Tackle Agent Attrition in Debt Collection Agencies Using Voice AI

For debt collection agencies, debt recovery is a labor-intensive effort that typically relies more on human effort than capital investments. Even with the adoption of newer digital communication tools that promise to scale manual efforts, the ARM industry invariably struggles with one major issue — human resource turnover.

Across all industries, average attrition rates in contact centers vary between 30 to 40%.

It’s hard to know the exact attrition rate in the ARM industry. Agencies reported a monthly quit rate of 2.9% in 2021. Before the pandemic, in 2016, large collection agencies reported experiencing an average turnover rate of 75% to 100%, according to the Consumer Financial Protection Bureau.

The high attrition that characterizes the collections space makes third-party debt collection agencies vulnerable to several challenges, like loss of domain expertise, risk of non-compliance, lawsuits, and increased cost of hiring and training new talent. In the United States, with nearly one in four citizens having at least one debt in collections, recovery has become an increasingly costly endeavor.

Most Common Reasons for Collection Agent Attrition in the Debt Collection Industry 

Here are some of the most common challenges that make it so difficult for agencies to retain collectors:

  • Too Many Accounts, Too Much Work: Given the growing debt delinquency in the U.S., one can only imagine the amount of verification and debt-related communication work that can drive collectors to overwork.
  • Collectors’ Commission is Dependent on Recovery: Third-party debt collection agencies are involved when credit card issuers or creditors’ collection representatives cannot recover overdue balances. Collection agencies face thinning profit margins, and human agents’ commissions for debt recovery further burn holes in their pockets. There is no set rule or guarantee on the time the human agents need to recover outstanding loans successfully.
  • The Great Resignation: While all contact centers face high attrition rates, many people have been rethinking their careers and seeking opportunities in new fields over the last two years. This also applies to the ARM industry, where collection agents face acute stress from chasing after customers over the phone while adhering to a wide array of regulations, making attrition an even bigger challenge.
  • Empty Promises to Pay: It is common to find consumers dodging debt-related interactions. When confronted directly, they are likely to make promises to pay that may only sometimes be honored, which is another detractor for collectors to stick to their roles.
  • Debt Shame: Debt collection calls are direct and can sometimes make the debtors uncomfortable delving into the details of their unpaid loans. According to a study by Webio, people can be much more honest when communicating via text messages than in voice interactions for difficult scenarios. In the case of debt collections, textual conversations can reduce stress for both debtor and collector.
  • Efforts Often Don’t Justify Conversion Rates: When it comes to debt, the devil is in the details. To invest too much attention and time in each customer who needs a detailed overview of their loans and debts is unrealistic. It is extremely costly and leads to operational overkill, another reason for collectors’ resignation.
  • Debt Collection is Not for Everyone: Employee turnover in any field results from the nature of the job/employer and the employee’s capabilities. Working conditions, perks, quality of work, and benefits will fix the collector’s morale. But employees’ capabilities for the job determine how much they are willing to stick to it. 
  • Rapid Changes in Regulatory Framework: Many regulatory agencies like FTC and rules like Fair Debt Collection Practices Act dictate how collection agencies can approach consumers without violating consumer protection laws. It requires constant staff training and procedural approaches like obtaining debt verification requests, debt validation, forbearance, and foreclosures that rely on unique expertise. When agencies adopt a manual route or use restrictive debtor communication methods, errors and inaccuracies are expected.

 The Rising Role of Voice AI in the Debt Collections Industry

These challenges highlight the urgency for digital transformation in collection agencies; in particular, agencies are looking at automation as the primary solution to their attrition crisis.

In our previous articles, we discussed the unique capabilities of Voice AI technology in reducing contact center agent labor costs via call automation. Concurrently, Gartner’s estimates from their survey also suggest that labor expenses represent 95% of contact center costs, and adopting Conversational AI helps cut expenses by $80 billion. The customer-facing side of ARM, particularly the debt collection agencies, can capitalize on this trend to reduce staff shortages, curb labor expenses and make human resources more efficient and effective. 

Skit.ai’s Voice AI platform is at the forefront of transforming the ARM industry with its Digital Voice Agents and augmenting collection agencies’ workforce to focus on resolving complex use cases. 

Voice AI’s value-adds are in areas that impact collectors’ productivity and bandwidth which further determine talent retention in this space. Here’s the rundown of its merits that help address agent attrition challenge in the debt collections industry:

  1. End-to-end Call Automation: Voice AI helps automate 70% of calls (inbound and outbound), allowing prompt query resolution. Also, agencies can leverage automation to identify consumers, policy numbers, and other debt-related information. This reduces the effort and time it would take to call and follow up with each debtor manually. 
  2. Reduce High Cost of Collection by 1/5th: Digital Voice Agents that plug into contact centers and take over calls by holding human-like conversations can execute calls at less than 1/5th of the actual cost of manual calls. Collection agencies can lower operation costs with intelligent voice agents in lieu of collectors by concurrently calling over thousands of defaulters.
  3. High Scalability: Agencies can scale their debt collection efforts and consumer outreach by leveraging call automation and Digital Voice Agents that can handle and answer tier-1 caller queries by automating up to 70% of calls, reducing dependency on human agents. 
  4. Higher Portfolio Coverage Intensity: Collectors can cover many more debt files when they leverage Voice AI’s ability to handle multiple calls simultaneously. With minimal effort, cost and time, agencies expand their scale of reach of debt collection practices with minimal human intervention.
  5. Strict Adherence to Compliance: Fear of lawsuits or going off track by the debt collectors will be alleviated by the Voice AI platform, which is purpose-built and specific to the domain and use case. Digital Voice Agents can be tailored to hold and attend calls as per the laws governing consumers’ preference for call frequency, tone, language, and time to receive debt collection calls.
  6. Solve Diverse Use Cases: The recovery process in the collection agencies involves rigorous reviews, checking outstanding balances, sending demand and acknowledgment letters, and arranging for telephone contact. It is humanly impossible to keep track of all details, numbers, and sensitive information about different types of debt and cases at their fingertips. Digital Voice Agents can be optimized to address various debt-related queries and use cases without time, cost, and human effort constraints, reducing work stress and dissatisfaction for debt collectors. 
  7. Enhance Human Agent Productivity: Debt collectors can experience higher and faster conversion levels by leveraging Voice AI’s analytics and caller data insights. The pre-call verification, call automation (inbound and outbound), and routing features enable real-time agent augmentation, boosting productivity and performance. Also, the Digital Voice Agents are capable of intelligent call transfers to human agents only for complex cases, allowing the human workforce to focus on efforts that help retrieve debts faster. 
  8. Voice AI Calls are Free of Human Biases: Holding debt recovery conversations is a sticky collection practice that most consumers tend to avoid out of pressure, discomfort, shame, and fear of judgment. Voice AI’s call automation capability eliminates direct voice interaction between defaulters and collection agents, making collection calls free of human biases. Also, Digital Voice Agents can hold persuasive, contextually accurate, and proactive conversations and keep interactions direct and objective. This way, collection agents can experience higher work quality without job stress, dissatisfaction, and the chances of misdemeanors while talking to consumers. 

