Process automation has long ceased to seem like science fiction and has become the present. The competitive advantage it represents in the usual operations of a company, saving large amounts of time and money, has made it a procedure to implement if, simply, we want to survive in an increasingly changing market.

Thanks to automation, tasks that previously had to be done by hand can now be done automatically. This also means that the company’s procedures and operations can be carried out 24/7. Every day of the week, Every week of the year. Helped by technology such as marketing automation, creating a sales system, managing the CRM database or simply maintaining production throughout the day is possible. Furthermore, if we know what machine learning is, we will understand that these are processes that optimize themselves, becoming better and better.

Intelligent automation involves the combination of three elements: RPA, artificial intelligence (AI) and Machine Learning. We must start from the fact that the digital transformation of a company is going to need more than one technology, so robotic process automation is going to need artificial intelligence so that the automation of processes is carried out in prior analyzes and decisions that involve AI.

What are the bases of intelligent automation?

If you want to apply Intelligent automation specialist in your company, you must know its
foundations, which are as follows:

  • Business process management (BPM – Business Process Management): BPM is a business management discipline that integrates various techniques and technologies to achieve continuous improvement in the organization’s processes.

  • RPA (Robotic Process Automation): It involves the use of robot software that performs monotonous and repetitive tasks automatically, for example, entering data into various applications. RPA adds value to the company because it facilitates decision-making processes, allows employees to dedicate themselves to other tasks that are more relevant to the organization and improves the relationship with customers.
  • Artificial Intelligence (AI): It involves the simulation, by a machine, of human intelligence. That is, a robot learns and reasons like a person. AI encompasses other technologies such as Machine Learning, Deep Learning, NLP (Natural Language Processing), visual recognition or Big Data, among others.
  • Integration Between Systems: The integration between different systems is the key piece of intelligent automation. One of the most important problems for companies is generated when several software must be used to perform various tasks and integration between all of them is not possible, so the information and time dedicated to each task are duplicated. With intelligent automation, an API (Application Programming Interface) is offered that allows various applications to interact.

When Would Companies Use Process Automation?

The companies turn to process Intelligence Automation in a variety of scenarios, all objectives on improving efficiency, reducing errors, and freeing up employees for more strategic tasks. Here are some examples of when a company could use a process Intelligence Automation solution.

1. Repetitive Tasks

If a company has tasks that are repetitive and time-consuming, such as data entry, form filling, ticketing system or report generation, process automation can be used to perform these tasks more efficiently and accurately. This process not only saves time but also reduces risk-free human errors.

2. Streamlining Processes

Streamlining Processes typically employ process automation to help in the streamline of the company. This workflow automation could be anything from automating the employee onboarding process to streamlining the handling of service requests. By automating these processes, companies can ensure consistency and efficiency.

3. Reducing Costs

Process automation can lead to significant cost savings. By using process workflows to automate routine tasks, companies can reduce the need for manual labour, leading to lower operational costs.

4. Risk Management And Compliance

Companies in regulated industries often use process and automation technologies to ensure compliance with regulations. Automated processes can be designed to follow specific rules and standards, reducing the risk of non-compliance.

5. Data Analysis And Decision-Making

Process automation tools often come with analytics capabilities that can provide valuable insights into business operations. These inputs can be used in change management helping the organisation to make better-informed decisions resulting in a better outcome for the company.

Process automation is a versatile tool that can be used in a variety of scenarios to improve efficiency, reduce costs, and enhance customer service. By identifying tasks that are suitable for automation, companies can make the most of this technology and reap its many benefits.

Challenges of Intelligent Automation

Intelligent automation presents a multitude of challenges due to the complexity of the technology and its constant evolution, and the fact that the use of artificial intelligence as an everyday business software tool remains nascent. When it comes to implementing intelligent automation, think about the challenges in two main blocks: technical and company challenges.

Technical challenges include:

  • Complexity of integration: Intelligent automation often requires integration with existing systems and processes, which can be complex and time-consuming. This may require integrating AI solutions with legacy systems, managing multiple vendors, and ensuring data flows are carried out efficiently across systems.
  • Data quality issues: Intelligent automation relies heavily on high-quality data, so organizations may face issues arising from data silos, incomplete or inaccurate information, or security issues. If data quality is poor, realizing the full potential of AI solutions can be difficult.
  • Governance and compliance challenges: Organizations must ensure that AI solutions meet regulatory requirements and internal policies and procedures.

Conclusion

At Emergen Teck, we are convinced that intelligent automation will become, shortly, the technology that will differentiate one company from another and will allow small and medium- sized companies to compete on equal terms with larger ones. Emergen Teck includes the tools needed to implement automation across the enterprise, such as event-driven solutions, analytics systems, content tools, and playbooks. Emergen Teck offers a visual dashboard, role-based access control, and other tools for your team to focus and control your IT infrastructure, reducing operational complexity.

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