Intact Analytics Use Case: Risk-Based Auditing

AI in Audit-Review Automation – How Does It Work? 

Maybe you are wondering how exactly artificial intelligence will work in audit-review automation and how you will benefit. 

Intact Analytics uses several predefined rules based on your experience, Natural Language Processing, and learning algorithms to do the following: 

• Instantly analyze large amounts of data for inconsistencies, learnings, and more 
• Perform statistical pattern analysis on the audit level 
• Showing trends, correlations, and more to help you focus on what’s most important

This will enable you to optimize your audit-review automation. Work better, faster, and smarter. 

Learn more about the functionalities involved in the process and how different user roles benefit from them. 

(Business)-Rules 

Intact Analytics lets you utilize your staff’s expertise and deep business understanding in the form of business rules. Your team will define rules together with us to set Intact Analytics up for success. 

Intact Analytics uses business rules to analyze large amounts of data instantly. This reveals inconsistencies – e.g. if one point in the checklist has a good rating, a specific other one cannot have a bad rating. Additionally, this analysis will provide you large-scale, aggregated trend data.  

See how that plays out for common roles in audit-review automation: 

• Reviewer (Automated Pre-Reviews): Utilize Intact Analytics to perform large scale data checks: E.g. if 3.1 of the checklist has a good rating, 9.5 cannot have a bad rating, or if the overall score of an audit varies more than 10% from the last audit. 
• Review Manager (Aggregated Level): Shows you how many topics/risks were flagged. E.g. in which sector/region, trends, patterns, correlations. 

AI – Anomaly Detection 

Intact Analytics’ AI-based anomaly detection lets you perform statistical pattern analysis and will thus direct your attention in the right direction. 

Discover trends and correlations, you have never seen before and increase your review integrity. 

See how that plays out for common roles in audit-review automation: 

• Reviewer (Automated Pre-Reviews): Benefit from smart, automated analysis – AI helps you to perform statistical pattern analysis on the audit level. 
• Review Manager (Aggregated Level): Make better decisions based on common pattern analysis, e.g. which patterns occur in which region, sector, sections, etc. 

AI  – Natural Language Processing

Natural language processing helps you discover in-depth insights: E.g. how many topics/risks were flagged and in which sector/region as well as trends, patterns, and correlation. 

Through this knowledge, your team can access insights into written information directly, previously only accessible by human-powered in-depth analyses. 

Act on complex written data now. 

See how that plays out for common roles in audit-review automation: 

• Reviewer (Automated Pre-Reviews): Intact Analytics NLP utilizes the power of Natural Language Processing to check text fields. For example if the topic “listeria” is in the non-conformity or any other free text field, or if the topic critical control point (CCP) is in the mitigation description. 
• Review Manager (Aggregated Level): Grants you access to high-level audit result data and lets you plan better for the future. Shows you how many topics/risks were flagged. E.g. in which sector/region, trends, patterns, correlations. 

Difference to Business Intelligence

To people unfamiliar with the topic, the difference between Artificial Intelligence (AI) and Business Intelligence (BI) may be unclear at first glance. However, the difference is significant. Both tools have their legitimacy and specific use cases, but BI tools cannot cover what AI tools can.

Simply put, AI tools in general and Intact Analytics specifically is a true “workhorse,” a full-scale software tool, and not just visualizations. It provides no-code SQLs, flagging and inspection of individual audits, and ready-to-use tools for reviewers.

Meaning that Intact Analytics performs tasks and analyses for you previously done by humans, whereas BI solutions “only” show you what’s there in a structured way.

Learn More

Interested in more? Book a free product demo today and get full insight into the product!