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Three Steps To Prepare The Enterprise For The Digital Workforce In 2020

Article originally published in Forbes Technology Council.

There’s no longer any uncertainty or ambiguity. Automation absolutely, positively will impact the way every one of us works. The degree to which that impact occurs will vary, but make no mistake: Humans in every industry and position, from warehouse workers to C-suite executives, will someday soon be working alongside digital workers (a.k.a. virtual agents).

Just what will this future digital enterprise look like? The answer to that lies in how organizations implement artificial intelligence.

The ‘How’ Vs. The ‘What’

For many workers, the way that automation and artificial intelligence technologies are adopted will be more effective than the technology itself. The same goes for organizations as a whole. To succeed in the digital age, business leaders must begin to shift their viewpoint from opportunistic to a more systematic approach. In years past, automating on an ad hoc basis was sufficient. Over time, however, that strategy led to silos that were not adequately governed, nor were they scalable.

The future of automation in tomorrow’s workplace must be rigorous and robust, policy- and data-driven, and, above all, enterprise-centric. In other words, it’s not so much about the “what” as it is about the “how.” This will be the main differentiator between organizations that succeed in achieving digital transformation and those that fall irreparably behind.

Three Steps To Success With Intelligent Automation

1. Build. New technologies like artificial intelligence and machine learning will inevitably affect some workers in adverse ways. This has always been the case, as people continue to be displaced from one economic sector to another. In fact, according to one estimation by McKinsey, up to 30% of the global workforce (and between 400 million and 800 million workers) could be displaced by automation by the year 2030.

But while some jobs will ultimately be eliminated, the current and ongoing technological innovation we are experiencing will simultaneously create new opportunities.

Perhaps it is more than fitting that a fictional Borg from the futuristic Star Trek series uttered the infamous words, “Resistance is futile.” Like it or not, AI and automation technologies are already having an impact on the workplace, and they’re not going away any time soon.

The future of work will ultimately belong to those individuals who are willing to embrace and leverage artificial intelligence to their advantage. This may come in the form of self-automation — that is, the foresight and desire to automate portions of one’s own job in the interest of productivity and efficiency. Organizational leaders can and should meet them in the middle by seeking out key employees who show promise, optimism and a willingness to adapt and reskill, if necessary.

Investing in human capital with the ultimate goal of developing an automation center of excellence will create a compromise between top-down mandated automation and bottom-up, enthusiastic support and participation. This is the ideal scenario and one that will drive ongoing innovation and success. Some key roles to focus on for the future include:

  • Automation architects.
  • Automation engineers.
  • Site reliability and DevOps engineers (SRE).
  • API product managers.
  • Data scientists.

2. Standardize. With the right people and teams in place, the next step toward leveraging intelligent automation for digital transformation should involve the standardization of processes and the creation of best practices.

To start, the focus should be on delivering continuous value rather than aiming for one major change. This is achieved via strategic increments.

Centralized governance will then help to ensure ongoing compliance and support future growth and expansion.

3. Invest. Many will find it surprising that technology is actually the final piece in the automation puzzle. This is due in large part to the old-school, opportunistic way of thinking. The new recommended approach is one that involves a strategic cultural change and focuses on people and processes first, and then tools and technology.

Once these first two factors have been determined, the search for the right automation platform can begin. Ideally, the criteria should include no-code or low-code solutions that are both robust and agile. This will enable the eventual proliferation of automation across the entire enterprise while also supporting the future growth and changing needs of the business and/or industry.

Closing Thoughts

What will the workplace of tomorrow look like? For human workers, it will be markedly different and require new skills and greater adaptability. For the enterprise, it will be a composite of real and artificial intelligence — humans and machines — working together toward a common goal of innovation and success.

Dare to take risks despite your fear. Organizations and their employees who approach these challenges with eagerness and optimism, a willingness to adapt and evolve, and the ability to strike the ideal balance between humans and machines will ultimately be the ones who rise to the top.

Building Intelligent Automation Into Your Organizational Culture

In order for intelligent automation to be truly successful and produce sustainable results, it can’t be a one-off project that is exclusive to the IT department. It has to be woven into the very culture of the organization and fully embraced across the entire company. But changing corporate culture is much easier said than done. How can you incorporate automation so that it becomes an integral part of the everyday work environment? Here are a few suggestions to get you started.

Get buy-in from top leadership. Cultural changes typically start at the top and trickle downward, so make sure that everyone in a leadership role within your organization understands the benefits of intelligent automation and why it’s so critical that it become a part of the underlying atmosphere of the company as a whole. Once they’re on board, it’s time to start leading by example.

