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Explore expert perspectives on industry transformation, emerging technologies, and business innovation. Stay ahead with insights from WNS thought leaders.

Re-wiring Contact Centers for AI-driven Operations

How human + AI operating models are re-defining enterprise operational excellence

Read | Jun 01, 2026

AUTHOR(s)

Sikha Murali

Global Head, Energy & Utilities

Key Points

Enterprise operations are entering a new phase. As organizations accelerate AI transformation strategy initiatives, contact centers and customer service ecosystems are evolving from transactional support functions into intelligent operations environments focused on agility, scalability and strategic value creation.

In this leadership viewpoint, Shikha Murali examines how AI-driven operations, intelligent automation and operational excellence frameworks are transforming global customer operations across regulated and fast-evolving industries.

Drawing on over two decades of experience in business process transformation, operational excellence and AI-powered service delivery, Shikha explains why the future of enterprise service delivery will rely on automation and building effective human + AI collaboration models that improve customer experience while strengthening operational resilience.

What This Viewpoint Explores

  • How AI in business operations is transforming enterprise customer operations

  • Why intelligent customer operations require both technology and workforce evolution

  • The growing importance of AI-enabled decision-making and intelligent workflow automation

  • How enterprises are shifting toward outcome-based operations and strategic value creation

  • Why governance, analytics and scalable operating models are critical for sustainable AI-powered business transformation

Key Executive Insights

Rather than treating AI as a standalone technology deployment, the article positions enterprise transformation through AI as a disciplined operational re-design effort, one that combines process rigor, intelligent automation solutions and adaptive leadership.

As AI-powered customer experience platforms increasingly manage routine interactions, enterprises are re-designing workflows so that operational teams can focus on higher-value, judgment-intensive engagement. This shift is creating new opportunities for scalable service operations, predictive operations and enterprise-wide operational agility.

The viewpoint also examines how organizations can balance innovation with compliance across highly regulated sectors such as energy, banking and financial services, and insurance, where operational excellence, governance and customer trust remain non-negotiable.

A key theme throughout the article is the evolution from traditional efficiency programs toward intelligent, outcome-based operations models in which enterprise service delivery is directly tied to measurable business impact, customer outcomes and long-term transformation goals.

About the Author

Shikha Murali
Shikha Murali
Global Head, Energy & Utilities
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Shikha is the Global Head of Energy and Utility Operations at WNS and a Six Sigma Master Black Belt. With 20+ years of experience, she advises energy, utility and financial services organizations on operational excellence, service delivery transformation and continuous improvement.

FAQs

1. How are AI-driven operations transforming enterprise service delivery?

AI-driven operations are transforming enterprise service delivery through intelligent automation, analytics-led workflows, predictive insights, and human + AI collaboration, improving efficiency, scalability, and customer experience outcomes.

2. What are the benefits of intelligent operations for enterprises?

Intelligent operations help enterprises improve operational efficiency, reduce costs, enhance decision-making, strengthen customer engagement, and create more scalable and resilient business operations.

3. Why are enterprises adopting human + AI operating models?

Enterprises are adopting human + AI operating models to combine automation with human judgment, enabling better management of complex customer interactions, operational agility, and workforce productivity.

4. How can organizations scale AI transformation across operations?

Organizations can scale AI transformation through strong governance frameworks, analytics-led decision-making, workforce upskilling, cloud-enabled infrastructure, and phased operational deployment strategies.

5. What is the future of AI-powered customer operations?

The future of AI-powered customer operations will focus on predictive intelligence, intelligent automation, personalized engagement, operational resilience, and outcome-based enterprise service delivery models.