Collection agencies rely entirely on outstanding loan payments to survive. Voice AI helps collection agencies strike a balance between meeting their recovery targets and making debt collection efforts more intuitive in a way that doesn’t come at the cost of operational burnouts and resignations. Voice AI eliminates bottlenecks in debt recovery and improves the overall customer experience.

To learn more about how Voice AI can help you solve attrition challenges, schedule a call with one of our experts or use the chat tool below.

How a Hotel Bookings Platform Transformed Customer Support with Voice AI

Vaccine equity reopened the global tourism gates in 2021, reigniting the wanderlust of travelers, many of whom were keen on holidaying internationally.

Picture this; customer support of leading travel bookings and tourism companies began clocking over thousands of pre-booking queries and inbound calls. In addition to the chats, emails, and other contact touchpoints. The two possible ways to rise to the occasion—scale up contact center support or explore ‘novel automation areas’ beyond the scope of IVRs and Chatbots to help agents answer customers’ questions.

Travelers in the digital age prefer pre-booking research and planning over spontaneity. Even more so, customers simply desire to talk to voice support on the other side of the line, a study confirms.

While IVRs and Chatbots are excellent for very simplistic FAQs, tickets, and status handling, they need to catch up in meeting the expectations of potential travelers with generic discovery queries that can only be addressed effectively via voice conversations with contact center agents. 

However, managing the entire inbound query process over calls is an overpromise that most contact centers can only live up to by draining their agent resources, time, and cost.

From the potential customer’s standpoint, booking during peak seasons, poor agent bandwidth, and long waits at the IVR loop can be frustrating. This ultimately leads to under-delivery of the promise of consistent and quality customer experience (CX), causing poor conversion and mid-call abandonment.

How AI-powered Contact Center Automation is Ideal for Travel Companies

Travel and tourism brands must factor in CX while offering a seamless flow of information on airfares, accommodations, destinations, booking and refund policies, travel safety, and guidelines over inbound voice calls. AI-powered voice automation helps intercept repetitive queries, taking away the lion’s share of the burden from the agents. This way, it augments contact center support teams to meticulously manage time and resources for solving complex customer queries while staying on top of their SLAs. Additionally, travel booking companies can leverage automation to offer more information over voice calls in their inbound support. 

Voice AI, built on powerful AI and Spoken Language Understanding (SLU) algorithms, can guarantee this two-fold benefit for travel and tourism platforms looking to unlock new automation angles in inbound customer support for an impactful CX. In this blog, we will explore the journey of Southeast Asia’s leading hotel bookings and management platform with Voice AI for transforming their inbound CX through seamless voice conversations. 

Explore how Voice AI Empowers Contact Center Agents 

Automating Inbound Customer Support Call with Voice AI 

Before adopting Voice AI, the hotel bookings company had an IVR system that was able to confirm only those customers with booking IDs before connecting them to the agents. The bots could not handle customers looking to fetch pre-booking and pricing details. Due to poor agent bandwidth, the company’s customer support hit its lowest point whenever the call volumes peaked, recording below-par FCR, call containment, and call abandonment rates.

After evaluating market-leading platforms, the travel bookings company chose Voice AI and predefined objectives to empower its customer support team to work across customer intents previously handled by bots. The platform’s powerful AI capabilities helped dive deeper and crystalize goals such as:

  • Automating inbound customer calls with simpler intents, like inquiries about booking status, to improve call containment rates.
  • Implement a solution that will allow the team to handle seasonal surges without hiring more agents.
  • Give customers a seamless experience that would reduce wait times and the likelihood of call abandonment.
  • Handle more query types, even involving customers without an active booking ID.

Discover How Voice AI Transforms Contact Center Automation

Reaching Customers Faster at Less Cost and Agent Workload 

The transformation began with inbound query areas like reservation status inquiries, booking cancellation and modification information, account information, and policies. After Voice AI deployment, the travel bookings company also identified critical areas that can be managed by their bots; new booking, refund status, pricing inquiry, and location details. This made their bots proactive and prescriptive and seamlessly scaled up the query volumes within two weeks of going live!

In the second phase of implementing Voice AI, the call containment rates gradually increased by 75%, opening new avenues in customer self-service. This meant more inbound callers could get their answers faster without impacting the agent productivity and call center costs!

Voice Automation helped the company to save nearly $200,000 on the annual staffing and recruitment budget. They improved HR efficiency and adopted more competent staffing without the additional costs of recruiting agents just for managing calls during peak seasons for the following year. 

Role of Voice AI for Insurance: Streamline Inbound Support

Voice-led Customer Support for Seamless Elasticity and Higher CX

Delivering elastic customer support is another driver for CX for digital brands and businesses. In the travel and tourism industry, especially during peak seasons when the customers are in the pre-booking phase, the bookings platforms and contact centers must be agile to keep up with their changing preferences and low attention spans. Elastic customer support means the platforms and their contact centers are scalable, and the customers do not face poor user experience from frozen applications or busy contact center lines.

To capitalize on the pre-booking queries that are not tied to booking IDs, the hotel bookings firm uncovered new automation angles within customer service and expanded customer support areas with Voice AI. This gave them the agility and flexibility to resolve over a hundred calls, of which the bots handled the majority. In turn, this increased agent productivity, allowing them to focus on answering questions over calls and improving customer loyalty and retention at the pre-booking stage. Local languages integration to the IVR was the additional enhancement using Voice AI that drove the platform’s net promoter score (NPS) up by 71% and reduced call abandonment rates by 54%. 

Our Takeaway:

In today’s pure-play tech world, automating inbound customer support is vital for the judicious disbursement of pre-sales/booking activities. As customer expectations increase, the opportunities for automation are endless. However, travel and tourism firms must create a realistic roadmap and flow route on their platforms for better customer experience and engagement across the entire booking value chain. With AI at work, brands can unleash automation in the right places to drive ‘conversion through conversations’ even with a lean team.

