Simulators that argue with evidence
Ten browser simulators that let leaders pull the levers behind bullwhip, AI spend, agent governance and change saturation, each fact-checked against its sources before publishing.
Why it exists
Leaders repeat the same mistakes because the mechanism behind them stays abstract: a forecast error that grows upstream, a GPU fleet that idles while the bill climbs, one governance policy stretched over agents with very different autonomy. A slider that shows the consequence lands faster than a slide that describes it.
What was built
- Ten simulators across supply chain, AI at scale and leadership, each built around one mechanism and one real, cited statistic.
- A consistent pattern: a scenario, levers the visitor controls, a result that shows the consequence, and an on-screen note on what is modelled and what is illustrative.
- A source audit before publishing. Every cited figure was traced to its primary source. Seven needed corrections; three claims contradicted their own sources and were rewritten or removed.
What is still open
Downloadable one-page results, so an executive can take the outcome into a meeting, are next.
Run it in the lab
No.01 · SUPPLY CHAIN The Telephone Effect
Nudge a retailer's forecast error and watch it grow as it travels up the chain.
No.04 · AI AT SCALE AI Fleet Economics
Four levers a FinOps team pulls on a GPU fleet, with the monthly bill reacting live.
No.07 · AI AT SCALE One Rulebook
Four AI agents with four levels of autonomy. Apply one policy to all of them and watch what breaks.
No.09 · LEADERSHIP & CHANGE The Pressure Line
Load your team's quarter with changes and watch the capacity gauge redline.