The Intelligent Process Automation (IPA) Market was valued at USD 14.4 billion in 2023. It is expected to grow from USD 16.2 billion in 2024 to USD 42.1 billion by 2032, reflecting a compound annual growth rate (CAGR) of 12.6% during the forecast period (2024–2032).
Source: Market Research Future

Combining Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), and data analytics, IPA has become the next frontier in operational transformation. The best part is that just about every organization can take advantage of its benefits to streamline, simplify, and enhance their in-office, remote, and hybrid workflows while reducing costs and improving overall efficiency.

What is Intelligent Process Automation (IPA)?

Intelligent Process Automation (IPA) refers to integrating AI and advanced technologies with traditional automation tools to optimize and transform business processes. Unlike basic automation, which follows predefined rules, IPA can adapt, learn, and improve over time.

IPA consists of 5 core components:

1. Robotic Process Automation (RPA): Automates repetitive tasks such as data entry or invoice processing.
2. Artificial Intelligence (AI): Powers decision-making and enables systems to understand and process natural language, recognize patterns, and generate insights.
3. Machine Learning (ML): Facilitates continuous learning from data to improve predictions and outcomes.
4. Natural Language Processing (NLP): Enhances communication capabilities, allowing systems to “understand” text and speech.
5. Data Analytics: Provides real-time insights for better decision-making and performance optimization.

How IPA Works

IPA involves a multi-step approach to business process automation:

• Data Collection: Systems gather structured and unstructured data from various sources, including documents, emails, and databases.
• Process Analysis: AI and data analytics analyze workflows to identify inefficiencies and areas for process improvement.
• Workflow Automation: Processes are designed for automation, incorporating RPA for repetitive tasks and AI for decision-making.
• Implementation: Automation tools execute tasks guided by ML algorithms that adapt to changing conditions.
• Continuous Optimization: AI continuously monitors performance, learns from outcomes, and suggests refinements for greater efficiency.

This multi-step approach ensures that IPA solutions remain responsive and adapt to evolving business needs affected by consumer behavior, economics, or other external or internal factors.

The Key Benefits of IPA

The global intelligent process automation market was valued at $14.55 billion in 2024 and is projected to grow at a CAGR of 22.6% between 2025 and 2030. With such immense value and projected growth, this technology is already proving highly beneficial across industries and business functions.

Here are some of the most prevalent benefits:

1. Enhanced Efficiency and Productivity

IPA automates time-consuming, repetitive tasks, freeing employees up to focus on more value-added activities. For example, automating data entry or approving invoice requests reduces manual intervention, accelerates task completion, and minimizes errors. This results in significant productivity gains and improved operational efficiency.

2. Cost Reduction

By automating manual processes, businesses can significantly reduce their labor costs while improving accuracy. IPA also helps avoid the costs associated with errors, delays, and inefficiencies, and over time, these savings improve bottom lines.

3. Improved Accuracy and Compliance

Human error costs businesses billions every year, with one example being the $500 million clerical error that led to a legal dispute between Citigroup Inc. and Revlon. IPA eliminates this risk by ensuring consistent, error-free reporting. AI-driven analytics also monitor compliance with regulations, flagging potential issues before they escalate.

4. Enhanced Customer Experience

IPA makes it easier for businesses to deliver faster, more personalized customer service. NLP-powered chatbots can handle routine customer inquiries instantly, while AI analyzes customer behavior to offer tailored recommendations. This targeted personalization improves customer satisfaction and builds loyalty.

5. Data-Driven Insights

IPA integrates advanced analytics to provide actionable insights in real-time. This makes it easier for organizations to make informed decisions, anticipate market trends, and respond proactively to challenges. By uncovering patterns in data, IPA also helps to optimize workflows and identify new growth opportunities. With work models changing and remote and hybrid work becoming more commonplace, this data is invaluable in ensuring teams can function at their optimal.

6. Faster Decision-Making

In many industries, the ability to make timely decisions is critical. IPA accelerates decision-making by processing vast amounts of data quickly and accurately. One example of this is finance, where IPA can analyze credit risk and approve loan applications within seconds. This speeds up results and improves customer satisfaction, too.

7. Scalability and Flexibility

As organizations grow, managing increased workloads can put considerable strain on resources, especially if teams are spread out geographically. IPA solutions are scalable, allowing businesses to handle higher volumes without compromising quality or efficiency. IPA’s innate adaptability also ensures it can be tailored to specific industry needs and use cases.

