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Kapoor"}}],"image":{"id":"image-53ff40b115","height":"2500","src":"/adobe/dynamicmedia/deliver/dm-aid--93316383-5b50-4e12-b404-747fd63150d7/15-ai.jpg?quality=85&preferwebp=true","lazyEnabled":true,"isLcpImage":false,"width":"4167",":type":"snowflake-site/components/image"},"timeToRead":"10","publicationDate":"NOV 09, 2026","tag":{"tagText":"AI e ML","tagColor":"#C54985"},"title":{"lines":["Come il team Internal Audit Snowflake ha ridotto del 50% il lavoro sul campo con l’AI"],"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-102f98da45",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{},":itemsOrder":[]},"button":{"id":"button-bad822c094","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-439c643e42","text":"\u003Cp\u003E\u003Cu\u003E\u003C/u\u003EPer molto tempo l’internal audit è stato visto come una funzione rivolta al passato, che passa al setaccio campioni storici per confermare che i controlli abbiano funzionato. Nel team Internal Audit Snowflake, l’AI ha cambiato le cose.\u003C/p\u003E\n\u003Cp\u003EAbbiamo ridotto del 50% il tempo dedicato alla raccolta delle evidenze, ai test e alla produzione dei report di audit. Complessivamente, nel 2026 abbiamo risparmiato più di 3500 ore di audit e oltre 1500 ore per i control owner in tutta l’azienda.\u003C/p\u003E\n\u003Cp\u003ESia che si tratti di esaminare i log di accesso ai sistemi o di analizzare i pattern delle principali transazioni finanziarie, l’AI ci permette di passare da un controllo storico “point-in-time” a un monitoraggio continuo e automatizzato. Non ci limitiamo più a individuare ciò che è andato storto sei mesi fa; ora possiamo far emergere i rischi principali per controlli e casi d’uso specifici e porre domande puntuali.\u003C/p\u003E\n\u003Cp\u003EEcco come l’AI sta aiutando il team Internal Audit Snowflake a riscrivere il playbook dell’audit, con dati reali e impatti misurabili.\u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003EPunti chiave\u003C/b\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EIl tempo di lavoro sul campo per la raccolta delle evidenze e la produzione dei report è calato del 50%, passando da mesi a settimane (risultati interni a settembre 2026)\u003C/li\u003E\n\u003Cli\u003EI test sono passati dai campioni a una copertura del 100% della popolazione e a insight proattivi per testare diversi controlli e report chiave, oltre ai casi d’uso di scoping (order management, report chiave di Workday, scoping dei ricavi, controlli di accesso chiave)\u003C/li\u003E\n\u003Cli\u003EIl team Internal Audit Snowflake ha risparmiato oltre 3500 ore nel 2026 (più di 1000 nello scoping dei rischi e più di 2500 in test e documentazione) e i control owner altre 1500 ore\u003C/li\u003E\n\u003Cli\u003EL’AI si occupa dell’elaborazione dei dati e dell’analisi iniziale, mentre gli auditor rispondono di ogni conclusione\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003ENulla di tutto questo funzionerebbe se i nostri dati fossero sparsi in sistemi scollegati tra loro. Con i dati di billing, ricavi, HR, accessi e audit log già live in Snowflake, possiamo eseguire i test su popolazioni complete senza dover ricucire insieme le fonti. Usiamo \u003Ca href=\"https://www.snowflake.com/it/product/snowflake-coco/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ESnowflake CoCo\u003C/a\u003E, il coding agent AI in Snowflake, per sviluppare gli script, le dashboard e le app che fanno questo lavoro.\u003C/p\u003E\n\u003Ch2\u003EOgni valutazione finale spetta agli auditor\u003C/h2\u003E\n\u003Cp\u003EMentre spingiamo sempre più sull’AI, per me fiducia e responsabilità contano più di qualsiasi guadagno di efficienza. L’AI è il nostro acceleratore, la supervisione umana è la nostra ancora. Il mio team lavora con un modello human-in-the-loop:\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cb\u003El’AI prepara, gli auditor concludono:\u003C/b\u003E l’AI si occupa dell’elaborazione dei dati, del riconoscimento dei pattern e della riconciliazione iniziale. Gli auditor effettuano ogni valutazione finale e ogni risk assessment e gestiscono direttamente ogni conversazione con i leader aziendali.