Who says that automation is limited to rule-based tasks that are boring, repetitive, and time-consuming? We understand that Robotic Process Automation (RPA) is there to save the day, helping business to reduce operational costs, increase productivity, and enhance efficiency by replacing manual tasks with automation. But what about “higher-level” processes that usually require human-knowledge? What if these “cognitive” processes are also time-consuming, tedious, and painful to employees? Can’t we automate these too?

This article answers your questions: YES, you can automate even processes that require human-knowledge. In this article, we will explain how you can automate “human-intelligence” processes, even without coding! This will not just reduce operational costs, enhance business efficiency, or improve your productivity – but also drives strategic growth for your business, as by automating processes as optimum as possible, you can have a lot more time to focus growing and expanding your business.

But first, let’s talk why RPA is getting more irrelevant days by days.

We need more than RPA. Why?

It is clear that RPA (Robotic Process Automation) is facing a crossroads. While RPA has been a trailblazer in automating repetitive tasks, the reality is that its capabilities are starting to show their limits. It is like having a trusty tool that is beginning to rust—great for simple jobs but struggling with more complex challenges. So, why is RPA becoming less relevant, and what Is the next step in our automation journey?

Fact #1: Outgrowing Its Lane

Imagine RPA as a really efficient conveyor belt in a factory. It is fantastic at handling repetitive, straightforward tasks—think processing the same form over and over. But what happens when we throw something complex or unexpected into the mix? That is where RPA starts to sweat. It is like asking a conveyor belt to handle a custom order. It just was not built for that kind of flexibility.

RPA excels at automating rule-based, repetitive tasks. However, many business processes involve complex decision-making, unstructured data, and exceptions that RPA struggles to handle effectively.

Fact #2: Lacking Smarts

RPA does not have much in the way of “brains.” It follows rules without understanding context or learning from experience. It lacks of cognitive capabilities, such as understanding context, making judgments, and learning from experience. AI, on the other hand, can adapt and learn, making it more suited to handle evolving challenges and nuanced tasks. It is like having a highly trained team member who can pick up new skills and adapt to changes.

Fact #3: Data Handling Limitations

RPA is not well-suited for processing and analyzing large volumes of unstructured data.

Imagine RPA as a skilled librarian who can efficiently manage and organize a library full of neatly labeled and categorized books. If everything is well-organized, RPA can handle the task flawlessly. However, what if the library suddenly gets a huge influx of random, unlabeled books scattered all over the place?

This is where RPA starts to struggle. It is great with structured, well-organized data—like those neatly labeled books—but not so much with messy, unstructured information. This could be anything from free-form text in emails, to varied formats in customer feedback, or documents with lots of different types of data mixed together.

While RPA is excellent for handling structured data in a predictable way, AI and machine learning are designed to tackle the complex and unstructured data that RPA finds challenging.

Fact #4: You Need to Interact and Understand Your Customer Better

As businesses strive to better connect with their customers, relying on Robotic Process Automation (RPA) alone can fall short. RPA is great for handling repetitive, rule-based tasks, but it struggles with the complexities of customer interactions. It operates on fixed rules and scripts, meaning it cannot truly understand or engage with customers on a deeper level.

AI brings advanced tools like Natural Language Processing (NLP) and sentiment analysis to the table, allowing it to grasp the nuances of customer conversations. This means AI can provide personalized, context-aware responses and even sense the emotional tone of interactions, making customer interactions feel more genuine and tailored.

Moreover, AI systems learn and adapt in real time based on customer feedback, offering a level of personalization that RPA simply cannot match. While RPA requires manual updates and is limited in flexibility, AI continuously evolves, ensuring your customer interactions stay relevant and responsive.

For businesses aiming to elevate customer experience and build stronger relationships, automating with AI offers a more dynamic and insightful approach than traditional RPA.

Augmenting RPA with Artificial Intelligence: Duo-power for Your Business

Let’s picture RPA (Robotic Process Automation) as a highly skilled worker who excels at following a strict, step-by-step manual. This worker is fantastic at handling tasks where everything is predictable and neatly organized—like processing the same type of invoice or filling out forms with consistent data.

Now, imagine your business faces a situation where data is not so straightforward. Maybe you have varied customer requests, unstructured documents, or unexpected changes in workflow. This is where RPA starts to show its limitations. It struggles to handle tasks that involve dynamic, unpredictable elements because it relies heavily on structured, rule-based processes.

Enter AI and machine learning—these are like versatile team members who can adapt to new information, recognize patterns, and make decisions on the fly. They are like having a crew that can handle a wide range of ingredients and whip up different recipes as needed.

