As a B2B service provider for a decade now, we recognize the important value that reviews provide for our operations. These reviews effectively and organically spread word of mouth regarding our services. We can also use our scores to provide a quantifiable metric to the quality of our services.

With that being said, it’s been some time since we last had a new review on Clutch and we’re quite happy that we made our return to the platform in the best way possible. Our team is happy to share that we closed out 2021 with a five-star review.

![cl.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/cl_b2aa70f1e6_6199a6181c.png)


For those who’ve forgotten who they are, Clutch is a review platform that primarily serves the B2B industry. They conduct industry research to determine the top-performing companies in every industry around the world.

Five-star ratings aren’t the easiest to earn and being able to score the highest score in every category cemented how well we did on this project. We want to thank our partners for their great feedback, allowing us to triumphantly return to the Clutch platform.

However, the effects of this review don’t stop there. Thanks to this newest entry to our catalog, we are now included in [Top Design Firm's directories](https://topdesignfirms.com/app-development) for top 100 mobile app developers. This was a great last-minute present for our team during the holidays.

We appreciate the effect this single review has had on the both status of our company on the platform as well as the morale boost it’s given our team. We will commit to earning more of them moving forward, in order to take full advantage of the opportunities they present to us in the coming months.


The IT industry is built on having meaningful connections with as many people as possible. We want to bring that into our work and make as many people aware of our services as possible. This return to earning reviews is only the first step in achieving all the goals we’ve set for the future. We mean to meet them and take our operations to the next level.

If you want to benefit from a company with a decade’s worth of experience in the industry, then we’re the team for you. Simply [contact our team](https://www.shareitsolutions.com/contact-us) through our email, mobile number, or contact form, and we’ll be at your beck and call ensuring you get the best possible assistance for your project.

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We want to thank our partners for their great feedback, allowing us to triumphantly return to the Clutch platform.

Share IT Returns to Clutch with a Five-Star Review

RPA and AI are currently the two of the most successful technologies for helping organizations optimize their processes for the “new normal”. Both of these concepts have proven themselves effective in cutting unnecessary costs from the equation, increasing customer satisfaction, and boosting employee happiness across the board. 

As you probably remember if you’ve been reading our blog, we at Share It think RPA is an amazing solution for enabling smoother digital transformation for businesses of all shapes and sizes. Over the last 30 days, we [deeply explored the topic of RPA](https://www.shareitsolutions.com/blog/what-is-rpa) on our blog and explained its core values and real-life impact to businesses looking to quickly [adapt to the digital-first world](https://www.shareitsolutions.com/blog/how-is-rpa-changing-remote-work).

The people behind [Grand View Research](https://www.grandviewresearch.com/press-release/global-robotic-process-automation-rpa-market) have conducted a study about the state of the global RPA market and have found out that this industry is yet to hit its peak. According to the Grand View Research team’s predictions, the global RPA market is going to be valued at $25.5 billion by the year 2027. 

Yes, AI is currently a more lucrative industry (the same linked report sees AI hitting $390.9 billion by 2025), but that doesn’t necessarily mean that AI is always a better solution than RPA. 

In fact, both RPA and AI can play a significant role in augmenting operational efficiency and transforming how your business functions. The only real trick here is to understand how both of these concepts compare to one another, how they differ and complement each other's strengths.

So, without further ado, let’s take a closer look at what RPA and AI have to offer, and how these complementary technologies are best deployed.

## What is RPA?
![2.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/2_fad5b600cf_d741514451.png)

We have already covered this on the blog, but in case you missed the piece where we explained the ABCs of RPA, we’re going to give you a TL;DR version to quickly bring you up to speed:

Robotic process automation or RPA is a piece of tech that enables seamless building, deploying, and managing of software robots that emulate human actions interacting with digital systems and software.

In layman’s terms, these robots have the ability to communicate with tools and systems in the same way people do. They are able to understand what’s on a screen, complete the correct keystrokes, navigate systems, identify and extract data, and perform a wide range of defined actions.

Because of these specific abilities, RPA bots have become extremely valuable to C-level business people who are tasked with eliminating tedious day-to-day work from their team’s plate. 