\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003Egli auditor verificano l’output dell’AI prima che qualcuno ci faccia affidamento:\u003C/b\u003E quando l’AI redige la documentazione dei test o segnala eccezioni, un auditor la controlla. Il nostro tempo si è spostato dalla raccolta delle evidenze alla loro validazione.\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003Egli strumenti di terze parti funzionano all’interno di Snowflake:\u003C/b\u003E strumenti come Petual.ai funzionano come Snowflake Native App, quindi la loro elaborazione resta all’interno del nostro account Snowflake, sicura e isolata.\u003C/li\u003E\n\u003C/ul\u003E\n\u003Ch2\u003EI numeri concreti: più efficienza e assurance estesa\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-b0c2c70c8f","text":"\u003Ctable\u003E\n\u003Cthead\u003E\u003Ctr\u003E\u003Cth\u003ECategoria di metrica\u003C/th\u003E\n\u003Cth\u003EImpatto misurabile ottenuto\u003C/th\u003E\n\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EScoping di rischi e audit\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E\u003Cb\u003EOltre 1000 ore\u003C/b\u003E risparmiate all’anno nell’esecuzione di query multiple e nell’analisi delle dashboard per valutare diverse permutazioni dello scoping di ricavi e dati finanziari, oltre allo scoping dei principali audit operativi.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EOttimizzazione dei tempi di test, documentazione e reporting\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E\u003Cb\u003EOltre 2500 ore risparmiate all’anno sui\u003C/b\u003E tempi di test e documentazione manuali per diversi controlli finanziari e operativi e per i principali requisiti di certificazione. Questo permette agli auditor di concentrarsi su aree strategiche a rischio elevato e di lavorare alla soluzione dei rilievi insieme agli stakeholder.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003ETempo risparmiato dai control owner\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E\u003Cb\u003EOltre 1500 ore risparmiate all’anno\u003C/b\u003E grazie alla semplificazione dell’esecuzione dei controlli, della raccolta delle evidenze e dei processi di richiesta.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EVisibilità sui rischi e copertura della popolazione\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003EPassaggio dal tradizionale \u003Cb\u003Ecampionamento statistico casuale\u003C/b\u003E a un’\u003Cb\u003Eassurance sul 100% della popolazione\u003C/b\u003E per casi d’uso specifici, con visibilità sulle eccezioni in tempo quasi reale.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EVelocità dal lavoro sul campo al report di audit\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E\u003Cb\u003ERiduzione del 50% del tempo di lavoro sul campo\u003C/b\u003E per la raccolta delle evidenze e la produzione dei report (da mesi a settimane).\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-055703c2f1","text":"\u003Ch2\u003E\u003Cu\u003E\u003C/u\u003ECome l’AI supporta i nostri principali controlli SOX e finanziari\u003C/h2\u003E\r\n\u003Ch3\u003EScoping dei flussi di ricavi\u003C/h3\u003E\r\n\u003Cp\u003EUna “skill” è un workflow riutilizzabile che l’AI riconosce ed esegue su richiesta. Abbiamo una skill in CoCo che eseguiamo per definire lo scope dei nostri flussi di ricavi lungo le dimensioni chiave in tempo quasi reale e inviare via email uno snapshot on demand, con un risparmio di oltre 500 ore all’anno. Quando i consumi hanno un picco, lo vediamo subito e coinvolgiamo gli stakeholder sull’impatto sui controlli chiave, anticipando così il lavoro di compliance SOX.\u003C/p\u003E\r\n\u003Ch3\u003ETest automatizzati dei controlli chiave order-to-cash\u003C/h3\u003E\r\n\u003Cp\u003ESelezionare e testare i campioni a mano su volumi elevati di ordini era lento e soggetto a errori. Oggi le funzioni \u003Ca href=\"https://www.snowflake.com/en/product/features/cortex/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ECortex AI\u003C/a\u003E, come AI_EXTRACT, estraggono i termini chiave dai documenti d’ordine, compresi i termini di riconoscimento dei ricavi, le date di inizio e fine e le condizioni di fatturazione. Un’app sviluppata con CoCo li valida rispetto al nostro sistema di billing e revenue recognition, così testiamo ogni ordine e intercettiamo le anomalie nel momento in cui si verificano.