What is Intelligent Business Process Automation and How Can It Transform Your Company?

Anastasia Oreshkevich
Anastasia Oreshkevich

Guest author

November 21, 2024

What is Intelligent Business Process Automation and How Can It Transform Your Company?

Businesses today face growing pressure to work faster, deliver better results, and cut costs. But what if your processes didn’t just run automatically — they also got smarter and more efficient over time? That’s exactly what intelligent business process automation (IBPA) offers.

This approach combines traditional automation with advanced technologies like artificial intelligence, machine learning, and data analytics. IBPA doesn’t just automate routine tasks; it analyzes data, identifies inefficiencies, and makes your operations smarter and more effective.

In this article, we’ll talk about what IBPA is, the key technologies that drive it, and how it can reshape your business for the better.

What is intelligent business process automation?

Intelligent business process automation is a cutting-edge approach that enhances business process automation strategies by integrating advanced technologies like artificial intelligence (AI), machine learning (ML), and analytics into workflow management. It goes beyond automating repetitive tasks to create systems that learn, adapt, and make informed decisions.

IBPA focuses on combining automation with intelligence, enabling businesses not only to streamline operations but also to uncover insights, optimize processes in real time, and enhance customer experiences. It is an essential strategy for businesses looking to stay ahead in a digital-first world.

According to Accenture, tech leaders are growing five times faster than others. Their advantage comes from using intelligent automation, which helps them boost efficiency, speed up product and service launches, and enhance customer and employee experiences.

Key components of IBPA

  1. Robotic process automation (RPA)

RPA uses software bots to perform high-volume, repetitive tasks like data entry, invoice processing, or report generation.

  1. Artificial intelligence and machine learning

AI and ML enable systems to analyze data, recognize patterns, predict trends, and make data-driven decisions.

  1. Process mining

Process mining uses data analytics to visualize, analyze, and improve business workflows by identifying bottlenecks, redundancies, or delays.

  1. Business process management (BPM)

BPM is a holistic approach to managing and improving business processes, from design to execution and monitoring.

  1. Integration tools

Integration tools play a pivotal role in IBPA by connecting disparate systems and databases to create a cohesive operational framework. Low-code platforms, in particular, can simplify this process by providing drag-and-drop interfaces and pre-built connectors. For example, using a low-code tool like Retool, businesses can seamlessly integrate CRM systems, finance software, and APIs without requiring extensive coding.

{{Retool Dashboards with HubSpot Integration}}

To delve more into the topic of low-code, RPA, and BPA, you can read the following comparison articles:

low-code developers
Credit: @sigmunt / Unsplash.

How AI and RPA combine to drive IBPA

Robotic process automation and artificial intelligence are the two main cornerstones of business intelligence automation, each playing a unique role in transforming business operations. Together, they create systems capable of automating repetitive tasks while simultaneously making informed decisions to improve efficiency and outcomes.

RPA: the foundation of efficiency

RPA focuses on automating routine, rule-based tasks that are often time-consuming and prone to error when performed manually. For example, extracting data from spreadsheets, re-entering information into different systems, or sorting large volumes of documents can all be handled by software bots. These bots work through existing interfaces, mimicking human actions without requiring significant changes to underlying systems.

How RPA drives IBPA:

  • Speed: RPA accelerates processes by eliminating manual delays and reducing errors.
  • Cost savings: By automating repetitive tasks, businesses can reallocate employee time to higher-value work, significantly cutting operational costs.
  • Scalability: Organizations can quickly deploy additional bots to scale operations without hiring new staff.

AI: adding intelligence to automation

AI complements BPA by introducing cognitive capabilities that go beyond simple automation. Using technologies like machine learning (ML), neural networks, and natural language processing (NLP), AI allows systems to analyze data, identify patterns, and make decisions based on historical trends.

Notably, 78% of executives have identified scaling AI use cases to create tangible business value as a top priority. This underscores the growing recognition of AI’s potential to improve workflows.

How AI drives IBPA:

  • Data analysis: AI can process massive datasets, finding insights that would be impossible for humans to detect manually. For example, AI can analyze underwriting documents to identify risks, reducing the time spent on evaluation.
  • Learning from patterns: Unlike traditional rule-based systems, AI learns and evolves, becoming better at tasks over time.
  • Enhanced decision-making: AI empowers businesses to make smarter, faster decisions by offering predictive insights. Key benefits include real-time tracking of operations for immediate responses and leveraging generative AI as virtual advisors for strategic planning. According to IBM, 75% of CEOs believe companies with advanced generative AI will gain a competitive edge, with 43% already using it to shape key decisions.

However, AI adoption brings challenges, such as ensuring reliable data sources, safeguarding sensitive information, and complying with regulations. To avoid potential challenges during implementation and to prevent unexpected issues, it is recommended to seek expert advice. Business process automation consultants can identify vulnerabilities and provide guidance on how to effectively integrate AI into BPA for optimal results.

The synergy of RPA and AI in IBPA

RPA is process-driven, automating repetitive, rule-based tasks such as data entry, and following specific instructions from users. AI, on the other hand, is data-driven, using machine learning to analyze data and identify patterns. AI continuously improves by learning from data, while RPA executes tasks without any learning component.

