The potential of GenAI in customer support operations

Throughout history, we have seen remarkable advances in technology - the computer, the internet, the smartphone. All have become integrated into daily life in ways we now take for granted. Generative AI is no different. Just like smartphones, GenAI will soon be embedded in everything we do.

According to Gartner, by 2026, more than 80% of enterprises will have used GenAI APIs or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023. In customer support specifically, it is evident that GenAI can significantly improve operations - making them faster, more efficient, and more cost-effective. The challenge is to understand when and how GenAI is most effective at each stage of the customer journey.

GenAI vs. Rules-based chatbots

Generative AI models are trained on massive datasets, learning patterns and relationships within the data they are exposed to. Such models are then able to generate content that mimics the information they were trained on. GenAI models are capable of a much wider range of appropriate responses than rules-based chatbots, which are limited to returning predetermined responses based on their initial programming.

The role of GenAI across the customer lifecycle

GenAI can facilitate better customer interactions at nearly every touchpoint. In the customer acquisition phase, it can handle inquiries about products and services and act on information stored in a centralised knowledge management system - the same knowledge base your operations team uses.

GenAI can also support sales during customer acquisition by analysing millions of conversations to determine the most effective sales methods - identifying which pitch was most persuasive and when the best time to make an offer is. This information can be used to better train human agents and remove guesswork from sales.

As a customer transitions from the prospecting phase to the purchasing phase, GenAI bots can carry on conversations to nurture customers and even facilitate sales, independently or with human assistance. After a sale is final, GenAI bots can support the customer by walking them through product setup or answering service questions.

Beyond customer service, GenAI can be used to improve internal processes such as quality control, sales optimisation, loyalty programmes, and competitive analysis. By drawing conclusions from vast amounts of data, GenAI provides insights that drive more effective training, better quality assurance, and more strategic decision-making.

GenAI use cases in customer support operations

• Billing inquiries: A GenAI bot can interact with customers 24/7, providing immediate access to billing information. This speeds up response time, reduces the cost of overnight chat support teams, and provides accurate and consistent information.
• Technical support: GenAI can provide step-by-step setup and troubleshooting assistance. Customers can have natural conversations to quickly diagnose issues, and bots can escalate more complex issues to support technicians when needed.
• Quality call monitoring: Utilising GenAI to capture and evaluate every call without increasing headcount is helping organisations improve agent call quality, quickly generate scorecards, and identify and address individual issues fast.
• Customer acquisition and onboarding: When integrated with product and service databases, GenAI bots provide accurate, up-to-date information that helps convert prospects into customers. During onboarding, GenAI can personalise the experience by suggesting products or services tailored to a customer's needs.
• Competitive advantage: With GenAI, organisations can easily analyse insights from massive datasets or across complex functions, maximising operational efficiency and driving strategic decision-making. Partnering with a firm that has both deep domain knowledge and GenAI expertise ensures implementation is done right.

Cost savings and efficiency gains

When people think of the savings that come from GenAI, they tend to think of reducing labour through automation. While automation certainly provides cost savings, GenAI can deliver far beyond that. It can analyse almost all areas of your business operations to uncover opportunities for improvement - including consistency, speed, and scalability when interacting with customers, reduced wait times, personalised service, and proactive support, all of which increase customer loyalty.

Benefits of using GenAI-powered bots

A bot interaction costs significantly less than an interaction handled by a human agent - potentially two to three times cheaper. This cost efficiency stems from several factors:

• 24/7 availability: Unlike human agents, who work in shifts and require breaks, bots can operate around the clock without downtime, handling customer inquiries at any time without overtime costs.
• Scalability: Bots can manage multiple interactions simultaneously, whereas human agents can only handle one customer at a time. This reduces the need for a large workforce during high-volume periods.
• Consistency and speed: Bots provide consistent responses drawing from your entire information database. They reduce average handling time per interaction, a key driver of operational costs in customer service.

In the telecom industry, GenAI cost savings may start at around 10 to 15 percent in the first six months and can reach 20 to 30 percent within the next 12 months, growing as the system becomes more refined and integrated.

Efficiency gains and customer loyalty

By automating routine tasks and inquiries, GenAI allows human agents to focus on more complex and nuanced customer issues, optimising workforce allocation. Around-the-clock support means inquiries are addressed promptly, regardless of the time. Reduced wait times and faster answers across all interactions greatly improve the overall service experience. Better customer service leads to higher satisfaction and increased loyalty.

