5 Ways the Service Desk can Use Chatbots

Pull up any IT related website and you’ll undoubtedly see dozens of headlines dedicated to artificial intelligence, machine learning and chatbots. Some of what’s being published relates to the threat of job replacement. And while that’s certainly true to some degree, AI isn’t something to fear – even for those who work in IT support. To the contrary, the service desk is ripe with opportunity to leverage chatbots to benefit both the end user as well as the support team. Let’s take a look at a few ways this technology can be used in tandem with the service desk.

Human Resource Optimization

Whether it’s resource planning or the redirection of work away from the service desk, AI can be used to make smarter use out of service desk personnel. For instance, machine learning algorithms are capable of analyzing patterns to predict future workload and plan staffing needs accordingly. Routine IT support tasks, such as password resets and remote restarts, can be shifted to chatbots, essentially supplementing (not replacing) help desk workers.

Improved Decision-Making

Decision support is another powerful way AI technology can aid the help desk. From low level automation of workflows to the prediction of future trends in the IT service realm, such as the demand for new or different IT services, the sky is really the limit with how this can be applied. Predictive analytics can even be used to forecast future customer satisfaction levels based on the impact of various factors that occurred in the past.

Self-Service IT Support

There are many different use cases, including intelligent search, through which machine learning algorithms apply meaning and context and draw from previous search successes to deliver more accurate search results. Intelligent autoresponders can provide automated resolution to service tickets without the need for human intervention. And, of course, the use of chatbots to provide a more engaging IT support interface using artificial intelligence and automated solutions. This not only takes much of the heat off of busy IT professionals, but it also empowers end-users and boosts productivity.

Proactive Service Improvement

In addition to identifying and addressing common IT problems that are occurring presently, predictive analytics can also be utilized to project possible high-impact issues that may occur in the future but have not yet been realized. This enables IT support staff to take proactive measures in reducing the risks of those possible future issues, often stopping them before they occur. And thanks to the technology’s advanced learning capabilities, it can improve on its own, getting better over time.

Improved Customer Experience

Each of the four points above contribute to a better customer – or in this case, end-user – experience. From better solutions to faster, more efficient support to self-service options (including chatbots and autoresponders) to proactive problem resolution and more. AI will undoubtedly continue to play a critical role in IT support’s customer experience journey, improving as time goes on.

These are, of course, just a handful of the many ways the service desk can leverage AI technology. There will be many other opportunities to use chatbots in the not-so-distant future. The most important thing to note is that artificial intelligence technology is already here and those in IT support that are currently using it will remain a step ahead of the competition.

Don’t get left behind. Schedule a free product demo of Ayehu today and learn how you can leverage chatbots to bring your service desk to the next level!

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Innovation without Breaking the Bank. Yes, it’s Possible.

Innovation without Breaking the Bank. Yes, it’s Possible.In a recent survey conducted by IDC, 45% of CIOs and senior IT executives stated that one of their top three objectives is to “create competitive advantage for the business.” Today’s IT leaders are, perhaps more than ever before, being asked to deliver more. More reliability. Faster responsiveness. Greater flexibility. They are expected to leverage digital transformation to create disruption. And they are expected to do all of this while keeping financial impact at a minimum.

These IT leaders find themselves facing quite the challenge: finding a way to continuously innovate in the face of increasing budgetary restraints. The good news is, with the right strategy, this is – indeed – possible. Here’s how.

Leverage Your Data

Today’s forward-thinking organizations are increasingly driving business value and seeking to achieve competitive advantage through deeper data insights. This enables business leaders to uncover hidden value in existing services or products. With the right approach, innovation doesn’t have to be expensive. Simply prioritize the results of data discovery in order of those initiatives that require minimal risk and investment but have the potential for high returns.

Ultimately, the key to innovation lies in having a data-oriented mindset. Initiatives that focus on reducing costs and streamlining processes can be successful, but only when the right data is being used the right way to facilitate better decision-making. The ability to rapidly execute on those findings is also important.

