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Learning Management System

Teach your whole workforce to work with AI.

A ready-built AI fluency curriculum, a governed authoring pipeline, and outcome analytics that tell you which lessons are actually working, in one system, with a learner portal on the front and an operator console on the back.

The four stages of the platform loop — author, publish, measure, flag — with a return path carrying flagged items back into authoring.
The loop the platform closes: what the analytics flag becomes work in the authoring pipeline, without anyone filing anything. A schematic of the mechanism — it shows no measurements.

The problem

AI training usually fails in one of two directions. Either it is a one-off webinar that changes nobody's behaviour, or it is a licence to a generic course library where staff enrol, drift, and never finish.

Both share the same blind spot: nobody can tell which lessons landed. Completion percentages say people clicked through. They say nothing about whether the material was any good, which questions everyone got wrong, or which learners quietly stopped.

This platform is built around closing that loop, the curriculum, the publishing pipeline that keeps it current, and the analytics that point back at the content.

What it does

A Common Core curriculum, already built

Thirty-three learning objects across six modules, each sized at four to seven minutes so it fits inside a working day:

C1 · What Is AI (and What It Isn't)

how AI learns, what an LLM actually does, generative versus predictive AI, and capabilities and limits including hallucination

C2 · AI in the Marketplace

how AI reshapes industries and value chains, jobs versus tasks, realistic ROI, spotting high-value opportunities, and the SME competitive edge

C3 · AI Fluency: The 4D Way of Working

the Delegation, Description, Discernment and Diligence framework, plus the three modes of Automation, Augmentation and Agency

C4 · Prompting Foundations

prompt anatomy, iteration and examples, reliable patterns, everyday templates, grounding with your own documents, and common failure modes

C5 · Responsible and Safe AI

data protection, bias and fairness, the EU AI Act, the verification habit, disclosure, and a practical harms framework

C6 · Skilling Up in the AI Era

the skills that compound alongside AI, an AI-augmented working style, staying current, a personal AI policy, and weekly practice

A governed authoring pipeline

Content does not simply get edited in a browser and go live. The workflow runs draft → preview on stage → edit → publish through a reviewed merge request to production, so every change to the curriculum is authored, versioned and approved.

The curriculum view reconciles four sources at once, what is planned in the backlog, what is authored in git, what has an open merge request, and what is actually live on the learner portal, so the gap between intention and reality is never hidden.

Outcomes that mean something

The analytics go past enrolment and completion to enrolment, completion rate, quiz pass rate, average score, certificates issued, and at-risk learners flagged by inactivity, low pass rates or overdue reviews. Every course breaks down by enrolment, completion, average progress and pass rate.

Content health, fed back automatically

The platform ranks the weakest lessons and the hardest questions, and applies a minimum sample floor, so a single struggling learner never gets mistaken for a broken lesson.

Flagged items accrue into a deduplicated feedback queue that the content team pulls via API. Tickets that stop being flagged resolve themselves. The loop from "learners are failing this question" to "the content team is looking at it" runs without anyone remembering to file anything.

An operator console for the whole lifecycle

Curriculum, AI-assisted generation, courses, review and publish, delivery, roster, catalogue coverage and outcomes, plus system status, contract intake, pipeline jobs and history. A documented API, automation workflows and object storage sit behind it, with a separate learner portal on the front.

Who it's for

Organisations rolling out AI literacy across a whole workforce rather than a technical team, and the training providers and consultancies who need to author, deliver and prove the impact of AI curricula for their own clients.

Still to confirm

Not yet confirmed

The research behind this page lists these as unverified, so they are not stated anywhere on it: pricing and licensing, whether the Common Core is customisable per client, certification and accreditation status, supported languages, SSO and integration options, and learner capacity.

Roll out AI fluency, and find out what actually landed.