Any article that myself and the brilliant Bob Furniss are both in is very good in my book!
Click through to read this great writeup of our respective ICMI Connections sessions.
Here’s my section…Continue reading →
Holiday shopping season isn’t easy. Even for the most well-organized customer service functions, seeing query volumes and queues rise into the red can be a hair-raising and difficult experience to handle.
When it comes to holidays some things don’t change, like presents under the tree, turkey at Thanksgiving, and even customers’ expectations of service. A difficult shopping experience during the holidays can deter them from coming back and leave businesses with less than favorable reviews, and the resulting impact can be felt all year round.
64% of retailers are preparing internally to meet customer expectations this holiday season by transforming processes to become more agile and customer-focused. Prioritizing the customer experience when getting your customer service team ready for the season can help mitigate this and remove friction from customer interactions.Continue reading →
My phone rings. It’s a mobile number, and I’m expecting a call.
I pick up the phone. An automated voice responds:
“We are calling to inform you that the IRS has filed a lawsuit against you…”
I hang up, frustrated, and block the number. I’ve heard this same message all month long.Continue reading →
If you liked mine and Matt’s article for ICMI on building Chatbot trainers in the contact centre, you’ll like our webinar too.
You’ll also like this webinar if you believe in Knowledge Management as a preface for great customer experience!
Click through to access the recording, and here’s a rundown of what we cover…
“As a contact center leader, you’ve worked hard to grow your service quality and efficiency to where it is today. Now, with AI on your mind, new challenges are emerging.
Register for our webinar to learn implementation strategies that provide a practical path to AI adoption for all kinds of businesses – regardless of your size or industry.
How does your contact center handle new starter training and onboarding?
Most businesses fall into three camps:
Option three is by far the best to develop happy, engaged staff, giving them what they need to become successful and confident before they get anywhere near customers. This investment in employee experience (EX) can be found at the foundation of all great customer experiences.
But great training or onboarding comes at a cost. Research suggests that for centers who invest in training, onboarding a new employee can cost upward of $14,000, with a new hire’s break even point for ROI not kicking in until week 22.
That’s a significant amount of time, resource and expense, and smaller businesses especially will know how tricky it can be to secure buy-in for these efforts. It’s still vastly better than trial by fire, where savings on training cost are dashed by poor quality customer interactions leading to dives in customer satisfaction and peaks in churn.
However your center trains your staff, you’ll know that there’s been a lot of talk about how AI can be used to improve customer-facing interactions – but there’s more to AI than meets the eye. The development of new technology means that it is possible for HR and contact center managers to augment traditional training and onboarding processes to help employees learn and access information in better ways than before.
Put yourself in one of your new agent’s shoes for a moment. It’s your first day, you’ve been introduced to your team, signed into your computer for the first time and you’re ready to start learning how to answer customer queries.
For complex queries, it’ll take you a decent amount of learning to figure out when you’re making the right judgment call – those queries that fall into the gray-area of your organization’s rulebook where a good answer starts with “Well, it depends on…”
But for a lot of other queries, answers are more black and white. When it comes to getting comfortable with basic FAQs and straightforward inquiries, you’re not so much learning them as remembering the right sequence of clicks to get to find information or memorizing answers by rote.
While AI isn’t meant to help employees make tricky judgment calls, it can lighten the load of those straightforward queries when integrated into the systems that agents use in their day-to-day work.
Intelligent Assistants are a form of AI that can do this by integrating customer communication channels with your existing knowledge resources to present answers to agents, at the point they need them.
Equipped with natural language processing (NLP) and machine learning (ML) capabilities, Intelligent Assistants work by scanning text-based customer conversations and providing answer suggestions based on your internal or external knowledge bases, chatbot responses, and other knowledge resources you already have stored in text form.
These systems can even learn from customer interactions within the system, eventually building a response model that’s more robust than your recorded knowledge resources alone.
Just as you have everything you need to drive your car while sitting in the driver’s seat, locating key resources in the agent console has huge benefits – allowing for new starters to start using internal resources confidently and with speed, right in the window where they work.
We often talk about the necessity of eliminating friction in the customer experience, but we rarely think about what the equivalent might mean for employees.
It’s a reality that for customer-facing employees, getting the right answer to even black-and-white questions might mean fruitlessly consulting a FAQ page, then paper-based manuals, then your online knowledge base, and finally other colleagues, all the while knowing your customer is getting more irate the longer they’re on hold.