Review Risks and Seek Out Greater Efficiency

Another critical key to cost-effective innovation is risk analysis and efficiency planning. Review the risks the business has and assess the impact and likelihood those risks may have on customers and operations. From there, you can prioritize and monetize, making more informed decisions about which areas budget cuts can be made while still meeting business needs.

Budget cuts enable business leaders to focus their efforts on maximizing efficiency. Establishing leaner teams, optimizing process management and improving the effectiveness of certain key elements, such as data storage, can all result in a better product or service at a lower cost. And, of course, adoption of technologies, such as intelligent automation (which we touch on in greater detail below), to help streamline processes and maximize efficiency.

Optimize, Optimize and Optimize Some More

The most innovative organizations – especially those on tight budgets – make a concerted effort to continuously optimize ongoing operations and costs. It’s never a “set it and forget it” kind of thing. It’s a never-ending battle – one for which technology can provide a leg up.

IT leaders must take advantage of targeted applications and cloud opportunities to extend and enhance their core capabilities. By leveraging the power of tools like artificial intelligence and machine learning, operations can be fully optimized. Not only does this create a more productive, efficient work environment, but it also frees up human workers to apply their creative, cognitive skills toward innovative business initiatives.

According to Gartner, 90% of the IT budget is currently consumed by the support of legacy systems. These costs can be dramatically lowered through IT optimization. Adopting the right technologies – preferably ones that seamlessly integrate with legacy systems – can reduce expenditure, improve customer service and provide distinct competitive advantage. At the end of the day, innovation takes funding and resources. IT optimization can free up both.

Looking for a platform that can bring your legacy systems together, improve efficiency and help you harness the power of data for better decision-making support? Ayehu offers all of this and more. Experience it for yourself. Request a live demo today and get your organization on the path to affordable innovation.

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7 Tips for Reducing IT Personnel Turnover

7 Tips for Reducing IT Staff TurnoverAs any IT leader will acknowledge, attracting top talent is only half the battle. It’s keeping them on that’s the real challenge. And with an average employee tenure of only about 3 years, it’s a serious concern for many organizations across the globe. Add in the complex, fast paced and highly stressful role of IT and you’ve got quite the conundrum. So, what’s the secret? How can you keep your talented employees on for the long haul? Here are 7 tips to point you in the right direction.

Keep them challenged. The last thing you want is for your IT personnel to become bored and stagnant in their current positions. Avoid this by investing in ongoing training, setting up mentoring programs, and offering opportunities to learn about and master new strategies and technologies. The more you keep your IT employees engaged and involved, the less likely they’ll be to look elsewhere.

Rotate project time. Being stuck on the same project day in and day out can lead to fatigue and frustration. Consider rotating employees onto various IT projects so that they don’t feel stuck. This will provide exposure to and the opportunity to learn about new skills and also open up the door to be able to approach long-term projects from differing perspectives – both of which can benefit your organization.

Give them the tools they need. These days, keeping up with the onslaught of incoming requests is nothing short of exhausting. Don’t leave your IT personnel out to dry by making them handle this monumental task manually. Arm them with the technology they need to do their jobs better, faster, more efficiently and more effectively, such as IT automation.

Provide a safe place to vent. Without question, the job of keeping an entire organization safe from the potentially devastating financial and reputational damage a successful breach can have is incredibly stressful. Additionally, IT personal often feel tense due to the amount of classified and confidential information they are entrusted with. Provide an opportunity and a secure avenue for these employees to vent their feelings.

Encourage time off. Everybody needs a little down time, but given the fast-paced and highly stressful field of IT, these employees could probably use some time off more than anyone else in your organization. This is where technology can help. By automating a good portion of tasks and leveraging the cloud to embrace more flexibility, your team can take the much needed time off they deserve without the company feeling any negative impact.