In a nutshell, RPA bots are helping businesses stimulate higher productivity and engagement, optimize costs, and foster faster and safer information flow.

## What is AI? 
![3.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/3_f5e5484ba5_7d0bcff070.png)

AI, or Artificial Intelligence, is a data-driven and outcome-focused technological solution that simulates human intelligence. 

It derives cognitive decisions based on the inputs given to it. 

**How does AI work?** The AI algorithm collects large volumes of scattered information and sorts it out based on your designated patterns. With its intelligent capabilities, AI can enhance any form of automation and can carry out decision-driven, and complicated tasks as well. 

AI has many wonderful use cases. Some of the popular ones are speech recognition, image recognition, chatbots, natural language generation, and customer sentiment analysis.

## Core Differences Between RPA and AI

If you read the definitions carefully, you have probably noticed a core difference in how these solutions operate. RPA is a process-centric solution, while AI is data-driven. 

In layman terms, this means that RPA is used for concrete, rule-based tasks (like sending invoices to the customer), while AI operates on analytics, which means that it needs intelligent algorithms, computational intelligence, and statistical inputs to conduct operations (that are often far more complex than what you do with an RPA bot).

## So, When to Opt for RPA and When to Opt for AI?

RPA is a great solution for optimizing tedious workflows. Anything beyond that usually requires a different solution. In more dynamic work environments, RPA will need support to manage complicated issues. That type of support usually comes in the form of AI. 

Companies that have combined RPA and AI have seen success with tackling high-volume data-focused tasks that eat a lot of time to complete.

If leveraged intelligently, RPA and AI can substitute human interventions to perfection. 

Managing bots and streamlining unstructured data doesn’t have to be a dreadful task for your team if you figure out how to make the best use out of the two above-mentioned solutions.

As you probably remember if you read our previous [RPA-focused articles](https://www.shareitsolutions.com/blog/factors-to-consider-about-rpa), this piece of tech is best utilized for end-to-end rule-based processes like data entry, billing, order management, HR onboarding. 

To validate if a specific process is eligible for an RPA “makeover”, you have to first break it down and single out all the actions that you’re trying to fix/optimize. 

After that, your next step is to verify that all basic features work in your environment and think about the features you’ll need to make this run. Once you do that, differentiate the features so you can justify each one’s existence and start building scripts.

Sounds super simple and it usually is for easy, mundane tasks. However, if you’re trying to automate something more complex, then you have to apply a different method to see if a specific scenario is a good fit for an AI-based solution.

If you’re considering leveraging the power of AI to optimize a particular workflow, you first need to figure out if the outcome you’re looking to achieve can or cannot be forecasted instantly. Things like predicting the exact number of support tickets that will be raised by the customers and product defaults, etc. are usually processes that are highly variable and do not rely on a clear-cut set of rules. This, of course, makes them a great candidate for an “AI makeover”.

## Closing Words

AI utilizes the power of machine learning and deploys it to automate/optimize processes. In this realm, both of these solutions bring functionalities needed to achieve operational excellence, which is what we all strive for. 

There is no clear “better” option between these two solutions because they cover different things and support businesses in ways that handle the jobs that need to be done in a clear and painless way, while also learning from the data and making the end-to-end information flow smoother than ever before. 

If you’re interested in learning how both RPA and AI can optimize your core processes and help you achieve higher operational efficiency, feel free to [reach out to us here](https://www.shareitsolutions.com/contact-us) and we can schedule a call to discuss how we can help you meet your business goals by leveraging the power of these two technologies.

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Interested in learning how RPA and AI can help you achieve higher operational efficiency? Great! Read our latest blog post!

RPA vs AI: How these Solutions Differ and Complement One Another

Last couple of weeks we dedicated some space on our blog to explain the [basics of RPA](https://www.shareitsolutions.com/blog/what-is-rpa) and what [factors you need to consider before you start optimizing a specific process with RPA bots](https://www.shareitsolutions.com/blog/factors-to-consider-about-rpa).

This week, we want to stay on the same topic but discuss it from a different angle. We want to underline RPAs role in the current world and how this tech is influencing and shaping “the new normal” when it comes to our work. 

