In today’s competitive business landscape, delivering exceptional customer experiences is crucial to winning new clients and fostering long-lasting customer loyalty. Research has shown that poor customer service can cost businesses around USD 75 billion in a year and that 1 in 3 customers is likely to abandon a brand after a single negative experience. Organisations excelling at personalised customer interactions across channels have a significant market edge.
In a recent webinar with Shivram Chandrasekhar, Solutions Architect at Twilio, we delved into strategies for creating this edge. How can contact centres optimise interactions to boost cost efficiency and customer satisfaction? We discussed the pivotal role of voice in providing personalised customer experiences, the importance of balancing AI and human interaction for enhanced satisfaction, and the operational advantages of voice intelligence in streamlining operations and improving agent efficiency.
The Voice Advantage
Despite the rise of digital channels, voice interactions remain crucial for organisations seeking to deliver exceptional customer experiences. Voice calls offer nuanced insights and strategic advantages, allowing businesses to address issues effectively and proactively meet customer needs, fostering loyalty and driving growth.
There are multiple reasons why voice will remain relevant including:
- In many countries it is mandatory in several industries such as Financial Services, Healthcare, & Government & Emergency Services.
- There are customers who simply favour it over other channels – the human touch is important to them.
- It proves to be the most effective when it comes to handling complex and recurrent issues, including facilitating effective negotiations and better sales closures; Digital and AI channels cannot do it alone yet.
- Analysing voice data reveals valuable patterns and customer sentiments, aiding in pinpointing areas for improvement. Unlike static metrics, voice data offers dynamic feedback, helping in proactive strategies and personalised opportunities.
AI vs the Human Agent
There has been a growing trend towards ‘agentless contact centres’, where businesses aim to pivot away from human agents – but there has also been increasing customer dissatisfaction with purely automated interactions. A balanced approach that empowers human agents with AI-driven insights and conversational AI can yield better results. In fact, the conversation should not be about one or the other, but rather about a combination of an AI + Human Agent.
Where organisations rely on conversational AI, there must be a seamless transitioning between automated and live agent interactions, maintaining a cohesive customer experience. Ultimately, the goal should be to avoid disruptions to customer journeys and ensure a smooth, integrated approach to customer engagement across different channels.
Exploring AI Opportunities in Voice Interactions
Contact centres in Asia Pacific are looking to deploy AI capabilities to enhance both employee and customer experiences.
Using predictive AI algorithms on customer data helps organisations forecast market trends and optimise resource allocation. Additionally, AI-driven identity validation swiftly confirms customer identities, mitigating fraud risks. By automating transactional tasks, particularly FAQs, contact centre operations are streamlined, ensuring that critical calls receive prompt attention. AI-powered quality assurance processes provide insights into all voice calls, facilitating continuous improvement, while AI-driven IVR systems enhance the customer experience by simplifying menu navigation.
Agent Assist solutions, integrated with GenAI, offer real-time insights before customer interactions, streamlining service delivery and saving valuable time. These solutions automate mundane tasks like call summaries, enabling agents to focus on high-value activities such as sales collaboration, proactive feedback management, and personalised outbound calls.
Actionable Data
Organisations possess a wealth of customer data from various touchpoints, including voice interactions. Accessing real-time, accurate data is essential for effective customer and agent engagement. Advanced analytics techniques can uncover hidden patterns and correlations, informing product development, marketing strategies, and operational improvements. However, organisations often face challenges with data silos and lack of interconnected data, hindering omnichannel experiences.
Integrating customer data with other organisational sources provides a holistic view of the customer journey, enabling personalised experiences and proactive problem-solving. A Customer Data Platform (CDP) breaks down data silos, providing insights to personalise interactions, address real-time issues, identify compliance gaps, and exceed customer expectations throughout their journeys.
Considerations for AI Transformation in Contact Centres
- Prioritise the availability of live agents and voice channels within Conversational AI deployments to prevent potential issues and ensure immediate human assistance when needed.
- Listen extensively to call recordings to ensure AI solutions sound authentic and emulate human conversations to enhance user adoption.
- Start with data you can trust – the quality of data fed into AI systems significantly impacts their effectiveness.
- Test continually during the solution testing phase for seamless orchestration across all communication channels and to ensure the right guardrails to manage risks effectively.
- Above all, re-think every aspect of your CX strategy – the engagement channels, agent roles, and contact centres – through an AI lens.
