{"id":17070,"date":"2026-06-04T17:18:45","date_gmt":"2026-06-04T15:18:45","guid":{"rendered":"https:\/\/www.tolk.ai\/blog-ia\/non-classe\/3-ai-use-cases-that-generate-roi-20-qualified-leads"},"modified":"2026-06-25T16:50:35","modified_gmt":"2026-06-25T14:50:35","slug":"3-ai-use-cases-that-generate-roi-20-qualified-leads","status":"publish","type":"post","link":"https:\/\/www.tolk.ai\/en\/blog-ia\/business-sectors\/3-ai-use-cases-that-generate-roi-20-qualified-leads","title":{"rendered":"3 AI use cases that generate ROI: +20% qualified leads"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"17070\" class=\"elementor elementor-17070 elementor-16232\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2c774088 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2c774088\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e9e4bf5\" data-id=\"e9e4bf5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-415cf39 elementor-blockquote--skin-border elementor-widget elementor-widget-blockquote\" data-id=\"415cf39\" data-element_type=\"widget\" data-widget_type=\"blockquote.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<blockquote class=\"elementor-blockquote\">\n\t\t\t<p class=\"elementor-blockquote__content\">\n\t\t\t\tIn our previous article, we showed how an artificial intelligence (AI) agent anchored on your business reference systems can read, interpret and pre-analyze your claims documents where classic OCR* merely extracts text.\t\t\t<\/p>\n\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-85e1e73 elementor-widget elementor-widget-text-editor\" data-id=\"85e1e73\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The analysis below addresses AI use cases in insurance that work and the results associated with the deployments of our solution Genii.<\/p><p><em>*The acronym for Optical Character Recognition, in French <b>reconnaissance optique de caract\u00e8res<\/b>, is a technology that enables the recognition of textual content.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5eaefea elementor-widget elementor-widget-text-editor\" data-id=\"5eaefea\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2>The dead time that no one measures<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32ffd90 elementor-widget elementor-widget-text-editor\" data-id=\"32ffd90\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>For most of the insurers we support, the first observation is identical. The teams have already optimized their human processes. The case handlers are trained, the procedures are documented and the indicators are improving, but slowly, because the &#8220;easy&#8221; gains have already been captured.<\/p><p>Furthermore, what has not yet been addressed in the majority of organizations is the <strong>dead time<\/strong> between steps. For example:<\/p><ul><li>the incomplete file waiting for a document,<\/li><li>the quote waiting to be checked,<\/li><li>the incoming &#8220;where is my file?&#8221; call that ties up an advisor for 7 minutes for information available in the system.<\/li><\/ul><p>For the companies we support, this dead time represents on average <strong>55 to 60% of the total processing time<\/strong> of a claim. Note that it is not caused by human inefficiency. It is simply caused by steps that have not yet been <strong>automated<\/strong>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4c8321f elementor-widget elementor-widget-text-editor\" data-id=\"4c8321f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2>The three high-ROI AI use cases in insurance<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-90fcc89 elementor-widget elementor-widget-text-editor\" data-id=\"90fcc89\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Our Genii deployments systematically begin with use cases for which the necessary data is already available and structured.<\/p><p>This approach makes it possible to obtain <strong>measurable<\/strong> results within a few weeks. Here are 3 concrete use case examples.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f5e627c elementor-widget elementor-widget-text-editor\" data-id=\"f5e627c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>1. Assistance for policyholders and help with procedures<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d7b65ee elementor-widget elementor-widget-text-editor\" data-id=\"d7b65ee\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>First, Genii is fast in its analysis. It knows the procedure to follow and can identify the supporting documents according to internal eligibility rules. When a customer reaches out, it is also able to guide the policyholder based on their personal situation and support them through their procedure. As a result, the policyholder gets all the information in real time. They therefore submit a complete file and its processing time is significantly reduced.