With the proliferation of all kinds of bots the last few years, “digital labor” is a term you’re going to be hearing more and more about going forward.
Lee Coulter, who chairs the IEEE Working Group on Standards in Intelligent Process Automation says that “digital labor” is really just another term for “intelligent automation”. However, digital labor represents a paradigm shift that’s disruptive to the status quo. From what we’ve seen so far, you can expect that it will change how we work. It will change the kinds of work we do, and it will also create enormous new opportunities for cost cutting, as well as career opportunities for those who will be working with and managing digital labor.
A few years ago, an analyst at HfS Research coined the phrase “Welcome to Robotistan”, which referred to a corporate world where humans intermingled with virtual FTE’s, primarily in the form of bots that could take on the boring, repetitive tasks so many humans despise doing. With the proliferation of automation the last few years, that vision has turned into a reality, perhaps quicker than many thought it would.
Now with the COVID-19 pandemic, we’re seeing interest really skyrocket from organizations wanting to deploy chatbots to relieve humans of robotic-type tasks, and free them up for more important things, like for example, reshaping the digital workplace to accommodate all the people now working from home.
The worldwide chatbot market continues to experience extraordinary growth. According to Business Insider, in 2019 the market was worth a bit more than $2 ½ Billion, but they’re forecasting that by 2024 it will approach $10 Billion! That’s a compound annual growth rate of over 29% a year, which by any measure is very impressive.
Last year Salesforce.com released a major report entitled the “State of Service”. In this study they found that nearly a quarter of their respondents (23%) currently use AI chatbots and nearly another third (31%) said they plan to use them within 18 months.
That represents a projected growth rate of 136% in the use of AI chatbots from Spring of 2019 to early Autumn of 2020. Another clear indication of serious growth!
As we’ve often said at Ayehu, the biggest factor driving enterprise adoption of AI chatbots is probably service desk Cost Per Ticket.
The generally-accepted industry figure for the average cost of an L1 service desk ticket is $20. Enterprises deploying AI chatbots to enable self-help or self-service capabilities for their end users are finding that they can drive down the cost of those L1 tickets to just $4. Tell a CIO, CTO, or any senior IT Executive that there’s a way to reduce their single biggest expenditure on IT Support by 80%, and they’re likely going to be very interested in hearing more.
However, AI chatbots with automation that shift ticket requests to end-users for self-service can do much more for the Service Desk than just lower ticket volume and costs.
When AI chatbots are deployed as digital labor, service desks can also:
- Slash MTTR by accelerating resolutions of incidents and requests
- Liberate IT staff from doing tedious work and free them up for more important tasks
- Raise customer satisfaction ratings, an increasingly critical KPI for IT Operations
Last year, Ayehu conducted an inquiry with a Gartner VP focused on the AI chatbot market, and he shared with us what they believe the biggest value propositions of digital labor are, based on an organization’s AI chatbot maturity level.
If your organization is interested in the technology but hasn’t deployed anything yet, in other words you’re in pre-production or your plans are still on the drawing board, then your biggest value proposition from digital labor is going to be cost reduction and deflection rates.
If your organization already has AI chatbot solutions in place, then your #1 benefit from adding automation and turning that AI chatbot into true digital labor will be increased customer satisfaction.
Regardless of whether you’re in pre-production and have yet to deploy digital labor, or have rolled out chatbots and are looking to add automation, here are some questions you should ask yourself and have answers to in order to guide your enterprise to the best possible outcomes.
What would AI chatbots mean inside of my enterprise?
How would they change business processes? How would they impact our cost structure? How would they increase our capacity?
How do I want our people to be able to work with digital labor?
This is another important question to ask in order to clearly demarcate where digital labor ends, and escalation to humans begins.
How do I want our people and digital labor to engage with customers?
This is actually important to answer whether the customers are internal or external.
There are a lot of important questions to ask your digital labor vendor as well before deploying, but here are 3 that really stand out.
What kind of scalability would an AI chatbot be capable of inside of my enterprise?
How many users can it handle? How many inquiries can it handle simultaneously? This is very important to know beforehand.
How easy is it to use?
How hard is it going to be to configure the AI chatbot for my enterprise? Do I need expensive highly-skilled programmers, or will one of my junior-level sys admins be enough?
Finally, how many other systems can I integrate my digital labor with?
The number of platforms your digital labor can connect to will dictate how much of your workload it can automate for you.
If you’re interested in test driving Ayehu NG as the automation platform that powers your digital labor efforts, download your very own free 30-day trial version today from the link below:
It’s the End of the IT Service Desk as We Know it (and We Feel Fine)
If you’ve been paying attention the last few years, you know Digital Transformation is a concept that’s sweeping through many organizations, and fundamentally changing how they operate and deliver value to customers.