## The New Normal and Its Impact on How We Work

![2.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/2_03657ec55d_d05f254862.png)


Back in 2019, a lot of people were under the impression that COVID-19 was going to be just a bump in the road that we were going to easily jump over. 

Unfortunately, that didn’t happen, and organizations that expected that the shift to remote work was only going to be a temporary thing when the pandemic first struck have realized that this is going to forever change how we work and do business.

Because of that, a lot of leading organizations have been scrambling to adopt remote working technologies. 

Knowing that there’s no end in sight when it comes to COVID-19 and that [remote work is here to stay](https://www.forbes.com/sites/ashiraprossack1/2021/04/25/office-not-required--why-remote-work-is-here-to-stay/?sh=25dde4bb6ab4), companies have started to focus on strategic, sustainable technological solutions that will set their infrastructure for success. 

RPA and AI have proven themselves as worthy technological partners for these types of challenges. 

If used correctly, both RPA and AI can be deployed to bridge short-term strategies with a more permanent infrastructure that accommodates organizations’ new realities.

When implemented strategically, automation software can not only help companies overcome the business challenges facing them today, but also bring them into the future. 

Here’s how.

## How RPA Connects to Remote Work
![3.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/3_d2106b94e7_7ff2609534.png)


The shift in how we work happened in a second and a lot of people and businesses struggled to adapt. We experienced all sorts of problems from loss of business, layoffs, and dips in productivity to the [great resignation](https://hbr.org/2021/09/who-is-driving-the-great-resignation). 

COVID-19 had a major influence on team morale as well.

However, people are resilient and big players started to figure out new systems that would increase productivity back again, improve morale, reduce employee turnover, and positively influence operational cost savings.

The first thing that needed to happen to turn the game back around was workforce and workload optimization. 

As [Deloitte’s Post COVID-19 Cost Optimisation](https://www2.deloitte.com/content/dam/Deloitte/my/Documents/risk/my-risk-thriving-business-post-covid19-cost-optimisation.pdf) report has been brought to light, “strategic cost optimization” needed to be seen as the no.1 goal for businesses that were looking to get their operations back on track. 

In this scenario, workforce optimization and efficient division of labor become two major factors that we needed to address to turn things around. 

For the first part, a lot of organizations have turned to RPA to help them remove blockers from their day-to-day work and eliminate mundane tasks from people’s plates.

## How RPA Improves the Quality of Remote Work and Remote Workers’ Lives

If leveraged right, robotic process automation (RPA) can be deployed to bridge lots of short-term strategies with a more permanent infrastructure that accommodates organizations’ new realities. 

RPA can prepare organizations for the remote-first world and help them remove unnecessary noise from their day-to-day operations. 

Here are a couple examples of how RPA helps:

### 1. Removing Pressure from the IT Department

The initial shift to remote work hit all departments differently. The biggest burden fell on operations teams who got tasked with setting up employees in their new home offices while maintaining security over the organization’s data. 

For months, their every day was filled with helping employees overcome technological challenges. They had little time to focus on things like digital transformation (projects that actually had a major impact on the core business).

Since this started to become a bigger issue over time, most tech teams started to rely heavily on automation to free up the noise from their everyday job and give them space to focus on more complex and important work.

They started to use robots within contact centers to help them quickly respond to support tickets, eliminating wait times for assistance and enabling employees to maintain productivity. 

RPA tech offers IT teams to pull key information from employee requests, aggregate data from multiple sources as needed, and then, with the help of AI, figure out how to remedy the situation. If the task needs to be elevated to a human to solve, then the robot has at least already compiled all the necessary information for the IT team member to engage with, which helps them reach a solution faster.

Because robots can execute repetitive and time-consuming activities like data collection, IT teams have more time to work on digital transformation initiatives—like leading the charge on technologies that not only maintain business continuity but also empower the business to accomplish more.

### 2. Modernizing Dated Processes and Removing Blockers

![4.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/4_41f9aaf5ed_20f5dfe408.png)


Many companies had to quickly update their legacy systems to the context of the new digital-first way of operating. HR and Finance systems were the first ones that needed a lot of updating which frustrated a lot of businesses because these tasks turned out to be time-consuming and dull. 

