Last week Microsoft announced the acquisition of Nuance for an estimated USD 19.7 billion. This is Microsoft’s second largest acquisition ever, after they acquired LinkedIn in 2016. Nuance is an established name in the Healthcare industry and is said to have a presence in 10,000 healthcare organisations globally. Apart from Healthcare, Nuance has strong capabilities in Conversational AI and speech solutions to support other industries. This acquisition is in line with Microsoft’s go-to-market roadmap and strategies.
Microsoft’s Healthcare Focus
Microsoft announced their Healthcare Cloud last year and this acquisition will bolster their Healthcare offerings and market presence. Nuance’s product portfolio includes clinical speech recognition SaaS offerings – Dragon Ambient eXperience, Dragon Medical One and PowerScribe One for radiology reporting – on Microsoft Azure. The acquisition builds on already existing integrations and partnerships that were in place over the years.
“Microsoft Cloud for Healthcare offers its solution capabilities to healthcare providers using a ‘modular’ approach. Given how diverse healthcare providers are in their technology maturity and appetite for change, the more diverse the ‘modules’, the greater the opportunities for Microsoft. This partnership with Nuance also brings to the table established relationships with EHR vendors, which will be useful for Microsoft globally.
The Healthcare industry continues to struggle as the world negotiates the challenges of mass vaccination. But on the upside, the ongoing Healthcare crisis has given remote care a much-needed shot in the arm. Clinicians today will be more open to documentation and transcription services for process automation and compliance. The acquisition of Nuance’s Healthcare capabilities will definitely boost Microsoft’s market presence in provider organisations.
However, Healthcare is not the only industry that Microsoft and Nuance are focused on. The Microsoft Cloud for Retail that was launched earlier this year aims to offer integrated and intelligent capabilities to retailers and brands to improve their end-to-end customer journey. Nuance has omnichannel customer engagement solutions that can be leveraged in Retail and other industries. As Microsoft continues to verticalise their offerings, they will consider more acquisitions that will complement their value proposition.“
Microsoft’s Focus on Conversational AI
Microsoft already has several speech recognition offerings, speech to text services, and chatbots; and they continue to invest in the Conversational AI space. They have created an open-source template for creating virtual assistants to help Bot Framework developers. In February, Microsoft announced their industry specific cloud offerings for Financial services, Manufacturing, and Non-Profit, and also introduced a series of AI and natural language features in Microsoft Outlook, Microsoft Teams, Microsoft Office Lens and Microsoft Office mobile to deliver interactive, voice forward assistive experiences.
“There is no slowing down in this space and the acquisition clearly demonstrates the vision that Microsoft is building with Nuance – a vendor that has made speech recognition, text to speech, conversational AI the foundation of the company. This is a brilliant move by Microsoft in the Conversational AI space and a win-win for both companies.
This move could also mark further inroads for Microsoft into the contact centre space. With Teams now being integrated into contact centre technologies, working with large customers using speech and conversational AI, Dynamics 365 could herald the start of more acquisitions for Microsoft to bolster a wider customer engagement vision.
The Conversational AI war is heating up and various other cloud vendors such as Google and AWS are starting to get aggressive and have made investments in recent years to enhance their Conversational AIcapabilities. Google Dialogflow has been seeing rapid uptake and they now have deep partnerships with Genesys, Avaya, Cisco and other contact centre players. Microsoft coming into the game and acquiring a company with years of history and IP in the speech space, demonstrates how the cloud battle and the war between Google, Microsoft and AWS is heating up in the Conversational AI. All of a sudden you have Microsoft as a powerhouse in this game.”
Uniphore, a Conversational Service Automation (CSA) provider in the contact centre space announced two new services – U-Trust portfolio and U-Assist Assurance solution to support call centre agents and operations. The U-Trust portfolio includes U-Trust Agent to authenticate agents using unique voiceprints and U-Trust Environment to protect sensitive data. The other offering, U-Assist Assurance integrates RPA along with conversations AI and machine learning to track and deliver commitments made by agents in real-time during the call, to align with customer expectations and manages fulfilment post calls.
Security and Automation Driving Investments in Contact Centres
With agents working from both their home and the office, security is a bigger issue today than ever before. In 2021, contact centres will be under pressure to ensure all security requirements are met. For example: agents taking screenshots and photos of confidential information; family members having access to customer conversations and data; how agents access customer data. These are pertinent concerns that must be addressed and mechanisms around securing customer data will be of utmost priority. Any form of misuse of customer’s private information can have negative implications on the brand of a company.