CX leaders in Australia are actively refining their customer and employee strategies. Due to high contact centre operational costs, outsourcing to countries like the Philippines, Fiji, and South Africa has gained popularity. However, compliance issues restrict some organisations from outsourcing. Despite cost constraints, elevating customer experience (CX) through AI, self-service, and digital channels remains crucial. High agent attrition also highlights the need to enhance employee experience (EX).
Meeting these challenges has prompted organisations to assess AI and automation solutions to enhance efficiency, cut costs, and improve EX. Australian CX teams hold extensive data from diverse applications, underscoring the need for a robust data strategy – that can provide deeper insights into customer journeys, proactive service, improved self-service options, and innovative customer engagement.
Here are 5 ways organisations in Australia can achieve their CX objectives.
Download ‘Australian CX Dynamics: Balancing Cost, Compliance, and Employee Experience‘ as a PDF.
#1 Prioritise Omnichannel Orcheshtration
Customers want the flexibility to select a channel that aligns with their preferences – often switching between channels – prompting organisations to offer more engagement channels.
Aim for unified customer context across channels for deeper customer engagement.
Coordinating all channels ensures consistent experiences for customers, with CX teams and agents accessing real-time information across channels. This boosts key metrics like First Call Resolution (FCR) and reduces Average Handle Time (AHT).
It is important not to overlook voice when crafting an omnichannel strategy. Despite digital growth, human interaction remains crucial for complex inquiries and persistent challenges. Context is vital for understanding customer needs, and without it, experiences suffer. This contributes to long waiting times, a common customer complaint in Australia.
#2 Eliminate Data Silos
Despite having access to customer information from multiple interactions, organisations often struggle to construct a comprehensive customer data profile capable of transforming all available data into actionable intelligence.
A Customer Data Platform (CDP) can eliminate data silos and provide actionable insights.
- Identify behavioural trends by understanding patterns to personalise interactions.
- Spot real-time customer issues across channels.
- Uncover compliance gaps and missed sales opportunities from unstructured data.
- Look at customer journeys to proactively address their needs and exceed expectations.
#3 Embed AI into CX Strategies
The emergence of GenAI and Large Language Models (LLMs) has thrust AI into the spotlight, promising to humanise its capabilities. However, there’s untapped potential for AI and automation beyond this.
Australian organisations are primarily considering AI to address key CX priorities: enhancing efficiency, cutting costs, and improving EX.
Agent Assist solutions offer real-time insights before customer interactions, improving CX and saving time. Integrated with GenAI, these solutions automate tasks like call summaries, freeing agents to focus on high-value activities such as sales collaboration, proactive feedback management, personalised outbound calls, and skill development. Predictive AI algorithms go beyond chatbots and Agent Assist solutions, leveraging customer data to forecast trends and optimise resource allocation.
#4 Keep a Firm Eye on Compliance
Compliance in contact centres is more than just a legal requirement; it is core to maintaining customer trust and safeguarding brand’s reputation.
Maintaining compliance in contact centres is challenging due to factors such as the need to follow different industry guidelines, constantly changing regulatory environment, and the shift to hybrid work.
Organisations should focus on:
- Limiting individual stored data
- Segregating data from core business applications
- Encrypting sensitive customer data
- Employing access controls
- Using multi-factor authentication and single sign-on systems
- Updating security protocols consistently
- Providing ongoing training to agents
#5 Implement New Technologies with Ease
Organisations often struggle to modernise legacy systems and integrate newer technologies, hindering CX transformation.
Delivering CX transformation while managing multiple disparate systems requires a platform that can integrate desired capabilities for holistic CX and EX experiences.
A unified platform streamlines application management, ensuring cohesion, unified KPIs, enhanced security, simplified maintenance, and single sign-on for agents. This approach offers consistent experiences across channels and early issue detection, eliminating the need to navigate multiple applications or projects.
Capabilities that a platform should have:
- Programmable APIs to deliver messages across preferred social and messaging channels.
- Modernisation of outdated IVRs with self-service automation.
- Transformation of static mobile apps into engaging experience tools.
- Fraud prevention across channels through immediate phone number verification APIs.
Ecosystm Opinion
Organisations in Australia must pivot to meet customers on their terms, and it will require a comprehensive re-evaluation of their CX strategy.
This includes transforming the contact centre into an “Intelligent” Data Hub, leveraging intelligent APIs for seamless customer interaction management; evolving agents into AI-powered brand ambassadors, armed with real-time insights and decision-making capabilities; and redesigning channels and brand experiences for consistency and personalisation, using innovative technologies.