Voice Intelligent platforms, like Voice AI, help join forces critical to customer support, allowing an absolute human and machine partnership.

Are you interested in contact center automation to chart unique customer experiences with our Digital Voice Agent? Use the chat tool to schedule a call with one of our experts.

Phone Call for Debt Collection Still Works: Call Automation with Voice AI Reinstates its Value

Newer forms of communication, like email and instant chat tools, have replaced more traditional tools. The same phenomenon may seem to occur in the ARM space, with collection agencies and customers now interacting via email, text messages, chat, and IVR systems. But while each tool has its specific value, phone calls for debt collection and reminders are hardly dying! 

Why Phone Calls Are Better for Contacting Debtors

In the U.S., about 28% of consumers have at least one debt in collection. Debt delinquency has grown dramatically during the COVID-19 pandemic, and collection agencies are tasked to chase after thousands of loan defaulters and slow-paying customers. Imagine persistently following up with debtors with back-and-forth emails to detail debt information that mostly goes unread or ignored at every stage! Or think of sending a combination of payment reminders via messaging systems that are usually one-sided and restrictive in terms of options to answer debt-related queries. Digital interaction methods unquestionably have their merits, and challenging them sounds flaky. But there are aspects to the good-old phone call which make it the best bet for high-performing collection campaigns:

1. It takes longer to text or type than to speak, and speech-based dictation is faster with speech recognition systems on mobile devices. 

2. Phone calls are great for establishing an immediate connection within seconds of calling.

3. Voice calls are direct, personal, and confidential.

4. Phone calls allow for effective two-way communication. They are suitable for active listening, asking questions, troubleshooting, clarifying and sharing relevant debt-related information, and even reaching an agreement.

5. A phone call is an active way of engaging with debtors, unlike text messages, emails, or notices which are passive at best.

Manually Calling Each Debtor is Impractical

Typically, debt collection follows through a sequential flow of interactions across different modalities. Voice calls are not the first step of debtor contact. Collectors must tread carefully with a list of ‘avoidant’ defaulters to emphasize the immediacy of calls and prompt a favorable response without annoying them. Without digital tracking and real-time dashboards for delinquent lists, keeping a tab of debt statuses is challenging. This makes phone calls somewhat of a hit-and-miss method.  

As for the debt collection agencies, even after scaling their collection teams, it becomes difficult to maintain speed, cost, and quality consistencies and also achieve conversion goals with just phone calls. Manual phone calls are expensive and exhausting. Here’s what a daily debt collection humdrum looks like:

  • A large part of the collector’s JD is a relentless pursuit of debtors over manual calls.
  • A significant chunk of time is lost in pre-call verification, cross-referencing the debt and debtor details, and segregating overdue accounts and their statuses. 
  • The collectors must be fully prepared for challenges like wrong numbers, customers dodging their calls, or disagreeing with the debt details.
  • Time and task management just to comb through debtor contacts separate the ones with call back and ‘never call again’ requests.

How Call Automation with Voice AI Amplifies Your Agency’s Debt Collection Efforts

To address the scalability and cost factors involved in manual debt collection calls, some firms choose an automated route that can be restrictive and risk missing out on the core purpose—debtors’ promise for payment. Automated debt collection systems with complex IVRs menus or robotic voices communicating debt information are generally an instant turn-off for customers. Therefore, the need of the hour is a combination of automation and human-like intervention to manage very high-volume debt collection calls while also empathetically reminding and aligning debtors to debt-related conversations.  

Voice AI technology helps elevate the significance of phone calls as an effective debt recovery tool. Skit.ai’s purpose-built and domain-specific Voice AI platform helps debt collection agencies to adopt meaningful approaches to customer interactions over phone calls with strikingly accurate and intelligent multi-turn conversations. 

Dive deeper: How Call Automation Impacts Debt Collections

The intelligent Digital Voice Agents are modeled on human interactions and plug into contact centers to automate responses for repetitive, zero-value queries. These voice agents can hold human-like conversations and resolve tier-1 caller/customer queries without needing any intervention by a human agent. Only complex customer/caller queries that the Digital Voice Agents cannot handle are transferred to human agents. Augmented Voice Intelligence focuses on expanding the collection agencies’ workforce by combining the power of human voice and machines. 

Buyer’s Guide: Digital Voice Agent for Debt Collections

Voice AI works with the adage that voice interactions are the most natural communication forms. With the platform built, designed, and optimized for voice interactions, collection agencies can realize the full potential of their debt recovery initiatives by automating calls and augmenting the workforce to involve only in complex scenarios that need detailed articulation and communication parameters that go beyond basic texts, emails or automated responses. 

13 Ways Voice AI Elevates the Role of Phone Calls for Debt Collection 

  1. Call Automation: Debt collection agencies can reduce manual efforts by automating up to 70 percent of calls with Voice AI.
  2. Cost Savings: With Digital Voice Agents taking over the calls instead of human agents, collection agencies can achieve cost savings of up to 50 percent on their debtor outreach.
  3. Personalized Debt Collection Calls: Auto-dialers with pre-recorded messages are great for mass calls but lack personalization. Voice AI adds value here as it can tailor to the use case. Human-like conversations with Digital Voice Agents make the debt recovery calls more personal. Also, with multi-language support, it makes it easier for call customization. 
  4. Foster a Dialog with Debtors: Built ground up for voice interaction, the Voice AI platform makes debt collection interaction conversational and two-way, unlike IVRs, chatbots, and automated messages. This helps steer clear of confusion and assumptions by allowing agents to listen to the debtors’ complaints or situations and clarify when necessary. 
  5. Always-on, 24/7 Support: Digital Voice Agents function independently of human agents to make debt collection voice calls without being impacted by time-zone differences.  
  6. Live Interaction and Support:  Voice agents answer or call debtors to interact and provide real-time support. This is better than pre-recorded IVR messages or time-consuming conversations with a debt collector.  
  7. Intelligent Collab between Collectors and Collection Systems: Augmented Voice Intelligence allows for collaborative intelligence between humans and machines by transferring only complex queries to human agents. 
  8. Enhance Collectors’ Productivity: Voice AI platform analytics dashboard and caller history, along with automated features for call routing and authentication, impact collectors’ productivity, making them more proactive.
  9. High Scalability: Agencies can ramp up collection outreach and handle peak call volumes without increasing the size of human-agent teams by leveraging call automation. 
  10. Reduce Average Handling Time: The prompt responses and high engagement via the Voice AI platform reduce hold time and the chances of customers abandoning the calls. Collection agencies can leverage this platform to reduce the average call handling time by 40 percent. 
  11. Right-Party Contact: Often, debt collectors can dial the wrong numbers or reach the wrong party while making the debt collection calls. Voice AI’s unique value proposition is the accuracy that helps collectors land the right contact.
  12. Better Call and Caller Insights: Debt collectors can improve their performance and call quality by tracking relevant metrics for debt collections, such as payment propensity rates, the success of their debt collection campaigns, and targeting risky accounts with real-time insights with the Voice AI platform. 
  13. Better Compliance: When the debt collection calls are manually driven, it is tricky to check every item on the to-do list. The scope for human errors and unruly behaviors is high when the calls are handled by the human team. Voice AI platform can be tailored according to the various stages in the debt recovery process and ensures every adheres to compliance best practices.