Use realistic metrics to measure success. One of the biggest reasons IT professionals find themselves dissatisfied at work is because they feel they aren’t being adequately recognized. This is often due to a lack of clear and specific metrics for success. Management should set realistic expectations, communicate openly and routinely measure progress. Good work should be rewarded and areas of improvement identified and addressed in a positive, productive way.

Empower them. If your employees feel that their only option is to come in every day and put in 10-12 hours of labor, they’re not going to develop any kind of connection or loyalty to your organization. On the other hand, if they know that the work they do plays a direct role in the “big picture” and that their achievements are tied into the company’s overall success, they’ll be much more plugged in, which means they’re more likely to stay on for the long haul. Empower them by inviting ideas and encouraging autonomy.

Are you doing enough to keep your IT personnel satisfied, engaged and plugged in? If not, you could be facing higher turnover, which can negatively impact your company’s bottom line and also leave you more vulnerable. By implementing the above tips, you’ll create a more positive work environment that fosters longevity. Happy employees will work harder to ensure that your organization remains strong, secure and successful.

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Human Learning vs. Machine Learning – What’s the Difference

These days, artificial intelligence is all around us. If you’ve ever used Siri on your iPhone or the live chat feature of a website, you’ve interacted with AI. From a business perspective, the rise of AI can be both exciting and challenging. Furthermore, it’s a concept that isn’t necessarily easy for everyone to grasp. The most common question being asked by individuals who aren’t deeply involved with tech is, “What, exactly, is artificial intelligence?” Perhaps the easiest way to understand AI is to compare it to something that is already widely understood – human intelligence.

How Does Human Intelligence Work?

Generally speaking, human intelligence follows a simple, straightforward and typically predictable pattern. We gather information. We process that information. And we use that processed information to decide what to do next. These three basic steps can be summed up as follows:

Input —> Processing —> Output

Input occurs through sensing and perceiving the things all around us. The senses – eyes, ears, nose, etc. – gather raw input, such as the sight of light or the scent of a flower. The brain then processes that information and uses it to determine what action to take. In the processing stage, knowledge is formed, memories are retrieved, and inferences and decisions are made. Output then occurs in action based on the information processed. For instance, you might hear a siren, see an ambulance in your rear view mirror and subsequently decide to pull over to let it pass.

In order to safely navigate the world in which we live, we must effectively process all of the input we receive. This basic concept is the core of human intelligence, which can further be broken down into three definitive segments:

Knowledge/Memory

People gain knowledge through the ingestion of facts (i.e. the Pilgrims landed in 1620) as well as social norms (i.e. saying “Please” or “Excuse me”). Further, memory allows us to recall information from the past and apply it to present situations.

Inference/Decision

Inferences and decisions are made based on the raw input we receive, combined with our memories and/or built up knowledge. For instance, let’s say you tried a new food a few months ago that turned out to be way too spicy for your taste. The next time you’re offered that food, you politely decline.

Learning

There are a number of ways humans can learn, including observation, example and algorithm. With observation, we determine the outcome on our own. With example, we are told the outcome. Learning by algorithm, on the other hand, allows us to complete a task by following a series of steps. A good example of this would be solving a long division problem.

Human Learning vs. Machine Learninghuman learning vs. machine learning

The main aspects of human intelligence are actually quite similar to artificial intelligence. In the same way that humans gather information, process it and determine an output, machines can do this as well.

Of course, because machines do not have physical senses like people do, the way they gather input differs. For instance, rather than sight or smell, artificial intelligence gathers information through things like speech recognition, visual recognition and other data sources. Think about how a self-driving vehicle can sense obstacles in the roadway or how your Amazon Echo listens and recognizes your voice.

The processing piece of the formula also mimics how human intelligence works. Similar to the way people accrue memories and build knowledge, machines are capable of creating representations of knowledge and databases where information is stored. And, just as people draw inferences and make decisions, machines can predict, optimize and determine what the best ‘next steps’ should be in order to accomplish a particular goal.