For RPA to fully meet the needs of today’s dynamic business environments, it needs to work alongside these advanced technologies. This means integrating RPA with AI and machine learning to create a system that can handle both structured tasks and complex, evolving scenarios. On its own, RPA cannot seamlessly interact with these more advanced technologies, which limits its overall effectiveness.

In short, while RPA is great for repetitive, predictable tasks, integrating it with AI and machine learning makes it more powerful, enabling it to handle the full spectrum of modern business challenges.

Usually Require Human Knowledge, But Now You Can Automate These with AI!

Gleematic goes beyond the capabilities of traditional Robotic Process Automation (RPA) by integrating the power of Artificial Intelligence. Gleematic combines the efficiency of RPA with the intelligence of AI, enabling it to handle complex processes that typically require human judgment. Whether it is analyzing unstructured data, understanding customer sentiment, or adapting to new information in real time, Gleematic’s AI-driven capabilities ensure that your automation is not just efficient, but also smart.

With Gleematic, you get more than just task automation—you get a solution that learns, adapts, and evolves with your business needs. It is automation that goes beyond routine, bringing intelligence to every process it touches.

Here are 5 examples of process you can automate, those that usually require human knowledge and almost impossible to automate:

#1. Predictive Analysis with A.I. Machine Learning: Gaining insights for you!

Predictive analysis powered by AI and machine learning is all about using data to foresee future outcomes and trends. Instead of just reacting to what is already happened, predictive analysis allows you to anticipate what is coming next. With AI and machine learning, this process becomes even more powerful. These technologies analyze vast amounts of data, recognize patterns, and make predictions with a level of accuracy that is impossible for humans alone.

Read more about predictive analysis

Here are examples of how you can use Gleematic’s capability in predictive analysis:

Predict Loan Approval – Automation in Banking

Gleematic AI revolutionizes the loan approval process in banking by automating the evaluation of loan applications. Traditional methods require significant manual effort to assess creditworthiness, analyze financial documents, and verify applicant details. With Gleematic, this process is streamlined and enhanced with AI-driven decision-making. The system gathers data from various sources, including credit reports, financial statements, and customer history, then processes this information using machine learning algorithms to predict the likelihood of loan repayment. This automation not only speeds up the approval process but also reduces the chances of human error, ensuring more accurate and consistent decisions.

See how the process runs:

By integrating Gleematic AI into the loan approval workflow, banks can offer a more efficient and customer-friendly experience. The AI continuously learns from new data, improving its predictive accuracy over time. It can also identify patterns and insights that may not be immediately evident to human analysts, such as detecting subtle risks or opportunities based on non-traditional data points. As a result, banks can make more informed lending decisions, minimize defaults, and optimize their loan portfolios. Additionally, automation frees up staff to focus on more complex cases, enhancing overall productivity.

The seamless integration of Gleematic AI into existing banking systems means that the transition to automated loan approval is straightforward. It can be customized to align with a bank’s specific lending criteria and regulatory requirements, ensuring compliance while enhancing operational efficiency. This capability allows banks to scale their lending operations without a corresponding increase in overhead, providing a competitive edge in a fast-evolving financial landscape.

Gleematic has helped a bank to automate their loan approval, read more.

Save to your reading list: Improving Operations in BFSI Industry with Cognitive Automation

Predict if Your Employees are Going to Resign – HR Automation

Traditionally, identifying at-risk employees required extensive surveys and analysis, which could be time-consuming and prone to biases. Gleematic AI simplifies this process by analyzing a broad range of data, including employee performance, engagement levels, feedback, attendance records, and even external factors like industry trends. The AI uses machine learning algorithms to identify patterns that indicate a higher likelihood of an employee leaving, allowing HR teams to take proactive measures to retain top talent.

See how the process runs:

The predictive model continuously learns and refines its accuracy over time, ensuring that the insights provided remain relevant as workforce dynamics evolve. By flagging potential attrition risks early, Gleematic enables HR professionals to address underlying issues before they lead to turnover. For example, the AI might highlight trends such as declining engagement or increased absenteeism in specific departments, prompting targeted interventions like mentoring programs, training opportunities, or adjustments in work conditions. This not only helps in retaining valuable employees but also reduces the costs and disruptions associated with high turnover rates.

Read The Future of Human Resources: How AI is Changing The Game with HR Automation

Forecast Your Business’s Energy Consumption for Financial Budgeting

Predicting energy usage involves complex calculations, often based on historical data and basic projections. Gleematic enhances this process by leveraging advanced machine learning algorithms that analyze a wide range of factors, including historical consumption patterns, production schedules, seasonal variations, and even external influences like weather conditions. By providing a comprehensive and dynamic forecast, the AI enables businesses to plan their energy budgets with greater precision, reducing the risk of unexpected costs.