Sell the benefits. If you want your company culture to embrace automation, you have to make everyone in every position aware of how it will benefit them directly. In other words, show what’s in it for them. Otherwise, you will lack the support needed to make the final shift. Remember, intelligent automation isn’t just about those running your help desk. Things like self-service automation also provide enhanced flexibility, autonomy and empowerment to the end-user. Get the message out.

Identify and address obstacles. Change management is challenging, especially when it involves the evolution of an entire corporate culture, but it’s not impossible. You just have to understand what’s standing in the way so you can overcome those obstacles. For instance, if your employees are scared that intelligent automation will make them obsolete, they will resist. You have to address and quell that fear head on by showing them the opportunities it will bring for new roles, such as Automation Engineer, and the ability to do more with less.

Incentivize and reward. Culture change happens much more smoothly and effectively when it’s not shoved down the throats of your employees. Instead of simply telling them and expecting them to adapt, make them a part of your company’s evolution. Not only will this help them better understand the reasons behind the change, but the buy-in will create a much stronger foundation for the shift across the board.

Keep it fluid. The beauty of intelligent automation, and technology as a whole, is that it’s constantly changing and improving. A corporate culture is much the same in that it should be something that can be molded and enhanced as needed. Keep an open mind and make modifications where necessary. As long as you’ve got a solid foundation to work with, the only direction you can go is up.

Have you been successful in weaving intelligent automation into your organizational culture? Please share your insight, advice and tips in the comment section below. And don’t forget to launch your free product demo of our Next Generation Automation & Orchestration platform, powered by AI. It’s something you must experience for yourself!

Is AI Killing Jobs….or Creating Them?

Ask a roomful of people how they feel about artificial intelligence in the context of jobs and you’ll undoubtedly received a mixed bag of responses. Some will undoubtedly express their concerns that AI is poised to destroy employment as we know it today. Others will take a more optimistic approach, viewing AI as a tool to help us work more efficiency and accomplish things we couldn’t do with human workers alone. Even the various analysts and economists range widely in their predictions of what role AI will ultimately have in the future of work.

The truth, as is quite often the case, lies somewhere in the middle. There’s no question that intelligent automation will eliminate some jobs, impacting just about every industry and sector across the board. At the same time, however, AI will create new jobs, both in categories we’re familiar with as well as many more that have yet to be developed.

AI = Job Killer?

Automation is nothing new. It’s a technology that’s been embraced and lauded by organizations for decades upon decades. The key differentiator here is the introduction of the word “intelligent.” It’s the cognitive abilities afforded by AI and machine learning that will ultimately enable businesses to optimize their use of human labor. And that’s where the shakeup will inevitably occur.

In fact, a shift has already begun – particularly in areas where the work is highly repetitive, regulatory intensive and prone to error. Why pay humans to perform work that could easily be carried out by an intelligent bot – especially when that bot is capable of understanding the meaning and context of the information at hand?

So, does this mean people are being eliminated from the workplace entirely? Not so fast. In fact, there are plenty of categories of employment that will remain relatively untouched by AI. For instance, many professional services categories will remain intact as they still require a level of responsiveness that cannot yet be replicated by artificial intelligence.

AI = Job Creator.

Studies indicate a surprisingly positive view of AI’s role and ultimate impact on tomorrow’s workplace. In fact, a recent survey revealed that 75% of U.S. workers do not view their jobs as being at risk of elimination – at least not within the next decade.

Additionally, the vast majority (87%) of workers say they wish their employers would automate more tasks and processes. Why? Because they recognize the promise that AI brings in terms of improved efficiency and increased productivity. In other words, most people understand that AI will make their work lives better, not worse.

But, what about those repetitive, error-prone tasks that are already being shifted from human to machine? Won’t those workers end up in the unemployment line? Not if they are willing to change gears. In fact, the rapid adoption of AI and intelligent automation is already creating exciting new roles and opportunities.

Part of the challenge here is that it’s difficult to fathom jobs and employment categories that may not yet exist. Thinking back 20 years, the concept of a role such as social media manager was completely foreign, yet today it’s something most organizations have. Likewise, looking forward 20 years into the future, there will undoubtedly be whole new sectors of the economy that do not exist today. And along with those emerging opportunities, human workers will also need to adapt and evolve.

Without question, the world is experiencing a revolutionary shift, thanks in large part to artificial intelligence technology. Thankfully, the magnitude of the impact that shift will have on the future of work is still largely within our control. Those who are at the greatest risk of redundancy can provide themselves with a safety net by proactively reskilling and reinventing themselves.

Not sure where to begin? Our Automation Academy is a great place to start. Enroll today!

Want to Innovate? Automate.

