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People & Culture

AI in GCCs for a Better Employee Experience

Jerish Joseph

Jerish Joseph

Chief People Officer

6 min read

69%

of skills assessed had low or very low AI substitution potential (WEF)

23%

of surveyed digital workers were completely satisfied with work apps (2024)

Human first

Keep personal employee moments with people, supported by AI insight

Key takeaways

  1. 01

    Automate routine work

    Use AI for predictable HR transactions and workflows.

  2. 02

    Protect human connection

    Reserve empathy and judgement for consequential moments.

  3. 03

    Return capacity to HR

    Make more room for strategic people priorities.

  4. 04

    Design for employee trust

    Build a responsible AI-enabled experience around people.

As enterprises expand Global Capability Centres (GCCs) in India, artificial intelligence (AI) is determining what HR should deliver at scale. With AI, HR can now go beyond faster processes and create an increasingly responsive and context-aware employee experience. On the enterprise side, the opportunity is to reduce administrative effort and increase HR capacity to focus on the human moments that influence trust and belonging. For both, employees and enterprises, this is the pot of gold at the end of the HR rainbow.

For GCCs supporting fast-evolving capability requirements, this transformation has long been awaited. An efficiency-first AI deployment may accelerate existing processes; but a people-centred AI strategy can redesign the HR service experience itself.

To achieve this, the imperative is clear: automate predictable transactions and build an HR operating model in which insight and understanding reinforce each other to strengthen human relationships.

HR efficiency is only the starting point

HR teams handle a significant volume of recurring operational work: They provide employees with timely support related to payslips, leave balances, policy clarifications, onboarding documentation, benefits, reimbursement updates, and grievance processes.

Manager visibility

Managers need visibility into hiring status, workforce data, headcount intelligence, and support for recurring people workflows.

Administrative drag

As a result, HR professionals often spend valuable time locating documents, reconciling data, following up on approvals, and responding to the same questions across disjointed communication channels.

This makes task design the perfect starting point. The World Economic Forum reports that employers expect the share of work performed through human–technology collaboration to increase, while its analysis of various skills found that none had a “very high” capacity to be replaced by the current generation of generative AI tools; 69 percent had low or very low substitution potential. The report goes on to add that humans, in general, would be essential to “tasks that require physical execution, nuanced judgment, or hands-on application.”

And if there is any practice within an enterprise that needs to practice all three, it is HR.

AI leveraged to reduce administrative drag

These traits make HR the ideal function within which to liberally apply AI for routine and repeatable tasks. A well-designed AI-enabled HR service layer will become central to help employees navigate routine workflows and surface relevant resources at the point of need. For a GCC operating at scale, this creates a more responsive service environment—one in which availability, consistency, and ease of access to HR processes become as important as cost efficiency.

Employee expectations are also being determined by the digital services they use outside work. Consumer platforms have established a baseline for easy-to-use interfaces, fast responses, seamless journeys, and personalized support.

The employee expectation gap

Gartner notes that employees increasingly expect work applications to mirror the personalisation of mainstream consumer applications such as shopping and ride-hailing. However, only 23% of surveyed digital workers reported being completely satisfied with their work applications in 2024.

Reliable answers, wherever people work

The implication for GCC leaders is hidden in plain sight. There is considerable work to be done before AI use improves employee satisfaction levels. To start with, employees should not have to wait days for basic answers to their queries about routine processes. Nor should they receive different answers to the same question because they work from different geos or business units.

A route to a human expert

This is where AI can create reliable first-layer support, while routing exceptions and complex cases to the appropriate human expert.

Automate transactions, reserve f2f for relationships

Sooner rather than later in an HR team’s automation journey, the temptation arises to treat every HR interaction as an automation opportunity.

An employee checking the status of a leave request needs speed, accuracy, and a clear resolution. An employee preparing for a difficult performance conversation, exploring a career transition, raising a grievance, or managing a personal challenge needs discretion and insight. In essence, some processes need speed, others need empathy, judgement, and face-to-face interactions.

