We use AI in two places: shortening production on first-draft scripting and image generation, and personalising what a learner sees next based on how they performed. Everything an AI produces is reviewed by an instructional designer before it reaches a learner.
What you get
- Adaptive paths that skip what a learner already demonstrated
- Faster first drafts, with human review before sign-off
- Knowledge-check generation from your source documentation
- Clear disclosure of where AI is used in the build
How it runs
- 01
Define the behaviour
We agree what people should be able to do once the course is over, and how you will know. Everything after this is judged against that sentence.
- 02
Design the path
Your subject-matter experts see a storyboard before anything is built. Structure, scenarios, assessment logic and — when the brief needs it — accessibility decisions are all settled on paper, where changes are cheap.
- 03
Prove it early
We build one real module — fully styled, fully interactive, running on your LMS. You approve the look and the tracking before we scale it across the rest of the course. If you already have storyboards, this is where we start.
- 04
Develop and integrate
Production runs against the approved prototype. You see builds as they land rather than waiting for a single reveal at the end, so course corrections stay small.
- 05
Test on your LMS
Functional and tracking testing on the platform your learners actually use, plus accessibility testing when it is in the quote. You get the test matrix showing what was checked, on what, and the result.
- 06
Handover, then stay on if you want
We hand over source files. If you want us to stay, we can watch the first cohort with you and use that to scope the next release — or your team can take it from there.