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Kapoor"}}],"image":{"id":"image-95f732e7da","height":"2500","src":"/adobe/dynamicmedia/deliver/dm-aid--587edc9e-f44a-4a1b-b787-536c27364e38/15-ai.jpg?quality=85&preferwebp=true","lazyEnabled":true,"isLcpImage":false,"width":"4167",":type":"snowflake-site/components/image"},"timeToRead":"11","publicationDate":"NOV 09, 2026","tag":{"tagText":"IA et ML","tagColor":"#C54985"},"title":{"lines":["Avec l’IA, Snowfake baisse de 50 % le temps de travail de son équipe d’audit interne"],"type":"heading2",":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/blog/blog-hero"},"container":{"layout":"RESPONSIVE_GRID","columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{},"id":"container-4265d3e85b",":type":"snowflake-site/components/container",":items":{},":itemsOrder":[],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},"button":{"id":"button-e075c5b194","showOutboundIcon":false,"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","appliedCssClassNames":"snowflake-button-primary snowflake-button-blue snowflake-button-regular","linkType":"UNKNOWN"}},":itemsOrder":["blog_hero","container","button"]},"responsivegrid_content":{"columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"blog_text":"aem-GridColumn aem-GridColumn--default--12","blog_text_1813049469":"aem-GridColumn aem-GridColumn--default--12","blog_text_2037728156":"aem-GridColumn aem-GridColumn--default--12"},"appliedCssClassNames":"snowflake-layout-container-inner-padding-small",":items":{"blog_text":{"id":"blog-text-82e3044594","text":"\u003Cp\u003E\u003Cu\u003E\u003C/u\u003EL’audit interne a longtemps été perçu comme une fonction tournée vers le passé, chargée d’examiner d’anciens dossiers pour confirmer le bon fonctionnement des contrôles. Au sein de l’équipe d’audit interne de Snowflake, l’IA a changé la donne.\u003C/p\u003E\n\u003Cp\u003ENous avons réduit de 50 % le temps consacré à la collecte d’éléments probants, aux tests et à la production des rapports d’audit. Au total, nous avons économisé plus de 3 500 heures d’audit en 2026, ainsi que plus de 1 500 heures pour les responsables de contrôles dans l’ensemble du business.\u003C/p\u003E\n\u003Cp\u003EQu’il s’agisse d’examiner les journaux d’accès aux systèmes ou d’analyser les principales tendances des transactions financières, l’IA nous permet de remplacer les contrôles historiques à un instant T par une surveillance continue et automatisée. Nous ne nous contentons plus d’identifier ce qui s’est mal passé six mois auparavant : nous pouvons faire ressortir les principaux risques associés à des contrôles et cas d’usage précis, puis poser des questions ciblées.\u003C/p\u003E\n\u003Cp\u003EVoici comment l’IA aide l’équipe d’audit interne de Snowflake à réinventer ses pratiques, avec des données concrètes et des résultats mesurables à l’appui.\u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003EÀ retenir\u003C/b\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003ELe temps consacré aux travaux d’audit pour la collecte d’éléments probants et la production des rapports a diminué de 50 %, passant de plusieurs mois à quelques semaines (résultats internes arrêtés en septembre 2026).\u003C/li\u003E\n\u003Cli\u003ELes tests sont passés d’un échantillonnage à une couverture de 100 % de la population, avec des analyses proactives pour tester plusieurs contrôles et rapports clés, ainsi que pour définir le périmètre de cas d’usage tels que la gestion des commandes, les rapports clés de Workday, les revenus et les principaux contrôles d’accès.\u003C/li\u003E\n\u003Cli\u003EL’équipe d’audit interne de Snowflake a économisé plus de 3 500 heures en 2026, dont plus de 1 000 sur la définition du périmètre des risques et plus de 2 500 sur les tests et la documentation. Les responsables de contrôles ont quant à eux gagné plus de 1 500 heures.\u003C/li\u003E\n\u003Cli\u003EL’IA assure le traitement des données et l’analyse initiale, tandis que les auditeurs restent responsables de chaque conclusion.\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003ERien de tout cela ne serait possible si nos données étaient dispersées entre des systèmes déconnectés. Comme les données de facturation, de revenus, de RH, d’accès et des journaux d’audit sont déjà disponibles dans Snowflake, nous pouvons effectuer nos tests sur des populations complètes sans devoir réunir différentes sources. Nous utilisons \u003Ca href=\"https://www.snowflake.com/fr/product/snowflake-coco/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ESnowflake CoCo\u003C/a\u003E, l’agent de codage IA intégré à Snowflake, pour créer les scripts, tableaux de bord et applications qui réalisent ce travail.