Applications of IPA Across Industries

Intelligent Process Automation is a powerful tool that is transforming operations across various sectors, and these are just a few examples of where it’s being put to good use:

Banking and Finance

According to a recent Deloitte study, banks using automation have reported an average of 30% reduction in fraud losses, which is an enormous sum overall. In action, IPA automates essential tasks such as loan origination, fraud detection, and compliance reporting. By reducing processing times and improving accuracy, it establishes greater customer trust and operational efficiency, and it reduces risk for lenders, too.

Healthcare

IPA plays a significant role in streamlining patient admissions, billing, and insurance claims, ensuring smoother workflows and reduced clerical errors. Its AI-powered analytics also supports diagnostics and treatment planning, which contributes to better patient outcomes.

Retail

The retail sector benefits from IPA through improved inventory management, demand forecasting, and personalized marketing strategies. Automation ensures smoother operations, while AI insights can be used to improve the customer shopping experience.

Manufacturing processes

IPA is particularly beneficial in supply chain management, quality control, and equipment maintenance. Predictive analytics help to anticipate equipment failures, which in turn minimizes downtime and maximizes productivity.

HR

In an era where 71% of companies allow remote work permanently and a vast number of people prioritize this working model when searching for new employment, Human Resources professionals need to focus on employee engagement and development and increasing productivity, satisfaction, and retention across the board. IPA is an excellent option for automating repetitive tasks that are human resource-heavy, including recruitment, onboarding, payroll processing, and performance evaluations. This frees up HR teams to direct their attention to the areas that best serve the business and its employees.

Conclusion

It’s evident that Intelligent Process Automation is already revolutionizing the way organizations operate, and there’s plenty more to come.

By combining the capabilities of AI, ML, RPA, and analytics, IPA enables businesses to achieve unparalleled efficiency, accuracy, and agility. From improving customer experiences to enhancing decision-making, its benefits are far-reaching and transformative.

As technology continues to advance, IPA will undoubtedly become crucial to business operations, empowering organizations in all sectors to innovate, adapt, and thrive.

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ChatGPT is a conversational SaaS AI chatbot developed by OpenAI that generates human-like text conversations utilizing Natural Language Processing (NLP). It has been designed to help businesses save valuable time by automating various processes and tasks like customer service conversations, content and code creation, editing, and even code debugging. ChatGPT is powered by AI models that can generate text based on the context of the conversation. It is a large language model (LLM), based on the GPT-3.5 language model. This model is trained on huge amounts of data from different sources to predict the next word in a series of them and generate meaningful responses within a conversation.  

To demonstrate the vast difference between ChatGPT and similar chatbots powered by AI, consider that GPT-3 has 175 billion parameters and was trained on 570 gigabytes of text. Its predecessor, GPT-2, had only 1.5 billion parameters, which was 100 times smaller. 

What are the Benefits of ChatGPT? 

ChatGPT offers a range of benefits, from reducing the time and cost associated with customer service to providing personalized experiences. Using ChatGPT can bring more benefits including more accurate content creation, its capacity to generate natural and conversational language responses, its scalability across different applications, and its ease of integration with existing systems and frameworks. Additionally, developers can utilize it to accelerate their development and coding skills, as it can generate lines of code in a matter of seconds. 

What are the Limitations of ChatGPT?

While ChatGPT has many advantages, it is important to understand its limitations in order to make the most out of it. Some limitations of ChatGPT have to do with its answer accuracy and coverage, its training methods, and data requirements. Many users have noted that they get incorrect responses that may seem as good to go with, while others claim that the ChatGPT didn’t reply to questions that refer to very recent events. Also, a significant number of users believe that the software lacks personalization, as it produces the same answers to similar questions by different users, especially when it comes to content marketing.  

In general, we should be aware of all the limitations, in order to present potential solutions for overcoming these obstacles and maximize the utility of ChatGPT. We should also explore how to integrate ChatGPT in our business in order to use it in a variety of contexts with different data sets as well as how it can be adapted to better fit our specific needs. 

What are some Business Use Cases of ChatGPT? 

1. ChatGPT for Marketing 

In general, there are numerous applications of AI in marketing/ markets. Businesses have already started implementing AI to support their marketing efforts and enhance decision-making.  

ChatGPT comes to the rescue for marketers as it helps them create engaging, personalized conversations with their customers. It can be used to generate automated customer support responses, create marketing campaigns, and even optimize content for SEO. ChatGPT can also be used to generate product recommendations and other personalized content. With its advanced natural language processing capabilities, ChatGPT can help marketers create highly targeted and effective campaigns.  