The beauty of integrating Intelligent Assistant AI within your communication systems means that you can draw on the combined wisdom of all of these resources and let the AI present you the best answers, no waiting required.
While much of what has been discussed so far is especially relevant to onboarding, Intelligent Assistants can even be helpful to train veteran agents during a new update or product release.
Many organizations struggle with operationalizing knowledge management and obtaining resources to manage KBs. A lack of solid knowledge resources is a major reason why some companies don’t feel ready to start automating.
But the beauty of internal-facing AI is that you can give it exactly the same resources as you would give any new employee, or what you already present to customers, and start from relatively rough and humble beginnings without that ever impacting on the customer.
Intelligent Assistants only suggest answers that can be edited before sending, so if answers aren’t fully-formed or grammatically correct then they can be built upon by the agent. Agents can also suggest extra answers to the assistant for an administrator to add into the tool, improving its responses over time.
In this way, Intelligent Assistants can help to build stronger internal knowledge tools. They can reinforce a living knowledge management system, where agents interact regularly with a tool that can capture the best of their knowledge and expertise.
If you’ve ever tried to implement KCS or other knowledge management workflows within your centre, you’ll know that encouraging contact center employees to update knowledge resources alongside query handling can be incredibly difficult. There simply isn’t the time in their day to do so. But integrating those knowledge resources in the console where they work means that building robust knowledge resources suddenly becomes a lot easier.
Like any AI investment, it pays to plan well from the inception of the project. The more time you invest in the initial set-up, the better the AI will work, and the more confident you can feel in your new employees with the software guiding them through customer interactions.
The three areas you need to consider the most when deploying Intelligent Assistants are the information it draws on, the deployment process, and a continuity plan. The insights below touch on each of these items, ensuring that quality of information is balanced with speed and cost benefits.
Ask your team to check your existing resources to ensure they are up-to-date and don’t include any glaring errors.
Because Intelligent Assistants are able to draw on your cache of support tickets, previous chat transcripts, and they can learn from agent feedback, it’s not necessary to have a 100% robust knowledge library from the off – the system will become more robust over time.
You should, however, ensure that any information you feed your assistant isn’t outright wrong.
Be realistic about the types of questions your Intelligent Assistant will be able to handle.
AIs won’t be able to empathize authentically or grow real relationships with your customers – those are the things your agents shine at. Your agents are also best equipped to make the judgment calls on complex queries that really draw on their skills and expertise.
Select relevant queries for your AI to handle from your knowledge resources accordingly.
In the same way, let your agents know the strategy and purpose for your Intelligent Assistant. Involve them from the earliest planning stage, secure internal champions, be open and transparent. Including agents from the design stage means that you’ll end up with a tool your team is brought into, and that won’t be perceived with fear or negativity.
You’ll also need to be clear about the types of questions that the tool is best equipped to handle by giving them some example questions so they can see where the boundaries lie. Introduce them to the feedback process within the tool, reward your best contributors, and consider whether you need to reinforce the new process with agent KPIs.
Each question will need an answer, and you’ll need to add them into the tool accordingly.
One extra thing you’ll need to account for at this stage are synonyms or business-specific language that your customers and agents use. By adding in a number of alternate word definitions for the same term, for example: customers, clients, and members, your Intelligent Assistant will be able to better handle variations in language that your customers and agents use.
Just like you would never want to throw a new employee into any task without making sure they know how to do it right; you never want to deploy any form of technology to your team without making sure it works. Is it fetching the right information? Are the workflows processing the correct information? Most importantly, is the AI helping your agents?
Just like keeping your resources up to date, making sure your AI is up to date is important. While the Intelligent Assistant will learn from customer conversations and agent feedback, any and all product updates, releases, and other new information or links still need to be programmed into the AI.
In the back end of your Intelligent Assistant, you’ll have access to a wealth of information to fine-tune your AI – agent suggestions, stats and statistics on usage, and suggestions from the platform itself. Use this information to keep refining the information your system provides.
Intelligent Assistants are a low-risk way to get started with automation, strengthening your internal knowledge resources to build a customer knowledge model that understands your customers and the way your agents speak to them. Since strong knowledge resources are key to effective chatbots and more, the possibilities for further automation then unfold.