Similarly, just as humans learn by either observation, example or algorithm, machines can also be “taught.” For instance, supervised machine learning is akin to learning by example: the computer is provided with a data set containing labels that act as answers. Over time the machine can essentially “learn” to differentiate between those labels to produce the correct outcome.

Unsupervised machine learning is like learning by observation. The computer recognizes and identifies certain patterns and subsequently learns how to distinguish groups and patterns on its own. Lastly, learning by algorithm is the process by which a programmer “instructs” the computer precisely what to do, line by line, using a software program. Ideally, the most effective form of artificial intelligence will utilize a combination of the above learning methods.

The output that results sums up how machines interact with the world around them, whether it’s speech generation, navigation, robotics, etc.

Take, for example, the business use case of cybersecurity threat detection. Artificial intelligence can scan enormous amounts of data and monitor an entire infrastructure in real-time. It can then, through a combination of unsupervised and algorithmic learning, pinpoint anomalies that could potentially represent data breaches. It can then use that information to investigate and test, automatically determining what the next steps should be, whether it’s escalation to a human agent or automatic remediation.

The Future is Now

We have, undoubtedly, only seen the tip of the iceberg as it relates to artificial intelligence and its potential impact on our lives – both personal and professional. As technology continues to evolve and improve at a breakneck speed, AI and machine learning capabilities will also evolve. Why wait? Get ahead of the curve and experience the next generation of automation and AI by taking Ayehu for a test drive today.

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Leveraging Intelligent Automation to Bridge the Skills Gap

Leveraging Intelligent Automation to Bridge the Skills GapWhen it comes to digital transformation, certain distinct skillsets are needed – of which many are in short supply. The area of cybersecurity, for instance, is suffering a remarkable shortage of talent. IT operations that focus on human capital and disparate tools and systems simply won’t be enough to keep up with the staggering pace of innovation.

Modern enterprises must be capable of adapting quickly to the ever-changing and increasingly complex environment while also remaining flexible. Furthermore, a growing number of IT technologies, applications, systems and processes must be adopted and routinely updated in order for organizations to remain competitive.

These demands pose a serious challenge to those enterprises that do not have adequate talent or expertise. For those IT teams that find themselves behind the eight ball, intelligent automation can be their ace in the hole.

The Shift from Human to Machine

Gartner predicts that by 2020, 75% of enterprises will experience visible business disruption due to skills gaps. This is up dramatically from just 20% in 2016. This is a serious concern for business leaders across all industries.

In response, many organizations are already working to add technologies that can augment their existing human resources. In particular, intelligent automation and orchestration is becoming a significant focus. In fact, Gartner lists AI and machine learning strategy development/investment among “the top five CIO priorities.”

Making the shift from human to machine results in two distinct advantages. One, because intelligent automation is capable of performing massive amounts of error-free work, productivity skyrockets. Second, with the addition of intelligent automation, existing human workers can apply their advanced skills to more important business initiatives, such as growth and innovation. And thanks to machine learning and AI technologies, decision-makers can avail themselves of data-driven support.

A Match Made in IT Heaven

With intelligent automation, organizations facing the challenge of budgetary restraints can build highly functioning, agile IT operations without the need to hire additional staff. Existing personnel can be trained and reskilled to become versatilists — those who can hold multiple roles, most of which will be business, rather than technology, related.

The key to delivering digital value at scale is having the right people talent,” says Terrence Cosgrove, research vice president at Gartner. “Currently there just isn’t enough talent with the digital dexterity for hire, so I&O leaders will need to develop this core competency in the talent they already have.

With the help of intelligent automation, IT departments can operate at maximum efficiency, saving time and money in the process. In fact, this technology has the potential to position forward-thinking enterprises at the forefront of digital transformation, despite the growing talent shortage.

Could your organization benefit from this “ace in the hole?” Find out today by taking Ayehu for a test drive.