With security efforts high on the agenda for contact centres, Uniphore is addressing critical issues faced by contact centres. The U-Trust portfolio aims to leverage biometrics for voice authentication and ensure safety in customer data handling. Uniphore is clearly listening to the market and have identified “problematic areas” that must be addressed. Ramping up security efforts especially with the work from anywhere model will be high on the agenda for every contact centre.
What is sometimes not talked about often enough in contact centres, is the integration to the back office. There are often follow ups required after the customer interaction – for example when a product needs to be ordered or serviced, the back office has an integral part to play in delivering customer experience. As contact centres realise that back office integration is critical there will be greater Investments in workplace collaboration, robotic process automation (RPA) and other automation technologies.
Uniphore is carving out a name in Conversational Service Automation. They are investing heavily in building an end-to-end automation solution for contact centres across Conversational AI, RPA and security capabilities. Cost pressures are rising and the need to automate will be greater than ever in 2021.
Uniphore focused on Growing AI/Automation Capabilities through Acquisitions & Partnerships
The last 12 months have been impressive for the company in terms of partnerships and acquisitions. For example, last October they partnered with NTT Data and will license NTT’s RPA technology for contact centres. The company issued a press release saying based on internal projections and the opportunities currently underway, this partnership could generate more than USD 50 million in revenue over the next five years. They also announced a partnership with Sitel. Through the partnership, Sitel will deploy Uniphore’s solution to its customer base. These are global partnerships that will help Uniphore scale its presence with outsourcers and in-house contact centres and help them with their customer experience transformation efforts.
Last month saw Uniphore collaborating with Idiap Research Institute, and joined World Economic Forum’s (WEF) Global Innovators Community. Uniphore and Idiap will work on the development of speech recognition algorithms, spoken language and signals for detection of emotions and semantic and pragmatic applications to generate insights and enhance customer experience. As a member of WEF, Uniphore will focus on co-designing and developing policy frameworks, standards for protecting children, creating an AI regulator for the 21st century and addressing concerns of facial recognition technology.
They also acquired Spanish video and emotion AI start-up Emotion Research Lab. Through this acquisition, Uniphore is looking to create advanced AI-based voice and video products for innovations in conversations service automation services and to expand its footprints in the European market. Moreover, combining voice and video AI with automation and machine learning will open up new use cases, including customer experience, sales, marketing, HR and other critical areas of business.
The comprehensive portfolio solution aims to strengthen overall contact centre interactions between customers and agents, optimise the connection through RPA and improve the contact centre security aspects through agent verification and data security.
2021 will see contact centres, dealing with new ways of working by employing various AI and Automation capabilities. See how you can empower your teams and agents to deliver exceptional customer experience in 2021. We outline the contact centre trends for 2021 in our Ecosystm Predicts: The Top 5 Contact Centre Trends for 2021 report.
Last week saw 8×8 and Verint announce a partnership that aims to deliver integrated cloud-based contact centre services and workforce management applications to medium and large enterprises worldwide. The integrated solution will leverage 8×8’s expertise in unified communications as a service (UCaaS) and contact centre as a service (CCaaS) with Verint’s workforce management solutions.
The Need for Better Workforce Optimisation Solutions
Talking about the need for integrated solutions such as this in the Contact Centre space, Ecosystm Principal Advisor for Enterprise Communications and Contact Centres, Audrey William, says, “With agents working from both their homes and the office, contact centres will be challenged with managing staffing requirements and scheduling. The key to delivering exceptional customer experience will be to have the right agent working on the right assignments, across the right channels. On top of that, contact centres have to manage shifts, flexible work hours and part-time agents working across multiple locations. This does not make workforce optmisation an easy task!”
“Driving better employee experience is a top priority for contact centres – and this will include investments in solutions that can alleviate stress for the agent. The industry continues to be challenged by agent attrition – the most common causes being work overload and stress. To provide a consistently good customer experience, contact centres have to listen better to their agents, understand their workloads better, show empathy, and monitor their emotional well-being A workforce optimisation solution will ensure that inbound enquiries are not impacted, and agents’ times are better utilised, through forecasting and better scheduling.”