<\/p>\n<p>The observed benefit is direct. The volume of incomplete files entering processing is reduced by <span class=\"notion-enable-hover\" data-token-index=\"1\">30 to 40%<\/span>, which mechanically removes a major source of delay and administrative follow-up.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-04b4720 elementor-widget elementor-widget-text-editor\" data-id=\"04b4720\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>2. Help with prospect conversion<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8dec4c7 elementor-widget elementor-widget-text-editor\" data-id=\"8dec4c7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Moreover, Genii is a virtual seller able to remove prospect friction from the moment they enter the acquisition funnel. Trained on the insurer&#8217;s knowledge base, it knows the commercial discourse to adopt. It is also connected to the CRM and masters the commercial offers. Finally, it is able to detect hesitations or complex situations and redirect to a case handler. This use case creates <strong><span class=\"notion-enable-hover\" data-token-index=\"1\">15 to 20% additional quote requests<\/span><\/strong>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7cbb7a4 elementor-widget elementor-widget-text-editor\" data-id=\"7cbb7a4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>3. Autonomous answers and resolution<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-66e9f5b elementor-widget elementor-widget-text-editor\" data-id=\"66e9f5b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Finally, one of the important use cases in insurance rests on autonomous resolution.<\/p><p>Genii answers status requests from policyholders 24\/7, with day-level accuracy on progress and next steps. On the deployments observed, incoming calls on the tracking topic drop by <span class=\"notion-enable-hover\" style=\"font-weight: 600;\" data-token-index=\"1\">40 to 55%<\/span> within the first weeks. This availability also reduces the Monday-morning call peak generated by the questions accumulated over the weekend.<\/p><p>Consequently, the support teams are relieved of this workload. Also, policyholders benefit from better handling thanks to immediate answers even outside business hours.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5f81596 elementor-widget elementor-widget-image\" data-id=\"5f81596\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"2000\" height=\"1280\" src=\"https:\/\/www.tolk.ai\/wp-content\/uploads\/2026\/05\/Cas-dusage-en-assurance-Genii-2025-tolk-ai.png\" class=\"attachment-full size-full wp-image-17072\" alt=\"Cas dusage en assurance Genii 2025 tolk ai\" srcset=\"https:\/\/www.tolk.ai\/wp-content\/uploads\/2026\/05\/Cas-dusage-en-assurance-Genii-2025-tolk-ai.png 2000w, https:\/\/www.tolk.ai\/wp-content\/uploads\/2026\/05\/Cas-dusage-en-assurance-Genii-2025-tolk-ai-1536x983.png 1536w, https:\/\/www.tolk.ai\/wp-content\/uploads\/2026\/05\/Cas-dusage-en-assurance-Genii-2025-tolk-ai-280x180.png 280w\" sizes=\"(max-width: 2000px) 100vw, 2000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bfc23c9 elementor-widget elementor-widget-text-editor\" data-id=\"bfc23c9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2>The results observed on AI deployments<br \/><\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b06b502 elementor-widget elementor-widget-text-editor\" data-id=\"b06b502\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>On the deployments observed, the indicators converge toward the following ranges.<\/p><p>The average processing time for routine claims drops by <strong>45 to 55%<\/strong> when the three use cases above are deployed. The reduction varies according to the starting point: organizations with an initial timeframe greater than 15 days record the largest gains in absolute value.<\/p><p>Furthermore, the volume of incoming calls on the &#8220;file status&#8221; and &#8220;missing document&#8221; topics drops by <strong>40 to 50%<\/strong>. These two topics generally represent the leading causes of incoming contact in a policyholder relations center, which makes this gain an immediately visible impact on the teams&#8217; workload.<\/p><p>In addition, the <em>Net Promoter Score (NPS)<\/em> for policyholders who have experienced a claim improves by <strong>12 to 20 points<\/strong> on average. This score is mainly attributed to the responsiveness of the incomplete-file notification and to the transparency about progress.