\u003C/p\u003E\r\n\u003Ch3\u003ETest automatizzati dei report chiave\u003C/h3\u003E\r\n\u003Cp\u003ECi servivano insight sulle modifiche “reali” rilevanti per l’audit da testare negli audit log, dove è difficile analizzare quelle informazioni. La complessità dei processi e la forte dipendenza da estrazione, analisi e verifica manuale dei report complicavano le decisioni e rallentavano la velocità dell’audit.\u003C/p\u003E\r\n\u003Cp\u003ECon CoCo e Streamlit abbiamo creato un’architettura automatizzata “Report-as-a-Service” (RAAS) che acquisisce gli audit trail, abilitando un monitoraggio continuo e basato sui dati e la razionalizzazione digitale dei processi.\u003C/p\u003E\r\n\u003Cp\u003EIl risultato: oltre 450 ore di test risparmiate all’anno e un’assurance sul 100% della popolazione, con visibilità sull’audit in tempo quasi reale.\u003C/p\u003E\r\n\u003Ch3\u003EMonitoraggio dei controlli di accesso chiave (controlli generali IT)\u003C/h3\u003E\r\n\u003Cp\u003EPer mantenere accessi privilegiati e permessi allineati alle nostre policy aziendali, le dashboard sviluppate con CoCo cercano continuamente eccezioni di provisioning e deprovisioning, violazioni della segregation of duties (SoD) ed escalation di privilegi non autorizzate. Le dashboard segnalano le anomalie nel momento in cui si verificano su tutta la popolazione, così non estraiamo più campioni per le revisioni periodiche.\u003C/p\u003E\r\n\u003Ch3\u003ETest di riconciliazione automatizzati\u003C/h3\u003E\r\n\u003Cp\u003ERiconciliare le buste paga significava confrontare a mano tre o quattro report HR e payroll distribuiti su più di otto cartelle di lavoro Excel. Ora una data app sviluppata con CoCo fa il lavoro pesante e segnala automaticamente le discrepanze. I control owner sono i più avvantaggiati: questa app restituisce loro oltre 500 ore all’anno.\u003C/p\u003E\r\n\u003Cp\u003ELo stesso schema può funzionare per qualsiasi riconciliazione che attinga dati da più report.\u003C/p\u003E\r\n\u003Ch3\u003ETest e documentazione dei controlli SOX\u003C/h3\u003E\r\n\u003Cp\u003ERedigere la documentazione SOX e aggiornare i template di test richiedeva settimane. Oggi inviamo i nostri template e le evidenze a Petual.ai, che funziona come Snowflake Native App e redige la documentazione aggiornata. Gli auditor esaminano l’output finale e i tempi di consegna si sono ridotti a poche ore.\u003C/p\u003E\r\n\u003Cp\u003EQuesto libera anche capacità per attività di advisory più incisive su rischi emergenti e strategici elevati e per sviluppare skill CoCo per il monitoraggio continuo dei rischi principali, con un impatto di valore.\u003C/p\u003E\r\n\u003Ch3\u003ERevisioni SOC 1\u003C/h3\u003E\r\n\u003Cp\u003EEsaminare i report SOC 1 di terze parti era uno dei lavori più noiosi: documenti lunghi, passati al setaccio a mano per trovare eccezioni di controllo. La Snowflake Native App Petual.ai ha analizzato oltre 20 di questi report, individuando automaticamente i controlli rilevanti e le potenziali eccezioni. I tempi di preparazione si sono ridotti di giorni e gli auditor dedicano il loro tempo ai rilievi a rischio elevato.\u003C/p\u003E\r\n\u003Ch2\u003EOggi gli audit operativi attingono le evidenze dai dati in Snowflake\u003C/h2\u003E\r\n\u003Cp\u003EUn tempo era difficile condurre rapidamente i nostri audit operativi, perché le evidenze erano in fonti frammentate e raccoglierle richiedeva walkthrough e riunioni.\u003C/p\u003E\r\n\u003Cp\u003ECon i nostri dati già in Snowflake, CoCo recupera rapidamente le informazioni specifiche sui controlli da tutte quelle fonti e noi dedichiamo il nostro tempo a validarle. Prima aspettavamo settimane per ottenere e analizzare quelle evidenze. Questo approccio ci dà visibilità in tempo quasi reale su aree come la gestione delle vulnerabilità e lo stato di accessi e sicurezza dei sistemi chiave.