What actually determines whether scaling is successful - and why people, timing and choices are decisive

Many people talk about scaling as if it is primarily about pace, ambitions and growth in numbers. My experience is that the challenges more often arise in the transition from what worked yesterday to the next phase.

On Wednesday, I participated in the webinar Scaling in practice with Annette Sveen, and several perspectives resonated well with my own managerial everyday life.

A key point was the importance of having a clear plan and direction. Scaling without a clear understanding of why you are growing - and where you are going - makes the organization reactive. Is the goal further growth, internationalization or sale of the company? Without an explicit answer, priorities become unclear, and management loses control.

Furthermore, it became clear how crucial it is to know where the business is in the life cycle. Start-up, growth, maturation and saturation make completely different demands on structure, management and people. Measures that work in one phase can become inhibiting in the next. Scaling is as much about timing and adaptation as it is about execution.

A consistent theme was people as the most critical factor in scaling. The focus often ends up on technology, systems and finance, while the ability to implement is determined by how people interact, make decisions and handle increased complexity. Mismatch between people, roles and phase creates friction - which costs speed and energy.

I recognize this very well, and myself have experience with the use of profile identification and analysis tools at management level and employee level. This has been particularly valuable in work with sales advisors and customers. When we understand behaviour, drivers and communication style - in ourselves and others - management, collaboration and sales become more precise.

The webinar also highlighted AI as a practical tool in scaling, not as a replacement for humans, but as a way to free up capacity. The advice was clear: start controlled, test yourself first, integrate into existing systems and identify bottlenecks before rolling widely. Used correctly, AI can contribute to better resource utilization - in line with own experiences from management and sales.

Finally, some pervasive errors in scaling were pointed out: missing plan, wrong people in key roles, wrong priorities, too little understanding of technology and absence of good sparring partners.

My most important reminder after the webinar is simple but demanding:
Scaling doesn't start with doing more – but with doing the right things, in the right order, with the right people.