In this article on how to integrate ChatGPT in your business automation, we present an example of ChatGPT use in marketing in the form of the newsletter content. Now, let’s elaborate more on this example and suppose we desire to optimize the content for SEO.  

In the following example, I want to write content about RPA benefits and optimize it for SEO 

What would a marketer ask to ChatGpt? 

Here is my initial question:

Great, but since my goal is to end up with an optimized piece of content that will enhance the overall reader experience, I asked it to create some headings. 

As the next step, I wanted to make sure that the content is easy–to-read, and that readers can take the most out of each bullet point at a glance. So, I asked ChatGPT to highlight the most important parts of each bullet point. 

Then, I was curious about the keywords this content can rank for. Here is ChatGPT’s response.  

Honestly, some of them may work as the RPA benefits, and RPA software benefits. However, I am a little bit pessimistic regarding the rest keywords, as they are too general. It seems that ChatGPT took some words from the content and presented them as focus keywords. These words could be a keyword for a section about any similar technology, like AI or low-code development, right? 

Finally, I asked for a good-to-go SEO title for this section.  

These headings seem agreeable; therefore, I believe that they could work.  

To sum up, SEO optimization is an important part of any digital marketing strategy. As the competition increases, it is becoming more and more difficult to rank higher in search engine results pages (SERPs). By leveraging the power of AI, it helps marketers save time and effort when generating keywords and phrases relevant to their content. 

However, it is important to be cautious when using ChatGPT for SEO optimization. It should be used as a supplement to other SEO techniques and not as a replacement. It is also important to evaluate the generated keywords and phrases before implementing them into your content. 

2. ChatGPT for IT/engineering 

With the help of ChatGPT, developers can ask for help in coding or even write the code from scratch in order to create applications within a specific scenario. ChatGPT can greatly enhance code writing, documentation, and review. By using ChatGPT, developers can streamline their workflows, improve their productivity, reduce development costs and time, and create applications that otherwise would require more time and effort to be built.   

Let’s see how a developer can take advantage of ChatGpt with a simple example.  

In this scenario, I am supposed to be a developer and I need to write a java class for excel parsing. I will let ChatGPT assist me with the code writing. 

Isn’t it fantastic? Could you imagine how much time I can save using ChatGPT instead of coming up with these lines of code by myself? 

ChatGPT’s response included, among others, that this code is for reading excel files with the .xlsx extension. So, if I want to read .xls, I should use HSSFWorkbook instead of XSSFWorkbook. So, I asked ChatGPT to do it for me. 

It is essential to mention that even though the ChatGPT offers extreme help to developers and IT teams, it is necessary to be aware of all the potential privacy and security issues that may occur and be prepared to overcome them. Furthermore, it is vital to indicate that ChatGPT and other similar intelligent solutions perform human-like actions better and faster than humans. However, humans will be always needed in order to train these models and improve further their capabilities. 

3. ChatGPT for Healthcare 

ChatGPT can generate personalized conversations to provide healthcare services. It has the potential to revolutionize how healthcare providers interact with their patients. By leveraging the power of natural language processing and machine learning, ChatGPT can help healthcare providers automate mundane tasks such as scheduling appointments, answering patient queries, and providing medical advice. In addition, healthcare professionals can use it to generate personalized messages for patients based on their medical records and preferences. 

Let me present another example of ChatGPT in the healthcare industry. In this specific scenario, I am a medical professional who wants to summarise medical records and define a possible diagnosis.  

What I do is ask ChatGPT to summarize for me a medical record.  

Here is what I got back. 

What’s next? I was advised about the possible diagnosis.  

As mentioned before, ChatGPT can be a great asset to every healthcare provider. It can be used to summarise medical records, define diagnoses, and even generate patient education materials. In a nutshell, ChatGPT can help healthcare professionals save time and money while providing better care for their patients. The possibilities are endless, and the healthcare industry is sure to benefit from this technology in the near future. 

ChatGPT and its Place in the Future of Natural Language Processing & AI Technology 

As explained thoroughly, ChatGPT is a natural language processing (NLP) technology that has the potential to revolutionize the way people communicate with machines. This technology enables computers to understand human language and respond accurately in real time. With ChatGPT, machines can learn from conversations and generate more natural responses that are tailored to an individual’s needs. It also offers features such as automatic summarization, sentiment analysis, and text classification. The possibilities of this technology are endless, making it a highly sought-after tool for businesses looking to stay ahead of the competition in terms of powerful AI-driven solutions. 