HR leaders must therefore distinguish between transactional efficiency and relational value.

Transactions are structured and repeatable. They are well suited to workflow automation. Relationships are layered, emotionally significant and often consequential for retention and trust. They require technology-enabled insight, but they still depend on visible human leadership and presence.

A practical distinction

Automate transactions, reserve human presence for relationships

Employee interaction
Structured · repeatable

Transactional need

Leave-request status

AI provides a clear, accurate resolution
Speed and consistency

Route exceptions and complex cases to a human expert.

Layered · consequential

Relationship moment

Performance, career, grievance or personal challenge

AI equips managers with relevant information and preparation
Manager listens, interprets context and responds with empathy

Technology strengthens preparation; it cannot substitute for leadership presence.

Automate transactions. Reserve human presence for relationships.

Joining an organisation, receiving promotion feedback, discussing career aspirations, addressing conflict, managing a performance concern or deciding to exit are important moments in an employee’s lifecycle. AI can equip managers and HR professionals with relevant information, feedback themes, team trends, policy guidance and development prompts. It can improve the quality of preparation.

Consider the performance conversation. AI can consolidate objectives, feedback patterns, project outcomes and suggested development actions. It can thus create the foundation for a superior and consistent managerial experience. But the manager must still listen, interpret individual context, respond with empathy, and exercise sound judgement. Technology can strengthen leadership preparation; it cannot substitute for leadership presence.

Releasing HR capacity for higher-value work

However, the most important measure of AI success is how much strategic capacity it returns to HR leaders. The goal should be to turn AI into a tool that helps them focus more on employee conversations, organisational problem-solving, workforce planning, and strategic talent interventions. In this model, AI shifts HR from being an administrative throughput to having greater organisational impact.

Fast-growing GCCs already appreciate the value of this impact. They know that scaling a workforce involves more than filling roles.

Leadership and culture

It requires leadership capability, culture reinforcement, talent mobility, employee engagement, and career architecture to position the GCC as an employer of choice. These are high-value people priorities. They demand sustained human attention.

Earlier workforce intervention

AI can also move HR from retrospective reporting towards earlier workforce intervention. Rather than spending hours preparing spreadsheets on attrition, absenteeism, engagement, hiring and workforce costs, teams can use AI-supported analytics to identify emerging trends and potential risk signals.

However, insight alone is inadequate. The value lies in whether HR and business leaders have the capacity and organisational confidence to investigate the issue and act. AI should make this possible, without compromising process velocity.

The employee experience is the real test

Let’s translate that goal into a practical example: A chatbot that provides an answer in seconds could be part of the answer to deliver speed. But in itself, a chatbot is not evidence of better HR. The qualities that improve the employee experience include whether the resolution was complete, whether the interaction reduced effort, whether the experience felt fair, and whether escalation occurred appropriately when human action was required.

This is where AI-enabled employee experience stops becoming a technology deployment exercise.

The strongest HR models will measure response times and automation rates but place greater weight on resolution quality, confidence, fairness, employee effort, and human connection.

Responsible intelligence must be built into the model

However, AI cannot be deployed without a strong layer of governance around privacy, access, data quality, accountability, and explainability.

Clear boundaries and a human route

Employees should understand when they are engaging with an automated system, what that system is allowed and not allowed to do, how their data is used, and how they can reach a human expert when the situation is personal or complex.

Trust is part of the experience

Responsible AI governance is not an addendum to the employee experience. It is part of the employee experience. Trust is created by how quickly a system responds and by whether employees believe the system is fair, transparent, and appropriately bounded.

For GCC leaders, the AI advantage is unlikely to hinge on automating the greatest number of interactions; it will come from designing a human-centred, AI-enabled employee experience that makes everyday work more meaningful. That is how AI can evolve HR from a transaction-management function into an intelligent, strategically valuable employee-experience platform.

About the author

Jerish Joseph

Chief People Officer, Embark

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