您的浏览器禁用了JavaScript(一种计算机语言,用以实现您与网页的交互),请解除该禁用,或者联系我们。 [汤森路透]:人工智能时代审计能力框架 - 发现报告

人工智能时代审计能力框架

信息技术 2026-05-04 汤森路透 静心悟动
报告封面

The audit profession faces a fundamentalchallenge that traditional continuingprofessional education (CPE) cannot solve. According to theThomson Reuters®Institute 2024 AuditSurvey of 180 auditprofessionals acrossthe United States,United Kingdom,and Canada, roughlytwo-thirds of firms areconsidering addingprogressive digitaltechnologies to theiraudit workflow, yetonly a minority believetheir firm is harnessingtechnology to its fullpotential. While CPE compliance ensures auditors accumulate hours, it does not guarantee theydevelop the competencies required to navigate artificial intelligence-powered workflows,evolving client expectations, and intensifying regulatory scrutiny. Audit firms need a strategic shift from static, compliance-focused training to anAI-era audit competency frameworkthat develops critical skills progressively across allexperience levels. This framework addresses five core competencies: AI literacy and toolproficiency, enhanced professional skepticism, data analytics and visualization, strategiccommunication and advisory skills, and continuous learning agility. According to theThomson Reuters® Institute 2024 Audit Surveyof 180 audit professionalsacross the United States, United Kingdom, and Canada, roughly two-thirds of firmsare considering adding progressive digital technologies to their audit workflow, yetonly a minority believe their firm is harnessing technology to its full potential. The gapbetween ambition and execution stems not from lack of awareness, but from inadequatecompetency development infrastructure. This white paper presents a practical framework for building future-ready auditors throughprogressive skill development. By anchoring training programs in three foundational pillars(culture, purpose, and technology) and implementing experience-level-specific learningpaths, audit firms can transform their talent development approach. The result: auditorswho leverage AI as a force multiplier while exercising enhanced professional judgment,firms that achieve measurable audit quality improvements, and organizations that attractand retain top talent in an increasingly competitive market. The competency crisis: Why traditional trainingno longer works Audit has evolved far beyond compliance verification. Today’s clients demand strategicinsights, proactive risk identification, and advisory services that inform critical businessdecisions. They expect auditors to function as trusted business advisors who providetransparency, governance expertise, and forward-looking analysis, not just accuratefinancial statements. This expectation shift collides with a troubling reality: despite substantial traininginvestments, audit quality challenges persist. The Public Company Accounting OversightBoard (PCAOB) has reported that approximately 40% of audits reviewed contain oneor more Part I.A deficiencies — serious findings related to insufficient appropriate auditevidence. These deficiency rates remain stubbornly elevated even as firms increasetraining budgets and CPE hours. The disconnect becomes clearer when examining what quality management standardsactually require. Modern standards demand demonstrated competency, not justaccumulated CPE credits. Firms must show that professionals can apply knowledgeconsistently across engagements, exercise appropriate professional skepticism, and adaptto complex, evolving circumstances. Hours spent in training sessions do not automaticallytranslate into these capabilities. The disconnect becomes clearer when examining what quality management standardsactually require. Modern standards demand demonstrated competency, not justaccumulated CPE credits. Firms must show that professionals can apply knowledgeconsistently across engagements, exercise appropriate professional skepticism, and adaptto complex, evolving circumstances. Hours spent in training sessions do not automaticallytranslate into these capabilities. Firms must showthat professionalscan apply knowledgeconsistently acrossengagements,exercise appropriateprofessionalskepticism, and adaptto complex, evolvingcircumstances. Compounding this challenge is the multigenerational workforce dynamic. Partnerstrained on traditional methodologies now work alongside digital-native staff expectingtechnology-enabled workflows and continuous learning cultures.The Thomson ReutersInstitute 2024 Audit Surveyfound that 68% of respondents cited attracting and retainingskilled professionals as a high priority, with 75% of U.S. respondents highlighting this ascritical. Bridging this generational divide requires more than periodic training events. Itdemands a comprehensive competency development framework that meets professionalswhere they are while preparing them for where the profession is heading. The AI disruption in audit AI-powered tools now automate data extraction, identify anomalies, assess risk patterns,and generate preliminary analytics that previously required hours of manual work.According to the 2024 Aud