{"id":854,"date":"2025-10-16T10:24:19","date_gmt":"2025-10-16T10:24:19","guid":{"rendered":"https:\/\/pulse-and-patterns.in-testing.co.uk\/service\/ai\/predictive-ai\/"},"modified":"2025-11-09T21:46:54","modified_gmt":"2025-11-09T21:46:54","slug":"predictive-ai","status":"publish","type":"service","link":"https:\/\/pulsepatterns.com\/de\/service\/ai\/predictive-ai\/","title":{"rendered":"Predictive AI"},"content":{"rendered":"\n<!-- Our front-end template -->\n<section\n    id=\"inner-hero-block_05a9d3b89a723f662afa72e3e37c88d5\" \n    class=\"inner-hero  \"\n>\n    <div class=\"site-container\">\n        <nav class=\"breadcrumbs\" aria-label=\"Breadcrumb\" itemscope itemtype=\"https:\/\/schema.org\/BreadcrumbList\"><span class=\"breadcrumb-item\" itemprop=\"itemListElement\" itemscope itemtype=\"https:\/\/schema.org\/ListItem\"><a href=\"https:\/\/pulsepatterns.com\/de\/\" class=\"breadcrumb-link\" itemprop=\"item\"><span itemprop=\"name\">Home<\/span><\/a><meta itemprop=\"position\" content=\"1\" \/><\/span><\/nav>\n                    <div class=\"intro\" data-aos=\"fade-in\">\n                <h1>Predictive AI<\/h1>\n                                  \n                        <span class=\"subheader\">Erkenne, was kommt, und handle, bevor es eintritt.<\/span>\n                 \n                            <\/div>\n                            <div class=\"copy\" data-aos=\"fade-in\">\n                <p><p>Bedarf vorhersehen. St\u00f6rungen vorbeugen. Proaktiven Service bieten.<\/p>\n<\/p>\n            <\/div>\n                            <figure class=\"image\" data-aos=\"fade-in\">\n                <img decoding=\"async\" src=\"https:\/\/pulsepatterns.com\/wp-content\/uploads\/2025\/10\/10.png\" alt=\"\">                            <\/figure>\n            <\/div>\n<\/section>\n\n\n<!-- Our front-end template -->\n<section\n    id=\"single-column-intro-block_609aeb6e379af0c35e62c340bde54b61\" \n    class=\"single-column-intro \"\n>\n    <div class=\"site-container\">\n                    <div class=\"copy\" data-aos=\"fade-in\">\n                <p><p data-start=\"234\" data-end=\"445\">Predictive Intelligence integriert maschinelles Lernen direkt in deine ServiceNow-Workflows und hilft dir, Muster zu erkennen, Probleme fr\u00fchzeitig zu verstehen und zu l\u00f6sen &#8211; noch bevor sie eskalieren. Mit codelosen Modellvorlagen und einer gef\u00fchrten Workbench kannst du m\u00fchelos klassifizieren, clustern und Prognosen erstellen. Das Ergebnis: schnellere Fallzuweisungen, weniger \u00dcberraschungen und fundierte Entscheidungen, die auf Daten basieren &#8211; nicht auf Vermutungen. Und das alles auf derselben Plattform, auf der du deine Abl\u00e4ufe steuerst und optimierst.<\/p>\n<\/p>\n            <\/div>\n            <\/div>\n<\/section>\n\n\n<!-- Our front-end template -->\n<section\n    id=\"two-cols-text-repeater-block_b71f4219f4f2ddad9875cf2cb01a7df1\" \n    class=\"two-cols-text-repeater \"\n>\n    <div class=\"site-container\">\n                    <div class=\"content-grid\">\n                                    <div class=\"content-item \" data-aos=\"fade-in\" data-aos-delay=\"0\">\n                                                    <h3>Intelligenter planen, schnellere L\u00f6sungen.<\/h3>\n                                                                            <p data-start=\"233\" data-end=\"415\">Predictive Intelligence klassifiziert und routet Anfragen automatisch &#8211; sofort bei ihrer Erstellung. Dadurch sinken Wartezeiten, Fehlzuweisungen und unn\u00f6tige \u00dcbergaben. Auf deinen historischen Daten trainierte Modelle erkennen Absichten und Kontext und leiten die Arbeit direkt an das richtige Team weiter.\u00a0Das Ergebnis: schnellere Triage, weniger Reassignments und messbar bessere Servicequalit\u00e4t &#8211; mit h\u00f6heren L\u00f6sungsraten und SLA-Erf\u00fcllung.<\/p>\n                        \n                    <\/div>\n                                    <div class=\"content-item standout-text\" data-aos=\"fade-in\" data-aos-delay=\"100\">\n                                                                            <p>Erkenne Probleme fr\u00fchzeitig und behebe sie schneller \u2013 dank Predictive Intelligence, die Daten in konkrete Aktionen \u00fcbersetzt.<\/p>\n                        \n                    <\/div>\n                                    <div class=\"content-item \" data-aos=\"fade-in\" data-aos-delay=\"200\">\n                                                    <h3>Erkennen und l\u00f6sen, bevor Eskalationen entstehen.