The key to innovation lies in the ability to quickly identify and resolve frictions. Easier said than done? Not necessarily – provided you have the right tools in your corner. That’s where the power of AI, machine learning and intelligent automation come into play. By leveraging these technologies, organizations will be better prepared to pinpoint roadblocks and pivot accordingly to unlock new opportunities.  The Process In order to identify issues in workflows, there needs to be a process put in place, and that process must involve mapping out the complete journey of that workflow from start to finish. Hidden within this flow of events is where you’ll find those gaps and imperfections. And chances are, the more detailed the workflow, the greater the number of frictions you will encounter. That being said, the more frictions you find, the greater the opportunities to innovate by solving those issues and streamlining those workflows. Upping the Ante The whole process of laying out a workflow and identifying problems is nothing new. In fact, it’s been employed by top organizations around the world for eons. The problem is, because this process has historically relied on human effort, it’s naturally prone to errors and oversights. Here’s where technology has become a real game-changer.  Not only does AI and automation dramatically speed up the process of monitoring workflows and identifying issues, thereby streamlining processes, but because it’s capable of providing users with improved access to knowledge, it’s empowering users to self-serve. The result is a powerful synergy between human and machine which is enabling enterprises to truly up the ante in virtually every area of operation. Automation = Innovation Thanks to rapid advances, not only are we able to use automation technology to explore and identify frictions, but artificial intelligence and machine learning can also present new and expanding solutions to those issues. This capability is becoming one of the most powerful tools for decision-makers, who no longer have to rely on fallible human suggestions, but can instead choose from recommendations derived from real, quantifiable data.   In fact, unlike human analysts, AI is capable of sifting through mountains upon mountains of raw data and then convert that data into invaluable insights and actions. With intelligent automation, we are able to gain a new understanding of what’s happening in both the physical as well as the digital arena, as well as the context in which these things are occurring. With these insights, we can then take action, whether it be by informing, alerting or closing the loop. If, in the past, we considered the question, “How can we solve problem A for person B,” intelligent automation changes the game by asking, “How can we automate this process and make it more intelligent?” As such, the solutions we’ll develop will ultimately take us beyond the human user to learn what’s standing in our way, predict and plan next steps and incorporate automated actions whenever and wherever it makes sense. By leveraging the power of intelligent automation, we are essentially shifting responsibilities from human to machine.  Putting Ideas into Action It’s easy to write about how AI and intelligent automation has become a game-changer in terms of innovation, but how can organizations actually put this into action? There are two critical questions to ask: •	Given your available data and existing assets, which behaviors, activities, processes or environments could be made more intelligent through automation? •	What, if any, gaps exist within those physical assets and data? Which devices, tools, applications and analytics capabilities could be added into the mix to capture data more effectively and further the goal of automating? When you incorporate intelligence and automation into your processes and operations, you’ll be able to expand your portfolio of ideas and identify newer and better opportunities as a result. And that’s where true innovation can be found.  Ready to get started? Download your free 30-day trial of Ayehu and put the power of AI and intelligent automation to work for you.

The key to innovation lies in the ability to quickly identify and resolve frictions. Easier said than done? Not necessarily – provided you have the right tools in your corner. That’s where the power of AI, machine learning and intelligent automation come into play. By leveraging these technologies, organizations will be better prepared to pinpoint roadblocks and pivot accordingly to unlock new opportunities.

The Process

In order to identify issues in workflows, there needs to be a process put in place, and that process must involve mapping out the complete journey of that workflow from start to finish. Hidden within this flow of events is where you’ll find those gaps and imperfections. And chances are, the more detailed the workflow, the greater the number of frictions you will encounter. That being said, the more frictions you find, the greater the opportunities to innovate by solving those issues and streamlining those workflows.

Upping the Ante

The whole process of laying out a workflow and identifying problems is nothing new. In fact, it’s been employed by top organizations around the world for eons. The problem is, because this process has historically relied on human effort, it’s naturally prone to errors and oversights. Here’s where technology has become a real game-changer.

Not only does AI and automation dramatically speed up the process of monitoring workflows and identifying issues, thereby streamlining processes, but because it’s capable of providing users with improved access to knowledge, it’s empowering users to self-serve. The result is a powerful synergy between human and machine which is enabling enterprises to truly up the ante in virtually every area of operation.

Automation = Innovation

Thanks to rapid advances, not only are we able to use automation technology to explore and identify frictions, but artificial intelligence and machine learning can also present new and expanding solutions to those issues. This capability is becoming one of the most powerful tools for decision-makers, who no longer have to rely on fallible human suggestions, but can instead choose from recommendations derived from real, quantifiable data.  

In fact, unlike human analysts, AI is capable of sifting through mountains upon mountains of raw data and then convert that data into invaluable insights and actions. With intelligent automation, we are able to gain a new understanding of what’s happening in both the physical as well as the digital arena, as well as the context in which these things are occurring. With these insights, we can then take action, whether it be by informing, alerting or closing the loop.

