The importance of internal audit is ever increasing. Internal audit has to be efficient and effective and as facts show, there is a constant need for it. However, in present technological context, artificial intelligence (AI) presents a positive and viable method. Internal auditing is an essential function tasked with providing assurance over the reliability, legal requirement, and economy of an organization’s financial and operational activities. The internal auditors act as crucial agents in exercising risk management within an organization. They discover problems which involved in detailed studies which put into monetary loss or inefficient running of the business. Their expertise helps in prevention and detection of fraud thus ensuring the company does not violate any existing law or corporation control policies. They protect the overall welfare of the organization, and help the decision-making process by highlighting some areas that can be improved and recommending the possible solutions. This proactive and strategic role improves overall governance by giving useful insights for ongoing improvement inside the organization. AI is transforming internal auditing by aligning operations with powerful data analytics and automation. Machine learning enables auditors to swiftly evaluate enormous datasets, discover patterns, and detect potential loopholes in real time. Advanced technologies driven by artificial intelligence ease ordinary and repetitive tasks leaving auditors to handle tough analysis and decision-making. Therefore, internal audit is a more intelligent function and adaptable in providing efficiencies and enhanced control in a growing environment. This paper discusses the AI which allow for automation of various internal audit processes and the various forms of AI Tools. Three principal areas of automation—the data extraction, analysis, reporting of business data and the task of sampling weighing the benefits of lower workspace and higher precision is included.