Case Study
Education Institution
Improved Accuracy
The Challenge: Simplifying Admission Decisions with AI
The client, a large corporation managing multiple for-profit higher education institutions, faced growing challenges in streamlining their admission decision processes. The institution needed to assess student eligibility based on various documents submitted during the application process, including transcripts, identification documents, and admission forms. These documents were stored in Salesforce.com (SFDC), containing both structured data like student demographics and unstructured data like scanned PDFs of admission requirements.
“AI-powered decision support helped us reduce admission decision turnaround time by 70%, ensuring consistent eligibility outcomes while scaling seamlessly across multiple campuses.”
The admission team relied heavily on manual reviews to extract and validate information, which led to several operational inefficiencies:
Time-Consuming Document Reviews
Reviewing student documents manually slowed down the admission decision process.
Data Fragmentation
Combining structured data from Salesforce with unstructured data from uploaded PDFs created inconsistencies.
Error-Prone Validation
Manual document reviews left room for human errors and inconsistent decision-making.
Scalability Challenges
As the volume of applicants increased, the institution struggled to maintain review timelines without additional resources.
Compliance Risks
Admission decisions needed to adhere to strict eligibility criteria, making consistent compliance difficult with manual processes.
The client needed an AI-powered solution that could extract, analyze, and validate data from multiple sources to improve decision accuracy and operational efficiency.
Wizr Labs: Building a Custom AI-Based Decision Support Assistant
Wizr Labs custom-built an AI Decision Support Assistant that leveraged Retrieval-Augmented Generation (RAG) and Agentic AI to streamline the admission decision process. The solution combined structured data from Salesforce with unstructured document data, enabling faster and more accurate eligibility assessments.
Key capabilities of the solution included
Data Extraction and Harmonization
Automatically extracted student data from Salesforce, including demographics, enrollment history, and previous coursework.
Processed unstructured documents (PDFs, scanned transcripts) to extract key information such as GPA, course credits, and identification details.
AI-Based Eligibility Validation
Combined structured and unstructured data to assess student eligibility against pre-defined admission criteria.
Identified missing or incomplete documents and flagged applications for further review.
Conversational Decision Support Interface
Natural language interface allowed admission officers to query student eligibility status and receive detailed, AI-generated explanations.
Provided instant responses on whether a student met eligibility requirements or what documents were still needed.
Automated Compliance Checks
Validated admission decisions against regulatory guidelines and institutional policies.
Ensured consistent decision-making across all applications.
Scalable Deployment
Integrated seamlessly with Salesforce, enabling rapid rollout across multiple campuses without disrupting existing workflows.
The Results: Transforming Admission Processes with AI
The AI-powered Decision Support Assistant delivered significant improvements in the client’s operational efficiency and decision accuracy:
70% Faster Admission Decisions
Automated data extraction and eligibility validation reduced decision turnaround time.
Consistent Compliance Checks
AI agents ensured every admission decision aligned with institutional policies and regulatory requirements.
Improved Accuracy
Automated document analysis reduced human errors, leading to more consistent eligibility outcomes.
Seamless System Integration
The solution integrated directly with Salesforce, eliminating data silos and manual data entry.
Scalable Operations
The AI system scaled across multiple campuses, enabling the client to handle higher volumes of applications without increasing headcount.
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