The vendor required to provide applicant identity verification solution that supports college teams in reducing the workload associated with identifying and mitigating fraudulent admissions and financial aid applications.
- Solution must provide a secure verification portal for applicants to present their identification that will be reviewed by a machine-learning model.
- The tool may also generate a fraud risk score for each applicant prior to initiating the identity verification.
- Solution should include all required capabilities and may include the following optional capabilities:
• Machine-learning and AI powered tool to detect and flag potentially fraudulent applications (optional)
o Fraud scoring model must be explainable and auditable if included
• Applicant identity verification portal (required)
o Verification portal must support document and image (pdf, JPG, HEIC, PNG) uploads, identity checks, and secure communication.
o Compliant with national institute of standards and technology (NIST) identity assurance level 2 (NIST ial2)
o Must comply with accessibility standards and be mobile-friendly.
o Text and email notification capability to instruct student(s) to navigate to the portal to complete id verification
• Portal for agency staff to log in for applicant data review and verification status (required)
o Dashboard to review the status of id verification requests,
o Option for staff to manually trigger an id verification request if needed.
o Automation tools to reduce manual review)
o System must support role-based access control.
o Single sign-on authentication for agency staff
o Analytics and reporting to support decision-making
• API integration support for PeopleSoft sis (student information system) and microsoft d365 (reach CRM) (required)
o Integration with existing admissions and financial aid workflows
o Application submitted; verification required
o Financial aid verification review required
o Evaluation criteria submitted to SIS and CRM (customer relation management) as needed to trigger next step
• Modular implementation options tailored to college needs as necessary.
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