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7 Key Business Benefits of Intelligent Automation

Intelligent automation is being adopted and implemented in businesses of every industry. Still, there are some decision makers who are on the fence about whether it’s worth the investment. If you are among those who aren’t 100% certain, let’s take a look at a few of the quantifiable benefits AI-powered automation can provide to your organization.

Cost Savings

One of the biggest advantages of intelligent automation is the immediate and significant reduction in expenditure it can deliver. When work is automated, not only is it completed faster, but it also can be performed round-the-clock at a much lower rate. So, you get greater output for less, which results in a better bottom line.

Quality, Accurate Work

Let’s face it. Even the most careful human can and will make an occasional mistake. Multiply those errors by the number of people you have performing routine tasks for your company, and you could be looking at a pretty costly problem. With artificial intelligence, the work is performed error-free. Better quality means higher satisfaction rates, which – again – is good for your company’s profitability.

Enhanced Cycle Time

How long does it take a human worker to perform a given task such as completing a web form? Even if it’s mere minutes, an intelligent robot could shave that time down to just a few seconds. Over time and multiplied by dozens of tasks and several staff members, this savings really begins to add up.

Employee Empowerment

Intelligent automation does not require any special technical skills. That’s why it’s an ideal application for the end-user. The ability to deploy robots to perform certain tasks without having to enlist the help of someone from IT empowers the end-user to get their jobs done more efficiently and effectively. Meanwhile, it frees up IT to focus on more important tasks and projects.

Simplicity and Flexibility

Automating tasks and workflows through Ayehu’s AI-powered automation does not require coding or script-writing. That means even complex processes can be transferred from human to machine with little effort. The faster these tasks and workflows can be automated, the sooner your organization will begin reaping the benefits. In other words, intelligent automation delivers quick returns.

Better Control

Many companies choose to outsource so-called busy work to external parties. This, of course, comes with inherent risk. Intelligent automation can provide a better solution and since the work remains in-house, the business maintains maximum possession, control and visibility.

Insights and Analytics

Learning from the past can help your business leaders make better decisions for the future. Machine learning algorithms offer the ability to gather, organize, track, analyze, report on and store valuable data. That information can then be utilized to improve on current operations, address and correct issues in a timelier manner, accurately forecast and develop best practices.

Still not convinced that intelligent automation is a beneficial solution for your business needs? Why not try it for yourself? Click here to start your free trial of Ayehu NG today.  

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How to Build an AI Team

Once viewed as a technology of the distant future, AI is quickly becoming an integral component of many an IT/business strategy. The rapid advancement of data science and machine learning technology, combined with the accessibility and affordability of artificial intelligence platforms in the cloud, are enabling companies in every industry to uncover new ways to extract business value from data. But in order to fully capitalize on AI, an organization must first assemble a strong team. Let’s take a look at three steps for creating such a team in your business.

Learn what successful AI looks like.

When establishing a department dedicated to AI, it’s important to recognize that successful artificial intelligence initiatives require a variety of different roles and skillsets. If you are focused solely on one role – data scientist for example – you will almost assuredly come up short. Instead, take a more well-rounded approach paying particular attention to three distinct areas: a person (or people) who can generate data, a person (or people) who can interpret that data, and a person (or people) who can make judgments about that data.

Recruit/train (and retain) top talent.

It’s no secret that skilled AI professionals are in high demand. In order to develop a good AI team, recruitment and retention are key. The good news is, you don’t necessarily have to look outside of your company to do so. In fact, developing AI talent from internal staff can be just as, if not more effective – particularly given the talent shortage. Investing in training and upskilling can produce a higher return on your investment than external recruiting.

And remember, it’s not just about assembling a team. You also need to focus on keeping turnover at bay. Offering things like professional development and autonomy can make long-term employment with you more attractive.

Tap freelancers.

What if your company simply isn’t prepared or doesn’t have the budget to hire a Ph.D. in computer science? What if your existing staff is too small, doesn’t have the potential or lacks the bandwidth to recruit internally? There are still other ways to get started with AI. Some organizations have had tremendous success hiring artificial intelligence specialists via online talent marketplaces, like Upwork. By eliminating the need to hire in-house, and all the ancillary expenses that come with such an arrangement, you can tap into global AI talent at an affordable price.