<\/h3>\n                                                                            <p><strong data-start=\"154\" data-end=\"220\">redictive Intelligence erkennt Probleme, bevor sie entstehen. <\/strong>Durch Mustererkennung und ETTR-Prognosen planst du Ressourcen vorausschauend, reduzierst R\u00fcckst\u00e4nde und h\u00e4ltst Servicequalit\u00e4t und SLAs auf Top-Niveau. Du bek\u00e4mpfst Ursachen statt nur Symptome.<\/p>\n                        \n                    <\/div>\n                                    <div class=\"content-item \" data-aos=\"fade-in\" data-aos-delay=\"300\">\n                                                    <h3> Vorhersagen, unterst\u00fctzen, automatisieren.<\/h3>\n                                                                            <p>Wenn Predictive Intelligence auf GenAI trifft, wird Erkenntnis zu Aktion.<br data-start=\"255\" data-end=\"258\" \/>ServiceNow kombiniert Vorhersagemodelle mit intelligenten Agenten: Predictive Intelligence liefert Signale wie wahrscheinliche Zuweisungsgruppen oder ETTR, die im Flow Designer sichtbar sind. Now Assist AI Agents greifen diese Signale auf, f\u00fchren automatisch den n\u00e4chstbesten Schritt aus und schlie\u00dfen so einen intelligenten Loop \u2013 Vorhersagen steuern den Agenten, der Agent handelt, und kontinuierliches Retraining sowie Monitoring sichern die Modellgenauigkeit.<\/p>\n                        \n                    <\/div>\n                            <\/div>\n                            <div class=\"link-container\" data-aos=\"fade-in\">\n            <a href=\"\/contact-us\" target=\"\" class=\"btn-arrows\">\n                <span>MULTIPLY NOW<\/span>\n            <\/a>\n            <\/div>\n            <\/div>\n<\/section>\n\n\n<!-- Our front-end template -->\n<section\n    id=\"benefits-block_d195f4bf07b98e8febd236f78f5227dd\" \n    class=\"benefits  green\"\n>\n    <div class=\"site-container\">\n                    <div class=\"intro no-copy three-columns\" data-aos=\"fade-in\">\n                                    <h2>Die Leistungsf\u00e4higkeit von Predictive AI.<\/h2>\n                                            <\/div>\n                            <div class=\"benefits-grid three-columns\">\n                                    <div class=\"benefit-item\" data-aos=\"fade-up\" data-aos-delay=\"0\">\n                                                    <figure class=\"benefit-icon\">\n                                <img decoding=\"async\" src=\"https:\/\/pulsepatterns.com\/wp-content\/uploads\/2025\/10\/Pulse_Patterns_Lead-to-cash_Red.svg\" alt=\"\" loading=\"lazy\">                            <\/figure>\n                                                <div class=\"benefit-content\">\n                                                            <h3>Von reaktiven zu proaktiven Abl\u00e4ufen<\/h3>\n                                                                                        <div><p>Predictive Intelligence erkennt Trends und Anomalien fr\u00fchzeitig, sodass die Ursachen behoben werden, bevor sie sich auf die Leistung oder das Kundenerlebnis auswirken.<\/p>\n<\/div>\n                                                                                <\/div>\n                    <\/div>\n                                    <div class=\"benefit-item\" data-aos=\"fade-up\" data-aos-delay=\"100\">\n                                                    <figure class=\"benefit-icon\">\n                                <img decoding=\"async\" src=\"https:\/\/pulsepatterns.com\/wp-content\/uploads\/2025\/10\/Pulse_Patterns_Quotes-contracts_Red.svg\" alt=\"\" loading=\"lazy\">                            <\/figure>\n                                                <div class=\"benefit-content\">\n                                                            <h3>Schnelleres Routing, weniger \u00dcbergaben<\/h3>\n                                                                                        <div><p>Maschinelles Lernen klassifiziert und ordnet Anfragen automatisch zu, wodurch Wartezeiten und Nacharbeiten reduziert und gleichzeitig die Einhaltung von SLAs in IT-, HR- und Kunden-Workflows verbessert werden.<\/p>\n<\/div>\n                                                                                <\/div>\n                    <\/div>\n                                    <div class=\"benefit-item\" data-aos=\"fade-up\" data-aos-delay=\"200\">\n                                                    <figure class=\"benefit-icon\">\n                                <img decoding=\"async\" src=\"https:\/\/pulsepatterns.com\/wp-content\/uploads\/2025\/10\/Pulse_Patterns_AI-that-drafts_Red.svg\" alt=\"\" loading=\"lazy\">                            <\/figure>\n                                                <div class=\"benefit-content\">\n                                                            <h3>Kontinuierliche Verbesserungen<\/h3>\n                                                                                        <div><p>Prognosen und Clusteranalysen zeigen auf, wo Nachfrage, Risiken oder Ineffizienzen zunehmen, und liefern F\u00fchrungskr\u00e4ften Daten, um die Personalbesetzung zu optimieren, Investitionen zu priorisieren und mit Zuversicht vorauszuplanen.