 

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The CAO’s Role in Digital Transformation

The CAO's Role in Digital TransformationToday’s savvy business leaders recognize the need to adapt to changing technology or risk being left behind. And while we may not be able to control what that technology will be or which direction it will take us, we can take advantage by responding quickly and making the necessary adaptations before our competitors. That’s why the role of Chief Automation Officer is becoming much more necessary.

A recent study by PMG revealed that the biggest obstacle to successful adoption of automation was the lack of a holistic approach. In fact, 59 percent of respondents agreed that automation implemented on an ad hoc basis leads to incompatibility and subsequent inefficiency. Most organizations today require not only a unification of silos but also the ability to align automation strategies between different physical locations, some of which may be situated half a world away.

How can one expect to effectively align IT functions with the business as a whole when automation – the very technology that’s designed to enable better business decisions – is not adequately represented in the C-Suite? A CAO brings valuable perspective with the ability to see automation from a global viewpoint. As a result, automation becomes a critical component of the overall strategy rather than just a means to deliver it.

Organizations with multiple technology centers located worldwide recognize the importance of global collaboration to the forward progress of the company. There is little overall business value if you’ve achieved continuous process improvement in just one office but not the others. You may have certain specialists deployed across the globe who are highly skilled at managing automation technology, but if there’s no central strategy and one leader, their abilities cannot be maximized.

The CAO’s purpose is to drive this type of simultaneous widespread orchestration. While automation specialists focus on their specific IT departments, managing the day to day operations, the Chief Automation Officer spends his or her time looking outward and forward. This role is absolutely essential to achieving rapid, sustainable transformation, as the ability to orchestrate automation on a global scale and unify strategies is what ultimately enables businesses to adapt at the speed of thought.

Automation is critical to an organization’s ability to reallocate capital from today’s business operations to the needs of tomorrow. It allows IT to shift from reactively putting out fires to taking a more proactive approach, which is necessary for successful digital transformation.

The good news is automation is evolving at relatively the same pace as the complexity it is designed to simplify. Disruption that would otherwise be overwhelming is now becoming entirely feasible thanks to automation and orchestration solutions that provide a competitive edge. Deriving business value from the IoT, for instance, is made possible by automation strategies that process and analyze the data being procured. Automation essentially frees up funds that can then be used to fuel innovation.

The CAO is responsible for taking optimized workflows and applying them wherever feasible throughout the entire organization. This creates more compliant and easily auditable processes. And because this approach eliminates repetition and duplication of work, the entire operation can run more consistently and efficiently. Furthermore, by evaluating how automation is utilized throughout the company, the CAO is also able to optimize the allocation of human resources, removing bottlenecks and improving productivity across the enterprise.

Another area where the CAO can be highly beneficial to the company is in his or her ability to seek inspiration from the rest of the workforce. One company was able to uncover nearly 300 innovative ideas simply by asking employees to suggest processes to automate. In the absence of this communication between upper management and frontline workers, these suggestions, and the positive changes they brought about, would have remained private.

In conclusion, automation remains a catalyst for change, driver of innovation and procurer of productivity. With the overarching visibility and control a CAO provides, automation strategies will have the flexibility and scope needed to stimulate disruption and achieve digital transformation.

Want to see the power of automation and orchestration powered by machine learning in action? Click here to request a product demo.

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How Intelligent Process Automation is Revolutionizing the Financial Field

How Intelligent Process Automation is Revolutionizing the Financial FieldJust as robots have been performing routine, repetitive tasks on the floors of factories for decades, that same concept is now being applied to the financial industry with tremendous results. Intelligent process automation (IPA), powered by AI and machine learning technologies, promises to revolutionize how financial organizations operate, maximizing efficiency, cutting costs and ensuring optimal service levels.

This advanced technology has the potential to transform just about every area of the finance function. In particular, IPA will enable finance professionals to make the critical shift from transactional to strategic.

When rote, manual tasks are automated, skilled finance experts will spend less of their time running reports and performing provisional data analyses. Instead, they will be able to quickly and easily gather and analyze the essential data they need to enhance performance and deliver better support. No longer bogged down with busy-work, these experts will have the time to engage with other lines of business and deliver the forward-thinking guidance that leadership needs to pursue new opportunities.