With Gartner forecasting that 85% of CIOs will be piloting AI projects by the year 2020, it’s abundantly clear that artificial intelligence is the way of the future. Having a team of skilled individuals dedicated to your AI initiatives can help you maximize the long-term benefits and give your organization the competitive advantage it needs to thrive in the digital era.

Ready to get started with AI but not sure how? For a limited time, we’re offering a free trial of Ayehu’s Next Generation Intelligent Automation platform. Use the full product for 30 days and don’t pay a penny. Get yours before it’s too late!

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Overcoming the AI Talent Shortage

Artificial intelligence has become a huge contributor in the battle for digital transformation. In fact, according to a recent PwC report, global GDP could reach up to $15.7 trillion as a result of AI. But no organization can fully realize the value of this technology without adequate talent at the helm.

The PwC report goes on to point out: “If your business is operating in one of the sectors or economies that is gearing up for fast adoption of AI, you’ll have to move quickly if you want to capitalize on the openings, and ensure your business doesn’t lose out to faster-moving and more cost-efficient competitors.’’

Thanks to this rapid development and adoption, however, many companies are now dealing with an AI talent shortage. This problem exists even in sectors where adoption is slower or the potential for disruption is lower. In fact, staffing skills are the number one challenge for the majority of CIOs looking to adopt AI. The firm also predicts that by the year 2020, 85% of CIOs will be piloting AI projects. In order for that to happen, something has to give.

Roles will evolve, but the need for people will remain constant.

There has long been whisperings that artificial intelligence will eliminate jobs and replace human workers. But while some tasks will certainly be shifted to machine, the need for humans will still exist. They will simply need to master new skills that will enable them to work alongside AI. Those skills, which cannot be replicated by machines, include creativity, communication, leadership and emotional intelligence.

Meanwhile, the demand for data scientists, AI and robotics engineers and other experienced tech specialists continues to grow, and at a fast pace. Unfortunately, given the rapid rate of change and low barrier to entry, these talented individuals are becoming harder and harder to come by. As a result, forward-thinking organizations are focusing their efforts to helping existing employees develop the skills they need to navigate the changing workplace landscape.

Building a Pipeline

One way that organizations are addressing the shortage of AI talent is to establish relationships with resources such as universities and trade schools. This enables them to engage in learning projects, become involved through speaking and mentorship and – most importantly – tap into emerging talent at an early stage, before students enter the workforce.

Internships provide valuable real-world experience and the opportunity to hone their skills and network with other like-minded professionals through meaningful, hands-on projects. The company benefits through the development and ongoing growth of a talent pool from which to draw. It’s a win-win.

Development from Within

The beauty of AI is that it’s a technology that can draw interest from individuals with many different backgrounds. For instance, people with strengths in math, statistics and engineering make excellent candidates for working with machine learning. As such, many companies are discovering that they are already sitting on a gold mine in terms of sourcing talent for their AI initiatives. Internal training and development can be an incredibly effective alternative to external staffing efforts.

For those organizations that lack existing talent or simply don’t have the capacity to transition current employees into new AI-related roles, there is also the option to hire for soft skills and train for the rest. For instance, many futuristic leaders are seeking out candidates that are highly collaborative, possess aptitude and are open to learning new things. Once hired, they can then work on growing AI experts from within.

Closing Thoughts

Whichever way you look at it, the AI talent shortage is very real and it’s not something that can easily be solved, at least not for the foreseeable future. Organizations looking to adopt AI and work toward digital transformation must begin thinking outside the box to solve their staffing needs. In many cases, that means making connections, nurturing relationships and building talent in-house.

If you are interested in adopting artificial intelligence for your business, a good place to start is with a great tool. Take our Next Generation AI platform for a test-drive, free for 30 days. Click here to get started.

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Is Intelligent Automation Really Replacing Human Workers?