Synergy between 8×8 and Verint
The single-vendor integrated communications and contact centre solution is anticipated to create better customer engagement and smoother remote operations by empowering employees and agents to plan, forecast and schedule contact centre activities and manage workloads through omnichannel routing.
William says, “8×8 has been establishing its presence in the unified communications and contact centre solutions space in Asia Pacific, particularly in small and medium enterprises (SMEs). Partnering with a market leader in workforce management such as Verint is a positive step. Verint’s strengths in gap analysis from historical data patterns and predicting will help 8×8’s customers to drive optimisation and accuracy in planning in the contact centre. This will have an impact on reducing overstaffing and overtime. Additionally, it will give agents greater control over their schedules and the flexibility to plan their shifts around their desired hours of work.”
“While 8×8 has its own workforce engagement solution, this partnership demonstrates how 8×8 is elevating its game and wants to offer its customers a more robust workforce management solution through Verint Monet and Verint Enterprise. This solution is also out of the box for 8×8’s customers without the need for professional services. That is a plus!”, says William.
There is a lot of hope on AI and automation to create intellectual wealth, efficiency, and support for some level of process stability. After all, can’t we just ask Siri or Alexa and get answers so we can make a decision and carry on?
Automation has been touted as the wonder formula for workplace process optimisation. In reality it’s not the quick fix that many business leaders desire. But we keep raising the bar on expectations from automation. Investments in voice technologies, intelligent assistants, augmented reality and touchscreens are changing customer experience (Figure 1). Chatbots are ubiquitous, and everything has the potential to be personalised. But will they solve our problems?
100 percent automation is not effective
Let’s first consider using automation to replace face-to-face interactions. There was a time when people were raving about the check-in experience at some of the hotels in Japan where robots and automated systems would take care of the check-in, in-stay and check-out processes. Sounds simple and good? Till 2019, if you checked into the Henn-na Hotel in Japan, you would be served and taken care of by 243 robots. It was viewed by many as a template for what a fully automated hotel could look like in the future.
The hotel had an in-room voice assistant called Churi. It could cope with basic commands, such as turning the lights on and off, but it was found to be deficient when guests started asking questions about places to visit or other more sophisticated queries. It was not surprising that the hotel decided to retire their robots. In the end it created more work for the hotel staff on-site.
People love the personal touch when they are in a hotel; and talking to someone at the front desk, requesting assistance from hotel staff, or even just a short chat over breakfast are some of the small nuances of why the emotional connection matters. Many quarantine hotels today use robots for food delivery, but the hotel staff is still widely available for questions. That automation is good, but you need the human intervention. So, getting the balance right is key.
Empathy plays a big role in delivering great Customer Experience
Similarly, there was a time when many industry observers and technology providers said that a contact centre will be fully automated, reducing the number of agents. While technologies such as Conversational AI have come along where you can now automate common or repetitive questions and with higher accuracy levels, the human agent still plays a critical role in answering the more complex queries. When the customer has a complicated question or request, then they will WANT to speak to an agent.
When it reaches a point where the conversation with the chatbot starts getting complicated and the customers need more help there should be the option – within the app, website or any other channel – to escalate the call seamlessly to a human agent. Sometimes, a chat is where the good experience happens – the emotional side of the conversation, the laughter, the detailed explanation. This human touch cannot be replaced by machines. Disgruntled customers are happier when an agent shows empathy. Front line staff and human agents act as the face of a company’s brand. Complete automation will not allow the individual to understand the culture of the company. These can be attained through conversations.
Humans as supervisors for AI – The New Workplace
Empathy, intuitiveness, and creativity are all human elements in the intelligence equation. Workers in the future will need to make their niche in a fluid and unpredictable environment; and translating data into action in a non-replicable way is one of the values of human input. The essence of engineering is the capacity to design around human limitations. This requires an understanding of how humans behave and what they want. We call that empathy. It is the difference between the engineer who designs a product, and the engineer who delivers a solution. We don’t teach our computer scientists and engineering students a formula for empathy. But we do try to teach them respect for both the people and the process.
For efficiency, we turn to automation of processes, such as RPA. This is designed to try to eradicate human error and assist us in doing our job better, faster and at a lower cost by automating routine processes. If we design it right, humans take the role of monitoring or supervisory controlling, rather than active participation.
