EMP Intelligence
Achieve faster, fairer, and more consistent decisions while preserving holistic review. Empower your team with predictive insights for yield, class shaping, and student success.
The Challenge
Enrollment teams are stretched thin—managing rising expectations with limited staff and tight budgets. From application review to yield strategy, they’re balancing competing priorities while chasing ambitious enrollment goals in a shrinking and increasingly competitive market.
Our Solution
EMP-Intelligence was built to do what generic AI tools can’t: think like an enrollment professional. It reads applications with precision and speed, provides class-shaping insights, and generates outreach suggestions for high-risk students before they melt or withdraw. From first touch to first-year retention, EMP-Intelligence helps institutions of every kind see what’s coming next and act with confidence. The result: smarter decisions, stronger outcomes, and a team empowered to do more with less.
What You’ll Unlock
- Speed at Scale
Process tens of thousands of applications in hours rather than weeks.
- Consistency and Fairness
Apply identical evaluation criteria across all applicants to reduce variability.
- Holistic Review
Analyze essays, recommendations, and context beyond GPA/test scores.
- Strategic Foresight
Predict yield and retention, and shape your class with data-driven scenarios.
- Clear Auditability
Maintain explicit control over considered information and keep transparent traces.
- Seamless Workflows
Output designed to integrate into your existing Slate environment.
How it Works
- Hybrid AI Architecture
EMP-Intelligence tool blends large-language-model reasoning with supervised and unsupervised learning to classify, score, and predict outcomes across your full applicant story. Trained on your historical data and refreshed with current cycles, it produces structured, explainable summaries and recommendations for human decision-makers.
- Evaluation Signal Set
- Academic preparation and context
- Personal qualities and contributions
- Program fit and potential
- Institutional mission alignment
- Human in the Loop
The system generates recommendations and profiles; your team remains in control—reviewing, calibrating, and making final decisions.
What Makes EMP Different
- Enrollment Leaders
EMP principals bring decades in EM leadership, early adoption of analytics, and a track record of improving funnel performance across diverse institutions.
- Research & Engineering
Academic and industry researchers with backgrounds in economics, engineering, and AI development—experienced in predictive modeling, neural networks, and applied LLMs for education and advising.
Use Cases by Institution Type
Highly Selective & Flagships
- Scale holistic review without compromising nuance
- Optimize admit mixes with scenario testing
- Monitor equity across subgroups with consistent criteria
Broad Access & Regional
- Identify at-risk populations early for advising and support
- Focus outreach where it matters for yield
- Standardize application review for consistency among distributed teams
Private & Mid-Sized
- Accelerate review with small teams
- Improve read consistency across staff and seasons
- Clarify decision guidance for committees and appeals
Getting Started with Em-Powerhouse
- Discovery & Data Fit
Quick assessment of data readiness and goals.
- Pilot
Limited-scope run to validate fit, accuracy, and workflow.
- Scale
Integrate outputs into Slate, train staff, and expand use cases.
Frequently Asked Questions
Does EMP Intelligence replace human readers?
No. The system handles the heavy lift of application reading, but final decisions always remain with admissions professionals. The tool provides consistent recommendations, risk scores, and class-shaping insights—your staff apply nuance and judgment.
What kinds of data does the system use?
We configure the model based on your institutional policies. You have explicit control over what data is considered, and every recommendation is auditable.
How soon can we see value?
Most institutions begin with a pilot in one program or cycle milestone. Many see efficiency gains and predictive insights within the first admission cycle.
Will this work with Slate?
Yes. EMP AI Reader outputs are designed to integrate with Slate for easy triage, reporting, and decision workflows.