GOALS

• Streamline their company's onboarding process by automating data extraction from resumes and application forms, allowing HR to focus on candidate engagement
• Implement a self-service portal for employees to easily access and update their personal information by uploading documents like driver's licenses and automatically updating their profiles
• Improve data accuracy and consistency in their HR system by reducing manual data entry errors and ensuring data integrity through automated document processing.

Frustrations

• Struggling with manual data entry for employee onboarding, leading to inefficiencies and potential errors
• Finding it challenging to extract data from unstructured documents like resumes, requiring significant manual effort
• Facing difficulties in integrating OCR solutions with their existing HRIS systems, creating data silos and hindering seamless workflows.

GOALS

• Automate invoice processing workflows to reduce manual data entry, improve accuracy, and speed up payment cycles
• Gain real-time insights into their accounts payable data by extracting key information from invoices and feeding it into their accounting software
• Reduce the risk of human error and fraud by implementing automated data validation checks during invoice processing, ensuring data integrity.

Frustrations

• Spending countless hours manually entering data from invoices into their accounting software, leading to bottlenecks and reduced productivity
• Dealing with errors and inconsistencies in invoice data due to manual entry, impacting the accuracy of financial reports
• Finding it challenging to manage a high volume of invoices during peak periods, leading to delays and potential late payment fees.