\u003C/p\u003E\n\u003Ch2\u003ELes auditeurs prennent toutes les décisions finales\u003C/h2\u003E\n\u003Cp\u003EÀ mesure que nous développons notre utilisation de l’IA, la confiance et la responsabilité comptent davantage à mes yeux que n’importe quel gain d’efficacité. L’IA est notre accélérateur, la supervision humaine notre point d’ancrage. Mon équipe applique un modèle avec intervention humaine :\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cb\u003EL’IA prépare, les auditeurs concluent :\u003C/b\u003E L’IA assure le traitement des données, la reconnaissance des tendances et le rapprochement initial. Les auditeurs réalisent chaque évaluation finale et chaque analyse des risques. Ils restent également responsables de tous les échanges avec les dirigeants du business.\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003ELes auditeurs vérifient les résultats de l’IA avant toute utilisation :\u003C/b\u003E lorsqu’elle rédige la documentation des tests ou signale des exceptions, l’IA fait l’objet d’une vérification par un auditeur. Nous ne consacrons plus notre temps à recueillir les éléments probants, mais à les valider.\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003ELes outils tiers s’exécutent dans Snowflake :\u003C/b\u003E les outils tels que Petual.ai s’exécutent sous forme de Snowflake Native Apps. Leurs traitements restent donc sécurisés et isolés dans notre compte Snowflake.\u003C/li\u003E\n\u003C/ul\u003E\n\u003Ch2\u003ELes chiffres parlent d’eux-mêmes : efficacité accrue et assurance élargie\u003C/h2\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"},"blog_text_1813049469":{"id":"blog-text-ac8a5bc3fc","text":"\u003Ctable\u003E\n\u003Cthead\u003E\u003Ctr\u003E\u003Cth\u003ECatégorie d’indicateur\u003C/th\u003E\n\u003Cth\u003EImpact mesurable obtenu\u003C/th\u003E\n\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EDéfinition du périmètre des risques et des audits\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E\u003Cb\u003EPlus de 1 000 heures\u003C/b\u003E économisées sur un an grâce à l’exécution de plusieurs requêtes et à l’analyse de tableaux de bord permettant d’évaluer différentes variantes de périmètres liés aux revenus et aux données financières, ainsi qu’à la définition du périmètre des principaux audits opérationnels.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EOptimisation du temps consacré aux tests, à la documentation et au reporting\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E\u003Cb\u003EPlus de 2 500 heures économisées sur un an sur\u003C/b\u003E les tests manuels et la documentation de différents contrôles financiers et opérationnels, ainsi que sur les principales exigences de certification. Les auditeurs peuvent ainsi se concentrer sur les domaines stratégiques à haut risque et élaborer avec les parties prenantes des solutions aux problèmes identifiés.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EGain de temps pour les responsables de contrôles\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E\u003Cb\u003EPlus de 1 500 heures économisées sur un an\u003C/b\u003E grâce à la rationalisation de la performance des contrôles, de la collecte d’éléments probants et des processus de demande.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EVisibilité sur les risques et couverture de la population\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003EPassage de l’\u003Cb\u003Eéchantillonnage statistique aléatoire\u003C/b\u003E traditionnel à une \u003Cb\u003Eassurance couvrant 100 % de la population\u003C/b\u003E pour certains cas d’usage, avec une visibilité en temps quasi réel sur les exceptions.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EAccélération des travaux d’audit jusqu’au rapport final\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E\u003Cb\u003ERéduction de 50 % du temps consacré aux travaux d’audit\u003C/b\u003E pour la collecte d’éléments probants et la production des rapports, soit un passage de plusieurs mois à quelques semaines.\u003C/td\u003E\n\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_text_2037728156":{"id":"blog-text-7ae1788746","text":"\u003Ch2\u003E\u003Cu\u003E\u003C/u\u003EComment l’IA renforce nos principaux contrôles SOX et financiers\u003C/h2\u003E\n\u003Ch3\u003EDéfinition du périmètre des flux de revenus\u003C/h3\u003E\n\u003Cp\u003EUne compétence, ou « skill », est un workflow réutilisable que l’IA sait reconnaître et exécuter à la demande. Dans CoCo, nous disposons d’une skill qui analyse en temps quasi réel le périmètre de nos flux de revenus selon leurs principales dimensions et envoie par e-mail une vue d’ensemble à la demande. Nous économisons ainsi plus de 500 heures par an. Lorsque la consommation augmente brusquement, nous le détectons rapidement et échangeons avec les parties prenantes sur l’impact pour les principaux contrôles. Nous pouvons ainsi anticiper les activités de conformité SOX.