Ai Recruiter
Closed State & local contract opportunity Posted
- Solicitation number
- 2138526
- State
- New York
- Responses due
Opportunity facts
- Jurisdiction
- Points of contact
-
- Kenneth Bovasso bovassok@oldwestbury.edu (516) 876-3194
- Suzette Foster fosters@oldwestbury.edu (516) 876-3094
Updated .
About this opportunity
The State University of New York at Old Westbury is requesting proposals for an AI-powered student recruitment and engagement platform, with proposals due September 21, 2026. MWBE utilization goals apply to this procurement under New York State requirements for contracts exceeding $25,000.
The platform must function as an autonomous digital recruiter managing individualized inbound and outbound engagement with prospective and current students across text, phone, email, and web chat channels, operating 24/7 in at least 20 languages. The solution must be specifically designed for higher education recruitment and trained on SUNY Old Westbury's application processes, curriculum, extracurriculars, and value propositions, with messaging that adapts dynamically based on student interactions rather than rigid scripts. Required capabilities include transcript request automation with AI-enabled processing and delivery; real-time analytics and ROI reporting; CRM and admissions-systems integration; support for leads from both SUNY Old Westbury and the vendor's proprietary network; virtual front desk capabilities; and operational support for student tasks such as form submissions and appointment scheduling. Optional scope includes post-enrollment student success engagement through personalized check-ins, resource connections, targeted alerts for specific student cohorts, and outreach to enhance student belonging and campus involvement.
Qualified vendors must demonstrate prior experience implementing AI communication or recruitment platforms at higher education institutions and the ability to customize AI learning models to institutional goals. Vendors maintaining a network of high school students to facilitate prospective-student connections are preferred.
The SUNY standard contract terms impose extensive insurance requirements including $1,000,000 Commercial General Liability per occurrence, $2,000,000 Technology Errors and Omissions, and $10,000,000 Data Breach and Privacy/Cyber Liability per occurrence. Contractors must comply with FERPA, HIPAA, GDPR, and state privacy laws; maintain SOC 2 Type 2 or ISO/IEC 27001 certifications; and are prohibited from using SUNY data for AI training without prior written consent. Data breaches must be reported within two business days. Contractors must return or securely destroy all SUNY data within 30 days of termination using NIST SP 800-88 standards.
Opportunity text
The State University of New York at Old Westbury is seeking proposals from qualified vendors to provide an AI-powered platform that enhances student recruitment, engagement, and success. The platform should offer automated, multilingual, and adaptive interaction capabilities to support prospective and current students 24/7 across multiple communication channels. The ideal solution will extend beyond recruitment, offering a seamless continuum of support throughout the student lifecycle. 1. AI Recruitment Automation ● Act as an autonomous digital recruiter capable of managing individualized inbound and outbound engagement with applicants & prospective applicants across text, phone, email, and web chat. ● Be specifically designed for higher education recruitment and trained on SUNY Old Westbury's specific application processes, curriculum, extracurriculars, and value propositions. ● Adapt messaging content and mode of contact dynamically based on student interactions and behavior (not based on rigid scripts). ● Operate 24/7 in at least 20 languages (including English) to ensure accessibility and responsiveness. ● Provide support for both leads supplied by SUNY Old Westbury and those generated through the vendor's proprietary network. ● Real-time analytics and ROI reporting ● Virtual front desk capabilities ● CRM and other admissions systems integrations 2. Transcript Request Automation ● Integration with transcript request systems ● AI-enabled processing and delivery 3. (Optional) Student Success Engagement ● Post-enrollment AI engagement with students through check-ins, nudges, and personalized resource connection ● Targeted alerts and reminders for specific student cohorts (e.g., housing forms, advising appointments) ● Outreach that enhances student belonging and involvement on campus ● Operational and Administrative Support - Executes student tasks like form submissions or appointment scheduling across departments. ● Analytics and Reporting - Includes actionable insights on engagement, campaign effectiveness, and student service responsiveness. Vendor Qualifications ● Experience with higher education institutions implementing AI communication or recruitment platforms. ● Ability to customize AI learning models to institutional goals. ● Network of high school students where SUNY Old Westbury can make meaningful connections and engage with students who are interested in the institution ***Bidders' Questions Due By: Friday 09/04/2026, 5pm EST ***College Responses To Questions Due By: Monday 09/14/2025 5pm EST ***Bids Due By: Monday 09/21/2026 2pm EST ***All bids are to be emailed to procurement@oldwestbury.edu*** ***Please attest to acceptance of Exhibit-A, Exhibit A-1 and Exhibit-B in proposal submission*** Business enterprises awarded an identical or substantially similar procurement contract within the past five years: NONE Service-Disabled Veteran-Owned Business (SDVOB) SDVOB Goal: 0.00% Minority / Women Business Enterprise contracting goals (MWBE) MBE Goal: 0.00% WBE Goal: 0.00% Disadvantaged Business Enterprise contracting goals (DBE) DBE Goal: 0.00%
Files
| File | Type | Posted |
|---|---|---|
| AI Assistant_26-27.pdf | ||
| Exhibit A-1 (2).docx | DOCX document | |
| Exhibit B - General Contract Terms and Conditions (w.o Instructions) 12.10.25.docx | DOCX document | |
| Exhibit A June 21 2023 (1).doc | DOC document |
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