The recent Australian Federal budget allocated $124.2 million to building Australia’s AI capabilities.
This was with the government flagging AI implementation as a key way to grow the economy, support industry competitiveness, create jobs and improve lives. This initiative, coupled with the rapidly changing state of businesses across the globe in the wake of COVID-19, has resulted in Australian businesses adopting new AI solutions to achieve streamlined operations while delivering new and transformative experiences through ‘digital transformation’ – or DX.
With extreme acceleration of AI adoption in the past year alone, we continue to see new and exciting applications being adopted that are truly changing the enterprise. By introducing innovative technologies such as conversational AI, Natural Language Processing (NLP) and Robotic Process Automation (RPA), businesses can implement a platform known as Conversational Service Automation (CSA) to “power” the entire front and backend operations and augment agent capabilities for improved productivity and employee experience.
By tapping into holistic, end-to-end AI capabilities, businesses can unlock their CX potential and transform their customer engagement. Conversational AI can offer businesses an AI-driven co-pilot that supports customers and agents through every step of the customer journey, thereby dramatically improving efficiency and quality of engagement.
Understanding how AI drives the customer journey
According to key findings from a COVID-era survey, there is still a strong preference for consumers to speak to a live agent when engaging with a business’s customer service team. AI-driven capabilities are able to transform these interactions, improving efficiency and quality of the customer journey. Conversational-AI delivers in-call alerts (real-time insights), guidance and real-time automation of repetitive agent tasks all while the agent is being co-piloted with AI. These features can play a pivotal role in building detailed customer personas for improved customer service.
For every query, complaint and call that comes in daily, contact centres collect an abundance of real-world data and live training. This allows AI led tech to learn about customers more intimately, making sense of what a customer prefers, identify patterns, uncover hidden relations, and systematise customer data – before a call even starts. All these go into making the entire customer request comprehensible for human agents to know when to take timely action.
AI also drives real-time automation of repetitive agent tasks including after-call work summarisation, call disposition, promises management and more. By leveraging AI and natural language processing (NLP), human agents can reduce time and effort spent on summaries for reporting, and obtain granular insights on calls with increased accuracy.
Utilizing customer interaction analytics to improve CX
Millions of hours of customer conversations are recorded year after year to fulfil quality standards, training demands, and compliance objectives by contact centres. All this data is hardly ever analysed or even drawn upon for humans to take action, which is why many do not realise its powerful potential. If 100% of the data from calls, emails, chat transcripts, social media and other customer interactions were turned into valuable information, imagine the infinite value and customer service proposition that businesses can unleash.
Recorded data can be deciphered with the use of customer interaction analytics. By analysing conversational data after every interaction, businesses can discover root causes that lead to customer dissatisfaction. With sentiment analysis, the programme is able to determine key phrases, trending topics and even emotional states based on the conversations the customer has with the agent.
Customer interaction analytics can also highlight any issues that require immediate attention. It can pre-emptively discover ways to reduce customer churn, failed sales efforts, and repeat contact rates and ensure first contact resolution. All this can directly influence enhancing the customer experience – and agent experience – which will ultimately improve overall satisfaction.
Enhancing a business’s greatest asset: Employees
Businesses will have to increasingly examine the entire CX journey from a holistic perspective. AI should aim to empower customer journeys, marketing efforts, and employee training. While new technologies can power contact centres, businesses must ensure that there is still human presence to ensure solutions are being implemented to meet customers’ end goals. This includes empowering agents to foster real-time customer care through empathy and authenticity.
According to Nate Brown, Chief Experience Officer at Officium Labs, building relationships with customers can only be achieved through mission driven CX. Brown said that Business leaders have to “show and demonstrate an organisation’s values through CX and its employees, to communicate a brand identity authentically. One cannot separate brand proposition, culture, employee experience, or customer experience – it’s a journey that should be continuously forming.
The idea of achieving a fully AI-powered contact centre should not be thought of as the end goal. Business leaders should see AI as a powerful tool to help them achieve exceptional CX on the front-end and superior DX on the backend. Technology can reach its optimum potential when a human agent can act on the actionable insights it draws. It is only beneficial if it improves agent productivity and wellbeing, and it is simply only needed if it makes humans’ lives better. More businesses need to see the process as a holistic one and combine all their efforts and investments to achieve an improved experience for all.