Let’s take a look at a few real-life examples of how intelligent process automation can be applied in financial institutions.

Account Reconciliations

A good portion of today’s accounting teams spend far too much time performing manual reconciliations across a variety of systems. At the enterprise level, this can involve thousands or tens of thousands of individual transactions across multiple systems, both internal and external.

In reality, many of the mismatches found in reconciliations actually follow similar patterns. For instance, an entry was made twice in error or someone accidentally keyed in a negative sign instead of a positive. Intelligent process automation is capable of not only recognizing these patterns, but also identifying the issue at hand and correcting it. In many cases, this can be done without the need for any human input.

Some estimates indicate that up to 80% of these simple reconciliation tasks can be automated, freeing up skilled staff to focus their efforts on the smaller percentage that are more complex or require human judgment.

Closings

For most corporations, the end of the month or quarter is a stressful time that requires all hands on deck to handle the financial close. This process typically involves a number of different systems, multiple finance teams and several lines of business, there are a multitude of dependencies that require tracking and management. For instance, certain accounts cannot be closed until all related sub-accounts are closed by the subsidiaries.

Intelligent process automation can alleviate much of this complexity by:

  • Automatically tracking the status of completed tasks across multiple systems
  • Automatically initiating close processes upon completion of dependent tasks
  • Updating the close calendar to provide visibility into the status of the financial close process

Financial Planning & Analysis

FP&A is another complex but necessary process eating up a significant portion of time, particularly for senior executives. It involves creating and approving budgets, analyzing spend, managing those budgets, etc. With IPA, routine budget requests that follow a common pattern don’t need to be signed off on. Instead, only unfamiliar or unusual requests will require review and approval.

Prior to submitting a request for executive approval, the intelligent process automation platform can analyze the pattern (i.e. dollar amount, similar requests that were made in the past, etc.). If it determines that similar requests received 100% approval in the past, the software can automatically process the approval without the need for human intervention. If an anomoly is detected, it can reroute to an executive for manual review.

PwC predicts that by 2020, financial services organization will begin to ramp up their AI adoption, streamlining operations and re-shoring jobs. And given the tremendous benefits intelligent process automation has to offer, it’s obvious why.

Want to position your financial organization for future success? Jump on the IPA train! Click here for a free, interactive product demo and get started on the path to digital revolution today.

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5 Practical Business Applications for Machine Learning

5 Practical Business Applications for Machine Learning 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 revenues 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 IT 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.

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How to Mitigate Risk with Compliance Automation

How to Mitigate Risk with Compliance AutomationWith laws and regulatory requirements evolving on a continuous basis and the stakes incredibly high in most industries, compliance professionals face the challenge of eliminating whatever might be standing in the way of conformity. Despite the fact that many organizations have already invested significantly in maintaining compliance, their efforts are often undermined by something as basic as improper or inadequate reporting. That’s where compliance automation comes into play.

The outcome of companies that fail to prioritize compliance can be seen all around us. Almost daily, another headline appears highlighting the downfall of yet another promising startup. Not only do failures in this area impact the company itself and its customers and investors, but these incidents also tend to result in a tightening of compliance regulations. So, in essence, when one organization messes up, everyone in that industry (and sometimes beyond) must pay to some degree.

When it comes to compliance, there are a number of ways a company can head down the wrong path. Businesses are tasked with staying on top of complex regulations and deal with the time, money and other resources that are consumed by ongoing data gathering and compliance monitoring. Streamlining reporting through compliance automation can alleviate much of this burden. But how? What’s the best way to transition from manual to automated (and therefore more auditable) processes?

The simplest solution is to eliminate as much human interaction from your workflows as possible. Compliance automation delivers much more than enhanced efficiency. It also provides a number of benefits as they relate to risk management. With an automation and orchestration platform in place, compliance teams can rest easy knowing that they are in good standing with all regulatory requirements.