<strong>\u00a0<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-27af281 elementor-blockquote--skin-border elementor-widget elementor-widget-blockquote\" data-id=\"27af281\" data-element_type=\"widget\" data-widget_type=\"blockquote.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<blockquote class=\"elementor-blockquote\">\n\t\t\t<p class=\"elementor-blockquote__content\">\n\t\t\t\tThe return on investment becomes positive from the 3rd month of deployment, on the basis of savings on processing costs and avoided incoming calls alone.\t\t\t<\/p>\n\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed75443 elementor-widget elementor-widget-image\" data-id=\"ed75443\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"2000\" height=\"1120\" src=\"https:\/\/www.tolk.ai\/wp-content\/uploads\/2026\/05\/Deploiements-Genii-assurance-sante-tolk-ai.png\" class=\"attachment-full size-full wp-image-17074\" alt=\"Deploiements Genii assurance sante tolk ai\" srcset=\"https:\/\/www.tolk.ai\/wp-content\/uploads\/2026\/05\/Deploiements-Genii-assurance-sante-tolk-ai.png 2000w, https:\/\/www.tolk.ai\/wp-content\/uploads\/2026\/05\/Deploiements-Genii-assurance-sante-tolk-ai-1536x860.png 1536w\" sizes=\"(max-width: 2000px) 100vw, 2000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8174c78 elementor-widget elementor-widget-text-editor\" data-id=\"8174c78\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2>A timing that can transform the decision<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cc9c5a0 elementor-widget elementor-widget-text-editor\" data-id=\"cc9c5a0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Indeed, automation projects in insurance have often been postponed for the same reason:<strong> the time to production<\/strong>. It is often incompatible with the teams&#8217; schedule. A 12-to-18-month project systematically gets blocked by other priorities.<\/p><p>Genii deployments on the three use cases described above are operational in <strong>3 to 5 weeks<\/strong> on average. This is from scoping through to going into production (test phases included). This velocity fundamentally changes the equation. It becomes possible to prove a measurable impact before the end of the quarter, without technical skills or the recruitment of specialized profiles.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-df9d8a1 elementor-widget elementor-widget-text-editor\" data-id=\"df9d8a1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2>Conclusion<br \/><\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c467e0e elementor-widget elementor-widget-text-editor\" data-id=\"c467e0e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Finally, claims teams are not slow or inefficient. They spend time on tasks that do not require their expertise. Automating these steps does not reduce headcount: it gives them back time on complex files, those where their judgment really makes the difference.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa58747 elementor-widget elementor-widget-text-editor\" data-id=\"aa58747\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Our experts offer you a free diagnostic to identify the use cases to deploy first in your organization.<\/p><p><a href=\"https:\/\/meetings-eu1.hubspot.com\/manon-voisin\/demo-genii\">&gt; Book a meeting<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ba2ab64 elementor-widget elementor-widget-text-editor\" data-id=\"ba2ab64\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3><strong>Sources<\/strong><\/h3><p><span style=\"letter-spacing: 0.2px;\">To conclude, the figures presented here come from the <a href=\"\/\">Genii<\/a> deployments observed in 2025. The scopes concerned are those of health insurance, personal protection, home insurance and property and casualty insurance. They are presented as observed ranges, without attribution to a specific player.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>In our previous article, we showed how an artificial intelligence (AI) agent anchored on your business reference systems can read, interpret and pre-analyze your claims documents where classic OCR* merely extracts text. The analysis below addresses AI use cases in insurance that work and the results associated with the deployments of our solution Genii. *The [&hellip;]<\/p>\n","protected":false},"author":15,"featured_media":17075,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[90],"tags":[93],"class_list":["post-17070","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-sectors","tag-insurance"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI in insurance: 3 use cases to generate conversions<\/title>\n<meta name=\"description\" content=\"AI use cases in insurance: How do you get the best possible ROI from an AI deployment? 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