Overhauling these legacy systems is never easy. Whenever companies go down this path, they risk disrupting workflows and losing data.

However, RPA can help bring some gaps. Companies can use the bots to securely enable employees to work from their homes. 

For systems that are unable to grant access to remote devices, RPA bots can be deployed to capture the data on those systems and then share it with employees. Having robots automatically pull data from systems has the added benefit of creating unified access to information. 

A lot of companies store business data across multiple systems within the organization. Tracking down the right pieces of information tends to be a challenge in a lot of corporations, especially for employees that are physically present in the office building. 

With RPA bots, these employees can save time and avoid unnecessary roadblocks. RPAs facilitate collaboration between widespread workforces. They possess the power to speed processes up and make them less of a chore for everyone involved. 

They have the power to automate everything from Slack updates to call scheduling and note distribution.

### 3. Onboarding New Talent and Removing A Lot of Unnecessary Work from the HR Department

Despite the pandemic and all the uncertainties businesses are now experiencing, hiring remains one of the top objectives. If you want to adapt to the new normal and figure out how to thrive in this day and age, you have to bring in talent that can help you go full-digital feel seamless.

However, that’s often easier said than done. New hires need support. They need someone to teach them about the company’s core values and most important processes before they can do anything useful. Since it has become impossible for most businesses to onboard people in person, industry leaders have started relying on RPAs to help their fresh talent get used to their new environment. 

RPA serves as onboarding assistants. Someone to have “on your side”. New hires are no longer burdened to remember everything. They can use the bots to fetch all the “how to…” information they might need about specific company processes and policies. The bots can simply perform fast and accurately the clicks and keystrokes that are necessary. The outcome is surely going to be a lot less marred by new hires’ errors.

### 4. Handling Mundane Work that Makes People Frustrated and Unnecessarily Busy

By “mundane work” we refer to back-office tasks like settlements, clearances, record maintenance, or regulatory compliance. Even though this is extremely important work, it’s usually very boring. Everything is templated and people find themselves in situations where they have to do a lot of stuff that doesn’t mentally engage them on any level. 

In the case of highly regulated industries, such as telecommunications, media, or finance - keeping up with new compliance regulations is a big deal. And yet, the work is not something that people can enjoy. 

RPA can help remove this type of work from everyone’s plate. The bots can be easily programmed to take over these repetitive back-office tasks because they’re rule-based. They can enable your employees to work safely from home and allocate their time and attention to more high-value tasks.

## Closing Words

A lot of companies have been forced into remote work. The coronavirus pandemic has put a lot of pressure on a lot of companies to accelerate digital upskilling and rethinking key processes and standard operating procedures on the fly hasn’t been an ideal scenario for anyone. 

However, top players have found a way to land on their feet quickly and use process automation software to help them with the adoption of remote work. 

During these last 12 months, we at Share IT have helped a lot of businesses make things work with RPAs. If you’re interested in learning more about the exact type of projects we completed for our customers that struggled with digital transformation and how we utilized RPA bots to help them prepare for the remote-first reality - feel free to [reach to us here](https://www.shareitsolutions.com/contact-us) and we can schedule a meeting to go over the details.

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Businesses across the globe are experiencing unprecedented difficulty adopting remote work. Here’s how RPA bots can help make the transition smoother.

How is RPA Changing Remote Work

Last week, we wrote our [first piece on RPA](https://www.shareitsolutions.com/blog/what-is-rpa). In that article, we explained the basics: what is RPA, how does it help businesses, and how to determine if it’s a good solution for the process you’re looking to optimize. 

[RPA has significantly grown in popularity](https://research.aimultiple.com/rpa-stats/) over the last 12 months. Enterprise-level businesses from various industries have started to invest heavily in this tech and, as the above-linked study suggests, their investments are starting to pay off. Over 30% of the businesses that were part of the AI Multiple survey reported significant boosts in productivity and compliance in the last couple of quarters.

This data alone proves what we have been talking to our customers for a some time - if executed correctly, RPA bots possess the power to automate mundane tasks and banish unnecessary manual work from your team’s plate. 