Even if the chatbot route isn’t for you, it’s not just in training and onboarding that Intelligent Assistants can provide benefits. Extended use cases include having the Assistant pull personalized information from a CRM, eliminating the need for agents to put the customer on hold and look up an answer in that system.
Intelligent Assistants can also be used to automate entire workflows – such as the process of order tracking, password resets or taking payments. Any process which requires multiple, standard steps can be kicked off automatically by agents to gather details, and the agent can then take back control when the customer completes the workflow.
Five years ago, nobody would have believed that this degree of automation within contact center training would be here today. Back then, we were barely getting to grips with the concept of omnichannel marketing, yet now it’s a part of standard contact center working.
Technological advancement is happening fast, and Intelligent Assistants are here right now. It’s amazing to be on the forefront of what promises to be change that disrupts our contact centers and training programs for the better.
Humans will always be essential to the customer experience, but we need to better support and develop those humans that serve our customers. AI offers us the opportunity to do that.
When your fledgling agents finally start taking their first queries, even if they’re not 100% confident (and even with months of training, many rarely are), they’ve got an extra safety net to help them out.
While Intelligent Assistants will never be able to coach and mentor, dispense deep wisdom or grow authentic human relationships, it’s possible for them now to take enough of the strain so our teams can have more time to focus on those things.
That’s ultimately the goal of AI adoption. To allow us humans to better exercise our uniquely human skills, and to free us from basic, transactional work – allowing our agents and ourselves more time to focus on the things that truly matter.
Originally published at G2Crowd.
Since the dawn of time, humans have used technology to improve the way we live. From our earliest forays into fire-making to building the first cars, it’s human ingenuity which has helped us take raw materials around us and transform them into new inventions to make our lives easier.
In the present day and the realm of the contact center, we’re on the cusp of widespread adoption of a new technology. One which holds the promise to make business faster and easier, for us and for our customers – and that’s through automation, with Chatbots leading the fore.
Any technology requires human skill and knowledge to make it work. Even those first humans making fire needed to understand how friction could be transformed into sparks, applying their abilities in combination with materials to produce those first licks of flame.
Just because a technology is advanced, doesn’t mean it can create or maintain itself, and Chatbots are no different. Behind every great Chatbot experience is a great human – someone who can design a service which effectively meets customer needs, and who grows the bot’s capabilities over time through testing and feedback.
Despite all of the hype and excitement around Chatbots, there’s often little said about the humans behind the bots. What sort of people are building bots? What skills do they require? And what do contact center leaders need to do to find, grow and nurture these people to help their centers get ready for automation?
To help answer these questions, I’ve called on Comm100’s resident Chatbot expert, Matthew Jinks. Matt has been instrumental in building our own chatbot on our website, as well as helping companies around the world get great results from their chatbot implementations, so he’s well qualified to share what’s needed to nurture a budding bot building specialist.
Hi Matt! What got you interested in building and training chatbots?
I liked the idea of working with emerging technology. I’ve always been fascinated with the idea of AI, and I thought it was a great opportunity to expose myself to something which will probably play a growing role in our lives moving forward.
Personally, I don’t like waiting for service for something simple. Waiting on the phone for 20 minutes to update my billing address when I move is a waste of my time. If more businesses offered bots for functions like this, I would jump at the opportunity to use them. That being said, I know there are a lot of interactions which shouldn’t be automated, and I wanted to develop something which frees up agent time to handle those more complex and sensitive interactions.
Are specific technical skills or knowledge, like coding, for example, needed to build and train chatbots?
There are a lot of great software companies out there who make it easy for non-technical people to build chatbots, without needing to code. If you’re implementing sophisticated chatbot functions like account management or order taking, this side would normally be handled by an IT team. But for the bulk of the building and ongoing training of a bot through an established chatbot platform, this doesn’t need to be handled by people with an IT background, and someone without a lot of technical skill could definitely get to grips with the work.
What about specific personal attributes and attitudes which are likely to gear bot builders up for success?
The bulk of the work that needs to be done when building a chatbot is researching which questions your customers are asking, identifying which ones can be automated and then crafting clear and concise answers. This work is ideal for someone with strong communication skills, who enjoys understanding customer behavior, and a passion for delivering great customer experiences.