How TCPA Impacts Voice AI in the Collections Industry?

Our Two Cents:

In reality, it is tricky to remind people to repay their debts. In the current stage of piling deliquescent debts in the U.S. adoption of Voice AI is necessary to create strategies that convert potential conflicts and confusions into meaningful conversations on outstanding loans and payments.

Voice AI will continue making a strong impact in the debt collection industry by transforming a simple phone call into a prolific tool to manage debt-recovery cases without going overboard with time, cost, and human effort.

To learn more about how call automation with Voice AI can transform your debt collection agency, schedule a call with one of our experts or use the chat tool below.

Rethinking Self-service in the Age of Voice AI 

What’s common among interactive voice response (IVR) systems, ATMs, knowledge base, mobile applications, virtual assistants or chatbots? They are all self-service options that can help dispense answers and resolve queries at lightning speed! Self-service or self-help tools and options make for an empowered customer support team and a loyal customer base. 

Self-service equals simplified customer journeys! 

In a mobile-driven digital economy, a brand’s relevance and value is measured in terms of the speed, convenience and the level of autonomy offered to their customers. Digital self-service is the central objective of today’s automated customer support, but tailored for better CX and performance. Since the COVID-19 pandemic, the usage of digitized self-service by customers across demographics accelerated with sudden digital transformation (DX). With newer entrants into the market— more digital native brands, always-on, smartphone users and Gen Z customers, numerous possibilities await businesses using digital self-service in their customer support. As per the recent OnePoll study involving over 10,000 respondents from 11 countries to explore humanity’s shifting relationship with digital tech and experiences:

  • Nearly 58% percent of participants said they will continue their digital brand interactions more than their pre-pandemic levels. 
  • Most study respondents felt that the digital experience was fast and convenient, making it better or on par with the real-world, face-to-face customer service interactions. 
  • Almost 66% reportedly had a ‘good’ or ‘excellent’ experience using online customer service options. 

Diving a little deeper, the research summed up the exact reasons for positive reactions:

  • Instant issue/query resolution (48%).
  • Convenience (46%).
  • Speed (45%).

These findings form the crux of self-service. In this blog we will begin our exploration on why self-service tools are truly adept in capturing customers’ interest, and meeting productivity and performance goals of brands’ customer support. 

Psychology behind Self-service

Self-service is not the same as automation. Sure, digital self-service gives automated responses to repetitive queries in blazing speed. It is not only about allowing customers to resolve things on their own but also empowering them to address them faster. The overall value of the self-service strategy is measured in terms of its impact on CX. The faster, more convenient and more cutting-edge the self-service options, the better would be the CX scores. Moreover, the intuitiveness and simplicity of self-service helps reduce customer effort while solving problems on their own. This lowers the customer effort score (CES), another key metric for frictionless CX!

An intuitive, anytime self-service strategy across the platforms or channels also helps evade a laundry list of options for customer service-related interactions and unnecessary contact with human agents.  This is integral for curbing additional contact center operations costs and allocating resources and human efforts in areas that build proactive and customer-centric impressions.  No wonder, in the U.S. 88% of customers prefer self-service for dealing with their everyday problems. The number is equal to the global average of customers that expect brands and businesses to include a self-service support portal. 

The Most Common Types of Self-service Options

Now, let’s have a look at this run-down of the widely adopted self-service support options.

  1. Knowledge Base and FAQs: Internet-savvy customers leverage business/brands’ digital presence to find their way from the search engine platform to access information in a variety of forms (videos, landing pages, texts, infographics, illustrations, audiobooks, guides, and icons) for problem-solving.   Dedicated FAQ pages that are brief and true-to-context is another form of self-service option that guides customers through specific customer service-related scenarios on the company’s website. 
  1. Integrated Contact Centers: Customer data is created across multiple channels. Integrated contact centers bind sales, contact center agents or other representatives with unified data sharing, collaboration and improved access to customer data across customer journeys and omni-channels for customer service. The intention is to boost CX and reduce the need to repeat information as customers navigate different customer service departments to solve issues on their own. 
  1.  Interactive Voice Response (IVR) Systems: IVRs have existed for more than five decades. They are customer-facing phone systems that offer (inbound and outbound) support with pre-recorded messages and self-service menu responses to customers’ text inputs. They are cost-effective, scalable, and automated alternatives to human agents. 

Move Beyond IVRs: Transform CX with Digital Voice Agents 

  1. Chatbots: Chatbots use text-based or voice interfaces that are integrated to websites or mobile apps’ chat/message window  to interact with customers. They are AI-driven and created based on the planned interaction flow chart to respond to customers in a matter of seconds. 
  1. Mobile Applications: Mobile apps with intuitive and interactive UX and UI give information to customers via dashboards, push notifications and updates in their moments of need, on their mobile devices. 

Voice AI: A Quantum Leap in Self-service 

The common forms of self-service options are the building blocks of the new age customer support. But there’s always the expectation for solutions that drive up the cost savings and operational efficiency while also helping brands’ contact centers meet their CX objectives. Imagine, if brands were able to achieve that while also offering self-service support that was voice-led, personalized, empathetic and proactively responds in real-time! For today’s automation and customer-first era, Skit.ai’s purpose-built Voice AI platform redefines self-service for optimizing customer support not only for better CX but for enhanced employee and business experience. 

Built to enable conversations that are modeled on human interactions for prompt query resolution and personalized caller experiences, Voice AI is a next level of innovation in self-service. It delivers the best of voice experiences for brands through their contact centers that go beyond the capabilities of generic voice bots. 

Voice AI is built to be domain-specific unlike generic voice-first platforms by Amazon and Google. The  spoken language understanding (SLU) layer of Voice AI helps capture short, conversational utterances and is capable of deciphering semantic details that helps identify the right intent.  