There’s some very cool, but still somewhat emerging technologies underpinning this disruption, and you’re no doubt familiar with them. Things such as:
- Data Science
- Machine Learning
- Artificial Intelligence
But in the last couple years, the emerging technology that seems to have garnered the most mindshare faster than any of them is chatbots. That’s right! Chatbots are the coolest kids on the digital transformation block, because they assimilate many of the benefits from data science, machine learning, and artificial intelligence into a form that can be used today, and deliver value to your organization and customers right now. As a result, chatbots have emerged as perhaps the most familiar digital transformation experience for end users.
BTW – There isn’t any consensus yet on a single definition of “Digital Transformation”. One thing just about everyone can agree upon though is that shifting more of the laborious, repetitive tasks that people shouldn’t be doing in the first place over to chatbots is a good idea. This becomes especially true when you look at some numbers.
A the 2017 HDI show, Jeff Rumburg, Co-Founder and Managing Partner of MetricNet, an IT research and advisory practice, delivered a presentation on the results of his research into the costs of different service desk access and communication channels. He discovered some amazing disparities.
Jeff found that incidents requiring Vendor Support cost on average a whopping $599 per incident.
If you needed to get IT Support involved (that’s level 3 support), the average cost was $104 per incident.
Desktop Support (level 2) was cheaper, but still relatively expensive at $69 per incident.
Incidents going through the Service Desk, your level 1 support tier, cost $20 per incident. Since level 1 tickets comprise by far the highest volume at most service desks, that’s a logical place to start applying chatbots.
If you can push out incident resolution for level 1 tickets to your end users, enabling them to initiate and remediate their own incidents with chatbots, the cost of support drops down to a very economical $4 per incident. Yeah, wow!
At this point, some more skeptical people in IT might be asking – are chatbots a passing fad or are they here to stay? Let’s look at the objective data on that, and see what direction the numbers point to.
Earlier this year, Salesforce.com released a major report entitled the “State of Service”. Nearly a quarter of their respondents (23%) said they currently use AI chatbots and nearly another third (31%) said they plan to use them within 18 months.
That represents a projected growth rate of 136% in the use of AI chatbots over the next year and a half. By any definition, that’s a viral trajectory.
Spiceworks published a report not long called “AI Chatbots and Intelligent Assistants in the Workplace”.
One question their survey asked was about utilization of intelligent assistants and chatbots by department. Guess which department uses chatbots more than any other? That’s right – IT.
Another question in that Spiceworks survey specifically asked IT professionals if they agree or strongly agree with a number of different statements. The statement IT professionals overwhelmingly agreed with more than any other was that AI will automate mundane tasks and enable more time to focus on strategic IT initiatives.
Those IT professionals Spiceworks surveyed were right. One of the biggest benefits of chatbots is that they automate many of the robotic, laborious tasks that humans shouldn’t be doing anyway. That frees up those IT professionals to work on more strategic and far more valuable IT initiatives. Which in turn makes those professionals more valuable to their organizations.
Why is offloading that tedious work from IT staff so important? Because Gartner has shown that the biggest budget item for IT Service Desks is personnel. Between 2012 and 2016, the average percentage of a service desk’s budget allocated to labor ranged from 84% – 88%. With digital transformations driving up the demand for IT support, there’s simply no way an organization can hire their way out of this situation, even if they wanted to.
The reality is that quality service desk personnel simply cost too much, and no matter how good those personnel are, they can only keep up with so much volume. At some point the laws of physics reassert themselves, reminding everyone that people simply don’t scale very well. Chatbots though, have infinite scalability.
That limited human capacity to scale, combined with the increased volume of requests for service desk support, is degrading end user experiences.
A 2016 Harvard Business Review Webinar titled “How to Fix Customer Service” revealed that:
- 81% of consumers say it takes too long to reach a support agent.
- 43% of customers try to self-serve before calling a contact center.
What that tells you is that waiting for human support has gotten so insufferable, end users are increasingly willing to remediate their own issues. All they need is for IT to enable a channel for them to do that.
What kinds of requests are keeping IT service desks so busy?
Well if you’ve attended any of our previous webinars you might’ve heard us cite a well-quoted statistic from Gartner that as much as 40% of an IT service desk’s call volume is nothing but password resets. 40%!
Another big drain on your service desk? Requests for ticket status updates. Those can comprise as much as 10% of a service desk’s call volume, and we’re citing ourselves (Ayehu) as the source on that.
How do we know? Well, Ayehu knows because our clients tell us which workflows have the biggest impact on reducing call volume to their service desks.
