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Home Technology

It’s time to be more strategic about AI in customer service

Vasupradha Srinivasan by Vasupradha Srinivasan
July 2, 2024
Photo by Mikhail Nilov: https://www.pexels.com/photo/shallow-focus-of-woman-working-in-a-call-center-7682340/

Photo by Mikhail Nilov: https://www.pexels.com/photo/shallow-focus-of-woman-working-in-a-call-center-7682340/

Generative AI has topped the list of customer inquiries and conversations that I have been having this year — no surprises there! Interestingly, at least half of them have been about AI in customer service and chatbots, virtual assistants, and knowledge bots for customers, which seem top of mind for most customer service leaders. This makes us wonder if this is the limit of what AI can do for customer service.

I think not.

AI use cases

These are the most obvious and simplest use cases that need the least amount of disruption in existing customer service operations, seen as easily done and deemed relatively safe to start experimenting with generative AI for customer-facing use cases.

But larger and more ambitious experimentation has emerged for internal and employee-facing customer service use cases. Case summarisation, synthetic data for forecasting and staffing, and AI-infused training and coaching are delivering significant improvements in productivity, performance, and cost of operations for many customer service teams.

Siloed, disconnected

The problem, though, is that these are still siloed, disconnected use cases with incremental impact in the larger scheme of things.

To truly unleash the potential of AI, there needs to be a fundamental shift in how we infuse AI into customer service, and the starting point is to stop thinking about AI as a point solution that does one thing really well. We need to move away from AI solutions that improve a single touchpoint and build AI-infused workflows for customer service.

Connected journeys

To be more intentional and strategic about how we leverage AI for customer service, we need to start identifying all AI-impacted processes within the customer service ecosystem and the connections that exist between them.

This means connected journeys that span contact center operations, the customer service workforce, performance and talent management frameworks, and the customer. And let’s not forget all the tech that powers these connected journeys, not an easy task for even the most advanced customer service organisations.

Originally posted on Forrester

Related:  ServiceNow launches mobile apps for everyday work across the enterprise
Tags: Artificial IntelligenceCustomer experiencecustomer serviceForrester
Vasupradha Srinivasan

Vasupradha Srinivasan

Vasu is a principal analyst at Forrester helping customer service and contact center technology leaders navigate and resolve the challenges in building and orchestrating winning customer experience strategies. Vasu advises Forrester clients on how to transform the contact center and customer engagement with practical insights into technology, platforms, data and analytics, defining strategy, and achieving operational excellence. Her research also focuses on business process outsourcing (BPO) and the role of insights and technology in transforming BPO and contact center services. Vasu’s research covers current and emerging technologies like digital adoption platforms, workforce optimization platforms, conversational AI, generative AI, and customer service automation. Previous Work Experience Vasu has worked in various channel transformation, channel insights, customer experience, and strategy roles at BPOs. Most recently, she led the channel transformation and insights-driven BPO practice at Wipro, where she drove technology and market strategy for digital channels of support, including chatbots, chat, virtual assistants, social support, and AI-driven customer engagement applications in both voice and text. Prior to that, Vasu was with [24]7.ai, where she worked in a variety of transformation-focused roles within the customer engagement space. Education Vasu has a degree in computers and statistics from Bangalore University and a master’s degree from Pondicherry University.

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