However, selecting which processes to automate and how is not simple. It takes some deeper thought to figure out what processes are a good fit for a bot and what needs to stay under a human. To help you make smarter decisions when it comes to using RPA bots, we decided to create a checklist of key factors you need to consider before you give your development team the green light.

## For Clarity, Let’s Underline Once Again what RPA is and How it Helps Businesses
![2.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/2_10c6eef19b_d9af2636c2.png)


As we explained in the previous article, robotic process automation, or RPA in short, is a technological solution that enables seamless building, deploying, and managing of software robots that replace human actions interacting with digital systems and software. 

The main business benefit of such a solution is to eliminate tedious tasks from the day-to-day life of people in a company and free them up to focus on their areas of genius. 

RPAs are built to increase productivity, speeding up work, eliminating unnecessary human errors from processes, cutting costs down to size, reducing risks, and the stress from the talent in the company.

For maximum efficiency, the jobs that RPA should replace have to be rote and low-level. And by rote and low-level, we mean pre-defined and structured, typically built around filling in electronic forms, processing transactions, or sending messages.

## Where to Use an RPA? Which Jobs and Industries are Usually a Good Fit?

RPA is a perfect solution for data entry, billing, order management, HR onboarding, and other areas that require lots of repetitive work.

Robot process automation is huge in the financial sector. Banks use RPA for loans reviews, invoice processing, and customer checks. Sales organizations use RPA to automate quotes and invoices. Businesses in the insurance sector use RPA to speed up claim adjudication. 

Yes, at this point, robot process automation sounds like a solution for literally everything, but it’s important to first dive deeper into the subject before we begin to think about it as our savoir. 

It’s important to keep in mind that RPA bots are not all-knowing and all-powerful. The level of intelligent you can expect from the bots has a limit. There have been some disappointments when people that to over-rely on the bots. 

If you want to keep your bots usable, you have to properly plan and execute rollouts. If you want to avoid failed RPA deployments, you need to be clear about what you want to automate before you opt for a RPA product.

## How to Pair the Right Solution with the Right Problem?
![3.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/3_7a96607a81_82b8cf6dc1.png)

Every single RPA solution uses its proprietary file formats. 

Yes, all of them bring benefits to the table, but you need to understand the pros and cons of every single one. 

You have to think about all the limitations and concept proof your “favorites” before you go for a rollout. If you make a mistake and go down the wrong path, fixing things later is going to be painful and expensive.

Your no.1 objective here is simple: 

- Break the problem down.
- Single out all the actions that you’re trying to fix/optimize.
- Verify that all basic features work in your environment.
- Think about the features you’ll need and differentiate them so you can justify each one’s existence.
- Build scripts using all the supplied tools and demonstrate that the process works flawlessly.
- Test out everything. Learn from what you see and apply changes while you still have the chance.

## Additional Questions to Answer Before You Rollout an RPA

Once you understand how to process of creating an RPA bot should look like and how to full-proof it, there are still a couple of other factors you need to pay attention to when deciding whether or not to invest in the development of a specific RPA solution.

- **How will the setup process look like?** - To make this work, you should focus on making it super easy to set up your bot for different personas. Your employees shouldn’t waste time learning how to handle a complex implementation process. To maximize everyone’s time, the installation process should come in a point and click form. 

- **What does the learning curve look like?** - It should be relatively easy to use the bot. It should function on a drag-and-drop principle or something equally simple.

- **Does the bot work in a way that the user needs it to?** - Some bots make sense only if they run on-demand (attended) when a business user needs them to perform a well-defined task—for example, "turn this graphic into text and put it on the clipboard." Other bots make more sense if they run in response to an event (unattended), such as "perform due diligence on each loan application submitted from the website." You need both kinds of bots.

- **Does the bot have machine learning capabilities?** - Your bot needs to be able to find the required numbers, and return them to the user. Some vendors and analysts call this hyper-automation, but the fancy language doesn't change the functionality.

- **Is it possible for a human to review the bot’s work?** - Yes, RPA automates processes with machine learning and eliminate human error from the equation. However, a piece of software can also make mistakes. When you build such a solution, you should make it possible for people in your team to submit cases for review. 

