AI for EdTech

AI for compliance-training platforms

Policies change. Let your customers' training keep up, traced to the source.

For compliance-training LMS and content vendors: turn your customers' policies and SOPs into courses, flag the courses a policy change affects, and show admins who is behind a deadline, inside the platform they already pay for. Ships under your name.

Built for: Compliance-training LMS and content vendors: safety, HR, finance and healthcare compliance.

Already have an assistant? Start with the AI Scorecard.

admin.northstarcampus.com / courses / HIT-210 / syllabus

In · Instructor uploads for HIT-210

Program outcomes · textbook chapters 1, 3, 5 and 7 · 12 lecture decks · department rules

Out · Syllably

HIT-210 · draft syllabus

  • LO1 Assign ICD-10-CM and CPT codes to sample records→ PO1
  • LO2 Apply HIPAA rules to release-of-information requests→ PO2
  • LO3 Navigate and document in an EHR training system→ PO3
  • LO4 Audit a record set for completeness and accuracy→ PO4

10-week plan · weights total 100% · cited quiz items

Waiting for the program chair

Finished lessons become captioned videos.

Run it step by step on the Syllably page.

Try it step by step

Illustrative demo on a fictional institution. Not client work.

Where these products get stuck

  1. 01

    Every policy change is a course rewrite

    When a regulation, policy or SOP changes, someone has to find every course built on it and update it by hand, and customers often find out late.

  2. 02

    Your customers buy evidence, not just content

    They need to show who completed what, against which version of the policy. Tracing a lesson or quiz item back to its source section is usually manual.

  3. 03

    Deadlines slip quietly

    Admins learn which departments are behind only when someone runs a report, often close to the deadline.

  4. 04

    Every new customer asks the same setup questions

    Assigning courses by department, setting due dates and pulling completion reports produce the same tickets with every rollout.

AI inside your product

The modules that fit this kind of platform.

Each one is shown on a fictional institution. You own the code. It runs in your platform, under your name, with no license fee.

What it connects to: Reads your customers' policy and SOP library and your course catalog through your product's API, writes drafts to your course authoring for a designer to approve, and reads completion data read-only. The Build Sprint uses sample policies and synthetic completion data.

Selling skills, CE or certification training? See Workforce and CE platforms
  • Course materials in: a draft syllabus, lessons, quizzes and lesson videos out.

    Fits: Higher ed and courseware, CE, microlearning, corporate LMS and compliance training

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

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

  • Voice roleplay practice with rubric scoring, inside your course.

    Fits: Workforce learning, CE, health-professions education, bootcamps

  • A support agent for your learners and admins, grounded in your help center.

    Fits: LMS support, student services

How it works

Three ways to start, each at a fixed price.

Most compliance-training platforms start with a Build Sprint on Syllably's first bundle (policy or SOP to course, change alerts and microlearning) on three of their customers' real policies. If you already have AI live, 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.

Rehearsly · Syllably · Docently · 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 live

AI Scorecard

$5,000 fixed2 weeks

Pick it when: Your product already has an AI feature live for customers.

  • One live AI feature 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 the Sprint delivered 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, we typically stay on

A named lead engineer, a monthly quality and cost report, testing before any model change, and the next capabilities one at a time, at a fixed quote.

Stop after any Sprint and keep what you got.

  • 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.

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

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

Faster policy-to-course

Measure

Designer hours from a policy change to an updated, approved course

02

Traceable content

Measure

Share of lessons and quiz items linked to a source section

03

Deadlines in view

Measure

Learners and departments flagged before a completion deadline

04

Fewer admin tickets

Measure

Setup and reporting questions answered without a ticket

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

Proof

What we have built that this rests on.

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

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A BI platform where business users ask questions in plain English and get SQL-backed tables, charts and summaries from their own databases.

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AI that ingests and indexes documents and pages across several cloud-storage providers and answers in Slack, checking approved answers first and falling back cleanly when it has nothing relevant.

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See it on your own product.

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.