CMO of a six-brand retail group. This is her flagship Dubai store — where last week's revenue closed +12.4%. Before her coffee is made, four questions: where do we stand, why, what if, and what now.
She opens axon.
what she sees →Four views on the same underlying state. Understand — where the business stands. Explain — why any number moved. Simulate — what would happen if you acted. Act — what to do this week.
axon. traces the causal path in front of her — outcome on the left, what moved in the middle, what caused it on the right. Hover any node to follow its path back to root.
Four recommendations, ranked by projected lift. She picks the strongest — re-running last quarter's BurgerStack discount, online-only, seven days. axon. doesn't ship it on its own. Her thumb is the safety valve.
She taps approve. The discount is live by 07:11. axon. logs who, when, and why.
Maryam is in a partnership review. axon. is still working. It notices something a dashboard would not have flagged: across the last 28 days, Dubai fresh ready-meals refund requests are up 12% — but only on Saturdays, only between 21:30 and 23:00, only from the late-night dispatch slot. None of her dashboards would have surfaced this. It puts the finding on her queue.
No alert. No interruption. Just waiting when she's ready.
Last week, when Maryam approved the Carrefour competitor-window discount, axon. predicted +AED 2.8M lift with 0.74 confidence. Tonight, the sales ledger reconciles. The next time a similar pattern appears, axon's confidence shifts a little — because it learned from yesterday.
Six months in, the questions Maryam asks are better. The trace of how every revenue number got there is in the graph. When her CFO asks where a 4% margin shift came from last month, she doesn't go looking. She opens the trace.
Her team uses the same surface. New hires onboard against real decisions and their real outcomes, not screenshots from a deck. The graph keeps growing. Mondays keep getting quieter.