What is Intelligent Process Automation in companies?

Intelligent Process Automation in enterprises has changed the world very rapidly in recent years. COVID-19, supply chain disruptions and other current crises have forced new development strategies to be employed in a large number of industries. 

The adaptation period is still in process and artificial intelligence and automation are nowadays indispensable elements in modern industries. What's more, 2022 will be the year in which the artificial intelligence from experimental to essential in the companies.

The fact is that process automation in a company may seem complicated, difficult to implement or even unattainable for many companies, especially for SMEs that do not have large budgets, but by implementing simple automation processes, small and medium-sized companies can operate as efficiently as large corporations and achieve good results.

IPA (Intelligent Process Automation) can be a powerful tool to make your team more efficient, effective and achieve better results. as it is a fusion of several technologies, such as: digital process automation (DPA), robotic process automation (RPA) and artificial intelligence (AI), which are used to automate large decision making business processes.

Three factors contributed to the expansion of these new technologies:

• The first is the cloudwhich provides access to high computing power on demand.
• The second is the dizzying amount of data  that are produced. The 90% of data worldwide was created in the last two years alone.
• The third factor is the new tools that the company can easily implement and integrate.

Artificial Intelligence and Intelligent Process Automation in companies Why is it important?

Tangible benefits of data

We live in a world where data is of great importance and as data sets grow, they are not always easy to manage, leaving a large part of them unused. This is where the benefit of automation lies, since, thanks to the new automated tools based on artificial intelligence allow the discovery of hidden knowledge in the data and find the data needed faster to use it and act accordingly. 

They can also perform tasks such as startup, optimization and upgrades, while providing excellent availability, performance and security at a significantly lower cost.

One issue worth mentioning in the case of data automation is that errors are reduced. With automation implemented correctly, errors are extremely rare.And, for example, erroneous data in these tools are human-induced by incorrect data entry (by the customer or the employee).

Entrusting the task to an automated process ensures that errors are minimized and the work is expedited.

2. Improve cyber security in companies.

Another area where people are unable to keep up with technologies is corporate cybersecurity. The fight against threats on the Internet is spreading rapidly and it is increasingly difficult to act by manual means. 

One person is not able to control such a large number of devices, applications, users, security breaches and megabytes in log files, nor react to events at a speed adapted to the requirements of today's world.

Companies will need artificial intelligence and automation to detect, prevent and respond to security breaches, fraudsystem anomalies and vulnerabilities quickly and efficiently.

Only another machine can fight the machine effectively.

3. Reduces employee workload and improves operational activities.

Automation, contrary to some people's fears, does not replace human beings, but allows them to focus on more important tasks or issues that require more attention to reduce workload.

The 47% of organizations with high sales performance think it is necessary to adopt an automation process.

The cloud simplifies many processes and artificial intelligence can automate many of the monitoring and control tasks that are necessary to keep your system running efficiently, detecting anomalies that might escape a human and therefore allowing better optimization of system performance.

In addition, through the algorithms of machine learning can discover data patterns and classify them for your team to analyze information about those patterns and improve operational activities by those predictions.

Automation means that fewer man-hours are required for specific tasks. With fewer processes and repetitive tasks, a company's team members can do more and better, as more complex processes become really simple.

4. Increases the efficiency of the company

AI capabilities integrated into key business applications, such as enterprise resource management (ERP), human resources (HCM), supply chain systems (HCM) or sales and marketing systems, enable professionals in all departments to make decisions more easily and efficiently. 

The automation makes it possible to react more quickly when you need it most; as process automation can analyze large incoming data in a short time: your emails, web forms, social networks, system data, possible non-payment...

In the financial departmentcan streamline tasks such as negotiating with suppliers, especially at the end of the quarter, for example, when the company wants to optimize cash flow and balance costs.

In the human resources departmentThese new technologies will enable recruiters to accurately select the best candidates in a much shorter time. 

If we use the automation for customer serviceA notable advantage will be to streamline this service, with the possibility of answering most of the questions without the intervention of any employee.

If, on the other hand, the automation is to streamline processes in an e-commerce store.The new system will help employees avoid having to perform tasks such as: updating the number of products available, filling out labels or contacting the person who abandoned the cart while shopping. As a result, the customer gets what they want faster, whether it is information, product or service.

Therefore, in whichever sector it is applied, a higher resolution speed is always obtained.

Intelligent CRM and business software

Sales optimization software to predictively know what goods and/or services to offer to each customer, when to offer them and how to increase sales through machine learning and data analysis.

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