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    <title>AI FinTech Index: Credit Decisioning &amp; Underwriting changes</title>
    <link>https://aifintechindex.com/categories/credit-decisioning</link>
    <atom:link href="https://aifintechindex.com/feeds/credit-decisioning.xml" rel="self" type="application/rss+xml" />
    <description>Material product changes at Credit Decisioning &amp; Underwriting 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>Sat, 26 Sep 2026 12:00:00 GMT</lastBuildDate>
    <ttl>720</ttl>
    <image>
      <url>https://aifintechindex.com/icon-192.png</url>
      <title>AI FinTech Index: Credit Decisioning &amp; Underwriting changes</title>
      <link>https://aifintechindex.com/categories/credit-decisioning</link>
    </image>
    <item>
      <title>AI Rudder published self evaluated τ-voice benchmark results for its voice agent: 83.89% pass@1 with the Standard customer simulator (237…</title>
      <link>https://aifintechindex.com/changelog/ai-rudder</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339957</guid>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <category>Performance evidence</category>
      <category>Customer &amp; Banking Agents</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>AI Rudder published self evaluated τ-voice benchmark results for its voice agent: 83.89% pass@1 with the Standard customer simulator (237 of 278 tasks) and 88.82% with the Custom simulator (250 of 278 tasks) across retail, airline and telecom, above the prior published best of 81.72% and 86.23%. The post discloses the evaluated stack (Deepgram nova-3 speech recognition, gemini-3.7-flash, ElevenLabs flash v2.5 speech, no training or fine tuning) and the runtime controls around the model, including an enabled check that blocks a repeated identical tool write within a turn.</p><p><strong>Why it matters:</strong> Lenders running voice agents on collections and payment calls need evidence the agent completes account actions once and correctly, and this gives a stated method and a named model stack to test against. The scores are self reported, exclude the τ-voice Banking domain, and were not on the official leaderboard when checked.</p><p>Impact: Medium. Verification: Partially Verified. Type: Performance evidence.</p><p>Evidence: <a href="https://airudder.com/beyond-the-model-building-a-harness-for-a-voice-agent/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ai-rudder">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>Lendflow launched a hosted Model Context Protocol (MCP) server that connects a customer's Lendflow environment to AI assistants, available…</title>
      <link>https://aifintechindex.com/changelog/lendflow</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339953</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Lending &amp; Banking Operations</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <description><![CDATA[<p>Lendflow launched a hosted Model Context Protocol (MCP) server that connects a customer's Lendflow environment to AI assistants, available as a Lendflow plugin in ChatGPT and as a custom connector in Claude and Grok. Authenticated users can query applications, offers, funders and statuses in natural language and can also take write actions, including creating applications, adding notes and uploading documents, with the available actions set by the user's Lendflow permissions and configuration.</p><p><strong>Why it matters:</strong> Lenders, brands and brokers can work loan files from the AI assistant their staff already use without building or hosting their own MCP infrastructure. Because the connector can create applications and upload documents, risk and operations teams should review which roles get that write access through an assistant.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://www.lendflow.com/post/lendflow-mcp-is-now-live-on-chatgpt-claude-and-grok">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/lendflow">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>Bureau introduced Adaptive Authentication, which rescores risk continuously through a customer session using identity graph, behavioral…</title>
      <link>https://aifintechindex.com/changelog/bureau</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733994f</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Bureau introduced Adaptive Authentication, which rescores risk continuously through a customer session using identity graph, behavioral, device, and location and network signals instead of deciding once at login. When risk rises at moments such as beneficiary addition or a high value transfer, the platform can trigger step up authentication (MFA, face or biometric checks) or block the session, and session signals feed Bureau's Graph Identity Network.</p><p><strong>Why it matters:</strong> Banks fighting account takeover and authorized push payment fraud get in session step up decisions from the same engine used for onboarding. The pilot figures (50 to 60% more high risk fraud detected, 5 to 6% fewer false positives, step up on 1 in 70 sessions) come from unnamed tier 1 banks with no stated method, so ask for the evaluation design.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://bureau.id/resources/blog/adaptive-authentication-risk-decisioning-that-responds-to-a-session%E2%80%99s-changing-risk">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/bureau">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>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>Baselayer replaced GET /autocomplete with a session based Autocomplete API: the backend mints a short lived session with POST…</title>