At present, AI is not seen as a replacement for our ingenuity and knowledge, but as a support tool. The value in AI is in understanding and translating human preferences. Humans-in-the-loop AI system building puts humans in the decision loop. They also shift pressure away from building “perfect” algorithms. Having humans involved in the ethical norms of the decision allows the backstop of overly orchestrated algorithms.
That being said, the astute use of AI can deepen insights into what truly makes us human and can humanise experiences by setting a better tone and a more trusted engagement. Using things like sentiment analysis can de-escalate customer service encounters to regain customer loyalty.
The next transformational activity for renovating work is to advance interactions with customers by interpreting what they are asking for and humanising the experience of acquiring it which may include actually dealing with a human contact centre agent – decisions that are supported at the edge by automation, but at the core by a human being.
Ecosystm research shows that process automation will be a key priority for technology investments in 2021 (Figure 2).
With AI and automation, a priority in 2021, it will be important to keep these considerations in mind:
Making empathy and the human connection the core of customer experiences will bring success.
Rigorous, outcome-based testing will be required when process automation solutions are being evaluated. In areas where there are unsatisfactory results, human interactions cannot – and should not – be replaced.
It may be easy to achieve 90% automation for dealing with common, repetitive questions and processes. But there should always be room for human intervention in the event of an issue – and it should be immediate and not 24 hours later!
Employees can drive greater value by working alongside the chatbot, robot or machine.
Ecosystm Predicts: The Top 5 Customer Experience Trends for 2021
Download Ecosystm’s complimentary report detailing the top 5 customer experience trends for 2021 that your company should pay attention to along with tips on how to stay ahead of the curve.
Probe Group has been expanding its business presence since being acquired by Five V Capital in early 2018. At the time, Probe acquired Salmat’s Contact business, a broad-based CX operation which helped Probe expand their presence in Australia, New Zealand and the Philippines. Looking out for further opportunities, in December last year Probe Group acquired Australia-based and Philippines-focused Beepo and quickly followed this with an acquisition in January this year of the Philippines outsourcing agency MicroSourcing, a counterpart to Beepo which greatly expanded Probe’s Philippines offering. These acquisitions helped Probe extend their service offering from CX into Shared Services and Knowledge Services.
This is a brilliant move as Stellar is one of the most successful contact centre outsourcing providers in Australia. With successive growth for 22 years and having a strong footprint in both the public and private sectors, the acquisition will give Probe Group entry into some large accounts. Additionally, Probe will gain a large pool of well-trained agents in Australia and other locations across the globe.
The merger comes at an interesting time when we are seeing several organisations re-evaluate their outsourcing strategy. There is also an active interest in enhancing CX through AI/automation. Both the Probe Group and Stellar understand the Australian market and consumer sentiments and the merger is expected to drive better customer outcomes in the Australia market.
Prior to COVID-19, Probe Group employed 8,500 agents. With this acquisition, they will have 12,600 agents and an expected turnover of USD 420 million. That is not only impressive but will help Probe offer a variety of services including both onshore and offshore, to take on their rivals.
Rise of Onshore Activity will see New Shifts in CX Delivery Models
The COVID-19 pandemic has brought about several changes to the outsourcing sector. The disruption caused by services in many key offshore markets led to organisations re-evaluating their contact centre outsourcing strategy and some have started moving contact centre jobs back to Australia. Westpac is the latest organisation to announce that they are moving 1,000 jobs back to Australia. They have stated that while they expect productivity benefits over time, there is clearly a cost to adding 1,000 roles – likely an uplift of around $45 million per annum in its costs by the end of 2021.
The cost element is bound to creep in over time and contact centres will ask outsourcing providers to help drive costs down. Options would include moving some services offshore, while the critical remain onshore. Striking that balance to manage costs will be important and so will be the ability to offer various options for customers. Additionally, we can expect to see an increased demand for self-service technologies. Many organisations are in the midst of re-evaluating the use of AI and automation technologies not only as a way to drive great CX but as a way to also reduce costs (Figure 1).
Contact centres are starting to realise that to modernise their contact centre, the ability to lead with machine learning and AI technologies are critical. It will drive the deployment of natural language understanding (NLU) and conversational AI, sentiment analysis, transcription capabilities – and ultimately provide intelligence about the call even prior to the call being fielded. However, it is worth noting that whilst automation is on the rise, the role of the agent is not going away anytime soon and will grow in importance. We will see the rise of the “super-agent’’ and the agent’s role will evolve over time and AI/automation will generate rich insights to help aid the agent and the contact centre team to better predict customer behaviour and patterns.