When intelligent automation first hit the market, some thought it was too far-fetched to ever become a reality. But as more and more organizations began recognizing the many benefits – from increased productivity and efficiency to lower costs and fewer errors – people started worrying, wondering whether this technology would spell the end of the human workforce as we knew it. Would artificial intelligence really start taking over jobs? To answer that question, those asking it must look inward.

In reality, the impact automation has on the workforce will depend largely on how humans themselves respond. When faced with the rising adoption of AI, workers will likely take one of two paths. The first group will continue to focus on the type of work they’ve always done, but do so more efficiently thanks to the assistance of machine learning. The second will take this as a golden opportunity to pursue their ambitions, further their education to broaden their skill sets, put their creativity and innovation to work and move on to more value-added, meaningful work. In either case, the organization will benefit, as will most of the employees.

In particular, roles that have a primary focus on people, such as customer support and HR, have the potential to benefit greatly from intelligent automation. Instead of being bogged down by repetitive, menial tasks that can easily (and more quickly) be handled by software, agents will be freed up to tackle more complex issues requiring a human touch. Furthermore, the improved allocation of resources afforded by AI will enable agents to prevent issues from occurring in the first place. This can dramatically improve both customer and employee satisfaction rating.

This concept can also be applied to the IT help desk. Rather than waiting until system problems arise and scrambling to fix them in a timely and effective manner, help desk agents can use the extra time automation provides them with to monitor and proactively address technical issues before they occur. Imagine how impressed the CEO will be when he gets a call from IT letting him know his hard drive was about to fail, but it’s been taken care of.

In both of these scenarios, the human worker is enhancing their interactions with their colleagues and/or customers. And since intelligent automation is there to take on the routine, manual tasks, the human agents themselves are also able to improve.

The reality is, very few organizations are focusing on using AI to eliminate jobs. Instead, they are focused on automating tasks, which in turn will improve productivity, streamline how work is completed, eliminate errors and cut costs. In other words, companies implementing automation are not doing so to replace human workers, but rather to augment and make their lives easier. As a result, everyone benefits – from employees and management to clientele and ultimately the organization’s bottom line.

Still not completely sold on the idea of intelligent automation and the value this technology can bring to your business? Don’t take our word for it. Try it for yourself. Click here to download a free 30 day trial of Ayehu. You have nothing to lose!

eBook: 10 time consuming tasks you should automate

3 Business Areas that are Ideal for Machine Learning

At the current rate, AI systems worldwide are on pace to hit nearly $50 billion in revenues by the year 2020. The proof is in the pudding. And if you’re not yet leveraging the power of machine learning, you can bet your competitors are. The good news is, you don’t need a massive budget or a team of experienced data scientists to start putting machine learning to use in your business. In fact, to follow are three practical areas where almost any organization can get started with ML technologies.

Internal/External Support

If you have an IT help desk for employees or a support team dedicated to customer inquiries, you have a great opportunity to leverage machine learning technology. Chatbots can be trained to handle everything from the most basic FAQs to complex issues, working in tandem with human agents.

Not only will a chatbot strategy free up your support staff to focus on more important business initiatives, but it’ll also improve service levels, so it’s a win-win. (Not sure where to start? Here’s a step-by-step guide to implementing bots along with some tips for what not to do.)

Cybersecurity

According to research by Ponemon, the average cost of a single ransomware attack is $5 million. And that’s just one strategy hackers use. If you think cybersecurity is not a big deal, think again. The problem is, cyber criminals are becoming savvier and using more sophisticated methods by the day. Staffing enough people to handle the onslaught isn’t just challenging. It’s next to impossible.

The good news is, machine learning can be used to augment your IT security team, providing an added layer of protection against potential breaches. Intelligent automation can work around the clock, constantly monitoring and analyzing mountains of data and identifying/addressing anomalies before they have a chance to wreak havoc.

Human Resources

While there are certainly areas of the human resources function for which a human touch is still needed, such as discussing sensitive matters with employees, the reality is, the vast majority of today’s HR processes and workflows can easily be automated.

