HR Vision Talk: Avesh Jha on Designing People Systems for Global Scale

As organisations expand across regions, people systems often lose consistency. Leadership frameworks exist. Performance processes are documented. Learning platforms are widely available. Yet leadership behaviour varies. Expectations are interpreted differently. Execution quality changes from one geography to another.

“The failure is not structural,” says Avesh Jha, Senior Vice President at Hinduja Global Solutions. “It happens when systems are designed without reference to how people actually work.”

Jha brings over three decades of experience across sales, organisational development, leadership training, and global operations. His career spans frontline roles, consulting, and enterprise capability building. At HGS, his responsibilities include leadership development, talent strategy, diversity initiatives, and geographic expansion, including greenfield operations in Jamaica and Colombia.

In his experience, scale exposes weak assumptions in people's systems rather than creating new problems. What matters is whether leaders can apply systems consistently and whether employees can interpret expectations clearly, especially when operational pressure increases.

Consistency Matters More Than Customisation

As organisations enter new markets, people systems are often adapted to show the local context. Over time, these changes accumulate. Performance criteria begin to differ by region. Leadership expectations blur across teams. Employees receive mixed signals about what is valued.

Jha has seen this pattern repeatedly across geographies and has taken a deliberate approach to limit fragmentation.

At HGS, people systems are built around a stable common core. “Eighty percent has to work everywhere. You leave twenty percent for local context,” Jha says.

The principle applies across leadership frameworks, competency models, and performance processes. Core elements remain consistent. Flexibility is limited to regulation, legal requirements, and defined cultural practices.

Based on experience across regions, Jha notes that expectations around growth, evaluation, and leadership conduct remain broadly aligned across markets. “Human beings are human beings everywhere,” he says. “The need to grow does not change.”

Consistency reduces interpretation gaps. Leaders spend less time explaining differences and more time supporting execution. Employees understand expectations regardless of geography, which becomes more important as organisations scale.

Operational complexity also reduces. Maintaining fewer system variations simplifies updates, communication, and leadership training, improving adoption and alignment.

Leadership Effectiveness Depends on Behaviour

Leadership development remains a priority across industries. Organisations invest in assessments, workshops, and competency models. Despite this, inconsistent leadership behaviour persists.

Jha attributes this gap to an overemphasis on structure and insufficient attention to conduct.

“You have to earn the right with people,” says Avesh Jha.

Employees respond to behaviour under pressure rather than formal authority. Consistency in decision-making, communication, and follow-through builds credibility. When trust is present, operational issues surface early. When it is weak, concerns escalate only after impact.

“People watch what you do much more closely than what you say,” Jha observes.

This becomes more visible during periods of growth, restructuring, or geographic expansion. Formal structures often change faster than leadership habits. Where behaviour remains inconsistent, even well-designed frameworks struggle to hold teams together.

For Jha, leadership effectiveness is visible in daily actions. Listening, availability, fairness in evaluation, and consistency under pressure shape how teams respond to change.

Development Requires Individual Accountability

Access to learning has expanded significantly in recent years. Digital platforms, internal academies, and AI-supported tools allow organisations to deliver content at scale. For Jha, this expansion clarifies responsibility rather than shifting it.

“Organisations have always been enablers,” he said. “Development was never meant to be outsourced.”

Learning platforms provide access to information. Capability develops through application, feedback, and repetition. Short-form learning may build awareness, but sustained practice drives change.

Jha has observed that leaders who apply learning show improvement over time, while those who rely primarily on content consumption show limited behavioural shift.

AI supports decision-making by improving access to data and identifying patterns. It does not replace judgment. “AI is a tool,” Jha says. “You still have to put your signature on the decision.”

Decisions involving people require context and accountability. Data informs these decisions, but it does not make them. Over-reliance on automation weakens outcomes.

As access to learning improves, the measure of development changes. Participation alone is no longer sufficient. The application becomes the indicator.

People systems function when they remain simple, consistent, and grounded in real behaviour. Credibility is built through conduct rather than process.

“Processes don’t build credibility,” he concludes. “People do. And that is something no system can automate.”