      <link>https://aifintechindex.com/changelog/baselayer</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339940</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Baselayer replaced GET /autocomplete with a session based Autocomplete API: the backend mints a short lived session with POST /autocomplete/sessions and the browser calls GET /autocomplete/businesses on each keystroke, so the API key never reaches the client. Each suggestion now describes a canonical business with its officers, registered agents, addresses and liens, and carries a token valid for 15 minutes that is redeemed as business_token on POST /searches. A JavaScript/TypeScript SDK with a ready made typeahead component handles session refresh and retries, and the old route was set to stop working on 25 September.</p><p><strong>Why it matters:</strong> Onboarding flows that use business typeahead had one day of notice to migrate, and the new token ties the KYB search to exactly the business the applicant picked, which cuts mismatched entity searches. Keeping the API key server side also removes a credential exposure risk in client side integrations.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://docs.baselayer.com/changelog/get-autocomplete-replaced-by-get-autocomplete-businesses">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/baselayer">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>Pave added eleven consumer cashflow attributes that break gambling activity out by kind, covering sweepstakes casinos, sports betting…</title>
      <link>https://aifintechindex.com/changelog/pave</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733993d</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Lending &amp; Banking Operations</category>
      <description><![CDATA[<p>Pave added eleven consumer cashflow attributes that break gambling activity out by kind, covering sweepstakes casinos, sports betting, lotteries and prediction markets, instead of reporting a single gambling total. The new fields include sweepstakes casino payment amounts, counts, recency, share, income ratio and monthly trend, plus each subtype's ratio to total gambling and a count of gambling subtypes used.</p><p><strong>Why it matters:</strong> Lenders can weigh sweepstakes casino and prediction market spend separately from lottery spend in their own risk and affordability models, rather than relying on one blended gambling figure.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://docs.pavefi.com/guides/changelog#september-23-2026">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/pave">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>Prism Data's analytics suite, including CashScore, Income Intelligence and Insights Attributes, is now available inside Engine by Gen's…</title>
      <link>https://aifintechindex.com/changelog/prism-data</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd027c</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <description><![CDATA[<p>Prism Data's analytics suite, including CashScore, Income Intelligence and Insights Attributes, is now available inside Engine by Gen's embedded finance platform. Financial product providers on Engine's 1,300 partner network can apply Prism's cash flow analytics to bank data consumers have permissioned on the Engine platform, for credit evaluation, income assessment and product matching without extra applicant steps.</p><p><strong>Why it matters:</strong> Lenders already on Engine can use cash flow scores and income data at the marketing and prequalification stage, before a formal application, without building a separate Prism integration.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://www.prismdata.com/blog/prism-data-joins-engine-by-gen-embedded-finance-platform/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/prism-data">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>Tidalwave added HELOC support to its SOLO AI origination platform as a separate product line rather than a setting on the mortgage flow.</title>
      <link>https://aifintechindex.com/changelog/tidalwave</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339931</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Customer &amp; Banking Agents</category>
      <description><![CDATA[<p>Tidalwave added HELOC support to its SOLO AI origination platform as a separate product line rather than a setting on the mortgage flow. SOLO's agentic AI runs a HELOC specific borrower intake, keeps the approved credit line and initial draw as separate figures, calculates draw and repayment period math, validates that the initial draw stays within the approved line, records the correct lien position, and passes HELOC specific terms into the LOS.</p><p><strong>Why it matters:</strong> Lenders adding home equity volume while refinance demand is weak can run second lien HELOCs through the same AI intake and LOS handoff instead of forcing them through first lien forms and manual rekeying. The post names no live lender deployments, so buyers should confirm availability and LOS coverage (the tech specs list ICE Encompass and Calyx Path).</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.tidalwave.com/blog/how-we-built-heloc">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/tidalwave">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>Fiddler AI: Fiddler Release 26.20 made a new Fiddler hosted model, Ministral 3 8B (fiddler/ministral3-8b), generally available for prebuilt LLM as a…</title>