It’s a plus if a person enjoys systems-oriented thinking. Sometimes customers ask questions which require the bot to ask clarifying questions before it can return a proper answer. For complex interactions like this, it’s best to map them out beforehand, so you understand how to get the customer where they are trying to go to as quickly as possible.
What’s most interesting or rewarding about working with chatbots?
When I deploy a new chatbot or significantly upgrade one, I read all of the bot’s conversation transcripts to see how it’s doing. There’s no real need to do this since we have analytics and learning components that tell me where the bot may be falling short. But seeing someone come in with a query or service request and having it successfully handled by a response or workflow I’ve created is really satisfying. You put in all this work and thought into the chatbot, but never know whether customers will like it or not until it’s deployed. It’s great when that work pays off.
What advice would you give to a contact center manager looking to help an employee take on chatbot responsibility?
Give them time to understand the technology. The more their skillset grows, the more complex interactions they’ll be able to design. This is an emerging technology, and there’s a lot to learn. If you let the person handling your chatbot deployment invest time and effort into understanding the technology, you’re going to have a much better internal SME and an even better chatbot deployment.
Understand that they probably won’t get the whole thing right on the first go-around. Test out your chatbot thoroughly internally before launch, keep fine-tuning and making things better. Be patient, because the rewards for doing this task well are immense.
Thanks, Matt for your time and insights!
Automation promises to change the working world fundamentally, and our contact centers are no different. McKinsey state that by 2030, as many as 375 million workers – around 14% of the global workforce – may need to switch roles as digitization, automation, and advances in AI change the way work has been done in the past.
But there will always be a need for human oversight into customer interactions, even if Chatbots handle them. Rather than agents being replaced by Chatbots, the contact centers of the future will need employees to act as stewards of this technology, guiding and training bots to perform the best they can. Customer needs are never static, so that fine-tuning will take place well into the foreseeable future.
I hope this interview with Matt has shown that there aren’t better candidates for these roles than the stars that work within almost every contact center out there – those agents who are technologically savvy, emotionally intelligent, and who already understand customer needs inside-out.
These could be great roles for staff who are keen to develop beyond traditional contact center career paths. Job descriptions in this area could be filled with vital and pioneering new responsibilities to tackle, such as:
AI is becoming better and more sophisticated by the day, offering more possibilities for businesses who are seeking to scale in ways that don’t just involve hiring more staff. The days of “easy calls” are already largely gone, due to self-service. The contact center landscape is changing fast and adapting to these changes can seem intimidating.
But I know that all of our contact centers contain bright, talented people who can help us to get there. There’s certainly no rulebook for adapting to technological change – we’re all on the cutting edge together.
The beauty of starting change through adopting chatbots is that software is now at a place where we don’t even need much of a rulebook. We don’t need our automation SMEs to have an IT degree and know how to code in 15 languages. We just need to develop the bright, talented people within our centers in the right ways.
The more that contact centers can create career paths which align with new technology, the more that our businesses and our people will be able to really benefit from technological change – making the next generation of contact centers pioneering, future-ready, and truly exciting places to be a part of.
You can’t build a house on a weak foundation. In the same way, the standard of customer experience that consumers expect isn’t achieved without technology to bring together disparate channels and make consistent, seamless experiences an easy thing to achieve.
Thanks to the growth of omnichannel strategies in recent years, there’s no shortage of customer experience (CX) platforms out there. But in the same way that CX can be applied differently within different organizational areas, many CX platforms can be similarly varied in functionality. Some might be more appropriate for marketers, some for operational functions and others aim to meet just about everyone’s needs.
Despite this, there are some overriding considerations that will help you identify the right platform for you, regardless of the nuances of your CX strategy. Some things in CX just don’t change, like the need for personalization or easy agent training.
Read on for my full checklist of five criteria to help you find the best customer experience platform for your business.
Bottom line: Quality CX platforms allow companies to create personalized messages to customers based on their geography, browsing history, shopping cart activity and more. These personalized touches should be able to be used at many different points of the customer journey, whether pre- or post-sale and throughout the customer’s lifecycle. It’s through personalization that companies get to demonstrate deeper customer understanding and build stronger relationships with their customers.
Bottom line: Your agents are your primary end users of any new platform, so it must enhance their ability to do great work without needing lengthy training or workarounds. 98% of organizations state the agent experience (AX) is a key part of any successful CX strategy, so any good customer experience platform needs to enhance AX as much as the CX.
