Scenario library
Pick a scenario that fits your context
Filter by industry, size and AI maturity to find dilemmas close to the reality your leadership team lives in.
7 of 7 scenarios
The AI agent recommends letting an employee go
Your HR agent has analysed performance data and proposes ending three employments. The reasoning looks sound.
Your AI agent has done wrong by a customer
Thursday morning you discover an automated process sent the wrong notice to 1,200 customers overnight.
We know we 'should be doing something with AI' — but what?
Pressure from the board, customers and employees. You've heard the talks, read the reports. And there you sit.
Shadow IT on steroids — when Johan's tool wants to scale
An employee built a tool that saves hours every week. Three other teams want it. Nobody knows where the data lives.
The competence paradox — when half the team pulls ahead
Half the analytics team produces three times as much with AI. The other half is struggling. The gap widens every week.
The manager as bottleneck — when approvals pile up
Every week someone shows up with a new prototype that 'just needs sign-off'. You can't keep up, you don't grasp every detail — but saying no feels like killing engagement.
Those who have time to have time — when life circumstances decide who develops
Three people on the team have become AI stars. The other nine have barely touched the tools. The difference? Who has slack at home.