AI for EdTech

Course Builder · EdTech AI module

From an SOP or policy PDF to a draft course your instructional designers can edit.

Course Builder turns source documents such as SOPs, policies, manuals and slide decks into course outlines, lessons, job aids and quiz items that an instructional designer reviews and edits before anything is published.

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

admin.northstarcampus.com / courses / new-from-document

Northstar Workforce Academy · Course Builder

Demo
  • Uploaded: Warehouse Safety SOP v7.pdf (40 pages). Draft a course for new warehouse staff.

Step 1 of 3

Illustrative demo on a fictional institution. Not client work.

The problem

Training teams sit on a pile of policies and procedures that should be courses. Writing each one from scratch takes weeks, and generic AI drafts drift away from the source.

The worked example

Northstar Workforce Academy (fictional). A customer uploads a 40-page warehouse safety SOP.

Document parsing into structure, generation constrained to the source, and an approval workflow with versioning.

AI inside the workflow

Course Builder 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 Learn · fictional product

Northstar Learn today: designers rebuild courses by hand every time an SOP changes.

No assistant

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

admin.northstarcampus.com / courses / library

Northstar LearnDashboardCoursesLearnersPracticeReportsAdmin
CoursesLibraryDraftsSourcesQuizzesArchive

Course library

3 of 3 records

New course
Search
RefCourseStatus
CRS-110Forklift operationPublished
CRS-114Hazard reportingPublished
CRS-121Loading dock safetyPublished

Read the SOP, outline by hand, write lessons and quizzes from scratch.

The assistant runs Course Builder, branded as Northstar Author, the way it would ship under your product's name.

Illustrative demo on a fictional institution. Not client work.

What it does

What Course Builder does inside your product.

Best fit: Corporate LMS, compliance training, courseware and CE.

Outline from source

Proposes modules and learning objectives from the uploaded documents.

Lessons and job aids

Drafts lesson text, checklists and step-by-step job aids, each traced to its source passage.

Quiz items

Writes question items with answer rationales for review.

Editor in the loop

Nothing is published until a designer approves it; versions are kept.

Where it comes from: Built on our document-to-structure generation work.

See the document-to-structure work

How it works

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

In two weeks: Course Builder drafting courses from three of your customers' real documents, scored by your designers.

  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.

Document-to-Structure Suite

Enterprise Process Modeling · Content Generation / Structured Drafting

Source documents turned into structured models, SOPs and job aids

Word and PDF process documentation turned into standard BPMN models, SOPs and job aids, shipped as a subscription product over six releases.

Content generationDocument AIVersioned releases
Read case study

Cited Knowledge Workspace

Knowledge & Document Software · Knowledge Retrieval / Cited Answers

Answers grounded in an organization's own documents, with every source cited

A self-hosted workspace that extracts documents, answers questions with citations, respects who may see what, and helps people write.

Cited answersRetrievalSelf-hosted
Read case study

Voice Roleplay Trainer

Insurance Sales Training · Skills Practice / Voice AI

AI voice roleplay that makes skills practice measurable

Agents pick a scenario, a prospect personality and a difficulty, hold a live voice call with an AI prospect, and get a scorecard, transcript and coaching against the firm's own method.

Skills practiceVoice AIWorkforce learning
Read case study

See Course Builder 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.