Bottom line: The right customer experience platform should be versatile enough to contribute to every single one of an organization’s customer experience metrics and be flexible enough to adapt to any technology stack through customization options.
Bottom line: Quality conversations build stronger relationships, but they shouldn’t occur at the expense of efficiency. Organizations need to make sure they’re taking full advantage of a CX platform’s full capabilities – file sharing, co-browsing and more – to provide quality interactions through tactical, interactive experiences that fuel greater customer satisfaction.
Bottom line: Safeguarding customer data will always be non-negotiable. Good CX platforms feature should have multiple layers of data protection and compliance with data standards like ISO 27001, GDPR, PCI, HIPAA and more.
Today’s omnichannel CX platforms have the ability to deliver better experiences on a lot of fronts. They should be able to handle incoming communications, allowing you to create service that’s fast and high quality. They should help you to gain new insights into your customer data to make more informed decisions and react quickly to change. And they should enable you to take the first steps into automation with AI capabilities that can be relied upon.
At the same time, companies need to remember that customers want to be treated like human beings, not data points. The advantages of efficient platforms mean that your agents should be able to rush less and spend more time helping customers with the queries they most need human help with. That’s truly a win-win – when entire organizations can reap the benefit of a strong CX platform which helps agents, businesses and customers in spectacular new ways.
Originally published here.
Agent: “How can I help?”
You: “Well, it’s a long story…”
Have you ever uttered these words when you’ve got in touch, yet again, to ask an organisation to solve a persistent problem? If you have, you’ll know that one of two things can happen.
Either, the agent stops you right there, looks up your history, and troubleshooting carries on from where you left off.
Or you’ll need to repeat the whole sorry story to a new agent. Even then, sometimes it can take tens of minutes of waiting while the unwitting rep scrambles to piece together exactly what’s happened, trying to understand the timeline of events from fragmented logs in disparate systems.
I experienced the latter situation when trying to solve a wifi issue with my internet provider. Unwitting agents would tell me to follow the same troubleshooting steps, forcing me to explain that I’d tried all of that before – turning my router off/on again, reverting to factory settings, checking my access points, getting a new router delivered, all the while my issues persisting and my patience running thin.
What’s worse is that agents on live chat didn’t seem to know what agents on the phone had suggested. Twitter reps told me to phone in. Different departments didn’t even seem to share the same access to my communication logs. The experience was drawn-out, painful, and with some bitterness I eventually changed providers.
According to research, telecom companies saw a 57% rise in customer complaints in 2018, with internet problems being the most common issue. But the rising percentage of customer complaints isn’t new or exclusive to just the telecom industry.
Poor customer service is costing businesses across all industries more than 75 billion dollars a year. Technological developments and digital channels hold the promise to reduce customer service issues, but systems that aren’t integrated can cause more problems than they solve.
It doesn’t have to be this way. An effective omnichannel strategy can work to reduce the fragmentation and provide experiences that stand head and shoulders above the rest. Here are some ideas to think about to create that strategy for your business.
52% of consumers (like me!) switch service providers due to poor service. Even in those customer service situations where a resolution can’t be easily found, consistency and personalisation can really take the sting out of the issue.
Customers shouldn’t have to repeat themselves several times to several different customer service agents. Well-integrated channels mean that agents should be able to instantly see a timeline of contact logs, regardless of which channel they came in on, and provide situations that are tailored to the customer.
Time is something we can never get back. And just as customers hate having their time wasted through repeat contacts and time spent on hold, wasted time is terrible for contact centers too, causing inflated handle times and lower agent availability.
Channel pivoting should never be a barrier to good customer service. Blending all your channels into one platform gives the agent a complete view of the customer so they can solve problems faster and more efficiently.
Customers don’t think channel, businesses do. Understanding your customer and offering more consistent and personalized service helps to build empathetic, considerate relationships that keep customers for the long-term.
Effective omnichannel systems allow customers to be transferred to the agent they last spoke to. Many customers breathe a sigh of relief when they’re able to speak to the same agent who knows their history, and this helps to forge stronger relationships too.
An effective omnichannel customer strategy allows you to use intent-based routing to get customers to the right person, no matter how, where or when they try to access service. This not only allows returning customers to be served by agents they’re familiar with but also makes sure that the right queries go to the right departments – curbing the dreaded transfer tag.
