DAY ONE Sessions – Wednesday, November 12, 2025
HESS Member Institutions & Elite / Platinum Business Partner Presentations
Registration begins on Tuesday, November 11 at 6:00pm EST.
PLEASE NOTE: Session times and locations are subject to change. All DAY ONE meals are in the Archibald Dining room and ALL sessions are in the West Tower Wing. All times are eastern time (EST). The Business Partner Showcase in Cochran will be open from 8:00am EST to 6:00pm EST on DAY ONE and DAY TWO as well as specified times slots below.
*Morning Break drinks and snacks will be available between 9:30am EST and 10:30am EST and afternoon break drinks and snacks will be available between 2:30pm EST and 3:30pm EST in the HESS Business Partner Showcase in Cochran.
Facility Map – The Galt House Hotel Meeting Spaces (subject to change)

Presentation Title
From Pilots to Proof: A Practical AI Blueprint for Private Higher Ed
Session Time
4:00 PM
Location
Poplar
Brief Presentation Description
Too many campuses are stuck in pilot purgatory—slick demos that never reach students or staff. This session provides a pragmatic blueprint to ship measurable AI outcomes in a single term. Designed for private institutions with lean teams, tight budgets, and compliance constraints, it shows how to move from idea to “in production” without a moonshot.
We’ll outline an outcomes-first playbook and the architecture that supports it: a conversational front door for every service; targeted first-win use cases across fraud/risk, student-services routing, document intelligence, and data quality/migration; and the governance, security, and SLOs that make leaders and auditors comfortable. You’ll see how an AI layer can orchestrate tools you already own, respect FERPA with role-based access and audit trails, and report transparent metrics stakeholders can fund.
Attendees will get a concrete 90-day plan:
• Days 0–10: confirm business outcomes, define guardrails, stand up a minimal lovable product (MLP), and publish a success scorecard (e.g., time-to-decision, false-positive rate, first-contact resolution, data validation pass rate).
• Days 11–45: deliver 1–2 high-signal use cases—such as admissions fraud triage, eligibility, and urgency-aware routing, or OCR-to-database extraction for transcripts and applications.
• Days 46–90: expand users and connectors, harden performance and observability, and lock in process changes through training, change management, and QA.
Mini caselets will ground the approach: stopping fraud without stopping students; shrinking service backlogs with equitable routing; converting PDFs into trustworthy SIS fields; and migrating data with anomaly detection before cutover. We’ll emphasize what to measure, what to avoid (custom one-offs, unmanaged prompts, shadow data flows), and how to sequence work across enrollment, student success, IT, and finance.
Participants leave with a ready-to-use checklist: RACI for cross-functional execution, a starter SLO set, a privacy and data-handling policy map, and a template scorecard for cabinet-level reporting. If your goal is to replace pilots with proof—and show results this fiscal year—this session is your playbook. Bring your toughest constraint or use case; we’ll map it to the blueprint and suggest a first win you can deliver before finals week on your campus.
We’ll outline an outcomes-first playbook and the architecture that supports it: a conversational front door for every service; targeted first-win use cases across fraud/risk, student-services routing, document intelligence, and data quality/migration; and the governance, security, and SLOs that make leaders and auditors comfortable. You’ll see how an AI layer can orchestrate tools you already own, respect FERPA with role-based access and audit trails, and report transparent metrics stakeholders can fund.
Attendees will get a concrete 90-day plan:
• Days 0–10: confirm business outcomes, define guardrails, stand up a minimal lovable product (MLP), and publish a success scorecard (e.g., time-to-decision, false-positive rate, first-contact resolution, data validation pass rate).
• Days 11–45: deliver 1–2 high-signal use cases—such as admissions fraud triage, eligibility, and urgency-aware routing, or OCR-to-database extraction for transcripts and applications.
• Days 46–90: expand users and connectors, harden performance and observability, and lock in process changes through training, change management, and QA.
Mini caselets will ground the approach: stopping fraud without stopping students; shrinking service backlogs with equitable routing; converting PDFs into trustworthy SIS fields; and migrating data with anomaly detection before cutover. We’ll emphasize what to measure, what to avoid (custom one-offs, unmanaged prompts, shadow data flows), and how to sequence work across enrollment, student success, IT, and finance.
Participants leave with a ready-to-use checklist: RACI for cross-functional execution, a starter SLO set, a privacy and data-handling policy map, and a template scorecard for cabinet-level reporting. If your goal is to replace pilots with proof—and show results this fiscal year—this session is your playbook. Bring your toughest constraint or use case; we’ll map it to the blueprint and suggest a first win you can deliver before finals week on your campus.
Presenter Type
Business Partner Presentation
Sponsor

Business Partner Sponsor
N2N
Session Track
New & Emerging Technology
Lead Presenter Name
Kiran Kodithala
Lead Presenter’s Email Address
Co-presenter
Emily Rudin
Co-presenter Email #1


