AI technology is significantly reshaping customer service operations, offering benefits such as scaled intelligence, reduced waiting times, and more consistent support quality. A recent survey by Bain & Company revealed that nearly 32% of AI projects in customer service have progressed beyond the pilot stage, signaling that businesses are increasingly seeing tangible benefits from their AI investments.
Andrew Leal, CEO and founder of Waggel, a pet insurance company, emphasized the advantages of AI chatbots, stating, “You can offer customers 24/7 assistance and the speed of AI chatbots when surfacing information.” Waggel’s implementation of AI has not only improved consistency in claims handling but also assisted team members in navigating processes by flagging missing information or suggesting next steps based on historical outcomes.
Anshuman Singh, CEO at HGS UK, highlighted the potential for quality assurance driven by AI, noting that traditional contact centers typically audit only 1-3% of interactions. In contrast, AI systems enable full coverage of calls and chats through automated scoring and sentiment analysis, enhancing customer service quality.
Despite these advantages, the adoption of AI in customer service has also raised concerns. A global poll conducted by the British Standards Institution (BSI) found that nearly 40% of business leaders reported a reduction in headcount due to AI implementation. Laura Bishop, BSI’s digital sector lead for Artificial Intelligence & Cyber Security, stated, “When an organization opts to implement AI technology into their customer service operations, they should take a socio-technical approach.” She advocates for a strategy that balances the need for quick AI support against the requirement for human interaction in more complex scenarios.
Experts suggest that businesses should evaluate the potential of AI on a case-by-case basis. For instance, accent and identity masking technology is under scrutiny for its ethical implications in customer service roles. Rohan Whitehead, a data training specialist at the Institute of Analytics, noted the sensitivity of these technologies, particularly regarding transparency in AI interactions. Under the EU AI Act, companies must inform users when they are engaging with AI systems, and failure to do so may obscure workplace diversity.
As AI agents increasingly handle routine tasks, a 2025 Gartner report anticipates that agentic AI will resolve 80% of common customer service issues. Livia Bernardini, CEO at Future Platforms, explained that this shift represents a transition from traditional “Know Your Customer” models to “Know Your Agent,” as intelligent agents become capable of transacting on behalf of users.
Simon James, head of Data Science and AI at Publicis Sapient, echoed this sentiment, emphasizing the effectiveness of specialized agents in customer service. He stated, “What’s particularly exciting is the emergence of agent-to-agent interactions.” James added that organizations optimizing for both agent experience (AX) and customer experience (CX) will capture significant value.
Looking ahead, industry experts acknowledge that AI’s impact could lead to significant changes in job roles within customer service. Whitehead expressed an expectation that customer service will evolve into an AI-first paradigm, where human agents serve as a safety net for high-value or complex interactions. Singh concurred, advocating for a collaborative model that leverages AI as a support tool, allowing human agents to focus on empathy and problem-solving.
Kate Field, global head of human and social sustainability at BSI, emphasized the importance of AI literacy training for employees to ensure effective collaboration. “Staff need critical thinking skills to question and validate AI outputs,” she noted. Failure to equip employees with these skills risks poor decision-making and negative customer service outcomes.
Organizations that strategically implement AI chatbots can expect to handle simpler inquiries autonomously, while more complex queries will still require human intervention. Industry leaders like James believe that, “The opportunities are immense, and organizations that approach AI deployment strategically will capture significant competitive advantages.”
However, as UK regulators such as the FCA and Ofgem emphasize accountability in AI systems, businesses must consider the potential risks of alienating vulnerable customers. Field warned that assuming all customers are comfortable engaging with AI may exacerbate existing divides, particularly for older or less tech-savvy individuals. As companies plan their AI strategies, understanding these dynamics will be crucial in ensuring equitable access to customer service.
As AI continues to transform customer interactions, the balance between efficiency and empathy will be a defining challenge for businesses in the coming years.
See also
India Advances Global AI Ethics with Comprehensive Standards at Upcoming AI Impact Summit 2026
Mistral Secures ₹100 Crore Defence Radar Subsystem Order for LLTR Ashwini Programme
Germany”s National Team Prepares for World Cup Qualifiers with Disco Atmosphere
95% of AI Projects Fail in Companies According to MIT
AI in Food & Beverages Market to Surge from $11.08B to $263.80B by 2032