If, in the past, we considered the question, “How can we solve problem A for person B,” intelligent automation changes the game by asking, “How can we automate this process and make it more intelligent?” As such, the solutions we’ll develop will ultimately take us beyond the human user to learn what’s standing in our way, predict and plan next steps and incorporate automated actions whenever and wherever it makes sense. By leveraging the power of intelligent automation, we are essentially shifting responsibilities from human to machine.

Putting Ideas into Action

It’s easy to write about how AI and intelligent automation has become a game-changer in terms of innovation, but how can organizations actually put this into action? There are two critical questions to ask:

  • Given your available data and existing assets, which behaviors, activities, processes or environments could be made more intelligent through automation?
  • What, if any, gaps exist within those physical assets and data? Which devices, tools, applications and analytics capabilities could be added into the mix to capture data more effectively and further the goal of automating?

When you incorporate intelligence and automation into your processes and operations, you’ll be able to expand your portfolio of ideas and identify newer and better opportunities as a result. And that’s where true innovation can be found.

Ready to get started? Download your free 30-day trial of Ayehu and put the power of AI and intelligent automation to work for you.

3 Ways Intelligent Automation Can Save Your Legacy Systems

There are few things an IT executive dreads more than having to replace an outdated legacy system. You know…those ancient programs that hold some of (if not all of) the organization’s critical, “can’t survive without it” data. The reality for many companies is that these legacy systems remain the foundation from which all business processes function. Unfortunately, as these systems become increasingly challenging to manage and are no longer capable of meeting the changing demands of customers, they become a much bigger concern. Thankfully, with intelligent automation, replacing them entirely is no longer the only option.

Depending on the overall scale of an organization’s legacy systems, replacing outdated technology with newer, better systems can take months or sometimes even years. Add to this the increasing pressure to ensure a seamless and error-free data migration. Finally, and perhaps most importantly, customers and employees alike must be able to access the systems they need just as they normally would even while the replacement is occurring. One IT executive in the banking industry likened the replacement of legacy systems to “changing the engine on a Boeing 747 while still in flight.” In other words, it’s incredibly difficult and a monumental task to say the least.

In the past, replacing entire legacy systems could be avoided (along with the astronomical costs associated with such a feat) by offshoring or outsourcing. Unfortunately, this is not always feasible, especially for companies that have a significant number of users. Intelligent automation provides the ideal solution to legacy problems, regardless of business size or industry. Here’s why.

Intelligent Automation is FAST

Let’s say a competitor of yours has come out with a new and improved feature to serve customers that your legacy systems unfortunately do not have the capacity to support. Rather than scramble to find a solution and waste valuable time in the interim, intelligent automation can help bridge the gap, either temporarily or as a long-term solution. Considering the fact that the legacy replacement process typically takes years to complete, automation powered by AI provides a much faster solution, allowing your company to remain competitive at all times.

Intelligent Automation is SECURE and SCALABLE

One of the biggest downsides to outsourcing is the loss of control and subsequent increased data security risk associated with giving up that control. Because intelligent automation is an in-house solution, all of your sensitive data remains in the full possession of your IT department. This makes it an inherently more secure option. Additionally, unlike offshoring, with intelligent automation you can easily scale up or down at a moment’s notice based on need.

Intelligent Automation is AFFORDABLE

The reality is, many organizations have been built upon old systems that date back to the 70s and 80s. For many, these ancient relics are simply too expensive to replace. Intelligent automation provides an affordable alternative, allowing businesses with any budget to break the chains that once bound them to their outdated systems. This opens up the doors to virtually limitless possibilities.

Obviously there are certain limits to how much intelligent automation can revitalize legacy systems. For instance, this type of technology cannot actually alter outdated systems. It can, however, serve as an interim solution unless and until a full replacement becomes necessary. For many organizations – particularly those that do not have the means or resources to completely dismantle and replace their existing infrastructure, intelligent automation is well worth considering.

Experience it for yourself with a live product demo.

Automation-Driven Employee Onboarding – From Days to Seconds

Author: Guy Nadivi

It’s really true. Automation-driven employee onboarding can reduce the time that process takes from days to seconds. Actually, in some cases, we’ve heard that at some organizations, onboarding is measured in weeks, not just days.

I was at a VMworld conference in San Francisco a few years ago, and struck up a conversation with someone visiting our booth who said that prior to automating their employee onboarding process, it took them 2 weeks to get new hires fully integrated into their company!

When you calculate the cost of the people involved in onboarding that new hire, as well as the productivity time that new hire lost by not being fully onboarded faster, you quickly realize how expensive this process can be. The phrase “time is money” really applies to the onboarding process, which is why automating it frequently turns out to be such a big win for organizations.