      <link>https://aifintechindex.com/changelog/fiddler-ai</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733992d</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Model / architecture</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Fiddler Release 26.20 made a new Fiddler hosted model, Ministral 3 8B (fiddler/ministral3-8b), generally available for prebuilt LLM as a Judge and Custom Judge evaluators, with Fiddler stating it gives more accurate judgments and reasoning at a runtime comparable to its other hosted models. The same release refreshed the LLM Gateway catalog (adding gpt-5.6-luna and gemini-3.8-flash) and removed gpt-5.6, claude-opus-5 and claude-fable-5 from the built in list across OpenAI, Anthropic, Vertex AI and Azure AI.</p><p><strong>Why it matters:</strong> Model risk teams that use Fiddler judge scores as monitoring evidence now have a named, versioned judge model to record in model documentation. Evaluators pointed at the removed gateway models must be repointed or added back as custom models, which affects validation continuity.</p><p>Impact: Medium. Verification: Verified. Type: Model / architecture.</p><p>Evidence: <a href="https://docs.fiddler.ai/changelog/product-releases#september-22-2026">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/fiddler-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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    <item>
      <title>Baselayer launched its Agentic Identity Suite, extending its business verification and risk infrastructure to AI agents that transact on…</title>
      <link>https://aifintechindex.com/changelog/baselayer</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339925</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Baselayer launched its Agentic Identity Suite, extending its business verification and risk infrastructure to AI agents that transact on behalf of people and businesses. The suite groups Know Your Agent (verifying which platform runs an agent, which person or business delegated it, and whether that delegation can be proven), Counterparty Verification, and a Trusted Registry of verified businesses and authorized agents, alongside the MCP released on 8 September.</p><p><strong>Why it matters:</strong> Banks and payment firms facing agent initiated account opening or payments get a vendor option for tying each agent action to a verified principal with an auditable delegation record. No public API documentation or pricing for Know Your Agent was found, so buyers should confirm what is generally available before planning around it.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.prnewswire.com/news-releases/baselayer-raises-35m-series-a-led-by-m13-launches-identity-infrastructure-for-ai-agents-302885670.html">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/baselayer">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>Sardine launched Agent Routines, which let customers schedule any agent in Agent Hub, including the Data Analyst Agent and Custom Risk…</title>
      <link>https://aifintechindex.com/changelog/sardine</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd027a</guid>
      <pubDate>Mon, 21 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Sardine launched Agent Routines, which let customers schedule any agent in Agent Hub, including the Data Analyst Agent and Custom Risk Agents, to run hourly, daily, monthly or on demand and send findings to a notification inbox ranked by severity. Sardine says Routines and an underlying agent harness, which carries memory between runs and governs which tools and data an agent can touch, are live across its AI agents. Basic agent scheduling was previewed in the 14 Sep Agent Hub post; the named product, severity inbox and harness are new in this release.</p><p><strong>Why it matters:</strong> Recurring fraud and AML reviews such as card testing scans, EDD cohorts and sanctions rescreening can now run without an analyst starting them, so buyers need to decide which findings route to mandatory human review and which follow ups the agent may apply on its own. Sardine states each scheduled run is logged with cited evidence, which supports exam and model risk documentation.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.sardine.ai/blog/agent-routines">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/sardine">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>nCino published a case study on OSB Group, a UK specialist mortgage lender that rebuilt its lending platform on nCino with Mambu and…</title>
      <link>https://aifintechindex.com/changelog/ncino</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339922</guid>
      <pubDate>Mon, 21 Sep 2026 12:00:00 GMT</pubDate>
      <category>Performance evidence</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>nCino published a case study on OSB Group, a UK specialist mortgage lender that rebuilt its lending platform on nCino with Mambu and Publicis Sapient. It reports mortgage offers in under 2 hours from application, AIP decisioning in under 10 minutes, offer to completion cut from 44 to 22 days, and broker fields required for AIP cut from 100+ to fewer than 50.</p><p><strong>Why it matters:</strong> Gives lenders named time to decision and time to completion figures from a live UK deployment; the earlier December 2025 account cited offers in under 24 hours, so the 2 hour and 44 to 22 day figures are new. Results are shared with Mambu and Publicis Sapient and no measurement method is stated.</p><p>Impact: Medium. Verification: Partially Verified. Type: Performance evidence.</p><p>Evidence: <a href="https://www.ncino.com/blog/osb-group-digital-mortgage-transformation">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ncino">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>Abrigo added an AI tool to Abrigo Allowance, its CECL solution, that automates the calculation and reporting of expected credit losses.</title>
      <link>https://aifintechindex.com/changelog/abrigo</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aaeac5261f1cb06e5aba080</guid>