For instance, machine learning algorithms can be used to weed through job applicants, saving recruiters time and aggravation, while intelligent automation can handle new employee onboarding far faster and more efficiently than a human agent could. To get you started, check out these 5 tips for optimizing HR with automation.

Of course, none of these things will be possible without the right technology. Thankfully, you don’t have to be an AI guru to leverage machine learning, nor do you have to hire a team of experts. In fact, you don’t even have to know how to code. Experience the power of plug-and-play intelligent automation by requesting an interactive demo of Ayehu or jump right in with your free 30-day trial today!

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4 Hallmarks of a Successful AI Project

According to a recent Deloitte survey, 82% of early adopters of artificial intelligence are already realizing positive financial results from their investment, with a median ROI of 17%. What’s the biggest differentiator between a successful AI project and an unsuccessful one? The focus of the project itself. Organizations that get the most out of AI tend to focus on the specific business objectives that are to be achieved. They then use those results to prove value and scale up from there. If you’re looking for ways to translate AI into business value, here are a few things to keep in mind.

Target actual problems.

Business leaders may recognize the value of using artificial intelligence, but using AI well is where the true value lies. To do this, you must keep the focus on the concrete business problems that you are trying to solve. For instance, will implementing AI help you accomplish something in a way that is faster or cheaper? Will it help you generate more revenue? Can it be scaled? Adding business value should be at the heart of every AI project.

Understand and acknowledge limitations.

Ask an AI system that is trained on a particular set of data to make predictions based on an entirely different set of data, and chances are you’ll get a response that is completely incorrect. For someone who’s come to rely on those predictions, it can be easy to veer off in the wrong direction. To avoid misleading conclusions and misguided decision-making, make sure employees are trained enough to know which analytics model is the appropriate fit for the corresponding data set.

Listen to stakeholders.

Going back to the first point, successful AI projects keep the focus on actual business problems. Unfortunately, the individuals and teams spearheading these initiatives don’t always have the best insight into what those problems and needs happen to be. That’s why it’s so important to gather feedback and insight from key stakeholders – i.e. those who will be directly impacted by AI. Engage in detailed discussions with all interested parties right from the outset. This will save time and improve the outcome of the project in the long run.

Don’t underestimate the value of real-world testing.

The definitive proof of your AI project’s value will only become evident once it hits the real world. If you’re not prepared for this, your initiative is doomed to fail before it’s even begun. And while real-world testing is important for most new technologies, it’s especially beneficial for artificial intelligence. Why? Because early exposure allows more time for the tool to learn, adapt and improve. The sooner you can bring your project live, the sooner you can increase its ability and, ultimately, your ROI.

Artificial intelligence holds tremendous promise for businesses of every size and industry. Unfortunately, most organizations aren’t adequately positioned to take advantage. As an early adopter, the four factors above should enable you to transform your AI projects into quantifiable and sustainable business value.

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4 Cybersecurity Trends to Plan for in 2019

It’s that time of year again – a time to reflect on the past while also looking toward, and planning for, the future. As it has been in years past, the topic of cybersecurity will remain at the forefront for business and IT leaders in 2019 and beyond. As attackers continue to become savvier and their assaults more sophisticated, the methods used to defend against them must also continue to evolve. Let’s take a look at four trends that are likely to become the focus of the security industry over the new year.

AI will play a bigger role on both sides of the fence.

As the volume and range of security threats continue to increase, it’s become abundantly clear that the best and only suitable defense will be artificial intelligence. This is especially true since, historically, cyber criminals have access to the same or sometimes even better tools as the security folks. The only truly effective way to combat cyber-attacks in 2019 will be to leverage AI-based security solutions. In other words, organizations must be prepared to fight fire with fire if they are to keep sensitive data safe.

Biometrics will become more widely adopted.

The Face ID feature of Apple’s iPhone X has made facial recognition relatively mainstream. Given the fact that passwords continue to be one of the most vulnerable areas of a business, we can expect to see biometrics become more widely adopted as a safer, more secure alternative. One brand leading the pack is MasterCard who will begin requiring biometric identification of all of its users beginning in April 2019.