## Let’s Start Rockin’

Thank you for taking the time to read our latest blog post in its entirety. As you can see from everything written above, the success of your RPA implementation will depend on identifying the highest-reward processes and tasks for automation. For instance, if the highest-reward process for your businesses is to build a stronger customer service, make that your north star and ideate what processes under that part of work can RPA bots automate/improve for you and your team.

Our biggest advice when tackling with RPA is to focus heavily on testing. You have to foolproof your investment. If it turns out the RPA solution is not a 100% good fit - don’t be afraid to pivot. But pivot early! and you need to switch, you’re in for a world of hurt. Yeah, you will lose momentum and put more pressure on your development team, but by doing this - you’ll avoid bigger problems. Problems that will cost you a lot of time and money to fix.





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Building RPAs requires a lot of foolproofing. Read our latest article to learn what questions you need to answer before you invest in the creation of an RPA bot.

Key Factor to Consider Before Opting for RPA Software

According to the latest study conducted by [AI Multiple](https://research.aimultiple.com/rpa-stats/), RPA has experienced significant growth in popularity and adoption over the last 12 months. 

The same study brought to light that over 53% of enterprises (that have participated in the survey) have started to experiment with RPA. An impressive 30% of them have seen significant productivity and compliance improvements in the last couple of quarters. 

Top adopters have seen their investment in RPA payoff beyond their expectations which encouraged other businesses in their network to start playing around with this tech.

Even though there’s enough proof online that RPA has the power to help businesses perform better where it matters most, this is still a relatively new and unexplored concept. 

We at [Share It](https://www.shareitsolutions.com/) can tell you from experience that RPA requires proper design, planning, and governance to positively influence a business. 

To check all the boxes, you need to have some skills. If you don’t have experience working with RPA, your first attempts will probably require a lot of polishing.

Because of this fact alone, we decided to make today’s blog post an introductory piece to RPA. In today’s article, we’ll explain stuff like: what is an RPA, what it does, how you can successfully leverage its power for your business, and how to determine if it’s the right solution for your problem.

Without further ado, let’s dive in:

## What is RPA?
![2.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/2_b75120614d_cf210f9e6b.png)

Robotic process automation or RPA is a piece of tech that enables seamless building, deploying, and managing of software robots that emulate humans actions interacting with digital systems and software. 

In layman’s terms, these robots have the ability to communicate with tools and systems in the same way people do. They are able to understand what’s on a screen, complete the correct keystrokes, navigate systems, identify and extract data, and perform a wide range of defined actions. 

Because of this set of abilities alone, more CIOs are turning to RPA to help them eliminate tedious tasks from their day-to-day life and free up their talent to focus on higher-value work.

The tasks that usually get automated with RPA range from something as simple as generating an automatic response to an email to deploying thousands of bots, each programmed to automate jobs in an ERP system.

All you need to do is define a set of instructions for a robot to perform and wait for it to finish (as fast as possible, without any errors).

## How Does RPA Help Your Business?

Once we eliminate the obvious benefit of removing tedious tasks from your team’s plate and giving them to a bot that can execute them faster and with more precision, RPA can positively affect various departments of your business in different ways. 

From customer satisfaction and employee engagement to finance and resource utilization - RPA can remove unnecessary blockers from processes that make your information flow feel clunky. 

When you think about it as an investment, RPA can positively affect your business across the following points:

- **Higher efficiency and productivity** -  the team gets freed to focus on their areas of genius vs. being stuck updating basic information by hand. In addition to this, RPA eliminates the human error factor from the game, making it less stressful to double-check everything and fix problems that your over-exhausted team members create by looking at the same thing all day.

- **Faster information flow and delivery:** Since employees are no longer tasked with inserting and crunching data by hand, the information gets faster distributed. Bots work at lightning speed around the clock to properly copy, fetch, and deliver the necessary data.

In addition to better data management, RPA helps improved the quality of data, increased scope for data collection, and makes data analysis of data easier and more precise across the board.

- **Wage costs** - According to Almato’s research, close to [60% of businesses have stated that they’ve saved money by rolling out RPAs.](https://www.almato.com/blog/vorteile-von-rpa/)

That said, there’s a legitimate belief that more and more businesses are going to opt for things like investing in RPA and similar solutions than hiring personnel to do basic jobs. 