\u003C/p\u003E\n\u003Ch3\u003EAutomatisation des tests des principaux contrôles du cycle order-to-cash\u003C/h3\u003E\n\u003Cp\u003ELa sélection et le test manuels d’échantillons sur de gros volumes de commandes étaient lents et sources d’erreurs. Désormais, les fonctions \u003Ca href=\"https://www.snowflake.com/fr/product/features/cortex/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ECortex AI\u003C/a\u003E, telles qu’AI_EXTRACT, extraient les informations clés des documents de commande, notamment les conditions de comptabilisation des revenus, les dates de début et de fin, ainsi que les modalités de facturation. Une application créée avec CoCo les valide par rapport à notre système de facturation et de comptabilisation des revenus. Nous pouvons ainsi tester chaque commande et détecter les anomalies dès qu’elles surviennent.\u003C/p\u003E\n\u003Ch3\u003EAutomatisation des tests des rapports clés\u003C/h3\u003E\n\u003Cp\u003ENous devions identifier dans les journaux d’audit les changements réellement pertinents pour les tests, alors même que ces informations étaient difficiles à analyser. La complexité des processus et la forte dépendance à l’extraction, à l’analyse et à la vérification manuelles des rapports compliquaient la prise de décision et ralentissaient les audits.\u003C/p\u003E\n\u003Cp\u003EAvec CoCo et Streamlit, nous avons créé une architecture automatisée « Report-as-a-Service » (RAAS) qui ingère les pistes d’audit, permettant ainsi une surveillance continue et data-driven, ainsi qu’une rationalisation numérique des processus.\u003C/p\u003E\n\u003Cp\u003ECette approche a permis d’économiser plus de 450 heures de tests par an et d’assurer une couverture de 100 % de la population, avec une visibilité sur les audits en temps quasi réel.\u003C/p\u003E\n\u003Ch3\u003ESurveillance des principaux contrôles d’accès (contrôles généraux informatiques)\u003C/h3\u003E\n\u003Cp\u003EPour garantir l’alignement des accès privilégiés et des autorisations sur nos politiques business, les tableaux de bord créés avec CoCo recherchent en continu les exceptions de provisionnement et de déprovisionnement, les violations de la séparation des tâches (SoD) et les élévations de privilèges non autorisées. Ces tableaux de bord signalent les anomalies dès leur apparition sur l’ensemble de la population. Nous n’avons donc plus besoin de prélever des échantillons pour effectuer des contrôles périodiques.\u003C/p\u003E\n\u003Ch3\u003EAutomatisation des tests de rapprochement\u003C/h3\u003E\n\u003Cp\u003EAuparavant, le rapprochement de la paie impliquait de comparer manuellement trois à quatre rapports RH et de paie répartis dans plus de huit classeurs Excel. Désormais, une application de données créée avec CoCo se charge de l’essentiel du travail et signale automatiquement les écarts. Les responsables de contrôles en sont les premiers bénéficiaires, puisque cette application leur fait gagner plus de 500 heures par an.\u003C/p\u003E\n\u003Cp\u003ECe même schéma peut s’appliquer à tout rapprochement reposant sur des données issues de plusieurs rapports.\u003C/p\u003E\n\u003Ch3\u003ETests et documentation des contrôles SOX\u003C/h3\u003E\n\u003Cp\u003ELa rédaction de la documentation SOX et la mise à jour des modèles de test prenaient auparavant plusieurs semaines. Désormais, nous transmettons nos modèles et nos éléments probants à Petual.ai, qui s’exécute sous forme de Snowflake Native App et rédige la documentation mise à jour. Les auditeurs vérifient le résultat final et le délai d’exécution se compte désormais en heures.\u003C/p\u003E\n\u003Cp\u003ECette approche libère également du temps pour des missions de conseil à plus fort impact sur les risques émergents, stratégiques et élevés, ainsi que pour la création de skills CoCo destinées à surveiller en continu les risques clés et à produire un impact concret.