According to the Society for Human Resources Management, more commonly referred to as SHRM, the average cost of onboarding an employee is $4,129. Of course, this is an average figure taken from a broad cross-section of companies and industries. Your mileage may vary. Maybe it’s lower. Or maybe it’s higher. MUCH higher.

That $4,129 figure is taken from a 2016 report published by SHRM, and was the most recent number we could find about the cost of onboarding from an independent, reputable source. One thing you can be almost 100% certain of though is that now, towards the end of 2019, that number has likely gone up even higher. How high is hard to say, but there’s no reason to believe that the cost of onboarding employees has gotten any cheaper the last 3 years.

If you’d like to calculate what the cost of onboarding an employee is for your organization, I encourage you to Google “employee onboarding calculator“, and you’ll find numerous websites that can help you determine what your cost is.

There’s probably a pretty good chance that no two organizations have identical onboarding processes. Everyone’s is just a little bit different. Or perhaps A LOT different.

Despite that, there are some aspects to onboarding that are probably universal across most, if not all organizations.

  • First off, onboarding is typically laborious. Many different things need to be done in order to successfully onboard a new hire, and often times these things are primarily manual processes.
  • Onboarding often touches many different things across multiple departments – HR, IT, Facilities Management, etc. The more things your onboarding process touches, the more things that can go wrong, especially if they’re done manually where the potential for human error is always lurking in the background. That’s just a basic application of Murphy’s Law.
  • The process of onboarding can be very time consuming, particularly when some or even all of it is manual. This is true not just for the new hire being onboarded, but also for the people involved in the new hire’s onboarding.

And what are these laborious, error-prone, time-consuming processes I’m referring to? Here’s a list of some, but by no means all, of the tasks involved in many typical onboardings:

  1. Order new employee’s IT equipment
  2. Create new employee’s Active Directory account and  email
  3. Add new employee to calendar and  mailing lists
  4. Create new employee’s logins for primary systems they’ll use
  5. Provision new employee’s virtual machine(s)
  6. Email new employee all new hire documents from HR, including I-9 and W-4 tax forms
  7. Order new employee’s business cards
  8. Submit request for new employee’s office key and/or ID badge
  9. Create new employee’s IP phone (using API calls to Cisco Unified Comm. Manager, for example)

Guess what? In general, all of these tasks can be automated, saving a lot of work, a lot of time, and a lot of mistakes.

Doing so has some surprising benefits for an organization.

According to SHRM, 69% of employees who experienced great onboarding were still with the company after 3 years!

Now think back to the average cost of an onboarding, and ask yourself – how long would a new hire need to stay at my organization in order for us to break even on them? Hopefully it’s become a little clearer why the better the onboarding experience for your new hires, the more positive financial impact it can have on your organization.

That’s particularly true when it comes to onboarding executives and other high-pay employees.

According to a Harvard Business Review that polled global executives worldwide about their onboarding experience, nearly one third (32%) said their onboarding experience was POOR.

Why does that matter?

It matters because the cost to an organization of replacing a failed executive as a percentage of his or her salary is 213%, according to the Center for American Progress.

If your organization is hiring a highly-paid employee, you really want to make sure that it’s not only the right person, but someone who’s going to stick around long enough to justify the investment in hiring them. Otherwise, it might be much more expensive to lose them.

Now specifically with regards to automating your employee onboarding, here are probably the top 3 benefits:

  1. You’re going to save time, and when it comes to onboarding, the savings often will not be measured in hours but in days or weeks! BTW – I recently learned from Lee Coulter, the Chair of the IEEE Working Group on Standards in Intelligent Process Automation, that a better way to describe time saved by automation is “Hours Returned to the Business”. I think that’s very applicable to automating the onboarding process.
  2. You’re going to save money, that’s not only a result of saving time, but a product of longer retention for new hires.
  3. Finally, you’re going to reduce errors. The more things you do manually, the more opportunities you have for errors. Plain and simple.

Collectively, all these benefits contribute to a KPI that’s become increasingly important to how your department is graded, and in many cases compensated, at least bonus-wise.

I’m talking of course about customer satisfaction ratings. At a lot of organizations, this has become the central metric, or at the very least an extremely important one, for rating performance.

Automating the onboarding process will undoubtedly improve your customer satisfaction ratings.

Here’s something else to consider.

For many organizations out there these days, a good chunk of their new hires are younger employees. I’m talking about the millennial generation, of course, but also early members of the next demographic wave, often referred to as Gen Z.

You probably know that these generations have been raised on Facebook and mobile apps, and generally prefer interfacing with technology rather than people. We know that empirically because we see it for ourselves just about anywhere we look.

A 23-year old young lady in my own family told me that she and her friends consider books to be weird. Books apparently are weird because why would you read something written on processed dead trees when you could just use a smartphone and pull it down from the cloud?

