Why smaller, more skilled teams are becoming the new normal

The idea that growth comes from hiring more people is beginning to look dated.

Across technology companies, the shift is visible but not always loudly acknowledged. Teams are getting leaner. Hiring is more cautious. And increasingly, the focus is turning inward—towards what existing employees can do, rather than how many new ones can be added.

For Krupa NS, Chief Human Resources Officer at Xoriant, this is not a temporary correction. It reflects a deeper change in how organisations think about efficiency and scale.

“The move from aggressive hiring to deeper internal skilling is really a question of economics and adaptability,” she says.

FROM HEADCOUNT TO CAPABILITY

At the heart of the shift is a simple constraint: technology is evolving faster than hiring cycles can keep up.

“In today’s technology environment, disruption cycles are compressed and the relevance of skills evolves rapidly,” Krupa notes.

The implication is direct. “Simply adding headcount cannot match that pace.”

In fact, she suggests, expanding teams without strengthening capability can have the opposite effect. Larger teams often introduce inefficiencies—slower execution, more coordination, and reduced agility.

What organisations are discovering instead is that efficiency depends less on cost control and more on adaptability.

“Efficiency today is no longer about cost control alone. It is about capability velocity,” she says.

That phrase—capability velocity—captures a shift in emphasis. The question is no longer how many people are available, but how quickly they can respond to change.

This rethinking is reshaping team design, particularly in areas like digital engineering.

“In the space that we operate in – Digital Engineering, scale has never really meant strength,” Krupa says.

The work itself has changed. Teams are expected to operate in complex, evolving environments where innovation matters more than repetition. That demands depth of expertise, not just scale.

As a result, organisations are building what Krupa describes as “smart-sized teams”—structures that prioritise skill visibility, internal mobility, and flexibility over sheer numbers.

The idea is not to reduce teams for the sake of efficiency, but to increase their effectiveness by strengthening capability depth.

SKILLING MOVES TO THE CENTRE

If hiring is no longer the primary lever, skilling is.

Internal skilling allows organisations to “build skills adjacencies, reduce deployment friction, and redeploy talent faster across accounts and projects,” Krupa explains.

At Xoriant, this has translated into broad-based capability building. The company reports that its entire tech workforce has undergone structured AI-focused training, alongside significant increases in both technical and behavioural skill development.

Training itself is also becoming more continuous. Average learning hours have increased, reflecting a move away from episodic programmes towards ongoing development tied to real work.

Artificial intelligence has added urgency to this shift, but also complexity.

“Meaningful AI readiness goes far beyond learning tools,” Krupa says. “Knowing how to prompt a system is not the same as knowing how to integrate AI into delivery outcomes.”

What organisations are aiming for, she suggests, is not tool familiarity but integration into everyday workflows—from coding and design to planning and decision-making.

This requires a different kind of learning—one that is embedded, role-specific, and continuous.

THE LEADERSHIP CHALLENGE

Even as frontline teams adapt, leadership often lags behind.

“Leadership capability often becomes the real constraint in transformation,” Krupa observes.

Managers, she says, do not always evolve their decision frameworks at the same pace as technological change. Addressing this requires moving beyond classroom training into real decision environments, where leaders can learn to anticipate skill gaps and allocate talent more effectively.

The focus, she adds, is on building “a culture of fluency, not just literacy.”

As skilling becomes central, organisations are under pressure to demonstrate its business value.

The most meaningful signals, Krupa argues, lie where capability meets performance: faster productivity, reduced rework, and greater reliance on internal talent fulfilment.

At Xoriant, one indicator stands out. The company has seen a 700 basis point reduction in attrition year-on-year, which it links to stronger capability building and more meaningful work experiences.

She frames this through a less conventional lens. “The strongest signal we track is ‘employee happiness’,” she says, positioning it as a leading indicator of performance and innovation.

A DIFFERENT KIND OF GROWTH

Looking ahead, the distinction between organisations may increasingly depend on how they approach skills.

“Organisations that will truly future proof themselves will not only treat skills as living business assets… but will also create a positive loop where business growth and employee happiness strengthen each other,” Krupa says.

The shift is gradual, but it is clear. Growth is no longer defined by how quickly a company can expand its workforce. It is defined by how effectively it can evolve it.

The question now is not whether companies will adopt this approach, but how quickly.