\u003C/p\u003E\r\n\u003Cp\u003EAbbiamo inoltre sviluppato skill ripetibili che monitorano i progressi sulle osservazioni degli audit completati:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EMetriche di sicurezza chiave per la nostra piattaforma Salesforce\u003C/li\u003E\r\n\u003Cli\u003EGestione delle vulnerabilità sui nostri asset di produzione\u003C/li\u003E\r\n\u003Cli\u003EMetriche di sicurezza e governance per i database chiave nel nostro account Snowflake\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EAltre skill sono in programma con l’avvio di nuovi audit. Con CoCo abbiamo aumentato il numero e la complessità degli audit che svolgiamo e consegniamo rilievi e report più rapidamente.\u003C/p\u003E\r\n\u003Ch2\u003EL’assurance continua dà agli auditor più tempo per il rischio strategico\u003C/h2\u003E\r\n\u003Cp\u003EIl ruolo dell’internal auditor sta evolvendo da archivista del passato a consulente strategico del rischio.\u003C/p\u003E\r\n\u003Cp\u003EPer me il cambiamento più grande è nelle conversazioni con i leader aziendali. Con l’AI che gestisce il lavoro di compliance di base, il mio team porta ai team di prodotto, engineering e finance insight prospettici e basati sui dati insieme ai nostri rilievi.\u003C/p\u003E\r\n\u003Cp\u003EPer i responsabili dell’audit che stanno valutando lo stesso passaggio, l’assurance continua rende possibili quattro cose:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EAssurance più ampia grazie ai test su tutta la popolazione\u003C/li\u003E\r\n\u003Cli\u003EMeno attriti con il business, perché le richieste manuali di evidenze si riducono\u003C/li\u003E\r\n\u003Cli\u003EPiù tempo degli auditor dedicato al rischio strategico, alla cultura e alle minacce emergenti\u003C/li\u003E\r\n\u003Cli\u003EFramework di governance che aiuta il business a muoversi più rapidamente, perché i rischi sono intercettati prima di trasformarsi in problemi\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EProvo orgoglio per quello che il mio team sta costruendo in Snowflake. Con la giusta data foundation, anche una delle funzioni più tradizionali di un’azienda può cambiare il proprio modo di lavorare.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003EVuoi riscrivere le regole dei tuoi audit? Inizia così:\u003C/b\u003E\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cb\u003EInizia da un controllo a forte impatto:\u003C/b\u003E scegli un processo a volume elevato, come le revisioni degli accessi o i test sull’order-to-cash, dove i test sull’intera popolazione ripagano più rapidamente.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003ERiunisci i tuoi dati in Snowflake:\u003C/b\u003E fai confluire in un unico posto governato i set di dati chiave provenienti da più sistemi, come fatturazione, ricavi, HR, e log di accesso e di audit, così da poter eseguire i test sull’intera popolazione.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003ESviluppa con Snowflake CoCo e Cortex AI Functions:\u003C/b\u003E trasforma la raccolta manuale delle evidenze e il reporting in skill e app ripetibili per il monitoraggio continuo.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EMantieni il controllo in mano agli auditor:\u003C/b\u003E lascia che l’AI prepari il lavoro, mentre il tuo team lo esamina e si assume la responsabilità di ogni conclusione.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EProva \u003Ca href=\"https://www.snowflake.com/it/product/snowflake-coco/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ESnowflake CoCo\u003C/a\u003E oggi stesso o parla con il tuo team Snowflake di continuous assurance per la tua funzione di audit.\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003EVuoi vedere come i leader finance di Snowflake, DoorDash, Stripe e Northern Trust stanno mettendo l’AI al lavoro?\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/expedition/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003E\u003Cb\u003EGuarda on demand le sessioni dedicate all'area finance di Expedition 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