So automating the onboarding process for this demographic is likely to be a bigger factor than you might realize in retention of younger employees. If their first impression as new hires at your organization is that you’re having them do things manually, you’re likely to persuade them that your organization may not be the kind of digitally transformed, progressive environment they want to be working at for 8+ hours a day.

Finally, it’s also worth mentioning that if everything discussed up till now applies to onboarding, then it also applies to offboarding, which is basically the same process in reverse.

This is especially true in the case of layoffs when you have a large volume of people who all basically have to be offboarded simultaneously. That’s a recipe for chaos when done manually, but a routine garden-variety process when it’s automated.

Automating the offboarding process also ensures you’ll have properly documented audit logs for compliance and internal review.

Both the onboarding and offboarding processes tend to be low-hanging fruit at most organizations, when it comes to automating procedures that yield big benefits quickly.

Get fast return on your intelligent automation in these 5 areas.

Get fast return on your intelligent automation in these 5 areas.

Without question, intelligent automation has made a significant and permanent impact on the tech world. This technology has essentially provided IT professionals with the ability finally accomplish what they’ve been challenged with for decades: maximizing performance while minimizing costs. Now, routine time-consuming tasks as well as complex workflows can be streamlined and handled almost exclusively without the need for human input. In short, automation has changed the face of IT for the better.

Still not convinced? Let’s take a closer look at five specific areas where intelligent automation can produce the greatest benefit and fastest return, both for your IT department and your enterprise as a whole.

IT Organization – The old way of doing business involved individual silos and separate departments. In today’s digital age, the most successful organizations are the ones that are able to harness technology to break down these barriers and bridge the gap between departments and functions, effectively promoting collaboration and fostering innovation. Intelligent automation can provide the tools necessary to achieve this type of organization.

IT Infrastructure – In order for a business to function cohesively across all departments, there need to be streamlined and standardized procedures and technologies in place. This includes best practices, virtualization, cloud computing and more. When this type of environment is created, intelligent automation can then provide the opportunity for your tech team to leverage their expertise and improve skill levels for the maximum benefit of the department and the company in its entirety.

IT Support – Support that is enhanced with intelligent automation can ensure roll-out, implementation and adoption of best practices. It can also improve processes, such as migrations, ensure more effective enforcement of compliance requirements and ultimately boost service levels across the board.

IT Operations – With more pressure being placed on IT professionals to not only manage their specified workflows, but also possess an in-depth understanding of overarching business practices, these workers must find a way to become better-equipped to meet these demands. Intelligent automation can help by allowing operations the optimal allocation of resources so that personnel can focus on furthering their education and expertise.

General Routine/Repetitive Tasks – Those every day, repetitive manual tasks that your IT department is buried under are inevitably costing your business money. Workflow and self-service automation options can alleviate this concern by taking the burden off the IT team. Not only can this vastly improve efficiency and productivity, but it can also cut costs in the long run.

With demands on IT professionals increasing at a rapid rate, the need for enhanced technological solutions has never been greater. Intelligent automation can help your organization meet these evolving needs so you can remain competitive and achieve ongoing success, both now and well into the future.

Curious to find out how your company could benefit from intelligent automation? Check out the top 10 automated processes below and get started with a free product demo today.

5 Ways Intelligent Automation is Shaping the Future of Work

5 Ways Intelligent Automation is Shaping the Future of Work

In terms of disruptive technology, intelligent automation has gained tremendous ground. In fact, according to Statista, more than half of today’s business leaders say they expect to implement automation in the coming years. And for good reason. While technologies like traditional workload automation, cloud computing and Software-as-a-Service (SaaS) reduce costs and provide the flexibility to perform routine tasks and workflows, artificial intelligence (AI) brings these benefits to a whole new level with the capability of performing tasks that normally require human intelligence.

Intelligent automation software enables businesses to perform much more diverse and complex activities without the need for human intervention. Furthermore, thanks to machine learning algorithms, this type of platform is capable of learning and improving entirely on its own based on data from past experience. Artificial intelligence can also provide valuable insight and decision support for management. But how does all of this translate into actual, tangible return on investment? Let’s take a look.

Drastically Saving Time and Money

When a good portion of business processes are shifted from human to machine, the operation runs far more efficiently. Work is performed faster and more accurately, which equates to greater productivity and higher service levels. Fewer man hours results in tremendous savings for the organization. (In one recent case study, one global enterprise slashed man hours by 1,500 in less than a year simply by adopting intelligent automation. That reduction resulted in an overall savings of nearly $500k.)

Distinct Edge Over the Competition

Staying a step ahead of the competition is the key to success – especially in today’s global marketplace. Every company is chasing digital transformation and hoping to claim their spot at the head of the pack in their respective industry. The use of intelligent automation can facilitate this transformation, not only be streamlining processes, but by empowering human workers.

