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Intelligent Automation and Its Application Across Industries

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Intelligent automation (IA) is revolutionizing businesses, streamlining their internal workflows in order to provide high-quality end services.

What does intelligent automation include, and how many benefits is it able to introduce for businesses in different industries? We covered these questions in the following post, keep reading.

What is intelligent automation?

Intelligent automation is the process of adoption of cognitive technologies like artificial intelligence (AI), robotic process automation (RPA), and business process management (BPM) for the purpose of streamlining the internal business processes and following a data-driven approach in vital decision-making.

Overall, business process automation is tasked with facilitating the day-to-day operation within a company and directing the resources to more important and more complex tasks, freeing them thanks to workflow automation.

Intelligent process automation can be and must be applied in many industries in order to simplify and fasten daily operations, reduce spending and make precise forecasts.

Components of intelligent automation

Basically, automated processes include three primary technologies—AI, RPA, and BPM. Let’s take a closer look at the options of each of these innovations.

Components of Intelligent Automation

Artificial Intelligence
Artificial Intelligence (AI) is the fundamental technology of intelligent business process automation. This technology is rapidly being adopted in different kinds of business software systems to hold unstructured data collection and analysis (from internal and external sources) in order to use these analytical reports for predictions related to business development and market growth.
Robotic process automation
Robotic process automation (RPA) entails the utilization of software robotsbots that will partially eliminate human resources and will execute simple repetitive tasks like collection and validation of data from various filesdocuments, customer onboarding, finance planning, automate software updates, and more.
Business process management
Business process management is responsible for the automation of internal organization workflows in order to streamline and make day-to-day operations more efficient and decrease the engagement of human resources.

Benefits of Intelligent Automation

Many trusted sources like Gartner, Deloitte, IBM, etc. insist on the importance and inevitability of adopting intelligent process automation tools by businesses of diverse specifics and sizes.

But what real values and advantages can businesses take from these innovations for their scaling and growth? We have researched the core benefits companies received after the implementation of intelligent automation technologies.

Data-driven decisions

Business process automation technology is tasked with eliminating the extraction of incorrect data from various sources. Making the data more precise, IA technologies enhances the data-driven approach that organization with valuable insights to make the right business decisions related to company strategies.

Fasten the daily processes

Thanks to the automation of many internal workflows, all day-to-day processes become faster, providing customers with a seamless experience and quick responses that have a huge impact on interaction with your company and its results for your income.

For instance, RPA-powered bots provide customer support 247 instead of your employees.

Reduce costs

Following accurate data analysis and process automation, intelligent tools provide the capabilities of reducing the need for the workforce in particular company branches that lower costs for payrolls, enhance overall efficiency and productivity, and increase ROI.

Enhanced customer experience

By providing customers with constant support and quick responses, you increase the loyalty and customer experience they get from interacting with your brand. Due to the rich competition within your industry, it gives your company a huge privilege and reliability to your servicesproducts.

Compliance and regulations

Depending on the type of business app and business niche, the companies should take into consideration the data security regulations and compliance. Intelligent automation is able to follow the latest updates of these regulations and automate the process of implementing them within software systems.

Industries where IA can be applied

Intelligent automation has been already adopted by businesses to different specializations in industries for the purpose of streamlining and automating internal processes. Here below, you can replenish your knowledge about more examples of intelligent process automation technology within various business industries.

Intelligent Automation in Manufacturing

Intelligent automation enabled digital transformation in the manufacturing niche, particularly Industry 4.0 and 5.0. The industry has adopted innovative tools and new technologies including AR/VR, 3D printing, Internet of Things, artificial intelligence, machine learning, robotic process automation, and more.

These technology tools aim to eliminate human intervention and automate internal processes like:

  • proper and quick processing of huge amounts of data;
  • predictions based on data analytics;
  • Increase quality control due to computer vision integration;
  • robots execute particular tasks instead of humans.
Learn more about automation tools in manufacturing from our blog at the following link.

Intelligent Automation in Logistics and Transportation

The implementation of intelligent technology within the logistics industry drives the process automation and optimization for the purpose of providing improved customer journey, particularly:

  • Eliminating the risk of low-stocks by precise supply planning for each company branch;
  • AI-powered cars or drones to offer unmanned delivery;
  • Optimized transportation routes to make the delivery faster and less spendy.

Intelligent Automation in Healthcare

The healthcare industry keeps up with all innovations on the market in order to improve medical services and treatment courses as well. Thus, some medical facilities have already adopted robotic process automation that eliminates the doctors during different kinds of operations.

Artificial intelligence is already widely used within healthcare software systems to process huge amounts of medical information about each patient in order to provide an accurate diagnosis and therefore personalized treatment plans.

Intelligent automation ensures seamless patient experience and effective treatment like:

  • Remote health monitoring using medial wearables connected with IoT technology to medical software system;
  • Surgeries performed by robots eliminate the possible human error;
  • Robots instead of nurses and aid ladies to keep the sterile cleanliness, provide patients with medications, assist in cases of emergency, etc.;
  • Replace doctor consultations with robotic remote appointments with light symptoms.

