</p><p>Impact: Medium. Verification: Verified. Type: Model / architecture.</p><p>Evidence: <a href="https://www.v7labs.com/changelog">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/v7-go">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Marloo introduced Ask Marloo, which lets financial advisers and support staff query their whole client book.</title>
      <link>https://aifintechindex.com/changelog/marloo</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aaeac5261f1cb06e5aba087</guid>
      <pubDate>Wed, 16 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Wealth &amp; Advisory AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Marloo introduced Ask Marloo, which lets financial advisers and support staff query their whole client book. Answers draw on meetings, documents, emails and other records held across the firm's systems.</p><p><strong>Why it matters:</strong> The use case is the inherited book: an adviser taking over clients needs their history without reading years of files. Ask what each answer cites, because an adviser relying on a summary of past advice needs to see the record behind it.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://fintech.global/2026/09/16/marloo-launches-ask-marloo-to-boost-adviser-efficiency/">Trade press</a></p><p>Source: <a href="https://aifintechindex.com/changelog/marloo">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>CUBE's regulatory intelligence now powers a new Regulatory Horizon Scanning capability inside IBM watsonx.governance.</title>
      <link>https://aifintechindex.com/changelog/cube</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aaeac5261f1cb06e5aba084</guid>
      <pubDate>Wed, 16 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>CUBE's regulatory intelligence now powers a new Regulatory Horizon Scanning capability inside IBM watsonx.governance. It monitors AI related developments from regulators, legislators and standards bodies and surfaces them in the governance workflow, where teams can map a change to an AI use case and keep a record of how it was assessed.</p><p><strong>Why it matters:</strong> Banks and insurers are starting to track AI regulation alongside their model inventories, mostly by hand. This puts the regulatory feed beside the inventory with a trail of each assessment. It lives inside IBM's product, so it only helps firms already running watsonx.governance.</p><p>Impact: Medium. Verification: Partially Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://fintech.global/2026/09/16/cube-and-ibm-target-ai-regulatory-blind-spot/">Trade press</a></p><p>Source: <a href="https://aifintechindex.com/changelog/cube">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>SS&amp;C Technologies: SS&amp;C Black Diamond is one of the connectors in Anthropic's Claude for Financial Advisors, bringing portfolio, performance, holdings and…</title>
      <link>https://aifintechindex.com/changelog/ssc-technologies</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aaeac5261f1cb06e5aba096</guid>
      <pubDate>Mon, 14 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Wealth &amp; Advisory AI</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>SS&amp;C Black Diamond is one of the connectors in Anthropic's Claude for Financial Advisors, bringing portfolio, performance, holdings and rebalancing data into Claude for advisers who use Black Diamond.</p><p><strong>Why it matters:</strong> For Black Diamond firms, this puts portfolio reporting data in front of an assistant that can also draft the client letter. Rebalancing is the sensitive part: check whether the connector only reads, or can stage trades for review.</p><p>Impact: Medium. Verification: Partially Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://www.wealthmanagement.com/artificial-intelligence/anthropic-launches-claude-for-financial-advisors">Trade press</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ssc-technologies">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Sapiens launched the Sapiens Autonomous Insurance Platform, SapiensAIP, a SaaS platform that brings agentic tools into its core policy…</title>
      <link>https://aifintechindex.com/changelog/sapiens</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aaeac5261f1cb06e5aba092</guid>
      <pubDate>Mon, 14 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Sapiens launched the Sapiens Autonomous Insurance Platform, SapiensAIP, a SaaS platform that brings agentic tools into its core policy administration systems across underwriting, policy, billing, claims and customer engagement. Its Migration Hub ingests legacy files as they are, proposes data mappings with confidence scores for experts to review, and keeps each transformation reversible.</p><p><strong>Why it matters:</strong> Core system migration is where insurance modernization budgets run over, so the Migration Hub is the most consequential piece here. Confidence scored mappings with human review is the right shape. Ask for results from a completed migration, since the first named customer is still evaluating.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://sapiens.com/us/newsroom/sapiens-announces-its-ai-native-autonomous-insurance-platform-sapiensaip">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/sapiens">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Insurity launched Ratio Content and Rating Engine, an API first regulatory content and externalised rating engine for admitted commercial…</title>
      <link>https://aifintechindex.com/changelog/insurity</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aa59cfefda3e35d7b278ae8</guid>
      <pubDate>Wed, 09 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <category>alternative-data</category>
      <description><![CDATA[<p>Insurity launched Ratio Content and Rating Engine, an API first regulatory content and externalised rating engine for admitted commercial property and casualty carriers. It ingests machine readable bureau content from ISO, NCCI and AAIS, applies carrier specific deviations, and delivers rating, forms and stat code logic to downstream policy systems through a single API. Insurity says carriers can implement regulatory changes up to four times faster and rate complex commercial policies in seconds.</p><p><strong>Why it matters:</strong> Bureau circulars are the reason commercial rating changes take quarters, because every carrier re keys the same ISO and NCCI content into its own engine. Externalising that into one API is the structural fix, and the vendor claim to test is the deviation layer: whether a carrier's own filed exceptions survive a bureau update without manual rework.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://insurity.com/press-release/insurity-announces-ratio-content-and-rating-engine-to-connect-bureau-content-to-production-ready-policy-logic-and-accelerate-commercial-rating">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/insurity">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Feathery's September platform update introduces Robin, an AI assistant that generates complete workflows, forms and integrations from a…</title>
      <link>https://aifintechindex.com/changelog/feathery</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aa59cfefda3e35d7b278ae7</guid>
