AI for admissions and enrollment platforms
Turn the 11pm program question into a booked advisor call.
Datics builds the AI that admissions and enrollment platforms ship inside their own product: a course finder that answers from the live catalog and books the next step, and document intake that pre-fills the application and waits for staff approval.
Built for: Enrollment CRM, application and student-recruitment platforms.
apply.northstarcampus.com / find-a-program
Northstar College · Pathly
DemoStep 1 of 5
Illustrative demo on a fictional institution. Not client work.
Where these products get stuck
- 01
Questions arrive when nobody is there
Prospective students ask about fit, cost, start dates and transfer credit at night. A static FAQ widget ends with a transcript, not an application.
- 02
Staff retype documents
Transcripts, certificates and letters arrive as PDFs and phone photos, and fields are typed in by hand every cycle.
- 03
Trust is the purchase criterion
Institutions now send AI questions in their security reviews: does the AI train on student data, can it be switched off, who approves what it does.
AI inside your product
The modules that fit this kind of platform.
Each one is a reference build shown on a fictional institution. It runs inside your product, on your data, and ships under your name.
Pathly
AI course and program recommendations
An advising agent that knows your catalog and books the next step.
Fits: Admissions, enrollment, CE and corporate learning catalogs
Intakely
Admissions document automation
Admissions documents in, a checked application record out.
Fits: Admissions and credentialing
How it works
One AI feature, working inside your product, in two weeks. $10,000, fixed.
Most admissions platforms start with Pathly's Course Finder on their real catalog: every institution in your product has one, and the demo is easy for your sales team to show.
- 01
EdTech Product Review
30 minutes, free
We look at your product with you and pick the module or capability that protects your next release, what it would cost to serve, and what your customers' security review will ask.
- 02
The Sprint
$10,000, two weeks, fixed
One AI feature working inside your product: running in your staging environment on your catalog, documents or synthetic data, behind a feature flag, delivered as pull requests. You also get quality and safety evals, a cost estimate on two models, a data-flow sheet and a fixed-price quote for production.
- 03
Targeted Unlock, then Capability Waves
Quoted at the end of the Sprint
The first production capability, delivered by pull request into your repo with no standing production access. Then the next module, on the foundation the first one built.
Built for education data
Controls your customers' security reviews ask about.
Each control is a design fact about how the module is built and how we work, not a compliance claim.
- Runs on your catalog, documents or data through the APIs your product already exposes. No rebuild.
- Sprint work uses synthetic or de-identified data and ships as pull requests to your repo. No production student data.
- Every answer that matters shows its source; material actions go to a person for approval.
- Built around FERPA, COPPA, accessibility and institutional requirements.
- Built to ship under your product's name. Model and hosting are your choice.
We build around your FERPA, COPPA, accessibility, security and institutional requirements. Compliance depends on the complete product, contracts, policies and operating environment; Datics does not present software engineering alone as legal certification.
How we handle student dataProduct improvements you can measure
What we agree to measure in the Sprint, so the production decision rests on your numbers, not ours.
Answers outside office hours
Inquiries answered and advisor calls booked after hours
Qualified leads
Inquiry-to-application conversion
Document intake
Minutes of staff time per application
Re-engagement
Stalled applications that resume
Proof
What we have built that this rests on.
33 case studies across 17 industries, 19 of them AI products or brownfield AI builds shipped inside software customers already use. Each EdTech module starts from one of those engines, so you are not paying for us to learn.
Document Intake Assistant
Financial Advisory · Document Intelligence / Intake Automation
Documents read into the record and multi-step forms pre-filled, with access kept separate
An assistant that reads the decks, notes and documents fund managers submit, pre-fills multi-step onboarding and due-diligence forms, scores them and keeps each user type to its own data.
Adaptive Intake Platform
Healthcare SaaS · Adaptive Intake / Multi-Tenant SaaS
Adaptive intake taken from a one-site prototype to a multi-tenant product
Intake that adapts its questions and writes a structured summary, taken from a single-practice prototype to a multi-tenant SaaS with self-serve onboarding, billing and full isolation.
Review-and-Approve Documentation
Dental Clinical Software · Human-in-the-Loop AI / Approval Gate
AI drafts, the professional approves: nothing is released until a person signs off
Appointment audio transcribed live and drafted into structured clinical notes with codes, which the dentist reviews, edits and approves before anything is released.
Read next: Applicants ask at 11pm. Your admissions platform should answer, and book the next step
Other EdTech platforms we build for
Workforce learning
Corporate LMS, CE and certification providers, bootcamp platforms
Startups and training providers
Funded EdTech startups, academies, marketplaces and training providers
Learning platforms and content
LMS, courseware, curriculum and content platforms
K-12 platforms
K-12 SaaS vendors serving districts, schools, teachers and families
Student records and analytics
SIS, analytics and student-success vendors
See one module on your own product.
Bring one product, workflow or AI initiative. In 30 minutes we pick the module that fits first, what it would cost to serve and what your customers' security review will ask.
Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.