When the mundane tasks and workflows no longer require human input, employees are able to apply their skills, time and effort toward more important business initiatives. The freedom to be creative breeds innovation which can provide the competitive advantage companies are striving for.

Agility and Scalability

The ebb and flow of business has long been a challenge for organizational leaders. Scaling up as needed based on sudden changes in market demand is not only difficult, but it’s also quite costly. Conversely, in situations when finances are lean, such as during economic recessions, the ability to maintain an expected level of production on a limited budget is incredibly problematic.

The deployment of intelligent automation resolves both of these issues by enabling businesses to scale up or down at a moment’s notice. Seasonal or other business influxes can be met seamlessly thanks to the ability of software robots to take on some of the workload. And when it comes time to tighten the belt, automation can help skeleton crews operate as if they were fully staffed. Every business leader understands the importance of agility like this.

Maximizing Uptime

Another way intelligent process automation can deliver tangible benefits to a company is through improved system operability. According to Gartner, the average cost of IT downtime is $5,600 per minute. Due to variations in how businesses operate, experts estimate that on the low end, downtime can cost as much as $140k per hour, while at the high end, can run upwards of $540k per hour.

Regardless of which end of the spectrum a business happens to fall on, system outages can be, without question, downright disastrous. Enter intelligent automation and suddenly there’s an army of robots monitoring the infrastructure 24 hours a day, 7 days a week, 365 days a year. Furthermore, artificial intelligence is capable of identifying threats that could take days, weeks or longer for humans to spot. When incidents can be pinpointed quickly and the platform itself is capable of addressing and remediating those issues, downtime can be dramatically reduced and, in many cases, prevented altogether.

Data-Driven Decision Support

Because intelligent automation is powered by AI and machine learning, it is inherently capable of analyzing massive amounts of data and extracting value. Furthermore, AI-powered automation can then turn that data into actionable insights that can be utilized by business leaders to make better decisions.

Incorporating advanced business automation technology into the mix enables the analysis of overall organizational performance. With these intelligent analytics, business leaders can more effectively identify and implement the right approaches to achieve improved performance over the long-term.

Could your organization benefit from any of the above? If so, adopting intelligent automation should be on your list of priorities for the coming year. Get a jump start by taking Ayehu for a test drive today.

The future of work is here. Using intelligent automation to work SMARTER, not harder.

intelligent automation - work smarter not harder

Process automation is most often leveraged as a tool to replace the need for humans to perform routine, repetitive manual tasks. Beyond this, however, intelligent automation powered by machine learning capabilities can be leveraged to continuously optimize work and improve business outcomes. Imagine what your organization could do if all the simple but necessary daily tasks were shifted from humans workers to software robots. Now imagine how you could scale up or down instantly based on workflow demands, without the expense or hassle of adjusting personnel numbers.

Regardless of where you stand on the concept of intelligent automation, it is widely acknowledged by experts across every industry to be a central component of the future of work. Business leaders and decision makers view intelligent automation as highly beneficial due to its ability to maximize output while also minimizing costs. On the other side of the coin, however, many front-line workers are resistant to automation as they view artificial intelligence as a threat to their future and livelihood.

The biggest question that plagues businesses still remains whether or not intelligent automation will eliminate the need for human workers altogether. There is no easy or straightforward answer to this question. In reality, some jobs will inevitably be eliminated. In fact, there are certain industries, such as banking, in which AI has already had a significant impact on staffing levels. The fact is, job elimination is not the goal of automation. Rather than replace humans, this technology should be viewed as a tool for augmenting them (more on that here).

The goal of intelligent automation is to create a better user experience at every level. From an employment standpoint, it’s about leaving the grunt work for the computer to handle and leveraging artificial intelligence to analyze and use data for improving operations. Increased internal efficiency leads to cost savings and ultimately a higher level of employee satisfaction. Externally, tools like virtual support agents, proactive problem solving and faster resolution will dramatically improve customer engagement and happiness.

For now and well into the foreseeable future, intelligent automation should not be seen as a threat, but rather something that will free up intelligent and experienced workers to be able to apply their creativity and problem-solving skilled to more important issues that cannot (yet) be handled by technology alone. Beyond this, the increased adoption of automation will also open up new roles that did not exist 10 or even 5 years ago. So while some jobs will become obsolete, other opportunities will replace them.

In today’s highly-competitive world, organizations of every shape, size and industry are battling to stay ahead of the curve and remain profitable. Intelligent automation provides the solution, allowing businesses and their employees to work smarter, thereby improving their chances of achieving continued success well into the future.

Is your staff working as smart as they could be? Learn how automation can be the key differentiator. Launch your free product demo and experience the power of artificial intelligence for yourself today.