Customers should be able to access service in the channels that are most convenient for them. Contact centers need to make sure that customers can get the answers they’re looking for on the channel that they choose, or risk losing them to a competitor that can deliver those answers better and faster.
Contact center work can be tough at the best of times, but it’s made even more difficult through forcing agents to juggle disconnected systems. Bringing everything together in one platform prevents agents from needing to switch back and forth between applications. Rather than needing to keep an eye on five different windows or manually copy and paste customer information provided through an IVR maze, agents can focus on simply solving customer problems.
Eliminating the need for multiple logins, siloed information, and endless searching from your agent’s day-to-day lives will make them faster, more efficient, and more productive with their time – not to mention, a lot happier too.
All too often, customers give up and walk away because they just can’t find the information or support they need. If your competitors make this easier, then your retention rate is on the line. A proactive customer service strategy is one way you can truly go above and beyond the rest. Map out your customer journey and identify where people most often drop off.
For example, you can program your live chat system to offer a proactive help invite that pops up after a certain number of failed searches on your website, routing customers straight to an agent who’s ready to assist. This allows your agents to capture customers at risk of falling through the cracks, reducing your churn rate.
By anticipating customer problems and solving them before they become serious pains, you can prevent your customers from ever getting to the point of attrition.
While proactive live chat outreach is a great way to reduce customer churn, it’s also important to widen your focus and proactively search for trends which could signal issues that cause customers to leave.
Different platforms have different reports and analytics suites. Trying to compile reports to identify trends and draw meaningful conclusions or find areas of improvement for your overall customer service strategy is often a hassle when you need to pull different metrics and KPIs for every channel. Not to mention, it makes effective QA doubly difficult.
Bringing all your reports into one, unified dashboard allows you to uncover information and trends that you may not have noticed before. With a simplified reporting suite, you can better see how your customers interact with your agents, what type of questions they ask, and where areas of friction appear – allowing you to make improvements more easily.
No customer likes to be forced to walk away. More often than not, the inefficiencies and frustrations that cause severed customer relationships aren’t deliberate on an organization’s part – they’re simply the result of poorly planned processes, and disconnected systems.
Your contact center plays a major role in maintaining customer relationships which then benefit your entire business. Considering that 68% of consumers will not go back to a provider once they’ve left, and 80% of them believe the organization could have done more to retain their business in the first place, there’s real opportunity for contact centers to make a difference.
Omnichannel might sound like a buzzword, but as a CX tactic it’s solid. By creating an effective omnichannel strategy with integrated platforms sharing a single source of customer truth, you stand the chance to gain benefits that go beyond the technological – helping your customers to perceive you as efficient, understanding, and worthy of their continued custom.
Originally published here.
Picture this: A screen with four applications open, arranged in windowed tiles so you can still access the other five other applications hidden behind. The click-clack sound of keyboard toggle shortcuts punctuating conversations between each back and forth. A chorus of “Hold, please” to buy time needed to manually copy and paste the customer information that was just provided via the IVR maze.
Contact centers are no stranger to system siloes with 45% citing lack of integrated systems as an obstacle to digital transformation and seamless customer experiences. While not a new phenomenon, new technologies are emerging that are working towards a remedy for this age-old problem – and unified communications just may be the answer your contact center is looking for.
What does Unified Communications mean?
Unified communications is when all your external and internal communications are brought together on a single platform. Simple right?
When one platform connects all the dots within your business, you get a single source of truth for your agents. From phone calls to tickets to social to SMS, unified communications bring together all your customer service channels into one, 360-degree view. Your agents can access customer information, history, and profiles no matter which channel they choose to interact with you through.
Unified communications is powered by a system specifically tailored to contact center needs – even warranting its own software category (Unified Communications as a Service, or UCaaS). These systems not only bring everything into one platform but also streamline the process of channel pivoting. For example, a customer may call in by phone but with a single click, an agent switches them into live chat co-browsing to troubleshoot a more technical issue.
What are the benefits of Unified Communications?
Streamlining processes and integrating systems help contact centers in a variety of contexts. Unified communications bring big business benefits to your contact center by improving agent productivity, efficiency and agility.
Imagine having your internal communication platform, CRM and customer-facing support channels at your fingertips, all the time on one screen. With unified communications, your agents can finally stop toggling and start working.
Originally published here.