\u003C/p\u003E\n\u003Ch3\u003EExamens SOC 1\u003C/h3\u003E\n\u003Cp\u003EL’examen des rapports SOC 1 de tiers comptait parmi nos tâches les plus fastidieuses : il fallait parcourir manuellement de longs documents à la recherche d’exceptions de contrôle. La solution Petual.ai, une Snowflake Native App, a analysé plus de 20 de ces rapports et identifié automatiquement les contrôles pertinents et les exceptions potentielles. Le temps de préparation a diminué de plusieurs jours, ce qui permet aux auditeurs de se concentrer sur les constats à haut risque.\u003C/p\u003E\n\u003Ch2\u003ELes audits opérationnels s’appuient désormais sur les données disponibles dans Snowflake\u003C/h2\u003E\n\u003Cp\u003EAuparavant, il était difficile d’exécuter rapidement nos audits opérationnels, car les éléments probants étaient dispersés entre plusieurs sources et leur collecte exigeait des réunions et des revues détaillées des processus.\u003C/p\u003E\n\u003Cp\u003EComme nos données sont déjà disponibles dans Snowflake, CoCo extrait rapidement de ces sources les informations propres à chaque contrôle. Nous consacrons ainsi notre temps à les valider. Auparavant, nous devions attendre plusieurs semaines pour obtenir et analyser ces éléments probants. Cette approche nous offre une visibilité en temps quasi réel sur des domaines tels que la gestion des vulnérabilités, ainsi que l’état des accès et de la sécurité des systèmes clés.\u003C/p\u003E\n\u003Cp\u003ENous avons également créé des skills réutilisables qui suivent l’avancement des observations issues des audits terminés :\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EPrincipaux indicateurs de sécurité de notre plateforme Salesforce\u003C/li\u003E\n\u003Cli\u003EGestion des vulnérabilités de nos actifs de production\u003C/li\u003E\n\u003Cli\u003EIndicateurs de sécurité et de gouvernance des principales bases de données de notre compte Snowflake\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003ED’autres skills sont prévues à mesure que nous lançons de nouveaux audits. Avec CoCo, nous avons augmenté le nombre et la complexité de nos audits, tout en accélérant la communication des constats et la production des rapports.\u003C/p\u003E\n\u003Ch2\u003EL’assurance continue libère du temps pour les risques stratégiques\u003C/h2\u003E\n\u003Cp\u003ELe rôle de l’auditeur interne évolue : de gardien des données historiques, il devient conseiller en risques stratégiques.\u003C/p\u003E\n\u003Cp\u003EÀ mes yeux, le principal changement concerne nos échanges avec les dirigeants du business. Comme l’IA prend en charge les activités courantes de conformité, mon équipe peut fournir aux équipes produit, ingénierie et finance des éclairages data-driven tournés vers l’avenir, en complément de nos constats.\u003C/p\u003E\n\u003Cp\u003EPour les responsables de l’audit qui envisagent la même évolution, l’assurance continue ouvre quatre possibilités :\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EUne assurance élargie grâce aux tests portant sur l’ensemble de la population.\u003C/li\u003E\n\u003Cli\u003EMoins de friction avec le business, grâce à la diminution des demandes manuelles d’éléments probants.\u003C/li\u003E\n\u003Cli\u003EPlus de temps pour permettre aux auditeurs de se concentrer sur les risques stratégiques, la culture et les menaces émergentes.\u003C/li\u003E\n\u003Cli\u003EUn framework de gouvernance qui accélère le business, car les risques sont détectés avant de devenir des problèmes.\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003EJe suis fière de ce que mon équipe crée chez Snowflake. Avec le bon socle data, même l’une des fonctions les plus traditionnelles de l’entreprise peut transformer ses méthodes de travail.\u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003EPrêt à réinventer vos propres pratiques d’audit ? Voici comment vous lancer :\u003C/b\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cb\u003ECommencez par un contrôle à fort impact :\u003C/b\u003E choisissez un processus à fort volume, comme les revues d’accès ou les tests du cycle order-to-cash, pour lequel tester l’intégralité de la population produit rapidement des résultats.\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003ECentralisez vos données dans Snowflake :\u003C/b\u003E chargez dans un environnement unique et gouverné les principaux jeux de données issus de différents systèmes, notamment la facturation, les revenus, les RH ainsi que les journaux d’accès et d’audit, afin de tester l’intégralité des populations.\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003ECréez avec Snowflake CoCo et les Fonctions Cortex AI :\u003C/b\u003E transformez la collecte manuelle des éléments probants et la création de rapports en compétences et applications réutilisables pour une surveillance 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