Why Every Company Must Have a Voice: Read Now 

How Voice AI Lays the Framework for Self-service 

Voice conversations are the most natural forms of human communication and still remain one of the most sought after brand-customer interactions. Live voice conversations are critical to delivering high-quality customer experience. Customers interacting with self service options such as IVRS and messaging chatbots think before inputting a text command and hit send. Voice AI is a technology built to understand the intricacies of spoken language and not limited to text. It can quickly grasp customers’ voice interactions and filter through pauses and repetitions.

The  Digital Voice Agents plug into the contact centers for automating cognitively routine work and independently resolving tier 1 customer problems. This would aid the human workforce to focus on more complex customer queries and contact centers to adopt intelligent human-machine collaboration. This way customers can stay in control and brands also get to pick the best self-service strategy for delightful CX. 

Now, let’s dig into various features of Voice AI that makes it a better alternative to conventional self-service support:

  • Natural human-like Interaction: Digital voice agents that can mimic human-like conversations and comprehend interactions at a semantic level. It doesn’t feel like interacting with IVRs. It feels like holding conversations with the brands’ contact center agent.
  • Problem Recognition: Customers navigating through the self-service option can feel like they are lost in translation because of the complex IVR loops, limited menus or options that do not cater to their requirements. Sometimes chatbots are built with an ASR layer on top of NLP. They are great for transcriptions, not conversations. They deliver the same experience as going through a rigid IVR system. Digital Voice Agents can understand the right sentiment and nuances of human conversations, allowing the customer support to accurately identify and solve customers’ problems.
  • Always-on, Human Agent-free experience: One of the core value propositions of implementing a digital voice agent is its ability to function 24/7 for the ‘always-on’ customers without the dependency on human agents. This translates to cost savings by automating high-volume, zero-value and repetitive customer queries.
  • Quick Resolution: Self-service platforms optimized by powerful AI-capabilities and strong data sets based on customers data can be used for competitive advantage. It allows fast resolution, impacting customer satisfaction and CX. 
  • Diversify Customer Service at a Lesser Cost: When more problems that are unique in nature can be handled by voice agents and automated, it helps brands’ customer service be a one-stop-shop for addressing customer queries at a fraction of a cost.
  • Smarter Human Resource Allocation: Self service options in contact centers make it easier to address trivial problems or anything that is repetitive in nature using Digital Voice Agents. Human agents can be allocated only for complex customer service issues, allowing for better resource planning and empowered customer support teams.
  • Make Self-service More human: Digital voice agents add a human touch to the overall experience without involving a human. The datasets are designed for SLU and built for domain-specific words which makes it easier to hold contextual conversation with the customers even via self-service options.
  • Hyper-personalize Customer Support: Brands can guarantee hyper personalization leveraging Voice AI’s extensive language support. It helps break spoken language barriers for enhanced query resolution and overall caller experience.

If you still have questions, refer to the infographic below for a brief comparative analysis between Voice AI and three most popular self-service tools.

FeaturesVoice AIIVR Systems Chatbots Mobile Apps 
Primarily Built for Voice Input YesNoNoNo
Analytics and insights CapabilitiesVery HighLowHighLow
Elasticity of Customer Service  HighLowModerateLow
Hyper-personalized and Contextual dialog CapabilityHighLowHighHigh
Handling time Lowest Very HighModerateLow
Quick Query Resolution Quickest Slowest Quick Quick

Our Titbits

Envisioning customer service in the age of self-service is all about setting the right priorities. With the hope of keeping up with the trends for relevancy, brands and businesses need not steer away from their cost, profits and resource management goals. That’s the core objective of reimagining customer self-service using Voice AI. Brands across industries can supercharge their CX with befitting self-service strategies to be more result-oriented and insight-driven to add a competitive edge. 

Our reflections for the future—customers never settle and self-service alone is not enough! Therefore, we believe Voice AI is the most robust and well-rounded technology to improve customer support capabilities that go beyond conventional contact centers, adding a desired level of autonomy and self-sufficiency in customer service. 

Refer to our Voice AI page for more information on actively engaging with your customers and unlocking the power of self-service.  Book a demo with one of our expertswww.skit.ai 

What Is Call Automation and How Can It Impact Debt Collections?

Let’s face it: third-party debt collection agencies often sit on high-volume portfolios of accounts, as they lack the capabilities and resources to contact all debtors. Ultimately, some agencies give up on reaching all those accounts, focusing solely on the larger ones.

ARM companies usually acquire thousands of new accounts each month, but many of those accounts might be left untouched due to the lack of bandwidth. For each account, collectors need to establish right-party contact (RPC), remind the customer of their outstanding balance, and offer ways to help them pay off their debt. More often than not, customers are not available right away, and the collector has to call them back at a different time. It’s not an easy job!

What if I told you that you could automate this entire process?

Yes, you heard that right. A conversational Voice AI solution can handle your collection calls on your behalf. Think Siri or Alexa, but for collections.

What Is Call Automation?

Contact centers in all industries — from banking to e-commerce and, of course, the ARM (Accounts Receivable Management) industry — are turning to automation as a strategy to overcome the challenges of managing both inbound and outbound calls with customers. While there are a variety of software applications out there, conversational AI technologies are booming right now. These tools are capable of handling conversations with customers without the need for any human intervention.

Gartner predicts that conversational artificial intelligence will reduce agent labor costs in contact centers by $80 billion within the next four years.

Voice AI technologies may sound “new” to you today, but they are set to become the industry standard in the collections and payments space within a few years. Early adopters will likely reap the benefits as they’ll be ahead of the learning curve.

When they hear “call automation,” many people tend to think about IVR (interactive voice response) technology. Think, “To make a payment, press 1…” In recent years, voice automation has significantly evolved with the emergence of conversational Voice AI, which is a more sophisticated technology than IVR.

A Digital Voice Agent (read: voicebot) can handle a human-feeling and effective two-way conversation with a customer, answering questions and providing context-specific information.

When integrated with your collection management software, the Digital Voice Agent can reach your customers, remind them of their outstanding balances, and offer them ways to pay via select payment gateways.

Learn more: What to Look for When Purchasing a Voice AI Solution for Debt Collections

How Does an Automated Collection Call Sound Like?