      <pubDate>Thu, 17 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Lending &amp; Banking Operations</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Abrigo added an AI tool to Abrigo Allowance, its CECL solution, that automates the calculation and reporting of expected credit losses. It writes narratives that explain what changed between calculation periods and which factors drove the movement.</p><p><strong>Why it matters:</strong> The narrative is the part auditors and boards actually read, and it is usually written by hand at quarter end. An AI written narrative only saves that time if it is traceable, so ask whether each statement links back to the model inputs behind it.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://fintech.global/2026/09/17/abrigo-bets-on-ai-to-cut-cecl-workload-for-banks/">Trade press</a></p><p>Source: <a href="https://aifintechindex.com/changelog/abrigo">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>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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    <item>
      <title>Personetics launched Banking Console, which gives relationship managers a daily ranked list of customers who need attention, why, and what…</title>
      <link>https://aifintechindex.com/changelog/personetics</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aaeac5261f1cb06e5aba089</guid>
      <pubDate>Tue, 15 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Customer &amp; Banking Agents</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Wealth &amp; Advisory AI</category>
      <description><![CDATA[<p>Personetics launched Banking Console, which gives relationship managers a daily ranked list of customers who need attention, why, and what to say. It layers Personetics' customer intelligence onto the CRM the bank already uses, including Salesforce and Microsoft Dynamics, and lets the bank set priorities such as growth or retention that shape each banker's plan.</p><p><strong>Why it matters:</strong> Personetics has sold this intelligence into digital channels for years; this puts it on the banker's desk for the first time. The bank configuration page is the lever to examine, because whoever sets those priorities is effectively deciding which customers get a call.</p><p>Impact: High. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.openbankingexpo.com/news/personetics-unveils-ai-driven-banker-enablement-product-banking-console/">Trade press</a></p><p>Source: <a href="https://aifintechindex.com/changelog/personetics">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>Built Technologies: Built's September release for CLA+ adds Automatic Draw Submission in the Sponsored Borrower Portal, which separates, labels and matches…</title>
      <link>https://aifintechindex.com/changelog/built-technologies</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aaeac5261f1cb06e5aba093</guid>
      <pubDate>Mon, 14 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Built's September release for CLA+ adds Automatic Draw Submission in the Sponsored Borrower Portal, which separates, labels and matches borrower documents to lender requirements. It also adds deferred rules, approver groups, finer control over funding notice PDFs, and inspection data inside the draw budget so draws can be checked against verified progress.</p><p><strong>Why it matters:</strong> Construction draws are paper heavy and slow, and every day a draw waits costs the borrower. Checking a draw against inspected progress inside the budget is a control lenders have been doing by hand; ask how Built handles a mismatch between the inspection and the request.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://getbuilt.com/blog/september-2026-release">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/built-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>Oscilar's September product update introduces an AI Workflow Copilot that builds and queries risk rules from plain English prompts…</title>
      <link>https://aifintechindex.com/changelog/oscilar</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aa59cfefda3e35d7b278af3</guid>
      <pubDate>Fri, 11 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Oscilar's September product update introduces an AI Workflow Copilot that builds and queries risk rules from plain English prompts, alongside workflow testing that adds single rule testing, backtesting against historical data and a clear diff view before a change goes live. The release also ships version 2.1 of its AML alert scoring model, a 50 percent improvement in P99 latency, and nine new integrations.</p><p><strong>Why it matters:</strong> The copilot writes the rule, but backtesting and the diff view are what let a risk team ship it without a change control argument, because a rule change with a measured historical effect and a visible diff is a rule change with an audit trail. The AML scoring model version is worth logging on its own: a bumped model version is exactly the disclosure model risk teams ask vendors for and rarely get.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://oscilar.com/blog/september-product-update">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/oscilar">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>TidalWave expanded its integration with Argyle to route borrower permissioned payroll and bank account data directly into the Encompass…</title>
      <link>https://aifintechindex.com/changelog/tidalwave</link>
      <guid isPermaLink="false">aifintechindex.com:change:6aa59cfefda3e35d7b278af0</guid>
      <pubDate>Thu, 10 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Customer &amp; Banking Agents</category>