The Next Generation of Outsourcing Providers must Drive Innovation for their Customers
Companies today are not outsourcing just to save labour costs. While cost remains an important angle, it will not often be the main driver for outsourcing in the future. The next generation of outsourcing providers will have to build rich solution capabilities, customer journey maps and help customers understand how to align all channels. This involves working with many different technology providers to build the right capabilities for their client organisations. Organisations are keen to modernise their contact centre operations to achieve excellence in CX. Outsourcing providers must have the capability to deliver that innovation.
Ecosystm research finds that 63% of organisations that outsource their contact centre functions are challenged with finding the right partner that can drive innovations (Figure 2).
Contact centre outsourcing providers have a role to play in some of the following areas:
The ability to adapt to change and take on risks together with the client
Ensuring that all forms of security and governance measures are in place. This includes considering factors such as data security, data handling, and security features enabled across devices, applications, and the network. This is especially true for Government and Financial services contracts. Additionally, with some organisations preferring the work from a home model, there are security issues that must be addressed for the scenario.
Helping the move from a traditional contact centre to a contact centre that delivers the highest levels of CX for its customers. Applying technologies such as AI and machine learning, NLU, biometrics, speech analytics, customer journey analytics and robotic process automation (RPA) will be key to modernisation.
Being able to build a business continuity plan (BCP) for their customers in the event of another crisis.
Probe Group started off as a business specialising in outsourcing services in the credit and collections segment. Their customers in 2016 ranged from organisations across Financial Services, Utilities, and Federal and State Government. At that time, Probe employed about 300 people and their turnover was about USD 25 million. They did not rest on their laurels and realised that organic growth combined with strategic acquisitions would give them a foothold across various geographies and add new capabilities to their portfolio. With the rise in onshore activity, they will now be in a strong position to offer their customers various services and models of engagement to help drive CX excellence. The acquisition of Stellar will help Probe Group propel to greater heights and we see a new CX outsourcing giant being born.
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The move comes as many businesses and governments are witnessing a spike in inbound contact centre volumes since the outbreak of the pandemic. The telecom company aims to help the contact centre industry through its on-demand contact centre suite of solutions that can be scaled up or down according to the organisations’ requirements. It can be combined with existing CRM platforms in a single dashboard for better access to data and resolution support.
Vodafone Connect is built on the AWS Connect cloud contact centre solution and uses data analytics and machine learning tools to automate customer interactions across multiple channels – email, messaging and social media – to support the contact centre agents with real-time information.
COVID-19 has accelerated the move to the cloud
The recent pandemic has seen many organisations make a leap almost overnight to cloud contact centre technologies. Many organisations that previously had concerns around data privacy, and securing customer data – and were thus hesitant about deploying cloud contact centre solutions – have moved to the cloud model. The cloud model helped get agents that were forced to work from home up and running in a short duration. The immediate urgency was primarily due to a massive spike in voice calls and non-voice activity such as emails. During the COVID-19 crisis, many organisations used Virtual Private Network (VPN) connections to their legacy on-premises phone system to enable the remote agents. However, there have been challenges reported by many organisations with that approach such as increases to IT budget, difficulty in scaling easily, and the requirement for more IT support that could have been avoided.
Ecosystm research finds that only 30% of organisations have fully migrated their cloud contact centre solutions on the cloud.
This indicates a market opportunity for vendors in the cloud contact centre space. The COVID-19 pandemic has definitely triggered a strong move towards the cloud model. It has become imperative for vendors and solutions providers to strengthen their cloud capabilities.
Driving an Omni-Channel Experience has become increasingly difficult
Ecosystm research also finds that organisations find siloed organisational data as one of the biggest challenges in driving consistent customer experience.
This has been further exacerbated by the high volume of interactions that organisations have been having with their customers, and the need to accommodate work-from-home policies for their customer care agents. At the same time, nearly 60% of organisations want to drive an omni-channel experience to improve CX. This provides a huge opportunity for contact centre vendors and partners to offer consulting services to help organisations bridge the gaps in achieving an omni-channel experience. For many organisations there has been a greater push to integrate CRM, the voice of the customer/surveys, customer journey analytics to the contact centre technologies and this is not an easy task as it involves different stakeholders with different sets of KPIs. Having a single platform that can manage this omni-channel experience will be a huge benefit for many organisations.