Spear phishing will become even more targeted.

Cyber criminals understand that the more information they have about a potential victim, the more effectively they can design spear phishing campaigns. Some attackers are already developing newer and more disturbing ways to enact their plans, including hacking into a victim’s email system, lurking and learning. They will then use what they learn to create incredibly realistic messages that appear to be from a trusted source. Security personnel must remain especially vigilant to protect against these sophisticated and costly attacks over the coming months.

Advanced cybersecurity training may become a requirement for the C-suite.

The training surrounding cybersecurity will continue to advance and mature. As such, certifications may no longer be sufficient for a security professional to progress in his or her career – at least not at the upper management or C-suite level. This is supported by the growing number of degree programs that are devoted to cybersecurity. The companies of tomorrow looking to hire CSOs and CISOs will likely require some type of higher education as it relates to infosec.

What about you? Do you have any bold predictions about what the future has in store for cybersecurity? Tell us your thoughts in the comments section below!

Watch the full recorded panel discussion

5 Ways Machine Learning is Transforming the Business World

Today’s forward-thinking organizations are leveraging the power of artificial intelligence to automate the decision making process. In fact, corporate investment in AI is predicted to reach $100 billion by the year 2025. As a result of this rapid digital transformation, many changes are underway in the workplace. In particular, there are a number of ways that machine learning is already making an impact for companies in every industry. Here are a few to consider.

Personalizing the customer experience.

One of the most exciting benefits machine learning can have for businesses is the fact that it can help improve the customer experience while also lowering costs. Through things like deep data mining, natural language processing and continuous learning algorithms, customers can receive highly personalized support with little to no human intervention. And people are warming to the idea. In fact, 44% of US consumers say they actually prefer chatbots to human agents.

Improving loyalty and retention.

With machine learning, companies can do a deep dive into customer behavior to identify those who are at a higher risk of churning. This enables organizations to develop and implement next steps designed to target and retain those high-risk customers. The more proactive a company is in this area, the more profitable it will be over time.

Enhancing the hiring process.

When asked about the most difficult part of their job, corporate recruiters and hiring managers almost unanimously list the task of shortlisting qualified candidates for job openings. With dozens and sometimes even hundreds of applicants, sifting through and narrowing down the options can be a monumental task. Machine learning is fundamentally changing the way this process is handled by letting software do the dirty work, quickly identifying and shortlisting those candidates that are the best fit.

Detecting fraud.

Did you know that the average organization loses up to 5% of their total revenue each year due to fraud? Machine learning algorithms can be used to track data and apply pattern recognition to identify anomalies. This can help risk management detect fraudulent transactions in real-time so they can be prevented. This type of “algorithmic security” can also be applied to cybersecurity, leveraging AI to quickly and accurately pinpoint threats so they can be addressed before they are able to do damage.

Streamlining IT operations.

Another way AI and machine learning are revolutionizing how organizations operate is through intelligent automation. Powered by machine learning algorithms, agentless automation and orchestration platforms become force multipliers, driving efficiency and helping enterprises save time on manual and repetitive tasks, accelerate mean time to resolution, and maintain greater control over IT infrastructure.

Want to see machine learning in action? Schedule a free product demo today!

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The New Wave of Hybrid AI in the Automation Era – Insights from the Experts

Over the past few years, Gartner has made some pretty bold predictions surrounding artificial intelligence and automation technology. These include such projections as the generation of $2.9 trillion in business value, the recovery of 6.2 billion hours of worker productivity and the creation of some 2.3million new jobs. All of this is expected to take place over the next couple of years, if not sooner.

Whatever you believe about AI, one thing’s for sure – it’s not going away any time soon.In fact, all signs indicate that the not-so-distant future will look a lot different from what we are used to today, with machines performing not only the physical work of humans, but also the thinking, planning, strategizing and decision-making as well.

