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Admissions & EnrollmentResearch University

AI-Powered Admissions for Research Universities

Deploy purpose-built AI agents that streamline application review, automate prospect engagement, and improve yield — fully integrated with your existing SIS and compliant with FERPA from day one.

The Problem

Research universities process tens of thousands of applications each cycle while managing complex compliance requirements, siloed departments, and legacy systems that don't communicate.

Admissions staff spend hours on repetitive tasks — answering the same prospect questions, manually routing transcripts, and chasing yield data across disconnected platforms.

The result is slower decisions, inconsistent applicant experiences, and counselors stretched too thin to focus on high-value relationship building that actually moves the needle on enrollment.

Overwhelming Application Volume

Research universities routinely receive 30,000–80,000 applications per cycle. Staff cannot manually review, triage, and communicate with every applicant at the pace modern students expect.

Avg. 72-hour response lag to prospective student inquiries

Siloed Systems and Data

Banner, PeopleSoft, Slate, and legacy LMS platforms rarely share data seamlessly, forcing admissions staff to manually reconcile records and increasing the risk of compliance errors.

Up to 40% of staff time lost to manual data entry and system switching

Yield Management Blind Spots

Without real-time behavioral signals, counselors struggle to identify which admitted students are at risk of choosing a competitor — until it's too late to intervene effectively.

Average yield rate at R1 universities hovers near 35–45%

Inconsistent Prospect Communication

Prospective students receive generic, delayed responses that fail to reflect their specific program interests, academic background, or stage in the funnel — eroding trust and interest.

60% of Gen Z applicants expect a response within 24 hours

Transcript and Credential Evaluation Bottlenecks

Evaluating international transcripts, dual-enrollment credits, and non-traditional credentials is time-intensive and inconsistent across reviewers, slowing admission decisions.

International transcript review averages 5–10 business days per file

AI Capabilities

Intelligent Prospect Engagement Agent

A purpose-built AI agent answers prospective student questions 24/7 — covering programs, deadlines, financial aid, and campus life — with responses personalized to each student's profile and inquiry history.

Automated Application Triage

AI agents pre-screen and categorize incoming applications by completeness, program fit, and priority flags, routing files to the right reviewers and surfacing missing materials automatically.

Yield Prediction and Intervention

Behavioral signals from email opens, portal logins, and event attendance feed a yield-risk model that alerts counselors when admitted students show declining engagement — enabling timely outreach.

AI-Assisted Transcript Evaluation

Agentic Credential accelerates transcript review by extracting course equivalencies, flagging credential anomalies, and generating structured evaluation summaries for staff review.

SIS and CRM Integration Layer

Agents connect natively to Banner, PeopleSoft, Slate, and Salesforce Education Cloud — syncing applicant data in real time without manual exports or middleware workarounds.

Compliance-First Data Architecture

All agents run on your institution's own infrastructure. FERPA-compliant by design, with role-based access controls, audit logging, and zero data sharing with third-party AI vendors.

Implementation Timeline

1

Discovery and System Mapping

2–3 weeks

Audit existing admissions workflows, map data flows between SIS, CRM, and document management systems, and define agent roles and escalation rules with your admissions leadership team.

  • Workflow audit report
  • System integration map (Banner/PeopleSoft/Slate)
  • Agent role definitions and escalation matrix
  • FERPA compliance checklist
2

Agent Configuration and Integration

3–4 weeks

Deploy and configure the Prospect Engagement Agent, Application Triage Agent, and Transcript Evaluation Agent. Establish live API connections to your SIS and CRM environments.

  • Prospect Engagement Agent (live on portal and web)
  • Application Triage Agent connected to SIS
  • Agentic Credential pipeline for transcript intake
  • Staff-facing agent dashboard
3

Yield Intelligence Activation

2–3 weeks

Ingest historical enrollment and behavioral data to train yield-risk models. Configure counselor alert workflows and build automated nurture sequences for at-risk admitted students.

  • Yield-risk scoring model
  • Counselor alert and intervention workflow
  • Automated admitted student nurture sequences
  • Yield dashboard with cohort-level analytics
4

Staff Training and Continuous Optimization

2 weeks + ongoing

Train admissions staff on agent oversight, escalation handling, and dashboard interpretation. Establish a feedback loop so agents improve with each application cycle.

  • Staff training sessions and documentation
  • Agent performance baseline report
  • Quarterly optimization review cadence
  • Institutional ownership of all agent code and data

Expected Outcomes

-97%
Prospect Response Time
48–72 hours averageUnder 2 minutes (AI-handled)
+183%
Application Review Throughput
120 files reviewed per staff member per week340+ files triaged and routed per week
+21%
Yield Rate (Admitted Students)
38% average yield46% with AI-assisted intervention
-86%
Transcript Evaluation Time
7 business days averageUnder 24 hours with AI pre-processing

Before & After AI

Before

Generic email blasts sent on a fixed schedule, with 48–72 hour response times to individual inquiries handled by overextended counselors.

After

Personalized, real-time responses from an AI agent trained on your programs, policies, and FAQs — available 24/7 across web, portal, and SMS channels.

Before

Staff manually open each application to check completeness, assign reviewers, and send missing-document reminders — a process that consumes hours of daily administrative time.

After

AI agents automatically assess completeness, flag priority applications, route files to appropriate reviewers, and trigger missing-document outreach without staff intervention.

Before

Counselors rely on intuition and end-of-cycle reports to identify students who may not enroll, often discovering yield losses too late to act.

After

Real-time yield-risk scores surface disengaged admitted students daily, enabling counselors to intervene with targeted outreach at the moment it matters most.

Before

Evaluators manually parse international transcripts and dual-enrollment records, applying inconsistent standards across a team and creating multi-day backlogs.

After

Agentic Credential extracts structured data from transcripts, maps course equivalencies, and generates a standardized evaluation summary for staff sign-off in hours.

Before

Admissions data lives in disconnected silos — Slate for CRM, Banner for SIS, a separate document portal — requiring manual exports and reconciliation to get a unified applicant view.

After

AI agents maintain a live, unified applicant record by syncing data across Banner, Slate, and document systems in real time, eliminating manual reconciliation entirely.

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