<\/p>\n<\/div>\n                                                                                <\/div>\n                    <\/div>\n                            <\/div>\n            <\/div>\n<\/section>\n\n\n<!-- Our front-end template -->\n<section id=\"accordion-block-block_f0891408c39a1956293d846641b605e5\" class=\"accordion-block  \">\n    <div class=\"site-container\">\n                    <h2>FAQs<\/h2>\n        \n                    <div class=\"accordions-wrapper\">\n                                    <div class=\"accordion-single\" data-aos=\"fade-in\">\n                        <button class=\"accordion-heading\"\n                                id=\"accordion-header-0\"\n                                aria-controls=\"accordion-panel-0\"\n                                aria-expanded=\"false\"\n                        >\n                            <span class=\"h4 text\">\n                                Do we need data-science skills to use ServiceNow Predictive Intelligence?\u00a0                            <\/span>\n                            <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"25\" height=\"16.16\" viewBox=\"0 0 25 16.16\">\n                            <g id=\"Group_5115\" data-name=\"Group 5115\" transform=\"translate(25) rotate(90)\">\n                                <path id=\"Path_8\" data-name=\"Path 8\" d=\"M.258,0l8.5,12.341L0,25H8.278L16.16,13.123V11.437L8.525,0Z\"\/>\n                            <\/g>\n                            <\/svg>\n\n                        <\/button>\n                        <div class=\"accordion-content\"\n                            id=\"accordion-header-0\"\n                            aria-labelledby=\"accordion-header-0\"\n                        >\n                            <div class=\"inner\">\n                                <div class=\"subtext\">\n                                    <p><span class=\"NormalTextRun SCXW120832210 BCX8\"> No. Admins use <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW120832210 BCX8\">a guided<\/span><span class=\"NormalTextRun SCXW120832210 BCX8\"> workbench and out-of-the-box model templates. Advanced teams can fine-tune features, thresholds, and evaluation when needed.<\/span><\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                                    <div class=\"accordion-single\" data-aos=\"fade-in\">\n                        <button class=\"accordion-heading\"\n                                id=\"accordion-header-1\"\n                                aria-controls=\"accordion-panel-1\"\n                                aria-expanded=\"false\"\n                        >\n                            <span class=\"h4 text\">\n                                How does ServiceNow Predictive Intelligence work (in plain terms)?\u00a0                            <\/span>\n                            <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"25\" height=\"16.16\" viewBox=\"0 0 25 16.16\">\n                            <g id=\"Group_5115\" data-name=\"Group 5115\" transform=\"translate(25) rotate(90)\">\n                                <path id=\"Path_8\" data-name=\"Path 8\" d=\"M.258,0l8.5,12.341L0,25H8.278L16.16,13.123V11.437L8.525,0Z\"\/>\n                            <\/g>\n                            <\/svg>\n\n                        <\/button>\n                        <div class=\"accordion-content\"\n                            id=\"accordion-header-1\"\n                            aria-labelledby=\"accordion-header-1\"\n                        >\n                            <div class=\"inner\">\n                                <div class=\"subtext\">\n                                    <p><span class=\"NormalTextRun SCXW25941600 BCX8\"> It learns from your historical records (incidents, cases, requests), then auto-sets fields (e.g., assignment group), finds similar past fixes, <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW25941600 BCX8\">groups<\/span><span class=\"NormalTextRun SCXW25941600 BCX8\"> ticket themes, and predicts effort or SLA risk\u2014directly on the Now Platform.