      <description><![CDATA[<p>TidalWave expanded its integration with Argyle to route borrower permissioned payroll and bank account data directly into the Encompass loan origination system. TidalWave's agents parse the data to calculate eligible income and assets and flag risk indicators, including buy now pay later obligations that do not appear on a credit report.</p><p><strong>Why it matters:</strong> Encompass is where most of these lenders live, so an integration that lands inside it rather than beside it is the one that gets used. The buy now pay later detection is the detail with underwriting consequence: it is the undisclosed obligation category that has grown fastest and that a standard tri merge report does not see.</p><p>Impact: Medium. Verification: Partially Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://nationalmortgageprofessional.com/news/tidalwave-argyle-bring-borrower-financial-data-encompass">Trade press</a></p><p>Source: <a href="https://aifintechindex.com/changelog/tidalwave">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>Alloy launched the Alloy Marketplace, merging its Partner Center and Policy Library into one hub carrying over 270 partner integrations…</title>
      <link>https://aifintechindex.com/changelog/alloy</link>
      <guid isPermaLink="false">aifintechindex.com:change:6a9c336e7514e65477e3d088</guid>
      <pubDate>Thu, 03 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Alloy launched the Alloy Marketplace, merging its Partner Center and Policy Library into one hub carrying over 270 partner integrations alongside pre built decisioning snippets with a guided merge flow and conflict detection. The Attribute Tool reached general availability, letting customers browse, build, test and modify custom attributes from partner API responses themselves, with a per-integration changelog of every change.</p><p><strong>Why it matters:</strong> The Attribute Tool is the significant half. Needing a support ticket to create an attribute is the kind of dependency that turns a two day integration into a two month one, and removing it changes how fast a risk team can test a new data vendor. Pre built decisioning logic is useful and carries the usual caveat that a borrowed policy still has to be defensible as your own.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.alloy.com/blog/product-updates-august-2026">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/alloy">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>MioTech signed definitive agreements to combine with the green finance and ESG business of CCX Group, forming CCX-MioTech.</title>
      <link>https://aifintechindex.com/changelog/miotech</link>
      <guid isPermaLink="false">aifintechindex.com:change:6a9c336e7514e65477e3d081</guid>
      <pubDate>Tue, 01 Sep 2026 12:00:00 GMT</pubDate>
      <category>Acquisition / corporate</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>MioTech signed definitive agreements to combine with the green finance and ESG business of CCX Group, forming CCX-MioTech. The first stated technical output of the combination is a Model Context Protocol service exposing the group's sustainability data and evaluation methodologies to clients' own AI assistants and internal systems.</p><p><strong>Why it matters:</strong> Shipping an MCP service as the first artifact of a combination says the merged entity expects to be queried rather than logged into, which is the right read of where ESG reporting work actually happens. Compliance teams can pull multi tier supply chain data and ratings frameworks into their own tooling instead of exporting from a portal.</p><p>Impact: High. Verification: Partially Verified. Type: Acquisition / corporate.</p><p>Evidence: <a href="https://onestopesg.com/esg-news/miotech-ccx-group-combination-esg-ai">Trade press</a></p><p>Source: <a href="https://aifintechindex.com/changelog/miotech">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>Candor Technology: Candor launched Candor DI, a document intelligence engine handling touchless indexing, classification and extraction for loan files.</title>
      <link>https://aifintechindex.com/changelog/candor-technology</link>
      <guid isPermaLink="false">aifintechindex.com:change:6a9c336e7514e65477e3d07f</guid>
      <pubDate>Tue, 01 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Lending &amp; Banking Operations</category>
      <description><![CDATA[<p>Candor launched Candor DI, a document intelligence engine handling touchless indexing, classification and extraction for loan files. Candor states it runs deterministic cross source validation to reconcile data across paystubs, tax returns, credit reports and the URLA, and deploys standalone, through open APIs, or as the intake front end to Candor's Loan Engineering System.</p><p><strong>Why it matters:</strong> Deterministic is the operative word. Reconciling income across four documents with a probabilistic model produces an answer a lender cannot defend in an audit, and the claim here is that the reconciliation is rule based even where the extraction is not. Catching a mismatch at intake rather than as an underwriting condition is where the cycle time actually comes out.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.globenewswire.com/news-release/2026/09/01/3354414/0/en/candor-technology-launches-candor-di-to-identify-and-correct-loan-data-discrepancies-before-underwriting.html">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/candor-technology">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>Obin AI: The Obin Financial Agent is now available inside Google Cloud's Gemini Enterprise for Financial Services.</title>
      <link>https://aifintechindex.com/changelog/obin-ai</link>
      <guid isPermaLink="false">aifintechindex.com:change:6a92dfc45a5d4a0c898d283b</guid>