Are you curious to hear what an automated outbound collection sounds like? Here’s a demo of Skit.ai’s Digital Voice Agent calling a debtor to remind them of their due balance and collect the payment:

The Voice AI platform follows these steps:

  1. Triggers the outbound call based on pre-determined criteria
  2. Establishes contact with the customer (RPC) and reminds them about the payment
  3. Collects propensity data and reasons for potential non-payment
  4. If the customer is interested in making the payment right away, the Digital Voice Agent guides them through the process via a payment gateway
  5. Persuades the customer to pay at the earliest, or offers alternate payment plans
  6. Feeds data to the CMS (collection management software) and provides analytics for further action
  7. Performs auto-callback on request, auto-retries, hot transfer to agent

Is an AI-Powered Collector Compliant?

Compliance is one of the most common pain points for those who manage debt collections. There are so many regulations at both federal and state levels, and it’s common for consumers to file lawsuits against ARM companies, which can amount to major expenses on the agency’s part. Additionally, regulations often change, and collectors sometimes struggle to keep up with the new changes.

It’s actually easier to ensure that an AI-powered collector is fully compliant with local laws and regulations related to collections and phone calls. This is because a Digital Voice Agent:

  • never goes off-script
  • only calls customers at permitted times
  • always honors do-not-call registries
  • never resorts to threats or aggressive language

Dive deeper: Meeting Debt Collection Compliance With AI-Powered Digital Voice Agents

If you want to learn more about call automation for collections and payments, schedule a call with one of our experts or use the chat tool below.

A Story of Transformation: How Skit.ai is Helping ICICI Lombard Reach New CX Milestones

The age of hyper-personalization is here. For the digitized insurance sector, achieving communication-centricity along the way of personalization will be the mantra for superior customer experience (CX)!

Even though insurance policies are intangible, today’s customers look for tangible evidence in the customer service or product features that make their experience smooth and easy.

Insurance claims are moments of truth. They are sensitive moments following an ailment or an unfortunate event. Cost-effective and empathetic service holds the key!

Exploring the Need for Call Automation with Voice AI and Leapfrogging CX 

The high volume of calls in the insurance industry makes call automation imperative. For instance, insurance claims status follow-up typically involves sharing policy information and reference numbers over IVR, keying in their details in self-service dashboards, and calling customer support for status confirmation and validation. Shortening reach to that information most quickly is a definite way of improving CX.

From the providers’ standpoint, dispensing the correct information at the right time without impacting cost, productivity, and customer satisfaction could be a grandiose ambition, especially with the rising cost of human-agent interactions. Besides, the bar for CX is raised too high by thriving CX-centric companies from other industries. Nearly 86% of buyers are willing to pay more for great CX.

Here’s a snippet of industry research that we think can help insurance providers chart a realistic customer support roadmap in claims status management: 

  • People and technology combinations are the most sought-after options for insurance interactions, according to a study by Gartner.
  • Digital channels are great for securing sales but lack personalized advice capabilities, according to the Capgemini World Insurance Report 2021. 

To sum up, an ‘Always-on’, real-time and intuitive customer service is the need of the hour. Insurers need a balanced combo of human representatives and AI-powered automation for frictionless customer support.

We will discuss further in the article how Skit.ai’s Voice AI aces in enhancing both human-machine combinations for personalized claims status support for ICICI Lombard, one of India’s leading private sector general and motor insurance companies. 

Skit.ai and ICICI Lombard Partnership Upholds the Promise of Customer-centricity

ICICI Lombard has held a strong focus on being digital-led and agile. It has successfully launched an array of tech-driven initiatives that are tailored to customers’ expectations. Throughout their legacy of over two decades, ICICI Lombard is committed to customer-centricity with their brand philosophy, ‘Nibhaye Vaade’. As of March 2022, the company has issued over 23.9 million policies, settled 2.3 million claims, and has 283 branches with 11,085 employees. 

The insurer wanted to implement a revolutionary approach to help customers with ‘claims status’ updates for–better CX, contact center performance, and lower cost. The answer was Skit.ai’s Augmented Voice Intelligence platform, which helped the insurer usher in call automation in their contact centers and empowered human agents to drive better CX.

Skit.ai’s purpose-built AI-enabled Digital Voice Agents can handle tier 1 customer service calls, which are around 70% of total call volumes, and make intelligent handovers to human agents for more complex calls. It takes time and post-implementation pursuits to reach such high levels of automation, training the voicebot for all use cases and situations. 

We will discuss the positive business outcomes that Skit.ai’s Augmented Voice Intelligence platform helped ICICI Lombard achieve by automating and modernizing its legacy, checklist-driven claim status processes. Additionally, we will also be detailing the existing challenges in claims status management that prevents insurers from demonstrating speed, value, and efficiency. 

Dive deeper: What are Digital Voice Agents? 

How Skit.ai’s Digital Voice Agents are Accelerating ICICI Lombard Claims Status Support with Call Automation

Digital Voice Agents plug into contact centers and augment human agents by automating cognitively routine work. With the deployment of Skit.ai’s solution, ICICI Lombard could augment its performance in the below-mentioned areas. Other insurance companies can also transform on similar lines:

  1.  Personalization and Empathetic CX: Digital Voice Agent answered customer calls and automatically checked their history based on their registered mobile number. This knowledge helped ICICI Lombard personalize interactions with the customers. Upon request, the voice agents confirmed claim details and updated them on the claim status in less than a minute. ICICI Lombard could also leverage voice automation and personalized caller’s journey without making them wade through the IVR menus or wait to speak to an agent. No wonder they experienced a rise in CX. 
  2. Shorter Conversations: Obviating IVRs, the voice agent helped the insurer shorten the conversations by capturing all the details and transferring them to a human agent who picked up from where the voicebot concluded. This helped in improving the quality and average handling time for human agents. 
  3. Lower Contact Center Opex: Digital Voice Agents can contain a significant volume of claim status calls without needing intervention by the insurer’s customer support teams. This efficiently manages their contact center operations to handle a large number of customer queries (containing up to 30% of claims status calls), and also curbs additional expenses on training and hiring human agents to handle zero-value, repetitive tasks.
  4. Agent Productivity: The automation capabilities of Digital Voice Agents can help contact centers to use their human resources more judiciously by allowing them to only handle complex claims-related cases and escalations.
  5. Always On Support: Running contact centers 24/7 is not feasible from a cost and agent availability standpoint. An insurance policyholder can approach customer support for claim status information at any time of the day. Digital Voice Agents are capable of carrying out human-like conversations and can understand intent, sentiment, and voice tone to cater to their needs even post the working hours.

Discover the Biggest Contact Center Automation Trends of 2022

Business Outcomes of Call Automation at ICICI Lombard

With the help of Skit.ai’s Augmented Voice AI platform, ICICI Lombard achieved impressive outcomes: 

  • Contact center operational cost reduction by 28%
  • End-to-end automation for 30% of calls; no need for a human agent
  • Time to Value of fewer than 100 days 

These results represent just the beginning of possibilities for ICICI Lombard with voice automation.  Additional improvements will emerge as more use cases are added. Also, the learning curve advantages that come with time, will give the insurer a decisive competitive edge.