At Ayehu, we’re always trying to stay a step ahead of the curve in terms of technology and its capabilities. Such was the purpose of our recent panel discussion entitled The New Wave of Hybrid AI in the Automation Era, during which we sat down with several AI and automation thought leaders, including:

We asked these experts to take a look back at some of the emerging trends observed and experienced in 2018 and offer a glimpse into the future. We also asked each of our esteemed panelists to go out on a limb and make a bold prediction for 2019.

Here’s a little taste of what we uncovered.

Evolution in IT Operations

One of the first topics touched upon by our own Brian Boeggeman centered on the creation of automation centers of excellence (COE) and the automation engineers that are driving adoption and proliferation of automation within the enterprise.

“We saw a trend taking place this year where there’s a lot of focus put on the creation on these centers of excellence to really drive automation,” said Brian. “Automation is clearly seen as a business imperative and a clear necessity in order to orient the next phase of enterprise operations, where efficiencies can be uncovered and realized across the business.”

He continued, “Those automation engineers effectively become the change agents within the organizations to drive that cultural change within the enterprise. As we engage with many of our customers, we’re continuing to see that as a high focus for them actually making investments to build out these COEs to push across the entire organization and enterprise as a whole.”

Brian also talked about the acceleration and creation of new services through automation and AI, pointing out that automation has emerged as a key strategy to achieve the delicate balance between innovation and operational excellence.

Download the on-demand recording to learn how to unleash new capabilities of human capital as well as what trend Brian believes will forever change the service levels and operating capabilities of organizations.

How AI and ML are Impacting the Adoption of Automation in the Enterprise  

Next, we turned the floor over to Manish Kothari, who has been involved with artificial intelligence and machine learning since the 70s. Manish opened his statement by pointing how critical data is to extracting the full value of AI.

“I think we’re starting to see a very big transformation take place across all sectors from agriculture, to consumer, and especially in IT where the need is arguably one of the highest,” Manish commented.

He went on to say: “If you are at the IT infrastructure side, you are, actually for one of the first times, really in a position to become an enabler rather an impediment to innovation.”

Manish also shared his insight on what enterprise managers who have never dealt with AI should know before deploying it and how he envisions the roles of managers changing once AI begins to get a foothold.

Find out everything that Manish had to say here.

Top Reasons Organizations Should Automate IT Operations

The next topic on the agenda was turned over to Andrew Brill of Change Healthcare, who was asked to share his thoughts on the top reasons for automating ITOps.

He was quick to point out that while the initial reasons typically revolve around cost savings and efficiency, some really exciting things can begin to happen,particularly in terms of an organization’s ability to remain compliant and consistent in its operating practices. Automation essentially becomes a force multiplier, saving users time and skyrocketing productivity and facilitating innovation.

“When we transform our staff who were doing the more robotic functions and eliminate that from their daily work, it allows them to start thinking about how we advance the organization, how we build better engineered solutions, how we work with partners that add the most value,” Andrew points out.

“Their brains are more actively working on the things that solve business problems as opposed to the functional tasks and work that perhaps we’ve had them do over the past ten years.”

Check out the playback to hear more and learn what Andrew believes are the biggest benefits of automation.

The Impact of AI on Digital Transformation

The discussion then turned to Ross Tisnovsky of McKinsey who was asked what kind of impact he believed technologies such as intelligent automation and AI having on IT digital transformation efforts in the enterprise.

In his response, Ross shared how he approaches the adoption of new technology. In particular, he highlighted the main things that users want from IT which, in his opinion, include:

  • A workspace for collaboration and enhanced productivity
  • Improved decision-making
  • Support for business innovation
  • High efficiency at a minimal cost

According to Ross, the solution to these needs requires a hybrid of AI, automation and human decision making.

“Automation works on both sides of the picture and so does the artificial intelligence. In other words, it’s likely to become part of anything we do on the business side today.”

Watch the on-demand discussion to discover the Ross’ most intriguing thoughts on hybrid AI from his real-world experience.

