The GAO audit findings can be overwhelming to federal government agencies. The GAO report for your agency is out, and you have to act fast. The clock is ticking on your deadline to submit a corrective action plan (CAP).

You could try to go through the GAO report line by line, but that would take weeks—maybe even months. And you still might not get it all right. What if there was a way to use AI/ML and Robotic Process Automation (RPA) to help you quickly comply with GAO audit findings?

Believe it or not, there is. In this blog post, we’ll show you how federal government CIOs can use AI/ML and automation technologies as RPA to quickly comply with GAO audit findings.

How AI/ML and RPA Can Help with GAO Compliance

The GAO has been issuing reports on federal government agencies for over 100 years. In that time, they’ve developed a process for auditing agencies and identifying areas of non-compliance. This process is based largely on human judgment and can be slow and error-prone. AI/ML can help automate the GAO audit process, making it faster and more accurate.

Here are a few ways AI/ML can help with GAO compliance:

• Automated data analysis: AI/ML can quickly analyze large amounts of data to identify areas of non-compliance. This can help agencies quickly identify and correct problems.
• Automated report generation: AI/ML can automatically generate reports on GAO audit findings, making it easy for agencies to submit corrective action plans.
• Predictive analytics: Using predictive analytics, AI/ML can predict areas of non-compliance before GAO audits are performed. This can help CIOs proactively identify and correct GAO compliance issues before they become problems. Predictive analytics can also be used to predict GAO audit findings, helping agencies prepare for GAO audits in advance.

In addition to AI/ML, federal government CIOs can also use automation technologies to help with GAO compliance. 

Automation can help agencies quickly and accurately respond to GAO audit findings.

Here are a few ways RPA can help:

• Data entry: Automated data entry can be used to automatically enter GAO audit findings into GAO report forms. This helps agencies quickly submit GAO reports and CAPs, allowing them to meet GAO compliance deadlines.
• Data visualization: Automated data visualizations can help CIOs understand GAO audit findings quickly and easily. They allow CIOs to see the data behind GAO audit findings and make informed decisions about how to correct them.
• Automated testing: Automated software testing can help agencies quickly and accurately test their systems for GAO compliance. This helps agencies ensure that their systems meet GAO requirements and avoid costly fines.

Our team understands how to leverage the most advanced technologies such as AI/ML and RPA to solve everyday problems. Please contact us at info@neevsys.com to discuss how we can bring AI/ML and RPA solutions to modernize your business.

Author: Shainan Patel, Managing Director, NeevSys Inc. (www.neevsys.com)

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