Consider utilizing a trusted talent marketplace to help you embrace the full potential of AI and ChatGPT within your daily business processes. Platforms like Toptal offer a seamless connection of businesses that seek to hire OpenAI developers with top-tier AI experts. Leverage the use of GPT language models in your business and harness the power of AI to its fullest extent.

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Comidor platform offers you the ability to build your own Low-Code apps through App Builder, without writing any lines of code. Creating simple or more complicated apps is easier than ever, even for non-developer users. With Comidor Robotic Process Automation (RPA) elements in your apps, you can automate and manage repetitive tasks, automatically produce documents and retrieve or exchange data with other systems.

In this article, we will give two RPA application cases of real business problems where we have included RPA elements in the solution.

Case 1. Sales Order Process

Business Problem

Currently, when the sales department receives a customer order, they need to initiate a new Sales Order Request process. After the order acceptance by the Sales Manager, the request is sent to the production team where the team members should perform a series of tasks. In particular, the production team either produces or picks the goods, depending on inventory stock. Then, the procurement team should create an order in the ERP system.

The above, result in a time-consuming process that involves the collaboration of different departments and systems, where errors and delays in the order delivery are possible.

The solution

The Comidor solution is a Low-Code application that monitors all Sales Order processes in one place along with a workflow that orchestrates all process steps.

In the workflow we have included:

• Task allocation to the responsible users and groups
• Automated emails
• User forms & fields for data input and display
• Gateways and conditions for path determination
• RPA agent and RPA caller that replicate human actions and send data to the ERP system

The Sales Order process steps in detail are:

1. The Sales Agent places the order in Comidor and adds details such as the account name, quantity of the order, and material code

2. The Sales Manager approves or rejects the order. If the order is rejected, an automated email is sent to inform the customer

3. If the order is approved, inventory stock check is performed by the Production department:

• In the event of no stock availability, a sub-process is triggered and assigned to the Production department. Only when the production process is completed, the process moves to place the order in the ERP system
• If there is stock availability, the process goes directly to step 4

4. The RPA agent places the order in a 3rd party system. An RPA bot transfers information from Comidor to the ERP system. The steps that the bot executes are the following:

• The bot opens the browser and logs into the ERP system
• The bot clicks on the New Sales Order tile
• The bot inserts all the data that was provided in the previous tasks
• Finally, the bot submits the order

5. After the RPA’s execution, an automated email is sent to inform the customer

6. The sales order process is completed following the delivery of the order by Shipment. The Shipment department is assigned with the task to deliver the order on the date specified in the previous tasks

As a result, the Sales Order application provides those teams with the required information to carry out their tasks without having to log in to different systems and handling the same data over and over again. Errors can be avoided, the whole process is completed in less time and employees can focus mostly on providing a great customer experience rather than task execution.

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Case 2. Purchase Order Process

Business Problem

The Purchase Order process starts when there is a need to purchase products/services from a vendor. A purchase order document is the official order confirmation and it is created manually. The respective document needs to be approved by 3 or 4 reviewers depending on the amount of the order and after the final confirmation, it will be sent from the purchaser to the vendor. 

The business need in this scenario, was to create an automated multi-level approval workflow where all different departments could collaborate smoothly, all stages of the process could be captured, and this way provide real-time reporting with vital insights for every purchase order.

The solution

For this business problem, the Comidor solution is a Low-Code application to monitor all purchase orders in one place. Every employee in the company has access to the initiation of the process. The Low-Code application also includes a workflow that orchestrates all process steps.

In the workflow we have included:

• Task allocation to the responsible users and groups
• User forms & fields for data input and display
• Scripts to fetch vendor details from another table and capture approval dates
• Gateways and conditions for path determination
• RPA Excel Processor to parse a big Excel file or part of it, and capture values of certain cells into user fields or a whole area and depict it in an Excel type user field
• RPA Document creator to produce the purchase order document by combining a file template format and fields from the workflow
• An automated email with the attachment of the purchase order document

The Purchase Order process steps in detail are:

1. Purchase Order Creation

• The creator selects the vendor for which the order is placed as well as the type of request. The creator can either add the order details manually or upload an Excel file containing all the order details.
• The system automatically populates vendor details.
  • In the case of file uploading, the details are extracted automatically with the Excel Processor and are inserted into user fields inside the workflow.
  • In case of manual submission, the creator adds products or services required (code, product name, quantity, unit price, any discount or other costs included, instructions, and any other comments)
• Then, the creator selects if the supplier is Retail or Wholesale and adds shipping details (delivery date, shipping method, shipping terms, etc)