New Players in the Competitive Landscape
AWS is a relatively new player in the contact centre market, but it is starting to disrupt the existing players, with a global installed base. However, it is worth noting that Avaya, Cisco and Genesys have a higher installed base and they continue to win new deals. The move to the cloud is witnessing more service providers, telecom providers and other contact centre partners push more cloud-based solutions in the market. Apart from AWS, other important players include NICEinContact, 8×8, Talkdesk, Twillio, Five9, and UJet. The competitive battleground is heating up and there are a lot of options for customers to choose from. It will all come down to working with a vendor that can help them achieve their desired CX outcomes.
There are other important elements in CX that are growing in importance and these include conversational AI, voice biometrics, knowledge management systems, machine learning and CX management solutions. Contact centre solution providers are having discussions around these areas with tech buyers. This will mean that we can expect deeper partnerships and acquisitions in the short to medium term. Security has also emerged as an important issue to be resolved, especially with agents working from home. This is from a compliance perspective and pertaining to how agents are viewing and handling customer data. These new trends indicate that customers will need to work with different vendors to solve the variety of issues they are facing.
The Vodafone Connect solution on AWS Connect is one of the many examples of how more partners of contact centre solutions are gearing up for the rapid move to the cloud. Globally, Vodafone also sells contact centre solutions from Cisco and Genesys. The next 3 years will see a great movement in the market and this will include vendors from North America that will set up operations to push their offerings across Europe and the Asia Pacific.
Click below to access insights from the Ecosystm Contact Centre Study on visibility into organisations’ priorities when running a Contact Centre (both in-house and outsourced models) and the technologies implemented and being evaluated
While the private sector is often quicker in their adoption of digital technologies for better customer experience (CX), the adoption in the public sector can be challenging due to various concerns such as legacy systems, privacy, national security, inter-departmental dependency and more. Ecosystm Principal Advisor, Audrey William says, “Most cloud contact centre solution providers today have the highest level of security wraps and certifications including country-level certifications. However, verticals such as Government, have remained concerned about security. This has not allowed them to innovate as fast as some of the other sectors on leveraging some of the best-in-class customer experience technologies.”
In the US, MAXIMUS, a government services provider company and Genesys recently announced a partnership to set up the MAXIMUS Genesys Engagement Platform, an integrated, cloud-based omnichannel contact centre solution. This was driven by the government requirement for public sector organisations to provide seamless customer experiences similar to those offered in the private sector. The platform is certified by the Federal Risk and Authorization Management Program (FedRAMP). FedRAMP promotes the adoption of secure cloud services across the US Federal Government, in partnership with federal agencies, cloud service providers and 3rd party assessment organisations and provides the standards for security and risk assessment.
This is in line with what we see in the Ecosystm data. Government agencies that use contact centres are increasingly evaluating cloud options, with 17% saying that they operate fully on the cloud (Figure 2). While this may be difficult for all public sector organisations, with mandates around data location and security, a majority are partially on the cloud.
There are several benefits to using the cloud model including the ability to make changes and scale up/down without much customisation or professional services (which can come in handy for a quick re-alignment of the workforce) and manage seasonal spikes. Additionally, cloud solutions allow almost instantaneous access to new features and easy testing of proofs of concept. Public sector organisations are fast realising the value of cloud contact centres.
William sees the FedRAMP certification having immense potential. “FedRamp provides a secured environment for any service that is rolled out as this involves multiple levels of security. Citizens expect a more personalised service through chat, Twitter, mobile, social messaging channels like WhatsApp and many more. However, they also want to feel safe when providing personal information and want to know that the platform that holds their data is secure. When they know that security is at the highest level, they will be more open to providing personal data.”
Managing an Omnichannel Experience
Over half of public sector organisations in the Ecosystm CX study mentioned that they are driving an omnichannel experience for their customers. This has become especially relevant today, as organisations have the need to reduce the call volumes for their contact centres – through non-voice services and customer self-service. The MAXIMUS Genesys Engagement Platform will leverage Genesys Engage, which provides integrated features and functionalities across multiple channels through a single voice and digital user interface. Solutions such as these provide the ability to integrate calls, emails, chats, messages and social comments into one connected platform.