<\/span><\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                                    <div class=\"accordion-single\" data-aos=\"fade-in\">\n                        <button class=\"accordion-heading\"\n                                id=\"accordion-header-2\"\n                                aria-controls=\"accordion-panel-2\"\n                                aria-expanded=\"false\"\n                        >\n                            <span class=\"h4 text\">\n                                Is ServiceNow Predictive Intelligence private and compliant (e.g., GDPR)?                            <\/span>\n                            <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"25\" height=\"16.16\" viewBox=\"0 0 25 16.16\">\n                            <g id=\"Group_5115\" data-name=\"Group 5115\" transform=\"translate(25) rotate(90)\">\n                                <path id=\"Path_8\" data-name=\"Path 8\" d=\"M.258,0l8.5,12.341L0,25H8.278L16.16,13.123V11.437L8.525,0Z\"\/>\n                            <\/g>\n                            <\/svg>\n\n                        <\/button>\n                        <div class=\"accordion-content\"\n                            id=\"accordion-header-2\"\n                            aria-labelledby=\"accordion-header-2\"\n                        >\n                            <div class=\"inner\">\n                                <div class=\"subtext\">\n                                    <p><span class=\"TextRun SCXW221458897 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW221458897 BCX8\"> Yes. Models run inside your ServiceNow instance. Pair with Sensitive Data Handler and GenAI admin controls to mask PII, limit exposure, and streamline audits.<\/span><\/span><\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                                    <div class=\"accordion-single\" data-aos=\"fade-in\">\n                        <button class=\"accordion-heading\"\n                                id=\"accordion-header-3\"\n                                aria-controls=\"accordion-panel-3\"\n                                aria-expanded=\"false\"\n                        >\n                            <span class=\"h4 text\">\n                                What data do we need for good accuracy in ServiceNow Predictive Intelligence?                            <\/span>\n                            <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"25\" height=\"16.16\" viewBox=\"0 0 25 16.16\">\n                            <g id=\"Group_5115\" data-name=\"Group 5115\" transform=\"translate(25) rotate(90)\">\n                                <path id=\"Path_8\" data-name=\"Path 8\" d=\"M.258,0l8.5,12.341L0,25H8.278L16.16,13.123V11.437L8.525,0Z\"\/>\n                            <\/g>\n                            <\/svg>\n\n                        <\/button>\n                        <div class=\"accordion-content\"\n                            id=\"accordion-header-3\"\n                            aria-labelledby=\"accordion-header-3\"\n                        >\n                            <div class=\"inner\">\n                                <div class=\"subtext\">\n                                    <p><span class=\"TextRun SCXW126229973 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW126229973 BCX8\"> Clean historical records with consistent categories, resolutions, and outcomes. Rule of thumb: more well-labeled examples \u2192 better early accuracy. (Improve data hygiene first, then train.)<\/span><\/span><\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                                    <div class=\"accordion-single\" data-aos=\"fade-in\">\n                        <button class=\"accordion-heading\"\n                                id=\"accordion-header-4\"\n                                aria-controls=\"accordion-panel-4\"\n                                aria-expanded=\"false\"\n                        >\n                            <span class=\"h4 text\">\n                                What is ServiceNow Predictive Intelligence and what problems does it solve?