Every student learns at a different speed.
Business, finance and innovation, taught for the era of AI.
Serious simulations, decision games and applied modules where students run a venture under real pressure and the theory arrives at the moment they need it. Undergraduate, graduate and executive cohorts.
The field moves faster than the syllabus. Everything below follows from that.
Material that reflects how the work is actually done this year — not how it was done when the module was written.
Mixed cohorts are the norm. The programme should meet a student with no numbers background and one with a decade of it, in the same room.
When a model can produce the answer, the assessment has to test understanding rather than output.
A physics lecturer drops a ball and a feather rather than describing gravity. This is the same move, for business. Set the ticket price for a small arts festival and watch the year play out.
Opening grant SAR 300,000 · fixed costs SAR 620,000 per year · SAR 22 cost per attendee · attendance falls as price rises.
The lesson is the shape of the curve, not the number. Priced too low, the festival sells out and still fails, because every additional attendee carries a cost. Priced too high, attendance collapses. Between the two, where the year closes profitable, the curve still falls below the line around month seven — a solvent organisation without the cash to reach its own season. Working capital becomes something the student has run into, rather than something they have been told.
Each team builds a single financial model from week one and defends it in week fourteen. Every week adds a layer; nothing is discarded.
The full fourteen-week structure, with every week mapped to the learning outcomes it serves. Nothing is taught that isn't carrying an outcome.
Accounting hands raw transactions to analysis. Analysis hands an interpretation to the board. The board makes one decision — then the decision is checked against the original data to find where meaning was lost in the handoff.
Week fourteen is an oral defence to a mock investment committee. A model can be produced with AI. It cannot be defended in a room that asks follow-up questions.
Designed so a student with no numbers background and one with a decade of it both leave having built something they can explain.
Business, finance or innovation, taught to cohorts without a technical background.
You hold the outcomes and the credits. I build the sequence, the materials and the assessment against them — and hand it over so someone else can run it.
A single high-pressure session where teams run a venture under shocks. Drops into an existing module without rebuilding it.
Rework how a programme measures understanding now that output can be generated. Defences, live builds, and work that has to be explained.
A short call is usually enough to know whether there's a fit.