In one of VentureBeat’s articles, various [AI experts expressed concern that robots are going to take over the low-end positions from humans](https://venturebeat.com/2017/07/25/ai-expert-worry-more-about-jobs-than-killer-robots/) and that we need to learn how to adapt and work in sync, not against emerging tech. 

- **Less risk:** RPA projects are usually low risk, meaning that they are completed quickly without disturbing existing systems. Since they eliminate the human factor from the various processes, manual errors get also cut down to size. 

However, this doesn’t mean that RPA is a fail-proof solution. RPA bots are not impervious to malfunctions. They require monitoring and maintenance.

## How to Determine if a Specific Process Should be Replaced with an RPA Bot?
![3.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/3_2a485b733a_d5cbf7548c.png)

Evaluating your internal processes and workflows that would be good candidates for RPA is a whole different topic that requires a lot of explaining. We’ll go deeper into this in one of our upcoming blog posts.

But, since we already opened Pandora’s box, here are some key factors worth singling out early (since they can help you and your team get a better handle on what RPA is and how it could be useful). 

These factors will help you paint the full picture of developing and implementing RPA solutions for your non-technical colleagues across the company. 

When you open up the conversation and start discussing wheater or not a process could be improved with an RPA, try to determine one thing right from the start:

**- Does the process you’re currently discussing require people to do a high volume of repetitive data work?**

If the answer is yes, then you can continue the conversation and discuss the actual benefit of removing this sort of activity from people’s plate and giving it to robots to execute.

In addition to this, there are a couple of other basic follow up questions that you need to ask early when determining possible RPA fits:

**- Is the process rule-based?** - If so, then it’s a good fit for an RPA.

**- Is the process repeated at regular intervals?** - If so, RPA could probably successfully “upgrade” it.

**- Does the process have defined inputs and outputs?** - If it doesn’t, it will be difficult for the robot to execute it.

**- What’s the volume of the reparations in this process?** - If this process doesn’t require frequent updates and changes, then you shouldn’t really waste your RPA investment on it.

## Over to You

Thank you for taking the time to read our latest blog post. We hope it helped you understand what is RPA and how it can help your business. 

Obviously, this is the first piece on this topic - we plan to go deeper into it in the upcoming weeks and explain everything you need to know regarding investing in RPA. 

However, if you have questions that we haven’t answered in this post and you want to acquire more knowledge on this topic ASAP - feel free to [reach out to us](https://www.shareitsolutions.com/contact-us) directly! Our team of engineers is happy to talk to you and help you create RPA-based solutions for your business!

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Interested in learning about RPAs (robot processing automation) and this tech can help you improve your business processes? Read on!

What is RPA and Why You Should Care About It?

We’re continuing to develop our DevOps knowledge base on the blog. 

Two weeks ago, we covered the [basics of DevOps](https://www.shareitsolutions.com/blog/devops-beginner-guide-app). We wrote about what DevOps is, what are the main goals of a DevOps team, what tools do DevOps teams use, and more. In that article, we tried to introduce our audience to all the fundamental information they need to know to get started with DevOps. 

Last week, we decided to go a bit deeper into the subject matter and explore where DevOps ranks among other modern process frameworks. We focused primarily on the differences between DevOps and Agile.

Since we touched upon the main objectives and skills needed to successfully operate in a DevOps and Agile-centric system, we decided right there and then to make this week’s post about that - competencies needed to successfully work in a DevOps team.

So, without unnecessary delay, here are the 7 skills needed to become a great DevOps engineer.

## 1. Executive Decision Making
![2.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/2_7611e5176d_da71a014ae.png)

The life of DevOps lead is certainly an exciting one, filled with quick decision-making. 

To be successful at this job, you cannot be an indecisive person. Not even for a minute. A lot of people depend on your ability to quickly gather all the necessary information needed for you to provide them with actionable feedback on how to move forward, pivot, or implement change. 

DevOps leads work in an ever-changing, hustle-heavy environment where decisions like how to fix any incoherent elements of the code carry a lot of weight. That’s why decisiveness is one of the key skills hiring managers look for when recruiting DevOps engineers. 