      <pubDate>Wed, 09 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <category>Wealth &amp; Advisory AI</category>
      <description><![CDATA[<p>Feathery's September platform update introduces Robin, an AI assistant that generates complete workflows, forms and integrations from a natural language description. The same release adds native e signature for multiple signers, live meeting transcripts, a Japan data residency region, and public API changes that return timestamps on field values.</p><p><strong>Why it matters:</strong> Robin is the headline, but for a regulated buyer the Japan region and the field level timestamps are the parts with compliance weight: one answers a residency question that used to end the conversation, the other gives an audit trail on when a value was entered. Treat the workflow generation as a draft to review, the way a firm would treat a junior analyst's first build.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.feathery.io/product-updates">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/feathery">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>BriteCore announced support for headless core deployments for property and casualty insurers.</title>
      <link>https://aifintechindex.com/changelog/britecore</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aa59cfefda3e35d7b278ae5</guid>
      <pubDate>Wed, 09 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>BriteCore announced support for headless core deployments for property and casualty insurers. In this model BriteCore runs as the transactional backbone for policy, billing and claims while an insurer's own underwriting workbench, agent and customer experiences, rating engine and distribution systems interact with it through governed interfaces, so a carrier can modernize the core without giving up the front end applications it has built.</p><p><strong>Why it matters:</strong> Most core replacements fail on the front end, not the ledger, because the applications a carrier built over a decade are where its differentiation and its agent relationships live. A headless option changes the negotiation: the insurer keeps what it built and swaps what it does not want to maintain. Ask which interfaces are governed today and which are on the roadmap.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.globenewswire.com/news-release/2026/09/09/3358546/0/en/britecore-introduces-headless-core-deployment-option-for-p-c-insurers.html">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/britecore">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Convr introduced DocData for commercial brokers, carriers and MGAs.</title>
      <link>https://aifintechindex.com/changelog/convr</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aa59cfefda3e35d7b278ae1</guid>
      <pubDate>Tue, 08 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Convr introduced DocData for commercial brokers, carriers and MGAs. A user uploads up to three submission attachments, such as ACORD forms, loss runs and statements of values, and receives a risk summary within minutes covering operational characteristics, exposures, loss history and inconsistencies in the documents. First time users get five submissions free within five days.</p><p><strong>Why it matters:</strong> This is Convr's underwriting workbench intake step unbundled into something a broker can try without a procurement cycle, which is a distribution move as much as a product one. The free trial on real submissions is the useful part for a buyer: run five accounts the team already knows and judge the read against its own file notes.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.prnewswire.com/news-releases/convr-launches-docdata-propelling-submission-excellence-and-intelligence-for-carriers-mgas-and-brokers-302872382.html">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/convr">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Verisk released a US Data Center Exposure Database covering more than 2,500 facilities, available through Synergy Studio and Touchstone.</title>
      <link>https://aifintechindex.com/changelog/verisk</link>
      <guid isPermaLink="false">aifintechindex.com:change:6a9c336e7514e65477e3d08d</guid>
      <pubDate>Fri, 04 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>alternative-data</category>
      <description><![CDATA[<p>Verisk released a US Data Center Exposure Database covering more than 2,500 facilities, available through Synergy Studio and Touchstone. It carries rooftop level geocoding, structural and operational detail such as construction type, floor area, capacity and redundancy, building footprint shapefiles and a 90 meter disaggregation grid, with Verisk noting available fields differ by facility and data source.</p><p><strong>Why it matters:</strong> Data centers have become a concentrated, high value and poorly modeled exposure class in a short space of time, and accumulation risk around them is currently estimated rather than measured. A footprint level dataset is what turns that into an underwriting input, and the disclosed grid resolution is specific enough to judge whether it is fine grained enough for accumulation work. The caveat that field coverage varies by facility is the one that decides whether a portfolio can actually be run through it.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://beinsure.com/news/verisk-launches-us-data-center-exposure-database-for-insurers/">Trade press</a></p><p>Source: <a href="https://aifintechindex.com/changelog/verisk">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Marloo agreed to bring Morningstar investment data and research into its adviser platform, pulling the content from the Morningstar MCP…</title>
      <link>https://aifintechindex.com/changelog/marloo</link>
      <guid isPermaLink="false">aifintechindex.com:change:6a9c336e7514e65477e3d087</guid>
      <pubDate>Wed, 02 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Wealth &amp; Advisory AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Marloo agreed to bring Morningstar investment data and research into its adviser platform, pulling the content from the Morningstar MCP Server so fund and model portfolio data can be queried in natural language through Ask Marloo.</p><p><strong>Why it matters:</strong> Licensing a recognized data provider is the fastest way for an advice platform to answer the question every compliance officer asks, which is where the numbers came from. Sourcing it over an MCP server rather than a batch feed is the more interesting detail, since it makes the currency of the data a live dependency. The natural language layer is convenient and is also the part that needs testing, because a fund comparison generated conversationally still has to survive being put in front of a client.</p><p>Impact: Medium. Verification: Partially Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://fintech.global/2026/09/02/marloo-integrates-morningstar-data-into-ai-advice-platform/">Trade press</a></p><p>Source: <a href="https://aifintechindex.com/changelog/marloo">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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