How every team in the enrollment cycle gets its hours back
Cut the repeatable manual work out of recruiting, transcript analysis, and credit evaluations, so your team spends its time on the judgment calls.
Manual processing is the bottleneck for every team
Each manual step adds time, and that compounds across teams. By the time an answer reaches a student, they've already committed somewhere else.
Enrollment
Every recruiting win turns into processing work. The better the cycle goes, the longer the backlog gets.
Admissions
Self-reported records, official transcripts, mid-year updates. Each one checked by hand, inside a window that doesn't move.
Registrar
Evaluations move one course at a time. Anything without a precedent sits in an inbox waiting on a faculty reply.
Grow the applicant pool without growing the processing team.
Reach transfer students where they're already looking, answer them before they commit elsewhere, and absorb the volume without adding seasonal help.
Pipeline
From purchased lists to students already planning their transfer inside the app they use.
Capacity
From peak season as overtime to peak season as a normal work week, on the same headcount.
Speed to answer
From weeks to an unofficial evaluation in minutes, before the applicant commits elsewhere.
EdVisorly Recruit
A transfer pipeline from students already researching, not a list you paid for.
EddyNavigate
Prospects get an unofficial credit evaluation in minutes; you get a named lead with intent.
EddyAI
First-year and transfer transcripts processed at any volume, so growth never waits on hiring.
Stony Brook grew applications 73%, from 37,000 to 64,000, without adding headcount.
“I no longer need to hire five to ten more processors.”
Spend peak season deciding, not processing
Let the platform do the intake. What reaches your readers is the exception, not the pile.
Intake
From sorting files by hand to every document routed to the right applicant, no labels, no metadata.
Reading
From every transcript scored by hand to every transcript scored before the review starts.
Verification
From a summer backlog of self-reported records to flagged discrepancies only, inside the window you actually have.
EddyMatch
Identifies which student, which school, and what type of document, with no one sorting.
EddyAI
Any transcript, any format, read to your rules instead of a generic standard.
EddyVerify
Self-reported records compared course by course; your team sees only what needs a human.
85% less time per transcript
“We had to recalculate unweighted GPAs for every applicant, regardless of where they came from. That took transcript processing from 45 seconds to over five minutes each.”
Automatically apply your existing equivalency rules, every cycle
Decide once, and let the record hold it. Courses with precedent apply automatically, and anything new routes to the faculty reviewer who owns it.
Consistency
From last cycle's equivalency living in someone's inbox to one stored decision, applied every time it comes up.
Governance
From faculty review over email to every action logged with reviewer identity, timestamp, and status.
Your queue
From informal credit questions landing on the official desk to unofficial evaluations answered on your website, before the application.
EddyDB
Recommends the next equivalency from your own past decisions; faculty approve or deny from a link, no login.
EddyNavigate
Prospects get an unofficial evaluation on your site, before they apply and before they email your office.
EddyAI
Reads the college transcript so EddyDB has something to evaluate. Required for EddyDB.
The AI suggests. Your faculty decide. The record is kept.
“Students had to send the same information multiple places to get ideally the same answer, and sometimes they were getting different answers.”
Works with your SIS, your CRM, and your document management.
Works with Slate, Banner, PeopleSoft, Colleague, Salesforce, OnBase. SOC 2 Type II. Tenant-isolated. Live in a single semester.
.avif)
.avif)
.avif)
.avif)
.avif)
See what this looks like for your workflow.
Bring the workflow that's slowing you down and we'll show you what it looks like here.
Frequently Asked Questions
Heading 1
Heading 2
Heading 3
Admissions operations most often, with the registrar involved before any credit equivalency module is configured. Enrollment leadership approves budget. We recommend all three in the first demo.
Heading 1
Heading 2
Heading 3
Yes. EddyDB recommends from your own past decisions and policies; faculty approve or deny by a tokenized link. Every action is logged with reviewer identity, timestamp, and status. No decision is automated.
Heading 1
Heading 2
Heading 3
Yes. EddyNavigate evaluations are labeled unofficial, returned to the prospect, and never enter the registrar's official queue.
Heading 1
Heading 2
Heading 3
It closes the gap between application and answer, and adds a transfer pipeline from students already researching in the EdVisorly app. Institutions typically start with one office and expand.
Heading 1
Heading 2
Heading 3
Both. High school transcripts for first-year review, college transcripts for transfer credit, on the same rules and integrations.
Heading 1
Heading 2
Heading 3
No. One platform, one record per student, written back to the SIS and CRM each office already uses. Modules are adopted separately.