Ayehu

Ayehu’s New Advanced Features in NG v1.5 [Webinar Recap]

Author: Guy Nadivi

In response to growing user requests to add more flexibility to the Ayehu NG automation platform, Ayehu has released NG v1.5. This release will significantly expand the scope of what you can automate in your environment, all from a single pane of glass, and we think that makes it a real game changer in the IT orchestration and automation market.

If you’re an existing user of Ayehu NG, or even if you’re just thinking about trying us on for size, you probably know that one of the core strengths of our solution is how easy and quickly you can plug Ayehu into various ITSM platforms, cyber security tools, operating systems, messaging and notification tools, and increasingly chatbots and AI services. Almost all of these integrations can be activated seamlessly without writing a single line of code.

And the purpose of providing you with all these pre-built integrations and connectors that make up our ever-expanding ecosystem, is to simplify your ability to orchestrate automation across any platform in your environment. All from a single pane of glass!

So, here’s what’s really exciting about this new version of NG. We’ve added a “Do It Yourself” capability to allow you to build your own platform-specific activities without the need for Ayehu to do it for you.

From the feedback we’ve received, that’s really going to appeal to those of you who aren’t afraid to roll up your sleeves, do a little coding, and craft your own specific intelligent IT automation activities.

In fact, when you see how easy we’ve made it to build your own activities, we think some of you non-coders might even be tempted to take a crack at it yourself and perhaps fulfill some aspirations on your personal automation wish list.

Without further ado then, let’s dive into what’s new in our latest release of NG, v1.5:

  • Activity Designer – This is the big one. It’s a new feature designed to give users the option to build their own activities, which marks the first time they’re not relying on us to build an activity. You already know we provide an Out-Of-The-Box library of more than 500 no-code, pre-built activities. With the Activity Designer though, customers can now independently develop or modify existing activities in Python, C# or .Net to extract further value through customization that meets specific needs.
  • GitHub Community Repository – Ayehu now has a new community on GitHub that contains more than 100 of Ayehu’s workflow templates, as well as source code for built-in activities. Customers can use this in conjunction with the Activity Designer to create custom activities based on existing pre-built workflows. The GitHub Community Repository also provides free access to other peer-developed workflow templates and activities which have already been created and contributed to the community. 
  • Ayehu Academy Advanced Courses – We now have two new Ayehu Automation Academy courses – Activity Designer Essentials and Advanced Activity Designer. Together, these courses help train and certify developers in creating new activities using the Activity Designer. The Academy has already certified nearly 1,000 IT automation engineers since its inception earlier this year.

Let’s talk a bit more about the Activity Designer.

Typically, when building a workflow you simply drag and drop activities onto a canvas, and position them in the order you want them to execute. There’s no coding, scripting, or programming of any kind required. All you have to do is configure any particular activity by entering some parameters into a popup window, as shown in the image below:

With the new Activity Designer, you can build your own activities from scratch, in Python, C#, or .NET. We believe this will typically be for a system we haven’t integrated yet, perhaps some home-grown in-house application. But it can also be used to create new custom activities for an existing integration, like ServiceNow or SolarWinds. This is a big deal because now organizations will be able to take previously unintegrated systems and incorporate them into enterprise-wide orchestration and automation via Ayehu’s single pane of glass. The Activity Designer interface is shown in the image below:

Ayehu’s GitHub Community Repository marks an expansion of our presence on GitHub’s open-source community, and can be seen at this link: – https://github.com/Ayehu

At the repository, you’ll find:

  • 100+ Ayehu workflow templates
  • Source code for built-in activities

There are many benefits to our users from this new repository, including:

  • Shorter time to value through reuse of existing, pre-built workflows
  • Shorter time to value thru customization of open source activities
  • Free access to peer-developed workflow templates and activities

Here’s an example. If we want to see what kinds of workflow templates are already available for Cisco devices, we can just click on the Cisco category, and drill down to all the workflow templates you can access that are Cisco-specific, as seen in the image below:

These new features are also accompanied by new advanced courses created for the Ayehu Academy, which can be found on our website ayehu.com under the Customers menu.

The two new Ayehu Automation Academy courses are:

  • Activity Designer Essentials
  • Advanced Activity Designer

Together, these courses help train and certify developers in creating new activities using the Activity Designer. 

Ayehu recommends getting certified because your new knowledge will enhance 2 areas of interest:

  • Your organization’s automation capabilities
  • Your own personal professional standing.

Furthermore, as this market continues to grow, we anticipate new income opportunities will be created for Certified Activity Designers. The Academy has already certified about 1,000 IT automation engineers despite only opening earlier this year. That’s a reflection of the growing interest in automation, and if you’re one of those IT automation engineers, you’ve positioned yourself very nicely for the growth curve ahead.

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