Implementing an AI solution for automating the review and validation of customer contracts in a B2C context presents several challenges that need to be addressed to ensure efficiency, accuracy, and customer satisfaction. These challenges include:

  • Variability and Complexity of Contracts
  • Accuracy and Reliability
  • Integration with Existing Systems
  • Data Privacy and Security
  • Scalability
  • Training Data Availability and Bias
  • User Feedback and Continuous Improvement


Using a custom ETL process:

  1. Contracts files (pdf/doc) are upload into a common storage
  2. Using DocAI (text recognition service) files are read and converted into text files
  3. GenAI (ChatGPT), given a context, analyzes each contract and provide /outputs relevant information like
  4. Contract details
  5. Customer details
  6. Missing information
  7. Data is stored in a relational database
  8. PowerBi Analysis

Value Delivered

The traditional approach – using human manual intervention – could add up delays and additional costs, depending on the volume of contracts to be reviewed. A typical HR would take between 10 to 20 minutes to review and collect data for a single contract. On average, one person would be able to review 32 contracts daily. Using AI, the full process was automated, and cost was reduced to 0,04 € per contract reviewed, being able to process 500 contract per hour for a small AI service.

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