In the Words of ICICI Lombard Leadership 

Reflecting on their successful journey with Voice AI, the leadership team at ICICI Lombard also expressed their thoughts: 

“At ICICI Lombard, we believe that insurance is a promise that a customer pays for upfront, and the claim is the moment of truth. With our digital transformation strategy, we have set out to deliver on this promise with an intelligent digital voice agent that cuts down on customer wait time and holds empathetic conversations. It is an unconventional, modern solution that simplifies a legacy process that is quite complex,” said Girish Nayak, Chief of Service, Operations and Technology, ICICI Lombard.

“This is a watershed moment for the industry—for an insurance company to employ Voice AI to transact with customers and provide them with their claim status. One of the big CX wins is that customers don’t have to suffer DTMF anymore—no more,” ICICI Lombard mentioned in the case study.

Commenting on this revolutionary move, Vasundhara Bhonsle, Head of Customer Support at ICICI Lombard, said, “At ICICI Lombard, our digital transformation strategy focuses on deploying innovations that provide the best service and experience to our customers. Through our partnership with Skit.ai, we are creating a milestone for the Indian insurance industry. By implementing a digital voice agent to manage inbound queries for claim status, we are modernizing a legacy, complex process to make customer interaction a lot more personalized and empathetic. We look forward to bringing the benefits of the digital voice agent to millions of customers in India.”

Reimagining Insurance Customer Support with Voice AI 

ICICI Lombard began the deployment of Skit.ai’s Digital Voice Agents with one of the most challenging use cases i.e. Claim Status Support. Generally, dispensing claims status information on the go requires a good deal of time and resources. Sometimes, insurers are also dependent on other external stakeholders like hospitals and care providers using time-consuming, manual procedures for patient data and claims status-related updates. To ensure these hurdles do not affect customer support, insurance companies need to remain a step ahead leveraging Digital Voice Agents in the claims status area. 

Below are 6 reasons why insurance companies should up their game with intelligent Voice AI-led workflows in customer support to lead customers in their insurance and claims-related decision-making:

  • Much Newer and Tech-savvier Competition: With the arrival of smarter and innovative entrants in the market, it gets tough for insurers practicing legacy approaches in the claims process to remain relevant and win over customers. CX is crucial for survival and customer loyalty. So, it makes sense to integrate novel CX enhancing technologies and contact center automation to make claims status processing quick.  
  • Delays Cause Frustrations: Delays and long wait times for updates on the status of the claim frustrate customers. The claims process typically has limited human touch points. The absence of timely updates can gravely lower CX and customer satisfaction. 
  • Mounting Opex of Contact Centers: The time and cost factor for outbound efforts, confirmatory calls, and resources used as per policy with the available support team makes it difficult to reach all policyholders on time. This is yet  another driving factor to consider innovation in claims status and leverage Digital Voice Agents for 24/7 service.  
  • Automation Must Follow Digitization:  If approached in layman’s terms, there is too much information like claims reference number, policy number, name, address, and more that a policyholder must manually read out to a contact center agent along with call authentication conversations. This is not only time-consuming but also would be best if the information can be input and confirmed on self-service dashboards rather than over phone calls. 
  • No Room for Errors. Follow-up, changes, and corrections with the human agents when a slew of information (mostly when they are numbers and characters) is exchanged and input manually, has high scope for errors. Inaccuracies and mistakes can be costly for the insurer’s brand reputation and bring down customers’ confidence.  Automation with Voice AI allows for perfection by taking over repetitive, mundane processes. 
  • Self-service and DIY Option Comes with Privacy Factor: Offering intuitive self-service options and Digital Voice Agents that hold human-like conversations with customers can guide them through the claims process and can allow them a degree of autonomy. Since customers are independently accessing the claims process and status, it creates a strong sense of privacy which is integral for customer satisfaction and CX. 

How Voice AI Helps Insurance Companies Streamline Inbound Support

Looking Ahead: 

The future of customer support is voice. Rising costs and human agent attrition make delivering quality support prohibitive. But with evidence abound, Voice AI is fast emerging as a technology to leverage, and leapfrog CX. Voice AI was an option, but it is fast becoming an imperative, watch out!

The journey of transformation has just begun. As we constantly evolve and experiment with our technology across use cases in the insurance domain, there’s clear certainty for better numbers and more success stories in our pipeline.  

Are you interested in exploring automation possibilities with Digital Voice Agent to elevate your customer experience with better customer support? Use the chat tool below to book a demo with one of our experts

Move Beyond IVRs: Transform CX with Digital Voice Agents!

For contact centers, Interactive Voice Response (IVR) systems were a turning point a few decades ago, but now have become a customer experience turn-off. IVR systems have helped companies manage call volumes as well as create value with self-service options, information gathering, and call routing.  But a recent study found that, on average, IVRs cost businesses $256 per customer each year! Additionally, a whopping 61% of these customers are unhappy with IVR systems and believe they contribute to a poor customer experience.

“About 83% of the customers abandon the call and company after their IVRs encounters.”- Vonage report.

Why IVR Systems a Customer Service Turn off 

Historically, IVRs have failed to delight callers due to the poorly designed phone menu and the inability to dispense an answer or connect an agent on the go. Companies and businesses receive a lot of flak due to the general notion of associating IVRs as cost-effective replacements for contact center agents. It is paradoxical that customers warmly accept other forms of automated, self-service options for an instant response like ATMs and a variety of mobile applications but not IVRs!

The reasons for it are pretty simple. Since their introduction into the contact center market, IVR systems have undergone few iterations, and their main features haven’t changed much. The hold time, lengthy pre-recorded menus, and the need to repeat query information, especially during an emergency, continue to be a liability for businesses.  More importantly, customers have a strong affinity for resolving queries with a human representative than with restrictive, pre-recorded systems that only leave them with unsavory emotions towards the brand.

Nearly 47% of callers reportedly experience frustrations with IVRs. A significant number of them admitted feeling angered and stressed, according to the Vonage report.  

The same report also revealed that instead of IVRs, if the customers were able to get a hold of a live agent, they experienced relief (27%), less frustration (26%), and less anger (24%).  However, call center agents often end up at the receiving end of customer frustrations from navigating a labyrinth of IVR menus. Therefore the onus is on brands to elevate customer experiences without negatively impacting agents’ morale and productivity.

