Know Where Your Students Are Going, Before They Leave
Student Mobility Intelligence turns every evaluation into enrollment strategy: which feeder schools send your most successful transfers, where credit is being lost, which partner agreements need updating and which students need outreach this week.
What is Student Mobility Intelligence?
It is the LioraAI analytics module that maps transfer pathways, measures credit loss, flags retention risk and identifies which feeder schools and programs have the most unmet demand, giving enrollment leaders weekly, actionable information.
Who it’s for
VPs of enrollment and student affairs, institutional research, transfer center directors and leaders of partnerships between community colleges and universities. It also supports system offices that need a cross-campus view.
Institution-specific figures were reported by those institutions. Results vary with your current process, transcript volume and SIS configuration; we model your own numbers in the demo.
The Problems You Know Too Well
Students losing credit in transfer with no visibility until it’s too late
Articulation agreements that no longer reflect where students go
Feeder schools you can’t rank by student success
Reverse transfer handled by hand, if at all
Retention risk discovered after the census date
No shared data for transfer partnership conversations
Why Teams Choose LioraAI
Built with the people who do the work, around one idea: your rules, applied every time, with a person approving every decision.
Built on real evaluation data
Because LioraAI evaluates the transcripts, it knows exactly which credits applied, which became electives and which were lost.
Partnerships with evidence
See which sending institutions and programs produce your strongest transfers, and where new agreements would help most.
Early warning for advisors
Risk signals turn into a prioritized weekly outreach list.
Reverse transfer, found automatically
Students who have earned an associate degree at a partner college are surfaced for consent and conferral.
Simple for Staff. Documented for Everyone.
Collect
Evaluation, enrollment and outcome data from your SIS
Map
Pathways and credit loss by feeder school and program
Signal
Retention risk and reverse-transfer eligibility
Act
Advisor outreach and partnership priorities
Built for the Way Your Office Works
Transfer pathway mapping
Where students come from and where they go.
Credit-loss analysis
By feeder, program and course.
Retention risk signals
Weekly prioritized outreach lists.
Agreement opportunities
Data for new and updated articulation agreements.
Reverse transfer
Eligible students identified automatically.
System-wide view
Consortium and multi-campus reporting.
Community college leaders on transfer visibility
Registrars, VPs and IT leads at Tennessee community colleges explain what changed after LioraAI went live.
Read customer storiesWorks With Your Existing Systems
Frequently asked questions
Straight answers to what registrars, enrollment leaders and IT teams ask us most.
See all FAQs
SIS reports describe what already happened. Mobility Intelligence combines evaluation detail with enrollment data to show why it happened and what is likely next, down to the course and feeder school.
Yes. It shows which sending institutions produce your strongest transfer students and where credit loss is highest, which points to the agreements worth creating or revising.
Yes. It identifies students who have met a partner college’s associate degree requirements so the consent and conferral process can start.
Ellucian Banner and Colleague, Workday Student, PeopleSoft and Jenzabar through secure API or SFTP, with no manual exports.
Typically three to five weeks, depending on SIS configuration and data availability.
Related Modules
Guides from the registrar’s desk
See Student Mobility Intelligence on your transcripts.
Bring a few real transcripts to a 30-minute demo. We’ll run them live against your catalog and rules, and show you the review screen and the SIS write-back.