Therefore, if you can use a chatbot to automate just these two processes – password resets and ticket status updates – you could cut call volume to your service desk in half! That’s huge, and it will go a long way towards reducing your service desk ticket costs dramatically.
San Jose, CA and Campbell, CA — October 29, 2019 — Ayehu, a leader in intelligent automation, and Rulai today announced a partnership to deliver a self-driving IT issue resolution offering powered by AI. The Rulai integration goes beyond the limitations of traditional chatbot communication capabilities to deliver virtual service agents (VSAs) that complete IT service desk work.
“Let’s face it, people hate calling the service desk, experiencing long waits on IVR and sometimes waiting hours just to get a password reset,” said Gabby Nizri, CEO of Ayehu. “Ayehu and Rulai are disrupting the entire way the IT service desk works in enterprises today. Using the integrated solution, we eliminate the need for employees to call and wait for IT to solve their problems. Our chatbot VSA will perform these tasks, increasing productivity and employee satisfaction.”
IT service desk operation is extremely resource-intensive, with as much as 85% of the cost being labor according to some studies. Most of this work involves menial, repetitive tasks, that could easily be automated. This has led to the rise of chatbots, which can reduce the amount of human interaction considerably.
However, chatbots are often limited to basic interactions such as pointing the user to non-actionable static information pages, or at best, creating a well-formatted request that is then sent to a human operator for execution. Most chatbots use rule-based decision trees, have poor natural language understanding and limited ability to manage an ongoing dialog or execute a task. As a result, they are easily confused, and customers can become frustrated.
To address both limitations, Ayehu and Rulai have joined forces to create a solution that actually does the work.
Combining Rulai’s Level 3 Conversational Computing Platform with Ayehu’s intelligent automation engine, companies can turn chatbots into a Virtual Service Agent (VSA) – a workbot that has the ability to not only receive and communicate requests but complete and resolve them as well.
Rulai’s platform allows companies to build AI-based conversational chatbots that can manage non-linear dialogue, and that require no code to develop or deploy. Ayehu provides an intelligent automation engine that receives user intent from Rulai, and acts on it. No code is required to build workflows that integrate with the widest range of applications, changing the IT service desk experience for the end-users.
“Improving employee experience has become one of the top goals for CIOs,” said Marc Vanlerberghe, CEO of Rulai. “We live in an instant gratification economy. Like never before, employees demand fast, frictionless engagement with companies. The combination of our Level 3 Conversational Computing Platform and Ayehu’s intelligent automation platform creates a delightful and frictionless IT experience, available 24/7, 365 days a year, vastly improving the employee experience.”
By running the service desk autonomously customers can achieve as much as a 35% cost reduction, while reducing MTTR by 98% which makes the end user satisfaction higher than ever.
Ayehu’s Rulai integration is available immediately. Please contact firstname.lastname@example.org.
For more information, register for the upcoming automation webinar on November 13th:
Rulai and Ayehu Present: How to Create a Self-Driving IT Service Desk. Register here:
Ayehu’s AI-powered automation and orchestration platform is a force multiplier for IT and security operations, helping enterprises save time on manual and repetitive tasks, accelerate mean time to resolution, and maintain greater control over IT infrastructure. Trusted by hundreds of major enterprises and leading technology solution and service partners, Ayehu supports thousands of automated processes across the globe. For more information, please visit www.ayehu.com and the company blog. Follow Ayehu on Twitter and LinkedIn.
Rulai is a new Enterprise Conversational Computing Platform provider. Rooted in academia, the founding team has a combined 200 years of experience in AI research, published over 400 research papers and filed over 80 patents in advanced AI-based dialog management. It is the only SaaS platform in the market capable of supporting business teams in building Level 3 Virtual Assistants .
Enterprises in banking, insurance, retail, telco, and life sciences increasingly rely on human-centered automation to augment the work of customer service agents, as well as increase customer self service capabilities across sales and support. Rulai’s easy-to-use platform allows business users to create and evolve virtual assistants with support from IT. Rulai has been recognized by Gartner, Forrester, and Bloomberg, and was named to the Forbes 2019 AI 50 list.
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Ayehu’s codeless Intelligent Automation and Orchestration platform uses a drag-and-drop visual workflow designer to automate IT tasks in minutes.This saves 95% of the time spent remediating incidents, delivers a 35% cost reduction on repetitive manual tasks and cuts MTTR incidents by more than 50%.
Our 220+ Enterprise customers, including large MSPs such as Cognizant, Capgemini, and Accenture, are using Ayehu’s platform for its digital labor, increasing their operational efficiency by sending robots to work.