Explore expert perspectives on industry transformation, emerging technologies, and business innovation. Stay ahead with insights from WNS thought leaders.
AUTHOR(s)
Divya Baweja
Senior Analyst, Everest Group
Mohit Kumar
Sharang Sharma
Vice President, Everest Group
Shirley Hung
Partner, Everest Group
The advent of powerful AI models like OpenAI’s ChatGPT has sparked a surge in interest and investments in Generative AI (Gen AI) for business transformation. Notably, Gen AI’s transformative impact extends to Customer Experience Management (CXM). Gen AI’s ability to generate diverse content and analyze data holds promise for revolutionizing operations and delivering personalized customer experiences.
While Gen AI presents transformative potential for CXM, companies must overcome challenges to harness its benefits fully. These challenges include establishing a robust technology infrastructure, sourcing sufficient training data, and addressing data privacy and security concerns. Additionally, obstacles like cultural inertia, talent shortages and regulatory ambiguity may hinder the adoption of Gen AI in CXM operations, requiring careful consideration for successful implementation.
To gauge enterprise readiness to implement Gen AI within CXM operations, Everest Group surveyed CXM, digital transformation, and innovation leaders from 200 companies across North America, the UK and Europe, and Asia Pacific. Everest Group gathered responses from global enterprises primarily in the Telecom & Media; Banking, Financial Services, and Insurance (BFSI); Healthcare; Retail and Technology, and Fast Growth Technology (FGT) / Hi-Tech industries.
WNS has sponsored the report created using the findings of this survey.
Download the report to discover:
Generative AI in customer experience is transforming CX strategies by enabling enterprises to deliver more personalized interactions, automate content and customer-service tasks, analyze information faster, and support employees with intelligent assistance. It helps organizations improve customer satisfaction, operational efficiency, scalability, and cost effectiveness while creating more responsive and adaptive customer journeys.
CXM transformation with generative AI enables organizations to create highly personalized customer interactions by analyzing customer information, generating relevant content, and supporting real-time service responses. It can automate repetitive activities, assist customer-service employees, improve response quality, and help enterprises deliver faster, more consistent experiences across multiple customer touchpoints and channels.
Enterprise readiness for generative AI depends on several factors, including technology infrastructure, data quality and availability, AI and digital talent, organizational processes, regulatory compliance, security capabilities, and change-management readiness. Previous experience with transformative technologies and the ability to integrate AI into existing CX operations also influence an enterprise’s overall preparedness.
Organizations can address challenges in generative AI customer experience management by establishing strong data governance, privacy controls, security frameworks, compliance processes, and responsible AI practices. They should also evaluate data quality, strengthen infrastructure, develop relevant talent, establish appropriate safeguards, and adopt structured implementation and change-management approaches before scaling Gen AI across CX operations.
Generative AI adoption in CXM is being accelerated by the need to improve customer satisfaction, personalize experiences, increase operational efficiency, reduce costs, and respond faster to customer needs. Across BFSI, healthcare, retail, and telecom, enterprises are exploring Gen AI to automate CX processes, enhance employee capabilities, analyze data, and create scalable customer interactions.
WNS generative AI CX solutions help enterprises accelerate CX transformation by combining domain expertise, technology capabilities, data-driven insights, and AI-enabled solutions. WNS supports organizations in identifying relevant Gen AI opportunities, addressing readiness challenges, improving customer and employee experiences, and implementing scalable AI capabilities aligned with business objectives and customer experience priorities.
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