About Haryana Knowledge Corporation Ltd. (HKCL)
Haryana Knowledge Corporation Ltd. (HKCL) is a government-supported entity that plays a pivotal role in implementing IT-driven solutions across education, skill development, and public administration in Haryana.
It operates as a technology partner for several government initiatives and is known for driving digital transformation at scale.
One of its major collaborations is with the Haryana Kaushal Rozgar Nigam Limited (HKRNL), a government body responsible for facilitating temporary employment opportunities across various departments.
HKCL was entrusted with managing the end-to-end document verification process for all HKRNL applicants, ensuring the process was not only efficient but also transparent and bias-free.
This partnership placed HKCL at the center of a monumental verification task, prompting the need for an AI-powered solution to streamline operations at scale.
The Challenge
Imagine being tasked with verifying over 7 million documents, each critical to someone’s future. This was the reality for Haryana Knowledge Corporation Ltd. (HKCL) as they managed the recruitment process for Haryana Kaushal Rozgar Nigam Limited (HKRNL).
With approximately 8,00,000 candidates submitting 7–8 documents each, the manual verification process was not only time-consuming but also prone to human error. The sheer volume led to delays, inconsistencies, and a significant drain on resources.
But what if a solution existed that could analyze, verify, and filter thousands of documents in minutes, not months?
Enter DocuExprt, an AI-powered document verification platform that’s redefining how institutions like HKCL manage scale, speed, and accuracy.
What follows is not just a case study, it’s a glimpse into the future of document intelligence powered by artificial intelligence.
Embracing AI with DocuExprt
To tackle this monumental task, HKCL turned to DocuExprt, an AI-powered document verification platform. DocuExprt’s technology automates the extraction and comparison of data from various documents, ensuring accuracy and efficiency.
By leveraging machine learning algorithms, the platform can identify discrepancies between submitted documents and application data, flagging inconsistencies for review.
Key Features of DocuExprt’s AI Verification
Automated Data Extraction:
DocuExprt uses advanced OCR and ML models to extract data from structured (like PDFs) and semi-structured (like scanned images) documents even if quality varies.
Error Detection & Mismatch Alerts:
It automatically compares the extracted document data with the information provided in application forms, flagging mismatches or missing fields.
AI-Generated Remarks:
When discrepancies are found, the system generates remarks for review, helping operators take quicker decisions without scanning every line manually.
Filtered Merit List Generation:
The system can instantly filter candidate lists based on predefined criteria such as category, gender, age, or academic percentage—automating shortlist creation.
The Impact: Efficiency and Accuracy at Scale
HKCL witnessed a significant transformation. The AI-driven approach not only expedited the verification process but also enhanced accuracy, reducing the likelihood of errors that could affect candidate outcomes.
The success has paved the way for scaling the solution to process all 800,000 candidate applications, totaling over 7 million documents.
What HKCL Had to Say About Us?
The HKCL official teams appreciated the platform’s capabilities and acknowledged its potential to eliminate manual intervention, thereby significantly reducing time, errors, and human effort in handling such a massive scale of document verification.
AI in Document Verification
The challenges faced by HKCL are not unique. Organizations worldwide struggle with the complexities of document verification. DocuExprt is tackling these challenges by offering:
Speed:
Automated processes significantly reduce verification time.
Accuracy:
Machine learning algorithms minimize human error.
Scalability:
AI systems can handle vast volumes of data without compromising performance.
According to a report by Fortune Business Insights, the global identity verification market size was valued at $11.97 billion in 2024 and is projected to grow to $39.82 billion by 2032, exhibiting a CAGR of 16.4% during the forecast period.
Fortune Business Insights
Why This Matters: The Future of Document Verification
HKCL’s experience is just one example of how AI is changing the landscape of document verification in large-scale environments.
DocuExprt represents a new era of document verification where institutions no longer need to choose between scale and accuracy.
- Reduce the time required to review and manage documents.
- Reduce the need for manual labor and minimise errors.
- Enhanced accuracy and ensure all documents are verified.
Explore Deep Dives
Conclusion: A New Era of Verification
HKCL’s collaboration with DocuExprt proves that even the most complex verification workflows can be streamlined, secured, and scaled using intelligent automation.
By embracing technologies like DocuExprt, they not only enhance operational efficiency but also ensure greater accuracy and fairness in recruitment processes.
As AI continues to evolve, so too will the possibilities for faster, fairer, and more efficient verification across industries, from education to recruitment and beyond.