as The leading gold producer in the Americas used AI to audit more than 2,600 documents and identify contractual risks and how your company can do the same with Vennx

In a market where complex contracts involve millions in investments and multiple regulatory variables, auditing documents manually is more than inefficient, it's a risk. It was in the face of this scenario that the company in question, one of the giants in infrastructure and construction, decided to transform its auditing process with the support of artificial intelligence.

More than accelerating the analysis, the objective was clear: to identify inconsistencies, ensure traceability, and transform large volumes of unstructured information into actionable data for contractual risk management.

The challenge

The organization needed to review complex and bulky contracts, looking for weaknesses and red flags that could compromise the legal and financial security of the operation.

The documents were spread out in multiple formats and sources, which hampered an assertive, standardized, and efficient analysis.

In addition, the internal team did not have a technological structure capable of carrying out this audit with the depth and agility required by a sector in constant transformation. It was precisely in this context that Vennx took action.

The Vennx approach: technology, strategy, and AI applied to unstructured data

The project was designed in strategic steps that guaranteed not only operational efficiency, but precision in identifying risks. The methodology combined consultative planning, data mining, machine learning, and a robust manual validation process.

Project stages:

• Initial planning: Collaborative sprints with sponsors to map expectations, define project governance, and build a clear schedule with strategic deliverables.
  
• Collection and analysis of contracts: Collection and evaluation of contracts and amendments to define the business rules that would guide the audit. This step also involved preparing the documents for automated processing.
  
• Technological setup focused on AI: Selection of the best tools for intelligent document reading. The Vennx team tested solutions for PDF, Excel, images and other formats, prioritizing performance and compatibility with company data.
  
• Tests and validation: After the initial analysis, the results underwent manual verification to eliminate false positives and ensure the reliability of the final report, which presented all the red flags and adjustment recommendations.
  

The numbers behind the project: scale and depth

• 13 contracts audited in depth
  
• 2,600 files processed, including:
  
• 1,674 PDFs
  
• 413 .xlsx files
  
• 151 images .jpg
  
• 110 sheets with macros (.xlsm)
  
• Other formats: .docx, .xlsb, .zip, .msg, .doc, .csv, .txt
  

With the application of artificial intelligence and data mining techniques, it was possible to cross business rules with evidence extracted directly from the files, increasing accuracy and reducing the manual effort of the legal and compliance team.

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The results: intelligent auditing with reduced effort and increased control

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Applying Vennx technology to contract auditing resulted in:

• Automated detection of previously invisible inconsistencies
  
• Full traceability of documents and decisions
  
• Operational efficiency, with weeks of gain compared to the traditional model
  
• Legal security, with insights guided by data and evidence
  

What does this represent for the future of contractual auditing?

This case shows how AI can (and should) be used in a practical way to reformulate audits, replacing repetitive effort with strategic analysis and decisions based on real data.

Companies that still audit contracts with spreadsheets, manual reading, and linear processes are taking unnecessary risks. Modern auditing is automated, intelligent, and connected to real business needs, and Vennx is leading this transformation with solutions that integrate technology, governance, and agility.

Talk to a Vennx expert and discover how to apply artificial intelligence to identify risks, anticipate failures, and ensure contractual compliance.