Does anyone use any advanced analytics (e.g. Machine Learning, AI, etc.) in their Travel and Entertainment audit specifically to enhance continuous monitoring and outlier identification?

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SVP Corporate Audit in Energy and Utilities2 years ago

We employ mass data analytics. It's more advanced than not using it and just using small samples, but we have master data analytics and use tools to help us do that. We use AI in limited instances at the moment. However, we have plans to develop further and our list of potential use cases moving forward is increasing. We see it as a great opportunity to drive improvements to our processes and results.

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Vice President in Finance (non-banking)2 years ago

We leverage computer aided auditing techniques in advanced analytics for T&E audit. Leveraging Concur or Quickbook reports are also helpful..

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Director of Finance in Consumer Goods2 years ago

Yes we do use computer aided auditing techniques in advanced analytics for travel and entertainment audit. We also make use of analytics reports from Concur and Happay. 

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India Head and Director of Global Finance Shared Services in Hardware2 years ago

Yes, many companies and auditors leverage advanced analytics, including machine learning and artificial intelligence, to enhance continuous monitoring and outlier identification in the Travel and Entertainment (T&E) audit process. These technologies offer powerful capabilities to analyze large volumes of data quickly and identify patterns, anomalies, and potential Fraud. 

Here are a few examples of how advanced analytics can be applied in T&E audit:

Anomaly Detection: Machine learning algorithms can be used to develop models that learn from historical T&E data. These models can then identify unusual spending patterns or transactions that deviate significantly from the norm, potentially indicating fraudulent activities or policy violations.

Predictive Analytics: By analyzing historical T&E data, predictive models can be developed to forecast future expenses or identify trends that may impact the organization's finances. This helps auditors in planning and risk assessment

Automation and Efficiency: Machine learning algorithms can automate the process of reviewing and categorizing T&E expenses, saving auditors time and reducing the risk of human error. Additionally, AI-powered bots can assist in flagging potential issues or policy violations in real-time, enabling continuous monitoring of T&E transactions.

It's worth noting that the extent to which advanced analytics are used in T&E audits may vary across organizations and depend on factors such as the size of the company, available resources, and the complexity of the T&E processes. However, the integration of these technologies is becoming increasingly common as organizations seek to enhance the effectiveness and efficiency of their audit procedures.

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