Status: Delivered. Described from our own delivery records. Client identity, brand and commercial terms are withheld. Figures, where given, cover the period stated and nothing beyond it.
Context
An organisation connecting employers in one country with a workforce trained in another, in home-care and support roles.
Doing that credibly means delivering two things at once: the professional skills to a specific national standard, and the language competence to work in it.
The problem
- Producing training content to a national quality standard is slow, and the programme's growth was limited by that rate.
- Content had to be reviewed and approved before it reached learners, and the approval route was informal.
- Learners arrive with different starting points in both skills and language, so uniform content serves most of them badly.
- Trainers and learners were working across separate tools with no shared view of progress.
What we built
A modern learning management platform
Serving learners and trainers from one place.
An assisted training-content generator
So a subject expert shapes and reviews material rather than authoring every piece from nothing.
Approval workflows
So nothing reaches a learner without passing a named reviewer — which matters when the content is claiming to teach to a national standard.
A single-platform, multi-solution model
So personalised learning paths, language training and skills training coexist rather than requiring separate systems.
How we delivered it
- 1
Define the quality bar and the approval route
First, because they constrain everything the generator is allowed to do.
- 2
Build the platform core
Courses, learners, trainers, progress, assessment.
- 3
Add assisted generation
Always producing a draft into the approval workflow rather than into a learner's hands.
- 4
Add personalisation
Once there was enough structured content to personalise across.
- 5
Pilot with one cohort
Through a complete programme.
How it was phased
Indicative phasing for work of this shape. Actual duration varies with data quality, access and decision speed.
What the client keeps
- The platform and its source
- The content library as structured data
- Approval workflow configuration
- The quality standard as documentation
- Learner progress data