      <pubDate>Tue, 25 Aug 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>The Obin Financial Agent is now available inside Google Cloud's Gemini Enterprise for Financial Services. Obin exposes its agents over A2A, so business users can build reports and presentations against live data and workflows from within the Gemini interface.</p><p><strong>Why it matters:</strong> Firms already standardized on Gemini Enterprise can reach Obin's agents without a separate application or a custom connector. Advisers and analysts can pull live portfolio and policy data into a report without exporting or switching tools.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://www.obin.ai/blog/gemini-enterprise-for-financial-services">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/obin-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>Fiddler AI shipped platform version 26.17, which introduces Guardrails for AgentGateway.</title>
      <link>https://aifintechindex.com/changelog/fiddler-ai</link>
      <guid isPermaLink="false">aifintechindex.com:change:6a92dfc45a5d4a0c898d2839</guid>
      <pubDate>Tue, 25 Aug 2026 12:00:00 GMT</pubDate>
      <category>Security / compliance</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Fiddler AI shipped platform version 26.17, which introduces Guardrails for AgentGateway. Guardrails redacts personally identifiable information and secrets in real time, before a request reaches the underlying model.</p><p><strong>Why it matters:</strong> Institutions routing customer data through an external model provider get redaction at the gateway rather than in application code, which is the control a privacy review usually asks for. It also moves the enforcement point to somewhere a security team can audit centrally.</p><p>Impact: High. Verification: Verified. Type: Security / compliance.</p><p>Evidence: <a href="https://docs.fiddler.ai/changelog/product-releases">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/fiddler-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>CredoLab's behavioral credit scoring is now live as an integration on the FICO Marketplace.</title>
      <link>https://aifintechindex.com/changelog/credolab</link>
      <guid isPermaLink="false">aifintechindex.com:change:6a89c30f3900b41b0d199bfd</guid>
      <pubDate>Fri, 21 Aug 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Lending &amp; Banking Operations</category>
      <description><![CDATA[<p>CredoLab's behavioral credit scoring is now live as an integration on the FICO Marketplace.</p><p><strong>Why it matters:</strong> Lenders already running FICO decisioning can pull CredoLab behavioral insights into existing underwriting flows without changing their decision engine.</p><p>Impact: Medium. Verification: Partially Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://ffnews.com/news/credolab-joins-fico-marketplace-to-scale-behavioral-credit-scoring-for-global-lenders">Trade press</a></p><p>Source: <a href="https://aifintechindex.com/changelog/credolab">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>nCino named the nCino Mortgage API as the standard integration platform for nCino Mortgage, replacing the legacy SimpleNexus API (SNAPI).</title>
      <link>https://aifintechindex.com/changelog/ncino</link>
      <guid isPermaLink="false">aifintechindex.com:change:6a89c30f3900b41b0d199bf9</guid>
      <pubDate>Tue, 18 Aug 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>nCino named the nCino Mortgage API as the standard integration platform for nCino Mortgage, replacing the legacy SimpleNexus API (SNAPI). The new framework carries modern authentication, versioning, webhooks and developer tooling. SNAPI is now in maintenance mode: it remains supported and no sunset date has been announced, but nCino states it is adding no new endpoints or functionality to it and that all new development happens in the nCino Mortgage API.</p><p><strong>Why it matters:</strong> Engineering teams building any new nCino Mortgage integration should build on the new API. Existing SNAPI integrations keep working, but nCino has put the platform on notice, so anything started on SNAPI today carries a migration later. Authentication, authorization and payloads differ substantially between the two.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://developer.ncinomortgage.com/mortgage/docs/welcome-beta-testers">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ncino">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>Built Technologies shipped its Summer 2026 release across its Construction Loan Administration and Deal Management platforms.</title>
      <link>https://aifintechindex.com/changelog/built-technologies</link>
      <guid isPermaLink="false">aifintechindex.com:change:6a809cd1ae06e842fdde3e14</guid>
      <pubDate>Mon, 10 Aug 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Built Technologies shipped its Summer 2026 release across its Construction Loan Administration and Deal Management platforms. The update introduces the AI-powered Action Center for automated task generation and financial document extraction, a Pay Application Detail drawer that mirrors the G702 form for automated AIA retainage calculations, multi-stakeholder collaboration controls with four access levels, and new precision fields for analyzing floating rate structures.</p><p><strong>Why it matters:</strong> Asset managers and construction lenders gain centralized visibility into portfolio-wide tasks, reducing the operational overhead of complex draw schedules. AI-driven document extraction and automated draw math for AIA applications accelerate construction loan processing, while tiered access controls allow controlled collaboration with guarantors, contractors, and capital partners.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://getbuilt.com/blog/summer-release-2026/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/built-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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