Resume Classification and Profiling with CoPilot

Client Goal 
The client needed an automated system to classify and profile candidates based on their skills and job descriptions. With hundreds of applicants applying for multiple positions, manually screening resumes was time-consuming and slowed the hiring process. 

Challenges Faced 

• High volume of candidate applications made manual screening inefficient. 

• Matching candidate skills with job requirements required significant effort and often caused delays. 

• Lack of centralized processing and meta data management led to inconsistent candidate profiling. 

• Urgent need for a solution that enabled real-time identification of suitable candidates. 
  
  

Our Approach / Contribution 

Star Knowledge implemented a Power Automate workflow integrated with CoPilot Studio to automate resume parsing, profiling, and classification. Resumes submitted for each job were automatically uploaded to a SharePoint document library, where the workflow extracted candidate information and compared it against the defined job description. The system calculated a match percentage and created candidate summaries, updating them as meta data fields for easy review and filtering. 

Solutions Delivered 

• Automated resume ingestion from job applications into SharePoint. 

• Parsing and extraction of candidate data using Power Automate. 

• Evaluation of candidate-job match percentage through CoPilot Studio. 

• Meta data enrichment for candidate profiles, including custom views for quick filtering. 

• Real-time screening dashboards for recruiters to prioritize high-match candidates. 
  
  

Business Outcomes / Results 

• Time Savings: Reduced manual resume screening from days to hours, enabling near real-time processing. 

• Improved Accuracy: Automated matching reduced human error in candidate profiling. 

• Enhanced Recruitment Efficiency: High-potential candidates identified quickly, allowing faster interview scheduling. 

• Operational Visibility: Recruiters gained a clear view of candidate pools through structured meta data and custom views. 
  
  

Conclusion / Impact 
The solution transformed the recruitment process, enabling rapid identification of qualified candidates and drastically reducing screening time. The client can now engage with the right candidates within a single business day, improving hiring efficiency and overall workforce planning.