GenAI technologies also learn from customer interactions over time, allowing them to deliver more personalised and contextually relevant responses. Their interactions feel more natural and tailored to individual customers' needs. AI-powered solutions can analyse customer data to understand preferences, behaviours, and past interactions - enabling the delivery of personalised answers, offers, and recommendations that make customers feel valued.

Understanding human enhancement through AI

Despite the power of GenAI and its benefits for cost reduction and efficiency, it works best as a complement to humans, not a replacement. GenAI is most effective when it works alongside people, and there are a few ways to make this happen.

Customer service agents assisted by bots: A powerful combination

Initially, GenAI in customer service primarily focused on bots assisting human agents. This allowed agents to focus on complex, high-value interactions by offloading routine queries and tasks. Agents benefited from AI's ability to quickly access information libraries, reducing time spent searching for answers.

There has since been a shift toward a more advanced model where the primary interaction is between the customer and the bot, with human agents stepping in only if the AI gets stuck. This model flips traditional roles, with GenAI handling the majority of customer interactions. Human agents are not replaced but redeployed to roles where their empathy and problem-solving add the most value. They oversee the AI and handle complex issues that require nuanced understanding or creative problem-solving. This tiered approach provides the most appropriate support at every touchpoint.

The interaction between bots and agents creates a feedback loop where bots continuously learn from complex cases handled by human agents, resulting in continuous improvement over time.

The importance of the human touch

The essence of customer service - genuine human connection - is irreplaceable. Organisations need to achieve a balance between leveraging cutting-edge technology and preserving the human element to deliver service that is both efficient and empathetic.

AI, no matter how advanced, cannot truly understand human emotions and respond with genuine empathy. In complex situations, your customer support team continues to play a crucial role. Customer service representatives can engage in complex problem-solving with creativity and insight, offering solutions that require a deeper understanding of the problem and the customer's unique circumstances.

Ideally, you achieve a symbiotic relationship where AI and humans complement each other's strengths. AI takes on repetitive tasks, allowing human agents to focus on interactions that require a personal touch. This division of labour increases operational efficiency while giving customers the most appropriate support.

The future of customer support operations

There will likely be a continuing shift toward automation, personalisation, and efficiency driven by advanced AI technologies. A notable trend is the transition to a bot-first customer support strategy, where GenAI bots are the first point of contact and human agents are called in only for more complex or sensitive issues.

Despite the push toward automation, the future of customer support will still have a need for human agents. Companies will find success with a collaborative model in which GenAI and human agents work together. AI will enhance the capabilities of human agents by providing real-time information, suggestions, and automated assistance for routine tasks. Human agents, in turn, help refine the AI algorithms through their interactions and feedback.

Key recommendations for embracing AI-powered solutions

Begin with a clear vision. Define what you hope to achieve with GenAI integration - whether improving customer service efficiency, reducing operational costs, enhancing customer satisfaction, or all three. You will also need a deep understanding of your customers' preferences, behaviours, and pain points.

Conduct a pilot first. Start with pilot projects to test AI solutions in controlled environments. Measure impact on customer satisfaction, operational efficiency, and cost savings on a small scale before a company-wide rollout. Use the insights gathered to refine AI applications and ensure they align with the needs of your customers and business objectives.

Encourage human-AI collaboration. Position AI as a tool to augment your customer support team, not replace it. Train customer service agents on how to work alongside AI-powered solutions. Create a plan for transitioning certain functions to AI and reassigning human agents to roles where their empathy and problem-solving skills are most needed.

Ensure data privacy and security. Data privacy and security should be top priorities when considering AI solutions. Be transparent with customers about how their data is used and protected in order to maintain their trust. Stay on top of and comply with all relevant data protection regulations.

The takeaway

Bill Gates once said that 'Generative AI is the most significant technological advance in decades.' For organisations looking to stay competitive, the urgency to incorporate GenAI is real. GenAI is already changing the very essence of how businesses engage with consumers. Finding the right partner to identify how GenAI can improve customer support operations is critical.

For leaders looking to stay at the forefront of this advancement, Firstsource's FirstSenseAI platform offers an industry-specific solution to leverage the power of GenAI and unlock its value across customer support operations.