\u00a0                            <\/span>\n                            <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"25\" height=\"16.16\" viewBox=\"0 0 25 16.16\">\n                            <g id=\"Group_5115\" data-name=\"Group 5115\" transform=\"translate(25) rotate(90)\">\n                                <path id=\"Path_8\" data-name=\"Path 8\" d=\"M.258,0l8.5,12.341L0,25H8.278L16.16,13.123V11.437L8.525,0Z\"\/>\n                            <\/g>\n                            <\/svg>\n\n                        <\/button>\n                        <div class=\"accordion-content\"\n                            id=\"accordion-header-4\"\n                            aria-labelledby=\"accordion-header-4\"\n                        >\n                            <div class=\"inner\">\n                                <div class=\"subtext\">\n                                    <p><span class=\"TextRun SCXW162581788 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW162581788 BCX8\"> ServiceNow Predictive Intelligence is the platform\u2019s native ML layer that classifies, matches, clusters, and forecasts inside your workflows\u2014so routing, resolution, and reporting move faster without exporting data.<\/span><\/span><\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                                    <div class=\"accordion-single\" data-aos=\"fade-in\">\n                        <button class=\"accordion-heading\"\n                                id=\"accordion-header-5\"\n                                aria-controls=\"accordion-panel-5\"\n                                aria-expanded=\"false\"\n                        >\n                            <span class=\"h4 text\">\n                                Where will we see value first with ServiceNow Predictive Intelligence?\u00a0                            <\/span>\n                            <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"25\" height=\"16.16\" viewBox=\"0 0 25 16.16\">\n                            <g id=\"Group_5115\" data-name=\"Group 5115\" transform=\"translate(25) rotate(90)\">\n                                <path id=\"Path_8\" data-name=\"Path 8\" d=\"M.258,0l8.5,12.341L0,25H8.278L16.16,13.123V11.437L8.525,0Z\"\/>\n                            <\/g>\n                            <\/svg>\n\n                        <\/button>\n                        <div class=\"accordion-content\"\n                            id=\"accordion-header-5\"\n                            aria-labelledby=\"accordion-header-5\"\n                        >\n                            <div class=\"inner\">\n                                <div class=\"subtext\">\n                                    <ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">ITSM:<\/span><\/b><span data-contrast=\"auto\"> auto-routing, duplicate detection, SLA risk prediction.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">CSM:<\/span><\/b><span data-contrast=\"auto\"> intent classification, next-best knowledge.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">HR:<\/span><\/b><span data-contrast=\"auto\"> category and assignment suggestions for HR cases.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                            <\/div>\n            <\/div>\n<\/section>\n\n\n<!-- Our front-end template -->\n<section\n    id=\"cta-banner-block_f69bb3295f2cf6d6548b0d4cd4cb8425\" \n    class=\"cta-banner  orange no-image\"\n>\n    <div class=\"site-container\">\n        <div class=\"content-container\">\n                            <div class=\"icon\"  >\n                    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"85\" height=\"51.695\" viewBox=\"0 0 85 51.695\">\n                    <g id=\"Group_5078\" data-name=\"Group 5078\" transform=\"translate(0)\">\n                        <path id=\"Path_4776\" data-name=\"Path 4776\" d=\"M1.751,0,26.878,25.282,0,51.7H18.524L40.643,29V21.268L20.011,0Z\" transform=\"translate(0 0)\" fill=\"#FFF\"\/>\n                        <path id=\"Path_4777\" data-name=\"Path 4777\" d=\"M80.695,0,60.062,21.268V29L82.182,51.7h18.523L73.827,25.282,98.954,0Z\" transform=\"translate(-15.706 0)\" fill=\"#FFF\"\/>\n                    <\/g>\n                    <\/svg>\n\n                <\/div>\n                        <div class=\"content-inner\">\n                                    <span class=\"h2\" >Bereit aus Prognosen konkrete Aktionen zu machen?<\/span>\n                                <div class=\"content-inner--bottom  no-image \"  >\n                    <div class=\"copy\"><p>Vereinbare einen Termin, um mit Pulse and Patterns zu entdecken, wie Machine Learning die Nachfrage vorhersagen, Vorf\u00e4lle verhindern und Entscheidungen schneller &amp; smarter machen kann \u2013 direkt in deinen ServiceNow-Workflows.<\/p>\n<\/div>\n                                            <a class=\"btn-arrows\" href=\"\/contact-us\" target=\"\"><span>MULTIPLY NOW<\/span><\/a>\n                                    <\/div>\n            <\/div>\n        <\/div>\n            <\/div>\n<\/section>","protected":false},"excerpt":{"rendered":"<p>Erkenne Risiken, priorisiere Aufgaben und empfehle 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