If you don’t have those skills, we urge you to work on them before you apply to any DevOps-related position.

## 2. People Management Skills / Strong Communication Skills

This is a no-brainer. The main objective of every DevOps team is to improve the relationship between development and IT operations. By improving, people usually mean enabling better communication and collaboration between the two mentioned departments. 

When developers and the operation team communicate with each other effectively, applications get created and deployed faster and smoother. Having good communication leads to fewer errors and therefore lower costs and improves the quality of the code.

Although “being an effective communicator and bridge between departments” may seem somewhat simple, this is never an easy job. The two departments operate often differently so the DevOps engineer needs to tackle a lot of bottlenecks in communication to successfully deploy the code and bridge the gap between the two units.

Apart from being detail-oriented, well-organized, and native in scripting and coding - a DevOps engineer also needs to be open-minded and collaborative to carry out the process successfully from start to finish.

So, if you’re thinking about working in a DevOps team, we highly advise you to work on your communication and project management skills. Be open to criticism, feedback, and embrace context switching as part of your daily routine. 

### 3. Flexibility
![3.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/3_c5fe047469_281e9a7ed2.png)

Every developer will tell you the same: coding is a fluid, often unpredictable process. You start with a plan and then you tackle new challenges along the way. Regardless of how skilled you are, it’s important to accept the fact that this is an ever-changing process. Quite often, you’ll be forced to go back and iterate your work. 

That said, DevOps engineers have to embrace this as a regular part of their routine and learn how to continuously develop and integrate new systems and operations into the code. A DevOps engineer must have flexible working skills and adapt to the changing code.

Integration, testing, releasing, deployment - these are all crucial responsibilities of a DevOps engineer so you have to be open to moving up and down the production line and tackling challenges along the way.

Continuous Integration, for example, requires the technical skills to manage change quickly and efficiently, as well as being able to work collaboratively in a team to guarantee everyone is working towards the same goal.

## 4. Cyber Security Skills

Yes, the core responsibility of a DevOps team is to improve and accelerate the development and deployment of code, but not at all costs. 

It’s the DevOps team’s job to ensure that all the crucial components and changes are implemented as safely as possible. 

When we try to accelerate development and deployment processes, this usually opens the product to risk. Therefore, as engineers, we have to open our eyes as much as possible and make sure that we’re protecting applications from unwanted attacks. In addition to that, we have to do our best to build systems that have defense mechanisms in place against common cybersecurity problems.

A DevOps engineer plays a key role here. It’s the engineer’s job to ensure that all the security systems are in place before even a line of code is written.  

If security is not in place from the outset - the consequences can be hard to bear. The whole project can easily fall victim to cyber-attacks.

## 5. Understanding How to Read and Write Code
![4.png](https://res.cloudinary.com/dsxbnby76/image/upload/v1682337442/4_ca6af0762a_c8221ba5d1.png)

Since this job revolves around (among other things) improving the performance and deployment of code, a DevOps engineer needs to know how to read, write, and optimize code. [JavaScript](https://www.javascript.com/), [Python](https://www.python.org/), [Perl](https://www.perl.org/), [Ruby](https://www.ruby-lang.org/en/) - it doesn’t really matter what specific code. To become successful in this business, you have to understand the core tool that you’re using to improve and accelerate the overall process of product creation. 

If you don’t understand the fundamentals, you won’t be able to help others remove bottlenecks from their everyday work. 

From writing manual code to replacing manual processes such as assigning IP addresses or DNS codes, there must be someone with the ability to write them and that’s what the perfect candidate should be able to do.

## Over to You

Thank you for taking the time to read our latest article. We hope it helped you understand what skills are needed to become a successful DevOps engineer. If you have some questions about the information that was shared in this article and are looking for more information on this topic - feel free to [send us a message here](https://www.shareitsolutions.com/contact-us). 

Our DevOps engineers are happy to talk to you and guide you in the right direction to build up specific skills that you might be lacking to grow into this role.


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Interested in becoming a DevOps engineer? Here are 5 crucial skills you need to have in order to be successful in this role.

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