In this article, we share our insights on overcoming common contact center and customer experience challenges associated with traditional IVRs by diving into the capabilities of Voice AI. We will explore how brands can elevate their customer support with intelligent voice automation of nearly 70% of calls and human-like conversations.

Explore Now: AI-powered Digital Voice Agents vs Outbound IVRs 

Understanding Digital Voice Agents: DVA vs. IVRs 

Imagine a scenario—a customer calls a banking company’s contact center to block their stolen debit card. In lieu of pre-recorded messages and caller authentication protocols, the call is handled by a voice agent that is capable of contextually comprehending the caller’s urgency and making appropriate suggestions. The overall call experience is different! Why?

  • Zero waiting time
  • The instant response instead of punching numbers, a refreshing change from the lengthy IVRs menu options, annoying IVR theme music, and even from the exasperating experience of going down the rabbit hole of the menu by accidentally pressing a wrong button. 
  • For simple queries, no need for human agents

That’s our Digital Voice Agent (DVA) at work. Skit.ai’s DVA, for instance, is an AI-enabled virtual agent built from the ground up to understand human conversations. It can be plugged into contact centers to resolve tier 1 customer problems and automate cognitively routine work.

Digital Voice Agents vs. IVRs

  1. Built for Voice: Unlike conventional IVRs and chatbots that are capable of understanding only transcriptions, Digital Voice Agents are crafted specifically for voice conversations. Whenever a customer calls the contact center, they can interact with the voice agents in the same way as they converse with human agents.  
  2. Built for Personalization: With DVAs, there wouldn’t be any psychological barriers that callers experience when they are forced to interact with IVRs or chatbots. Besides, an intelligent voice agent that can sound like a human, picks up on the immediacy of the issue, giving callers a sense of relief and comfort in their critical moments, adding a more personal touch to customer service. Besides, they can even interact in the caller’s preferred choice of language.
  3. Built for Accuracy: Another issue when dealing with IVRs is that they work well only when there are no external disturbances like background noise or music. They can sometimes not recognize text inputs and end up redirecting the caller to the undesired part of the IVR menu. But DVAs can take in both voice and text inputs, and even filter out the ambient noise to capture the accurate voice response by the customer. 
  4. Built for Capturing Intent: Voice agents are based on powerful spoken language understanding (SLU) algorithms and can identify the semantics of the conversation. They can accurately capture the caller’s sentiment, tone of voice, and speed of the conversation to identify intent. 
  5. Built for Resolution: In emergency situations that require a quick response from customer support, a call hold would reflect poorly on the company’s services. It can even make them lose customers to their competitors. Most IVRs cannot pick up on non-linguistic cues like pauses, gasps, and utterances in between sentences. It is purely designed for text inputs. DVAs are capable of having contextually accurate interactions without relying on a limited stack of keywords, enabling quick query resolution. 
  6. Built for Intelligent Human and Machine Collaboration: IVRs are automated and function independent of human agents. DVAs are capable of end-to-end automation of simplistic calls and pass on complex ones to human agents, involving them only in complex use cases.

 A Deep Dive: AI-powered Digital Voice Agents vs IVRs

Now, let’s look into 7 specific angles where Skit.ai’s purpose-built, industry-specific voice-first technology, Voice AI, makes a tremendous difference to contact centers.  Skit.ai’s voice agents are a better fit than traditional IVRs in enhancing the quality of customer service.

  1. Speed and  Simplicity: Simple and easy-to-understand customer support is a formula for delighting a captive audience. There’s a good chance that the majority of callers may not get past the common obstacles in IVR menus, complex navigation, and confusing terminologies. IVRs can best offer five top-level and three sub-level menu options whereas DVAs immediately attend to calls, keeping it short and simple. 
  2. Quick Resolution with Cost Efficiency:  Apart from resolving customers’ problems, customer service organizations look at cost and call time spent as success metrics. Instead of wasting time, waiting for the right menu option on IVRs, customers’ queries with DVAs are addressed instantly and at a fraction of the cost while also engaging with the callers over voice conversations at scale. 
  3. For Intelligent Customer Service: Today’s customer service is expected to be built intuitively to absolve current issues and anticipate the next course of action. DVAs help make the most of the voice conversations with customers by mimicking human-like conversations and leveraging customer data to make appropriate recommendations, suggest steps or make intelligent call transfers to human agents.
  1. Quick Agent Reach during Emergency: Even the most loyal customers lose patience and abandon calls midway when forced to repeatedly go over the IVR system. For critical use cases that require timely resolution, DVAs work best. They not only hold an immediate voice interaction with the callers but also identify short, conversational utterances, pick up on callers’ intent, and capture customer details for quick call transfers to human agents. 
  1. Making Query Resolution Interactive: Speaking to a live agent immediately is not the magic bullet for customer support success. Augmenting IVR systems or replacing them with Voice AI-driven automation for call back features at customers’ preferred time helps personalize and enhance the call experience making the conversations more empathetic. The rapid scalability and robust integrations of the DVAs help include options to reach customers with interactive emails and voicemails along with call-back options. 
  1. Easy Integration with Customer Experience Systems: Customer service calls can be more proactive and intuitive when integrated with customer relationship management (CRM) platforms and automated call distribution (ACD)  systems. Voice agents have access to caller history, previous purchases, and other customer data based on the caller ID number. It provides enough pre-context to authenticate calls before call handovers to human representatives.

Read in Detail About–Digital Voice Agents: What, Why, and How 

  1. Timely, Useful Insights for Enhanced CX:  DVAs help brands adopt advanced analytics-driven approaches to unlock a treasure trove of insights on call performance as well as define relevant KPIs and areas for improvements in the customer’s journey for cost savings and better CX. IVRs need optimizations to deliver this capability. While DVAs work as productivity enhancers with timely insights that help add incremental value to the brand or business’ customer experience. 

Despite several detractors that customers unanimously agree on, IVR systems remain a staple in customer support. The worldwide growth rate of the IVR market is expected to reach $6.7 billion by 2026.  This growth trajectory can be a blessing to CTOs who chose IVRs for long-term customer service investments, but certainly a nightmare for CMOs against the backdrop of increasing customer calls. Technological innovation and AI-driven upgrades are needed to drive the progression of IVR systems. Until then, Voice AI helps empower businesses to elevate inbound and outbound initiatives for better CX in ways that IVR systems fail to live up to. 

Are you interested in contact center automation with our Digital Voice Agent to elevate customer experience?  Book a demo with one of our experts: www.skit.ai