Spend enough time advising growing businesses and you start to notice a pattern. The ones that survive long enough to become genuinely significant almost never talk about optimisation. They talk about something else — a longer frame, a wider view, a preference for durability over performance.
This sounds obvious written down. But the operational pressure in most businesses runs exactly counter to it. When margins tighten, the instinct is to cut. When growth slows, the instinct is to double down on what worked before. When investors press for efficiency, the temptation is to produce the number they want to see.
Resilience is a property of a system under pressure. You cannot measure it until the pressure arrives.
What optimisation actually does
Optimisation is real and useful. Nobody is arguing for slack. But optimisation as an operating posture — as the dominant frame for decision-making — has a specific weakness: it reduces the system’s capacity to absorb surprise.
A supply chain optimised to the bone has no give when a supplier fails. A team optimised to headcount has no capacity when demand spikes unexpectedly. A finance function optimised around last year’s tax position has no buffer when the rules change — and they always change.
What are the dependencies in this model — supplier concentration, customer concentration, regulatory dependencies — that we could reduce without significant cost? Where are we running so tightly that one bad quarter would create structural damage? What investments look expensive this year but reduce fragility over the three-year view?
