Discover five practical tactics to modernise workflows, remove friction, and build an infrastructure that supports rapid growth.
Patrick Evenden
Head of Thought Leadership, EMEA
Workday
As organisations move beyond early growth, the challenge shifts from creating momentum to sustaining it. Growth introduces more complexity, more coordination and more pressure on the systems and processes behind the business.
That’s why scaling depends less on isolated growth initiatives and more on building the operational foundation to support a larger and more complex organisation. Leaders need to know where standardisation is necessary and how to equip teams to make better decisions as the organisation grows.
These five tactics for scaling a business can help organisations build that foundation:
In the early stages of growth, speed often comes from improvisation. Teams move quickly because people sit close to the work, communicate constantly and fill gaps as they appear. But as a business grows, those informal habits become risky.
When work depends too heavily on tribal knowledge or individual heroics, execution is inconsistent and harder to scale. One of the first steps in learning how to scale a business is identifying which processes need to be standardised and clarifying the repeatable activities that directly affect quality, customer experience, compliance, financial performance or speed to execution.
That includes core workflows like hiring, onboarding, forecasting, approvals, reporting, customer handoffs and performance management. Standardising these processes creates consistency across teams and locations, reduces rework and makes it easier to onboard new employees into a shared way of operating.
Just as important, it gives leaders better ongoing visibility into where work may be slowing down and where growth is introducing risk that needs to be addressed in a timely way.
Many companies try to scale by adding more people to existing ways of working. Sometimes that works in the short term. Over time, though, it creates a more expensive version of the same bottlenecks. Meetings will multiply, handoffs become harder to manage, and leaders spend more time untangling cross-functional confusion than moving the business forward.
Scaling often requires a different operating model, not just more capacity. PwC found that 94% of leaders with siloed or only partially integrated structures expect to shift towards a more horizontal, networked model, yet only 41% say their organisation operates that way today, highlighting a clear gap between how companies are structured now and how leaders believe they need to evolve.
Instead of trying to keep pace with new growth using current structures, it’s important to ask whether those structures were designed to support a larger organisation. The answer is often no. Follow-up questions can help identify where specific challenges lie:
Where are decisions getting stuck?
Which roles have become too broad or too dependent on a single person?
Where do teams duplicate work because responsibilities are unclear?
Which processes break down as volume increases?
These are often early signals that the current operating model won’t hold up as the organisation grows. Leaders who address them early are better positioned to enable growth without layering any unnecessary complexity onto the organisation.
Workday research found that only 7% of organisations are scaling AI operations effectively.
Complexity increases quickly as businesses scale. More products, customers, teams and revenue mean more decisions to make and more data to manage. To scale effectively, organisations need systems that connect data and standardise processes while providing clear and timely insights.
That kind of integration is becoming even more important as businesses scale newer capabilities alongside core operations. For example, Workday research found that only 7% of organisations are scaling AI operations effectively – a gap often driven by fragmented systems, siloed data and one-off pilots that never become embedded workflows.
The lesson for growing businesses is broader than AI alone: scale is much harder when critical work still depends on disconnected tools and ad hoc processes.
It's best to look for providers that can provide many products (like an ERP, HCM and CRM) in one connected platform that centralises data, streamlines day-to-day operations and performance across functions, and drives unified, continuous planning. The ultimate goal is to build infrastructure that gives leaders complete end-to-end visibility and control as the business expands.
As an organisation scales, more decisions need to be made, and they can no longer all sit with a small group of leaders. In a scaling organisation, decisions have to move closer to the teams doing the work. The challenge is making sure that those decisions are made consistently and with the right context, rather than becoming fragmented or misaligned.
To do that, companies need a clear management cadence. This means establishing regular, predictable ways to plan work, review performance, identify risks and align on priorities. Without this structure, organisations tend to fall into one of two patterns: either decisions get pushed up to senior leaders, slowing everything down or teams make independent decisions without enough coordination, leading to confusion and rework.
A strong management cadence solves both problems. In practice, this includes:
A regular, structured rhythm of meetings, check-ins and reviews
Defining how goals are set and progress is tracked
Establishing when teams align to resolve cross-functional issues
Clarifying what information leaders need for timely decisions
Providing managers with a clear framework for leading teams during growth
By taking this approach, organisations can support growth that is not only sustainable but also aligns leaders around long-term strategic objectives.
Culture is often described as a company’s personality, but at scale, it is better understood as a system of expectations. It shapes how decisions are made, how people collaborate, how conflict is handled, and what behaviours get rewarded. When a business is small, culture can feel self-reinforcing because founders and early employees model it directly. As headcount grows, that becomes much harder.
Gallup found that only 20% of employees worldwide were engaged in 2025, underscoring how difficult it is for organisations of all sizes to maintain alignment and connection. For scaling businesses, this makes culture even more critical. During periods of rapid change and expansion, the risk of misalignment increases, and without deliberate effort, culture can quickly fragment.
Protecting culture at scale requires leaders to make it more explicit – defining the values and behaviours that matter most, and equipping managers to actively build and reinforce them with clear expectations, consistent role modelling and regular feedback.
Protecting culture at scale means defining the values and behaviours that matter most, then equipping managers to actively reinforce them.
Learning how to scale a business is ultimately about preparing an organisation to handle success. Growth can create energy, visibility and opportunity, but it also exposes weaknesses in the way a company operates.
Processes that were once "good enough" start to break. Managers become overloaded. Data loses credibility. Culture becomes harder to sustain through proximity alone. And old competitive advantages are lost as your peers become larger enterprises.
That is why scaling should be treated as a leadership discipline, not just a commercial milestone. The businesses that grow well are usually the ones that recognise early that scale is built, not improvised. They standardise where consistency matters, redesign their operations around future complexity, invest in systems that create visibility and give managers the structure to lead effectively.
In that sense, scaling is less about getting bigger than getting stronger. It’s about building an organisation that can sustain performance as complexity increases, and do so without sacrificing clarity, momentum or control.
AI represents a huge opportunity for SMBs to gain an advantage – but just 7% are currently scaling their AI operations effectively. Learn four ways you can leverage AI today.
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