2. Approval Flow

The purchase orders are reviewed by the following approvers:

• Creator’s Manager
• Retail/Wholesale Supplier Manager (based on the selection in the previous step) 
• Finance Manager (only for orders with a total amount greater than £10,000)
• Head of Supply

In case of rejection at any of the above approval steps, the creator is notified and can then amend or cancel the PO process

3. Purchase order sent to the vendor
After the approval, the previously manual purchase order document creation is replaced by the Document Creator, a powerful RPA component that automates the document generation. The purchase order document is produced, saved within the main form of the process, and automatically sent via e-mail to the vendor as an attachment.

We have achieved:

• Real-time monitoring and reporting of all purchase orders
• Complex Excel files parsing and data capturing 
• Automated document creation and sending to external parties via email
• Elimination of typography errors and valuable time saving
• Increased productivity since manual steps have been removed

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Find more information about RPA and Workflow elements that you can include in your workflows.

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Walmart, Deutsche Bank, AT&T. and Ernst & Young are among the many leading, worldwide enterprises that have adopted RPA.

Companies are turning to the Robotic Process Automation emerging technology because:
1. many of them still rely on legacy systems
2. a large number of knowledge workers still work with many applications at the same time,  including some legacy systems.

According to Gartner, Robotic Process Automation is the fastest-growing type of software. They estimate that RPA grew 63% in 2018 to $846 million. 

What is  Robotic Process Automation (RPA)?

According to Wikipedia, Robotic process automation (or RPA) is an emerging form of business process automation technology based on metaphorical software robots (bots) or artificial intelligence (AI) workers. In essence, RPA  is a useful tool that uses screen scraping and other technologies to create specialized agents that can automate repetitive tasks. This technology allows anyone today to set a computer as an agent that emulates and integrates the actions of a human, interacting within a platform to perform a variety of repetitive tasks.

What are the benefits of Robotic Process Automation (RPA)?

• Increased productivity
  Employees are the first to understand the benefits of RPA as it relieves them from non-value-added activities

• Cost Saving
  RPA automates business processes, reducing costs, and increasing throughput.

• Better Accuracy
  Since humans develop the RPA agents, they make zero mistakes.

• Total Control
  Once the agents are programmed everything they do is monitored.

• Better Customer Satisfaction
  Less human errors and increased speed of customer-facing processes can lead to an improvement in customer satisfaction.

RPA Common Applications

• Customer service: RPA can help organizations offer better customer service by automating contact center tasks, including the upload of scanned documents, getting detailed data, and resolving simple but customer issues.
• Accounting: Organizations can use RPA for general accounting, creating and delivering invoices instantly without human intervention.
• Financial services: Companies in the financial services industry can use RPA for foreign exchange payments, automating, or extracting data from bank statements.
• Healthcare: Hospitals and Pharmaceutical companies can use RPA for keeping and managing patient records, 
• Human resources: HR  departments can automate their onboarding and offboarding processes with RPA. Moreover, they can automate the payroll function too.
• Supply chain management: RPA can be used for procurement, automating orders, payment processes, and checking low-stock levels.

Tips for powerful robotic process automation (RPA):

1. Set expectations:
Before you decide to choose your RPA, identify your business needs and which business processes are repetitive and really need to be automated. You can achieve a successful outcome by setting realistic expectations and managing them well. 

2. Consider the employees’ adoption:
The adoption of a new technology carries a great deal of risk, so your RPA project can sink if your workers are resistant to adoption. Training events can be an effective way to train your employees on Robotic Process  Automation (RPA).

3. Choose the right software based on your needs.
Therefore, to choose an RPA software vendor, you need to understand your business needs and every  RPA vendors’ functionality. Comidor BPM combined with Robotic Process Automation is the perfect tool to orchestrate and automate end-to-end business processes, merging human and system activities into a single process. 

What is the future of RPA?

Εnterprises have already started to boost their automation projects by combining RPA with other cutting-edge technologies such as Machine Learning, OCR, and Natural Language Processing (NLP), automating demanding tasks that in the past required execution by a human. According to a Global Market Insights Inc. report, the RPA market is expected to reach $5 billion by 2024. Also, KeyBanc Capital Markets expect that the global RPA market will emerge as a $100 billion opportunity in 10 years.

Read our handy RPA guide that demonstrates how businesses can benefit from RPA and do automation right.

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