When combined, RPA handles task execution, and AI provides intelligence by making data-driven decisions and learning from patterns. This synergy allows businesses to automate simple tasks and complex workflows, where AI enhances RPA by identifying trends and “anomalies”, while RPA acts on AI insights more quickly. What else does this synergy bring to the table?

  • Reduced manual data handling: RPA automates data entry and document sorting, while AI validates information and checks for inconsistencies.
  • Faster processing: RPA executes repetitive tasks at lightning speed, and AI steps in to analyze outcomes or make decisions in real time.
  • Improved customer experiences: By handling backend processes seamlessly, such as resolving service requests or updating records, these technologies allow businesses to respond to customers faster and more effectively.

For example, if we take an insurance company, RPA bots can handle policy data extraction and sorting, while AI evaluates risk factors and streamlines underwriting. The result? Faster processing times, fewer errors, and a more competitive edge in the market.

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How intelligent business process automation can help your business

IBPA, backed by RPA, AI, and low-code automation, combines speed and smart decision-making. Here's how it can bring tangible value to your business:

  1. Streamlining routine tasks

RPA automates repetitive processes like data entry, while low-code tools make creating this automation accessible to business teams. With low-code platforms, even non-technical staff can design automated workflows for tasks like expense approvals or customer onboarding, reducing dependency on IT resources while increasing agility.

ProTip: Start small with a low-code platform to build and automate one repetitive task, then scale up as you see results. You can read more about what platform to choose here.

  1. Improved accuracy

In industries like healthcare, finance, and legal services, where even a small mistake can have significant consequences, accuracy is critical. AI systems ensure precision by analyzing vast amounts of data. For example, in healthcare, AI can automate the process of verifying patient data, identifying potential discrepancies that might go unnoticed by human workers, ensuring more accurate medical records and billing processes. Similarly, in finance, AI-driven systems can help automate transactions, flagging any discrepancies or compliance risks.

ProTip: Pairing RPA with AI is especially effective for compliance-heavy tasks such as auditing or generating financial reports, where every detail must be precise. Alternatively, integrating low-code platforms with RPA helps simplify document reviews or reporting processes, streamlining the task for faster and more reliable results.

  1. Faster and smarter decision-making

IBPA can transform decision-making across industries by providing predictive insights and learning from past trends. For instance, unlike traditional systems that follow predefined rules, AI analyzes historical data, identifies emerging patterns, and uses that information to make future predictions.

ProTip: Combine predictive analytics with real-time tracking tools to anticipate business changes and adjust strategies immediately. For example, a retail company could use a low-code platform to integrate sales data with AI-driven forecasts in a real-time dashboard. This gives managers instant access to insights, allowing them to optimize inventory management or adjust pricing strategies to maximize profitability and reduce waste.

Discover how we leveraged low-code capabilities to provide real-time data updates and accurate record-keeping, helping our client optimize operations and improve decision-making — read the case study.

  1. Cost efficiency

Although the implementation of IBPA might require a significant upfront investment, it will pay off in the future: by automating labor-intensive tasks, IBPA reduces operational costs while enabling your team to scale operations without a proportional increase in workload.

With properly implemented IBPA, you can:

  • Reduce labor costs: Automating tasks allows companies to avoid hiring additional staff during busy periods (holidays, quarter-end, etc.).
  • Minimize errors (and, therefore, the cost of fixing them): Reduced errors mean fewer corrective actions and associated financial losses.
  • Optimize resource allocation: Optimizing processes with IBPA allows companies to allocate resources such as time, personnel, and materials more efficiently.

ProTip: Combine automation tools like RPA with low-code platforms to quickly adjust workflows during peak demand. For example, a retailer could automate inventory management during holiday seasons, ensuring the right stock levels without hiring extra temporary staff.

  1. Enhanced customer experiences

AI-powered chatbots provide 24/7 customer support, addressing the 82% of consumers who expect instant issue resolution. RPA further enhances service by automating tasks like order fulfillment and boosting response times. What’s more, 92% of companies report improved response times, while 83% find it easier to manage customer requests with automation.

Additionally, AI personalizes interactions based on customer data, meeting the 65% of customers who expect businesses to adapt to their changing needs. Combined, AI and RPA ensure faster, more personalized customer experiences.

Final thoughts

Intelligent business process automation plays a crucial role in enhancing business operations, offering the potential for improved efficiency, smarter decision-making, and better customer experiences. However, to make the most of it, it’s essential to integrate technologies like low-code development, machine learning, AI, and robotic process automation properly. Only then can businesses achieve “truly intelligent” processes — where speed is balanced with quality and cost savings are realized over the long term.

A well-thought-out integration strategy ensures that these technologies work together seamlessly, driving both short-term results and long-term growth. At Akveo, we understand the complexities of implementing these solutions. With our expertise in low-code platforms, RPA, and AI integration, we can guide you through every step, from strategy development to seamless deployment. Whether you're looking to streamline operations, enhance decision-making, or optimize customer interactions, our experts in business process automation can help ensure your business remains agile, efficient, and competitive. Contact us today to discuss your needs.

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