Will AI mean the end of call centres? Ask ChatGPT whether AI will replace humans in the customer service industry, and it will offer a diplomatic answer, the summary of which is they will work side by side. Humans though, are not so optimistic. Last year, the chief executive of Indian technology firm Tata Consultancy Services, K Krithivasan, told the Financial Times that AI may soon mean that there is minimal need for call centres in Asia. Meanwhile, AI will autonomously resolve 80% of common customer service issues by 2029, predicts business and technology research firm Gartner.

This paper investigates the application of Reinforcement Learning (RL) to optimise call routing in call centres to minimise client waiting time and staff idle time. Two methods are compared: a model-based approach using Value Iteration (VI) under known system dynamics, and a model-free approach using Proximal Policy Optimisation (PPO) that learns from experience. For the model-based approach, a theoretical model is used, while a simulation model combining Discrete Event Simulation (DES) with the OpenAI Gym environment is developed for model-free learning. Both models frame the problem as a Markov Decision Process (MDP) within a Skills-Based Routing (SBR) framework, with Poisson client arrivals and exponentially distributed service and abandonment times. For policy evaluation, random, VI, and PPO policies are evaluated using the simulation model. After 1,000 test episodes, PPO consistently achives the highest rewards, along with the lowest client waiting time and staff idle time, despite requiring longer training time.

Something happened on November 30 that many experts believe could rank among the seminal moments in modern technology. At first, it sounds underwhelming: a company in California released a chatbot. Not a primitive "how can I help you" chatbot that appears on websites, leaving you yearning for human interaction. This is the most sophisticated chatbot yet, and it has left even the most cynical and knowledgeable observers slack-jawed at its capabilities. More than two million people have been playing with ChatGPT, discovering that it can write scripts, essays, contracts, computer code, jokes, poems and marketing pitches to a high level. It synthesises long pieces of text, does business analysis, translates languages, gives creative suggestions and can answer hypotheticals.

Replacing human agents with AI chatbots could save the call centre industry up to $80bn in labour costs per year by 2026 and $240bn by 2031, according to a new report by Gartner which also predicts $1.99bn will be spent by the sector on AI this year alone. The report predicts that the number of interactions between customers and a call centre handled by AI will go from 2% in 2022 to more than 15% by 2026, and double to 30% by 2031. About 17 million contact centre agents are working around the world today with 95% of costs associated with a call centre due to staffing. Daniel O'Connell, VP analyst for Gartner and author of the report, says that organisations are both struggling to recruit and needing to reduce those costs. "Conversational AI makes agents more efficient and effective, while also improving the customer experience," he said.

Artificial intelligence has been tapped by insurers to ramp up customer experience and accelerate the speed of decision-making. Customer Conversations When call centres were shut down during the pandemic, our AI-driven chatbot came to the fore. Not only did customers feel the same level of comfort that they did while interacting with call centre executives, as evidenced by the overnight spike in servicing via this medium, accompanied by a 90% dip in grievances, but the AI-driven chatbot went beyond the shift in plane from person-driven servicing to bot-driven servicing to include conversations in languages beyond English. More importantly, the servicing was not restricted to a few niche cases, but the most sought-after array of services that were offered by insurers via the call centre. Motor On the Spot Claim Servicing Traditional claim servicing involves the entire rigmarole of a call from the customer from the site of the crash of the vehicle to the insurance company, the appointment of a surveyor, his on-site visit and assessment, submission of the report to the firm and subsequent processing of the claims.

Language is one of the most intuitive ways humans use to communicate, alongside gestures and visual elements. Yet, we often take it for granted. Subtle factors that we generally consider insignificant, including our education, culture, previous experiences, and emotional states, influence how we use language as an effective communication tool. Misunderstanding others is a leading cause of frustration across all areas of our lives - among our family, friends, other loved ones, or employees, colleagues, and customers. In the case of business, misunderstanding is fraught with danger to reputation and profits.

For the past two years, the LA-based voice actor has run a sort of reverse call centre, deliberately ringing the people most of us hang up on – scammers who pose as tax agencies or tech-support companies or inform you that you've recently been in a car accident you somehow don't recall. When Okumura gets a scammer on the line, she will pretend to be an old lady, or a six-year-old girl, or do an uncanny impression of Apple's virtual assistant Siri. Once, she successfully fooled a fake customer service representative into believing that she was Britney Spears. "I waste their time," she explains, "and now they're not stealing from someone's grandma." Okumura is a "scambaiter" – a type of vigilante who disrupts, exposes or even scams the world's scammers.

Financial institutions are using AI-powered solutions to unlock revenue growth opportunities, minimise operating expenses, and automate manually intensive processes. Many in the financial services industry believe strongly in the potential of AI. A recent survey by NVIDIA of financial services professionals showed 83% of respondents agreeing that AI is important to their company's future success. The survey, titled'State of AI in Financial Services', also showed a substantial financial impact of AI for enterprises with 34% of those who replied agreeing that AI will increase their company's annual revenue by at least 20%. The approach to using AI differed based on the type of financial firm.

Digital technology is the future of every industry. Insurance companies that use traditional methods to carry out their operations face several bottlenecks in their operations that may result in inefficiencies and lower customer satisfaction. Consequently, many insurance companies are seeking and actively developing digital technologies to streamline their processes, assess risk better, reduce cost, and increase customer satisfaction. Further, insurance advisors are also adopting digital tools to better interact with their customers and make the process of buying insurance seamless. Some of the more common digital tools that insurance companies can leverage are discussed below.

Hold music could one day be a thing of the past thanks to a service coming to Google's smartphones. Hold for Me, which launches on Thursday in the US for owners of Google's Pixel 5 and Pixel 4a phones, involves Google's AI tools taking over as an automatic secretary when on hold to a call centre, leaving the user free to put down the phone and carry on with their life. The service will listen out for when the call is picked up and send a notification when it's time for the user to get back on the phone. In the meantime, Google's assistant will ask the call centre to hold, hopefully stopping them from hanging up because of dead air. "Every business's hold loop is different and simple algorithms can't accurately detect when a customer support representative comes on to the call," Google's Andrew Goodman and Joseph Cherukara said.