Intelligent Automation in Real Estate

The real estate industry is now on the stage of digital transformation rapidly. Before, the variety of real estate automation tools was quite narrow, with no single solution for property management. However, now real estate businesses seek effective software solutions to run the business successfully. Intelligence automation is tasked with the automation of the internal processes and operations to enhance:

  • Property management—real-time information about each object is stored and managed within one system that is accessible from various devices and locations;
  • Tenant management and experience—all tenant requestscomplaints are added to the property management platform;
  • Payments controlling—it includes monthly rent payments ensuring secure transactions, taxes, collection bills and invoices, and more;
  • IA-based tenant finder—finding the matching tenants to the particular property automatically.

Intelligent Automation in Banking and Finance

Intelligent automation is capable of automating daily operations within banking facilities like scheduled payments, quickly accessing the credit history of each customer, robotic assistants to provide financial services 247, and so on.

In addition, intelligent automation tools are responsible for storing all data for the world year of working in order to analyze it and make predictions, avoiding past mistakes in finance planning.

Intelligent Automation in Insurance

The adoption of intelligent automation technologies within insurance companies makes the automated calculations and risk prediction for each customer more precise and based on AI-analyzed customer data and behaviors.

Also, IA aims to reduce the papers and automates payments and claims confirmations. In addition, intelligent automation provides insurance companies with the recent update to compliance regulations so that companies could adjust to changes and meet their demand.

Risks related to intelligent automation

The process of implementing intelligent automation technologies is challenging and entails lots of risks that are obvious to predict before the integration. All these concerns are manageable, but they need to be processed in time.

Risks of Intelligent Automation

Unfeasible business processes

Before implementing intelligent automation technologies and tools, you need to prepare your common workflows for changes. All day-to-day operations can be divided into two groups – repetitive and on-time. Intelligent automation will have no impact on one-time tasks, but on the contrary, may increase their efficiency.

Talking about the existing processes, they need to change gradually to avoid business process failure and loss of the company feasibility. Intelligent automation brings an advantage, but it is vital to consider the complexity and peculiarities of all business workflows that are going to be transformed.

Data leakage

The threat of data breaches is common for all types of business process automation applications. The variety of cyberattacks is constantly increasing, so it is pivotal to develop and implement cybersecurity policies to use within your software systems. Among top security measures, we would like to note:

  • strong password policy;
  • multi-factor user authentication;
  • restricted access to sensitive data;
  • managing the level of access of all devices and external data sources connected to your internal system;
  • alerting about unauthorized access, etc.

In addition, intelligent automation toolsets have to be developed and integrated due to the official compliance and data security regulations common for certain industries.

Perspectives of intelligent technologies for your business

All efforts toward the digital transformation of your business should correlate with the issues you face and the perspectives of your business development. Business app development integrated with intelligent automation technologies has to lead your business to successful outcomes. So it is important to reconcile your business opportunities to the technologies you are willing to adopt.

In another case, the solution will be non-functional and useless for the automation of your workflows that are not ready for the innovations.

The future of IA

The presence of innovative technologies within businesses is expected to grow. Although, the process of implementation of intelligent automation should not be a chaotic flow but has to entail a precise and strategy-based approach. Intelligent automation helps businesses to achieve their goals and plan execution faster and more efficiently.

However, before implementing robots or AI-powered solution, you need to correlate the internal stable workflows with new processes to appear within the company.

The workforce introduced by intelligent automation technologies is capable of filling the gaps in human skills and possible errors, driving the company growth and ROI, bringing your business a competitive advantage on the market. So businesses of different directions will undoubtedly look for ways of adopting innovations, considering the potential risks.

However, such technologies like artificial intelligence and machine learning aim to help businesses make predictions on any possible risks and threats to their companies by integrating the workflows with suitable risk management approaches and solutions.


Intelligent automation includes innovative technologies like artificial intelligence and cognitive technologies, particularly machine learning, natural language processing, robotic process automation, intelligent and optical character, visual recognition. To find out which technologies are a must for your business today—schedule a free consultation with our experts.
Before implementing, you need to ensure the readiness of your company and internal solution to integrate intelligent automation tools. Our experts will consult you more in detail about your particular case.

How our team can help

The process of adopting intelligent automation technologies will be seamless and successful for your business under the condition of choosing the correct strategy, approach, and tech solutions your company currently requires. The potential of natural language processing, RPA, or AI for business is huge, but we insist on considering your company’s specifics to check what issues should be resolved and what changes your business is now ready for.

Our team has provided business consulting and custom software development services for the last 11 years. We have become proficient in the specifics of diverse business industries, and also we are aware of the importance of taking into account the peculiarities and requirements of each business company separately.

To sum up

Being aware of the intelligent automation technologies, we are ready to hold consulting services for your case to discuss the potential need for the adoption of artificial intelligence, machine learning, or robotic process automation within your company.

We can also review the existing software your company uses to see the real potential and ability to be integrated with intelligent automation tools and build the right strategy for business digital transformation.


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