William says, “The cloud platform can help with the highest level of efficiency, scale and speed by integrating multiple channels on a single platform, for more connected customer experience. Government departments will look to leverage capabilities such as Conversational AI, in-app mobile messaging, SMS, email and voice calls within a multi secure environment. Citizens have high expectations from government departments – they expect fast, reliable and efficient service and automation. It would be difficult for governments to provide that level of service without leveraging cloud contact centre technology. That is the only way to move away from inefficient traditional architectures.”
Speaking about the adoption of cloud contact centres in the Asia Pacific region, William says, “Despite initiatives like Australia’s Digital Transformation Agency, the adoption has been relatively low in the public sector. But that has been changing fast with the COVID-19 situation forcing some government departments to move almost immediately to the cloud allowing easier changes to call workflows and other dynamic services that may have to be addressed on a daily basis.”
For more insights on Ecosystm’s ongoing research on business and technology priorities in Contact Centres
5/5 (1) In 2018, DBS Bank came together with AI start-up impress.ai to implement Jim – Job Intelligence Maestro – a chatbot that helps the bank shortlist candidates for positions in their wealth planning team. This is primarily for screening for entry-level positions. Apart from process efficiency, the introduction of AI in the recruitment process is also aimed at eliminating bias and objectively finding the right candidate for the right job. The DBS chatbot uses cognitive and personality tests to assess candidates, as well as providing them with answers to the candidates’ frequently asked questions. The scores are then passed on to actual recruiters who continue with the rest of the recruitment process. DBS claims that they have curtailed the initial assessment time of each applicant by an average of 22 minutes.
While some organisations have started evaluating the use of AI in their HR function, it has not reached a mass-market yet. In the global Ecosystm AI study, we find that nearly 88% of global organisations do not involve HR in their AI projects. However, the use cases of AI in HR are many and the function should be an active stakeholder in AI investments in customer-focused industries.
Telstra employs AI to vet Applicants
Last month, Australia’s biggest telecommunications provider Telstra announced its plans to hire 1,000 temporary contact centre staff in Australia to meet the surge in demand amidst the global pandemic. In response to the openings, Telstra received overwhelming 19,000 applications to go through and filter, with limited workforce. To make the recruitment process more efficient, the company has been using AI to filter the applications – and has been able to make initial offers two weeks from the screening. The AI software takes the candidates’ inputs and processes them to find the right match for the required skills. The candidates are also presented with cognitive games to measure their assessment scores.
Ecosystm Principal Advisor, Audrey William speaks about the pressure on companies such as Telstra to hire faster for their contact centres. “Several organisations are needing to replace agents in their offshore locations and hire agents onshore. Since this is crucial to the customer experience they deliver, speed is of essence.” However, William warns that the job does not stop with recruiting the right number of agents. “HR teams will need to follow through with a number of processes including setting up home-based employees, training them adequately for the high volume of voice and non-voice interactions and compliance and so on.”
The Future of AI in HR
William sees more companies adopting AI in their HR practices in the Workplace of the Future – and the role of AI will not be restricted to recruitment alone. “A satisfied employee will go the extra mile to deliver better customer experience and it is important to keep evaluating how satisfied your employees are. AI-driven sentiment analysis will replace employee surveys which can be subjective in nature. This will include assessing the spoken words and the emotions of an individual which cannot be captured in a survey.”
In the future, William sees an intelligent conversational AI platform as an HR feedback and engagement platform for staff to engage on what they would like to see, what they are unhappy about, their workplace issues, what they consider their successes and so on. This will be actionable intelligence for HR teams. “But for a conversational AI platform to work well and to encourage users within the organisation to use it, it must be designed well. While it has to be engaging to ensure employee uptake, the design does not stop at user experience. It must include a careful evaluation of the various data sets that should be assessed and how the AI can get easy access to that data.”
AI and Ethics
With the increased use of AI, the elephant in the room is always ethical considerations. While the future may see HR practices using conversational AI platforms, how ethical is it to evaluate your employees constantly and what will be the impact on them? How will the organisation use that data? Will it end up giving employers the right reasons to reduce manpower at will? These and allied issues are areas where stricter government mandates are required.
Going back to AI-assisted recruitment, William warns, “Bias must be assessed from all angles – race, education, gender, voice, accents. Whilst many platforms claim that their solution removes bias, the most important part of getting this right is to make sure that the input data is right from the start. The outcomes desired from the process must be tested – and tested in many different ways – before the organisation can start using AI to eliminate bias. There is also the added angle of the ethical use of the data.”