Furthermore, come audit time, all the relevant data will be available at the click of a button. With automated workflows, there’s no laborious data gathering or risk of erroneous reporting. Most critically, because the business will remain compliant, it will also remain safe from potential penalties and other costly consequences. The less the compliance team relies on manual processes, the less exposure there will be for the company as a whole.

Remember – compliance problems don’t only result in costly fines and penalties. They can also wreak havoc on a company’s reputation, market value and more. By integrating automated technology into the compliance process, businesses can effectively eliminate additional risk of human error that could threaten to derail an otherwise sound operation. Compliance automation facilitates a repetitive, easily monitored and managed set of workflows, gathering data in one single platform and exposing potential issues so they can be addressed before they become a serious problem.

To see for yourself how Ayehu’s automation and orchestration platform can help streamline compliance and just about every other area of your business operations, click here.

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5 Ways Intelligent Automation Can Help You Dominate Your Industry

5 Ways Intelligent Automation Can Help You Dominate Your IndustryAccording to a recent report from Forrester Research, organizations that embrace automation won’t just succeed. They will absolutely dominate their respective industries. Once a relatively futuristic concept, these days just about every business benefits from automation in some way. Ever set or receive an out-of-office reply? That’s automation – albeit in its simplest form.

Many companies, however, have taken automation several steps further by offering self-service options, adopting chatbot technology and using other forms of next generation artificial intelligence (AI). The exciting news is that the true potential of intelligent automation has yet to be realized. And those businesses that jump onboard today will inevitably be at the forefront on innovation tomorrow.

Here are five ways intelligent automation can help develop a savvy, innovative and more agile organization.

Boost productivity, employee morale and retention.

Intelligent automation isn’t designed to eliminate humans from the workplace. Rather, its purpose is to augment their capabilities. When the tedious, repetitive and mundane components of day-to-day work are shifted from human to machine, productivity naturally rises. Meanwhile, employees are freed up to perform more creative and meaningful work. And when people can spend their time on the aspects of their jobs that are interesting and rewarding, satisfaction and retention levels also go up.

Streamline inefficient business processes.

Nothing kills a company’s chance of growth quite like inefficiency. Wasted time equates to wasted money and – more importantly – missed opportunities. Businesses that are overwhelmed by chaotic, disorganized processes and workflows can turn things around with intelligent automation. Instead of spending hours manually keeping track of work that needs to be done (and backtracking to fix things that inevitably go wrong), employees can apply their critical thinking skills to more important key initiatives, such as utilizing data to develop more advanced business strategies.

Increase visibility.

Organizations with business leaders that know precisely where they stand in terms of project status updates and budgets are in a much better position to succeed than those with management that’s constantly feeling around in the dark. That’s another area where intelligent automation can help. When reporting is made easy and incredibly accurate, upper management can enjoy much greater visibility into what’s going on at any given moment. Furthermore, with machine learning capabilities, leaders can get high-level, data-driven decision support to help them guide the organization in the right direction.

Enhance customer experience.

When employees no longer have to spend their time performing manual tasks and workflows, they can devote more of their effort to the needs of customers. And in today’s digital age, service has become the true differentiator. Thanks to intelligent automation, companies can shift their resources from fielding requests to developing creative solutions to address unresolved issues. This enables companies to deliver even better service to their customers, solidifying their position as trusted industry leaders.

Drive faster, more sustainable growth.

When it comes to scaling an enterprise, intelligent automation can be the solution – not only to achieving the set objectives, but doing so faster. As soon as a company determines new ways of working that deliver better results, they can then automate those things. This causes a sort of snowball effect, driving exponential growth that is sustainable for the long-term. While other businesses are simply getting by, those that are leveraging automation will be leaps and bounds ahead.

Curious about how intelligent automation can help your organization? Check out our free eBook below, or take Ayehu for a test drive to experience the power of next generation, AI-powered automation today!

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