AI for EdTech

Pathly · EdTech AI module

An advising agent that knows your catalog and books the next step.

Pathly answers learner and applicant questions from your live catalog, recommends programs that fit, and turns the conversation into a qualified lead, a booked advisor call or a completed registration inside your existing systems.

A reference build, not software you license. It ships under your product's name.

apply.northstarcampus.com / find-a-program

Northstar College · Pathly

Demo
  • I do medical billing and want to move into healthcare IT. I can do two evenings a week and need to start before spring. What fits?

Step 1 of 5

Illustrative demo on a fictional institution. Not client work.

The problem

Prospective learners ask the same questions at 11pm: which program fits, what it costs, when it starts, whether credits transfer. Most chat widgets answer from a static FAQ and end with a transcript. The catalog, CRM and calendar sit in other systems, so the conversation never becomes an application.

The worked example

Northstar College (fictional). A working adult wants to move from medical billing into healthcare IT, can study two evenings a week and needs to start before spring.

Grounded in the live catalog and policy pages rather than a static FAQ. Qualification is captured as part of the conversation. Connects to the CRM and scheduling tools your product already uses. English and Spanish conversations. Multi-tenant, so each institution in your product gets its own catalog, rules and branding.

AI inside the workflow

Pathly inside the product, not a chatbot beside it.

Switch between the product as it ships today and the same screen with the module working inside it. Ask a question, then approve what it prepares.

Northstar · fictional product

Northstar today: advisors scroll inquiries, reread each thread and write every follow-up by hand.

No assistant

The product today. Every answer is reached by filtering, reading and clicking.

app.northstarcampus.com / admissions / inquiries

NorthstarDashboardAdmissionsStudentsCoursesReportsAdmin
AdmissionsInquiriesApplicationsAdvisor callsProgramsTemplates

Prospective students

5 of 5 records

Bulk actions
Search
RefProspectStatus
INQ-3101M. AlvarezOpen
INQ-3102D. ParkOpen
INQ-3104R. SinghOpen
INQ-3107T. BrooksOpen
INQ-3110A. HaddadOpen

Open each inquiry, look up the program, write the reply, book the call by hand.

The assistant runs Pathly, branded as Northstar Advisor, the way it would ship under your product's name.

Illustrative demo on a fictional institution. Not client work.

What it does

What Pathly does inside your product.

Best fit: Admissions, enrollment, CE and corporate learning catalogs.

Enroll

Answers prospective-student questions from the catalog and admissions rules, qualifies intent during the conversation, and books advisor calls or campus tours.

Course Finder

Recommends programs or courses from a learner's goals, background, schedule and budget, with the catalog page cited for each pick.

Learning Paths

Suggests the next course, certificate or CE credit for returning and corporate learners.

Aid and Registration Help

Answers deadline, fee and registration questions from your published policies and hands anything personal to staff.

Re-engage

Follows up with stalled applicants and inactive learners with a reason to come back, written from what they asked about.

How it works

One AI feature, working inside your product, in two weeks. $10,000, fixed.

In two weeks: Pathly running on your real catalog, with an eval set, a cost-to-serve estimate and a fixed quote to ship it in your product.

  1. 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.

  2. 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.

  3. 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 data

Work this builds on

Projects we have delivered that use the same engine or the same engineering pattern.

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See Pathly 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.