Key Insights and Future Outlook

During the final portion of the panel discussion, the experts weighed in on such points as:

  • The role of humans in automation adoption
  • Biggest challenges to automating IT operations
  • Skills needed to automate effectively
  • Critical KPIs/success metrics to focus on at different stages of the IT digital transformation journey
  • What enterprise IT leadership should be doing right now to start preparing for the changes to come
  • Bold predictions for AI in 2019 (and beyond)

Don’t miss out on what was certainly one of the timeliest and most informative panel discussions we’ve ever had the pleasure of hosting. Tune in to the full recording today!

Watch the full recorded panel discussion

Using Intelligent Automation to Cut Costs and Skyrocket Service

Using Intelligent Automation to Cut Costs and Skyrocket ServiceFor several decades now, IT automation has been developed,refined and continuously improved to help streamline operations and take on the manual, repetitive tasks that nobody wants to complete. It’s becoming more widely accepted that most of these work duties can be handled by software. Beyond these simple, basic tasks, however, enterprises across the globe are now leveraging artificial intelligence to do even more. It’s called intelligent automation and it’s helping organizations of every shape, size and industry cut costs, improve service and remain a step ahead of the competition.

Intelligent automation is being leveraged as a solution to many common issues large businesses face, particularly those in the financial sector. One such area where intelligent automation is proving to be significantly beneficial is in meeting compliance requirements. Big banks,telecom companies, insurance firms and other businesses that deal with a high number of transactions, especially those that are sensitive in nature, are under increasing pressures to remain compliant. Relying on human workers to achieve this is not only expensive, but also more prone to costly error.

Another critical area where intelligent automation is having a positive impact is in the very volume of data itself. These days,there is so much information flowing into an organizations, from inquiries and transactions to authentications and a whole host of other business processes that businesses are finding it challenging to keep up. With smart technology,much of this data can be gathered, analyzed, sorted and prioritized without the need for human intervention, saving the organization time, money and a ton of aggravation.

Think Smarter, Not Bigger

In reality, even larger enterprises rarely have the luxury of increasing staff levels to the degree that is required to keep up with the rising demands being placed on them. Not only does this equate to increased costs, but it also opens the door to increased risk as well. C-suite executives, board members and other key decision makers are often too focused on other critical business initiatives to worry about growing the IT department.

The good news is, today’s intelligent automation software provides the opportunity to develop into a more efficient, highly productive,error-free environment without the need to beef up personnel. It’s providing organizations a way to work smarter instead of bigger while also lowering risks and keeping costs at a minimum. Unlike the rudimentary technology of just a few decades ago, today’s automation solutions are fully capable of analyzing,learning and responding to a mountain of data in real-time.

In reality, with the right strategy and intelligent automation technology, a business can successfully transition up to 90% of all IT functions from human to machine. This includes everything from repetitive, labor-intensive activities to complex workflows. IT automation is also playing a key role in helping companies establish and maintain a much more effective defense against cyber-attacks, providing the added protection of round-the-clock detection, analysis and response.

How Does Intelligent Automation Work?

Once an intelligent automation solution is adopted and implemented, the IT department determines which tasks are to be automated. Essentially, the software is “taught” what to do, when to do it and how each function should be carried out. Beyond the basics, like robotic process automation, intelligent automation is designed to deal with situational data and use that information to perform appropriate contextual functions. The software essentially uses relevant knowledge to decide on how to proceed in much the same way humans do.

Furthermore, intelligent automation also creates complete documentation of the entire decision-making and execution process, providing the ability for IT personnel to view, track, analyze and evaluate the automated process, both during as well as after the fact. This documentation contains all of the necessary details, including the relevant background and contextual information that was used in the decision-making process. Best of all, this information is stored and can be easily accessed in one centralized location.

The Benefits are Astounding

By adopting intelligent automation, organizations are able to achieve significant cost savings while also improving overall operation and service levels at the same time. When the majority of IT service management functions are shifted from human to machine, skilled personnel can focus on more important business initiatives. This promotes an IT environment that is much more efficient, agile, flexible and compliant, all of which can be translated to improved quality and satisfaction. The more complex the IT system, the greater the benefit automation can provide.

Is your organization taking advantage of these and the many other benefits that intelligent automation can offer? Get started today by downloading your free 30 day trial.

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