AI for workforce learning platforms
Let learners practise the skill, not just finish the course.
Datics builds the AI that workforce-learning, CE and certification platforms ship inside their own product: voice practice with rubric scoring, course drafting from source documents and next-course recommendations, under your name, starting with a two-week Sprint.
Built for: Corporate LMS, CE and certification providers, bootcamp platforms.
learn.northstarcampus.com / insurance-licensing-ce / practice
Northstar Workforce Academy · Rehearsly
DemoStep 1 of 4
Illustrative demo on a fictional institution. Not client work.
Where these products get stuck
- 01
Completion is not competence
Your customers can see who finished a course, not who can handle the conversation it taught. Live roleplay needs an instructor for every session, so it rarely happens.
- 02
Content is the bottleneck
Every customer has a pile of SOPs and policies that should be courses, and your designers write each one from scratch.
- 03
The big suites are shipping agents
Buyers compare you with platforms that now advertise roleplay, course building and coaching, and your team is smaller.
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.
Rehearsly
AI skills practice and roleplay
Voice roleplay practice with rubric scoring, inside your course.
Fits: Workforce learning, CE, health-professions education, bootcamps
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
Course Builder
AI course drafting from source documents
From an SOP or policy PDF to a draft course your instructional designers can edit.
Fits: Corporate LMS, compliance training, courseware and CE
How it works
One AI feature, working inside your product, in two weeks. $10,000, fixed.
Most workforce platforms start with Rehearsly on three of their own scenarios: it is the clearest way to show a buyer that practice can be measured.
- 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.
Scored practice
Practice sessions per learner and rubric improvement across attempts
Faster course creation
Designer hours per published course
Next-course recommendations
Enrollment in a second course or credential
Differentiation in renewals
Feature adoption and expansion revenue
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.
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.
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.
Dawa
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.
Read next: Course completions vs. proven skills in corporate training
Other EdTech platforms we build for
Admissions and enrollment
Enrollment CRM, application and student-recruitment 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.