I work with technology founders who have built something real — and are now discovering that the processes that worked at 15 people are silently breaking at 40.
Technology businesses typically hit a process failure point around 15–20 people, again at 35–40, and again at 60+. Each threshold requires different internal systems. Most businesses do not redesign until something fails — and by then, the cost has already accumulated.
What was sold and what delivery understands are often different things. In technology businesses, this gap is particularly costly — it creates sprint rework, missed milestones, and the kind of client friction that erodes long-term relationships.
Fast-moving teams need fast decisions. When decisions sit for 24–48 hours — waiting for the right person, the right meeting, or the right information — the accumulated cost in context-switching, momentum loss, and opportunity cost is significant.
Technology businesses are particularly vulnerable to knowledge concentration. When too much lives in too few people, the business is not scaling — it is compressing its risk into specific individuals. That is a flow problem.
Technology SMEs scaling from 15 to 40 people typically see a 30–40% increase in internal coordination overhead without corresponding process redesign.
Sales-to-delivery assumption gaps in technology businesses account for an average of 20–35% of sprint rework in agile delivery teams.
Decision delays of 1–2 days per critical decision create an accumulated cost of £15k–£30k per year in a 30-person technology business.
A 20-minute call. Three questions. An honest answer on whether a Flow Diagnostic makes sense right now.