Home/Case Studies/AI Language Learning Platform
Education

Corporate language training fails for a reason that has nothing to do with language.

Adaptive training built around the vocabulary and situations of the learner's actual job, with progress measured in something an employer can recognise.

AI-driven adaptive language learning platform for corporate training
SectorEducation & corporate L&DModelAdaptive, per learnerContentRole and domain specificMeasuresTask capability, not lesson countFormatShort sessions, spacedEmployer viewEvidence, not attendance
The situation

People do not stop learning because it is hard. They stop because it is irrelevant.

Corporate language programmes have high enrolment and poor completion. The usual explanation is motivation. The more accurate one is relevance: a generic curriculum teaches ordering coffee to someone who needs to run a supplier call, and the learner correctly concludes it is not worth the time.

Pace is the second failure. A fixed curriculum is too slow for the confident and too fast for the struggling, and both drop out for opposite reasons.

Measurement is the third, and it is the one that kills the budget. Employers fund training and receive completion rates, which tell them nothing about whether anyone can now do the thing they were trained to do. When the budget is reviewed, there is nothing to defend it with.

What we built

Teach the job, adapt the pace, measure the capability.

Content is generated and selected around the learner's actual role and domain: the vocabulary, the register and the situations they encounter. A logistics coordinator and a finance analyst learning the same language do not get the same course.

The path adapts continuously on demonstrated performance, not on a fixed schedule, with spaced repetition on exactly what an individual keeps getting wrong. Confident learners accelerate, struggling learners get more repetition on the specific point, not on the whole unit.

Assessment is task-based. Can this person handle a supplier call, write this email, understand this briefing, assessed on the task, not on a vocabulary quiz. That is what makes the employer report meaningful.

Sessions are short and designed for the working day. A programme that requires an uninterrupted hour is a programme that will be skipped, and no amount of content quality compensates for that.

Inside the system

What the platform does.

01

Role-based content

Vocabulary, register and scenarios drawn from the learner's actual job rather than a general curriculum.

02

Adaptive pathing

Continuous adjustment on demonstrated performance instead of a fixed schedule.

03

Spaced repetition

Targeted at the specific points an individual keeps getting wrong, not at the whole unit.

04

Conversational practice

Realistic dialogue in the learner's own work situations, available on demand.

05

Task-based assessment

Can they do the thing, assessed on the task, not on a quiz.

06

Short-session design

Built for the working day, because a programme needing an uninterrupted hour will not be done.

07

Employer reporting

Capability evidence instead of completion rates, so the budget can be defended at review.

Built with

Built with.

Model layer

LLM content generationConversational practice partnerTask-based evaluation

Learning

Adaptive pathing engineSpaced repetition schedulerPer-skill mastery model

Application

Short-session learner appProgress and streaksManager dashboards

Platform

Multi-tenant for employersSSOCapability reporting
What changed

What changed.

  • Relevance replaced generic curriculum. Learners get the language of their own role, which is the difference between training people complete and training they abandon.
  • Pace adapts instead of averaging. Confident learners accelerate and struggling learners get repetition on the specific point, not both being served badly by one schedule.
  • Employers can evidence the outcome. Task-based capability reporting rather than completion rates, which is what the budget is actually reviewed against.
  • Sessions fit the working day. Short and spaced by design, because programme length is a completion problem before it is a pedagogical one.