AI for EdTech

AI for admissions and enrollment platforms

Turn the 11pm program question into a booked advisor call.

For admissions and enrollment platforms. Answer applicants from the live catalog, book the next step and pre-fill applications from their documents, inside the product your institutions already use, under your name. Use it to win renewals, or sell it as a paid AI tier.

Built for: Enrollment CRM, application and student-recruitment platforms.

Already built or tried AI? Get it scored with the AI Scorecard.

apply.northstarcampus.com / find-a-program

In · Applicant message, 11:12 pm

I do medical billing and want to move into healthcare IT. I can do two evenings a week and need to start before spring. Will my community college credits transfer?

Out · Pathly

Health Information Technology Certificate

Evenings, Tue and Thu · Starts Jan 13 · 2 terms · $3,840

IT Support Fundamentals

Online, evenings · Starts Jan 6 · 10 weeks · $1,950

Up to 15 credits can transfer. Transfer Credit Policy · §2

Advisor call booked · Thu 4:30 pm CT · lead in CRM

Then the transcripts: transfer form pre-filled, 12 credits suggested for the registrar.

Run it step by step on the Pathly page.

Try it step by step

Illustrative demo on a fictional institution. Not client work.

Where these products get stuck

What gets in the way, and how we handle it.

  1. 01

    Questions arrive when nobody is there

    Answers from the live catalog, then a booked call

    Cites the catalog and policy pages, and books the advisor call in the CRM and calendar your product already connects to.

  2. 02

    Staff retype documents

    Documents read into the application

    Pre-fills fields with a source for each and lists what's missing; staff approve anything that affects a decision.

  3. 03

    Yield shows up too late

    Early yield signals

    Shows which programs are behind last year's pace, using each institution's own definitions.

  4. 04

    Trust is the purchase criterion

    Controls designed for institutions' security reviews

    Student data isn't used to train models for anyone else, each institution can switch it off, and staff approve what it prepares.

AI inside your product

The modules that fit this kind of platform.

Each one is shown on a fictional institution.

What it connects to: Answers from each institution's catalog and published policies, and writes leads and bookings to your CRM and scheduling tools through your APIs. Documents stay in your storage. The Build Sprint uses your real catalog and synthetic applicant documents.

  • From the first program question to a checked application.

    Fits: Admissions, enrollment, credentialing, CE and corporate learning catalogs

  • Ask your enrollment and retention data a question in plain English.

    Fits: SIS, analytics, student success, compliance-training completion

Proof

What we have built that this rests on.

57 featured AI case studies: AI products and brownfield AI builds, each written up on our Work page.

Regulated investment platform

Financial Services · Investment Operations Software

Adding production AI around a regulated investment platform without replacing its .NET core

Production AI and automation added around a regulated .NET investment platform instead of rebuilding the core.

BrownfieldRegulatedAWS
Read case study

MIRA

Healthcare & Wellness · Multi-clinic intake SaaS

Clinics sign up, pay per provider and run their own AI patient intake

The AI intake worked in three practices but was hard coded. Now any clinic signs up, pays per provider and runs it, and names never reach the model.

AI-native productMulti-tenantHIPAA-aligned
Read case study

Dental clinical documentation AI

AI engine · Review and approve

AI clinical documentation inside the dentist appointment workflow

Live transcription, patient context and AI-drafted clinical notes with dentist review and approval.

HealthcareClinical AIHuman-in-the-loop
Read case study

Read next: Applicants ask at 11pm. Your admissions platform should answer, and book the next step

How it works

Three ways to start, each at a fixed price.

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. Pathly is assembled from our cited-retrieval and adaptive-intake engines; the Build Sprint is where it is proven on your catalog. If you've already built or tried AI, start with the AI Scorecard.

EdTech Product Review · 30 minutes, no chargeStart here. We look at your product with you, agree the buyer outcome you want, and tell you which of the three below fits.

Book a 30-minute Product Review

No AI yet, and a module fits

Build Sprint

$10,000 fixed3 weeks

Pick it when: One of our modules delivers the outcome you want.

Pathly · Cohortly

  • One buyer outcome (2–3 related capabilities) working in your staging, behind a feature flag
  • Pull requests to your repo, built on your catalog and synthetic or de-identified data
  • Quality and safety evals, the cost to serve and a packaging recommendation
  • A fixed-price quote for production

Something new, or a plan first

Planning Sprint

$5,000 fixed2 weeks

Pick it when: You need something our modules don't cover, or want a plan before you build.

  • Where AI fits across your product, including beyond our modules
  • A prioritized capability map, with what each one depends on
  • A readiness review of your architecture, data and permissions
  • A fixed-price quote to build it and take it to production

AI already built or tried

AI Scorecard

$5,000 fixed2 weeks

Pick it when: You've already built or tried an AI feature in your product, live or not.

  • One AI feature you've built, tested in staging on 50 of your own cases
  • Data-safety and misuse tests, and an accessibility pass on the AI screens
  • Cost per learner and a packaging recommendation
  • A scorecard, ranked fixes, draft security answers and a fixed quote

Not a compliance audit or certification.

Production, at a fixed quote

We take what your Sprint built or planned live for your customers, by pull request, with no standing production access. It typically includes load testing at your peak and a spend cap per institution. Your Sprint or Scorecard fee counts toward it.

After go-live, optional support

The product is finished and yours to run. If you want us to stay on: a named lead engineer, a monthly quality and cost report, testing before any model change, and more capabilities, each at its own fixed quote.

Stop after any Sprint and keep what you got.

How a Build Sprint runs

  • In the setup week we map your integrations and agree what the Sprint touches.
  • We follow your coding standards, tests and CI; your engineers review and merge every pull request.
  • Half at signature, half when the Sprint Pack is delivered.
  • Your time: about 2 to 3 hours a week from a product owner, plus an engineer to review pull requests.

Product improvements you can measure

What we agree to measure: quality and cost on test sets in the Build Sprint, adoption and outcomes once it is in production, so the decision rests on your numbers, not ours.

01

Answers outside office hours

Measure

Inquiries answered and advisor calls booked after hours

02

Qualified leads

Measure

Inquiry-to-application conversion

03

Document intake

Measure

Minutes of staff time per application

04

Re-engagement

Measure

Stalled applications that resume

05

Earlier yield signals

Measure

Programs flagged behind pace before the deposit deadline

We set the success measures with you in the setup week.

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.

  • Works with what you run

    Reads catalog, courses, rosters and gradebook through the APIs and roles your product already has.

  • Synthetic data in Sprints

    Sprint work uses synthetic or de-identified data and ships as pull requests to your repo.

  • Cited, and staff approve

    Answers cite their source; anything that changes a grade, application or record waits for staff.

We work within 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 data

Questions we hear on the first call

Straight answers before you book.

Does it decide admissions or aid?

No. Pathly is designed to answer from published pages and prepare records; admission, credit and aid decisions stay with staff.

Can it handle transfer-credit questions?

It answers from your published transfer policy and suggests course equivalents for the registrar to approve.

Which CRMs and calendars does it work with?

The ones your product already connects to, through its existing integrations and APIs. We map them in the setup week.

Does it work in Spanish?

English and Spanish conversations are part of the design, and both are tested in the Build Sprint.

See your catalog answer the 11pm question.

Bring one product, workflow or AI feature. In 30 minutes we tell you which of the three ways to start fits, 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.