See how the process runs:

The forecasting model used by Gleematic continuously refines its accuracy as it learns from new data inputs. This adaptability ensures that the predictions remain relevant in the face of changing operational conditions or market dynamics. Businesses can use these insights to make informed decisions about energy procurement, negotiate better rates with suppliers, or even identify opportunities for energy-saving initiatives. By aligning energy consumption forecasts with financial planning, companies can optimize their budget allocations, improve cost management, and enhance overall operational efficiency.

Some other benefits:

– Building Management

Gleematic AI offers a powerful solution for building management teams aiming to optimize electricity consumption across different units within a facility. By analyzing real-time data from various sources, such as smart meters, occupancy sensors, and historical usage patterns, the AI can provide detailed insights into energy consumption trends. This enables facility managers to implement demand-side management strategies effectively, such as adjusting energy use during peak periods or integrating energy-efficient practices. The result is a significant reduction in energy costs and an improvement in overall sustainability, aligning with both financial and environmental goals.

– Optimizing Energy Generation and Distribution

Electricity suppliers can leverage Gleematic AI to optimize the generation and distribution of electricity, ensuring a more reliable and efficient supply. By accurately predicting energy demand, the AI allows suppliers to plan for peak periods, preventing shortages and reducing the need for costly emergency measures. The system analyzes historical data, weather forecasts, and consumption patterns to forecast demand with precision, enabling better resource allocation and minimizing waste. This level of optimization not only enhances operational efficiency but also supports a more resilient energy grid, capable of meeting the demands of modern society.

Save to your reading list: Benefits of Automating Forecasting Process that Will Improve Your Business Significantly

Forecast Your Sales Revenue – Sales Automation

Traditional sales forecasting methods often rely on manual data collection and subjective judgment, which can lead to inconsistencies and inaccuracies. Gleematic AI overcomes these challenges by analyzing vast amounts of data, including historical sales trends, market conditions, customer behavior, and economic indicators. The AI-driven approach allows businesses to generate precise revenue forecasts, helping sales teams set realistic targets, allocate resources effectively, and plan for growth.

By continuously learning from new data, Gleematic AI ensures that its revenue forecasts remain up-to-date and responsive to changing market conditions. This adaptability is crucial in today’s dynamic business environment, where factors such as consumer preferences, competitor actions, and economic shifts can rapidly influence sales outcomes. With Gleematic’s automation, sales teams can focus on strategic activities like building customer relationships and closing deals, rather than getting bogged down in manual forecasting processes. The result is a more agile and informed approach to sales management that drives better business outcomes.

See how the process runs:

Read more on 6 Ways Intelligent Automation Can Transform Marketing and Sales

Demand Forecasting for Inventory Management – Helping You to Optimize Stocking

Gleematic AI transforms the approach to inventory management by offering precise demand forecasting that optimizes stocking strategies. Inventory management often relies in historical sales data and basic trend analysis, which can result in inaccurate forecasts and inefficiencies. Traditional inventory management also often struggles with balancing overstock and stockouts.

Gleematic AI addresses these challenges by analyzing a broad spectrum of data, including historical sales, sales or market trends, seasonal fluctuations, and even external factors like economic conditions and promotions. By incorporating these variables, the AI generates accurate demand forecasts, enabling businesses to maintain optimal inventory levels, minimize stockouts, and reduce excess inventory.

See how the process runs:

With Gleematic AI, businesses can significantly reduce the risks of overstocking, which ties up capital and storage space, and stockouts, which result in lost sales and dissatisfied customers. The AI-driven forecasts enable more informed purchasing decisions and inventory replenishment plans, allowing businesses to align their stocking levels with actual demand. This optimization not only improves cash flow but also enhances customer satisfaction by ensuring product availability when needed.

Read about Automated Inventory Management: 10 Examples How Intelligent Automation Can Help and 5 Examples of Supply Chain Automation with RPA and AI for Greater Efficiency and Cost Reduction

#2. Intelligent Document Processing: extract, process, classify, or sorting documents!

Gleematic AI offers powerful Intelligent Document Processing (IDP) capabilities that streamline the way businesses handle vast amounts of documents. Traditionally, extracting, processing, classifying, and sorting documents required significant manual effort, often leading to inefficiencies and errors. Gleematic automates these tasks by using advanced machine learning algorithms and natural language processing (NLP) to understand and process various types of documents, including invoices, contracts, forms, and emails. The AI can automatically extract relevant data, such as names, dates, amounts, and other key information, from both structured and unstructured documents with high accuracy.

See how the process runs:

Once the data is extracted, Gleematic AI processes it according to predefined rules or custom workflows. For instance, extracted information can be validated against existing databases, used to trigger actions in other systems, or analyzed for compliance purposes. The AI also excels at classifying documents based on their content, automatically sorting them into categories such as financial records, legal documents, or customer correspondence. This intelligent classification reduces the time spent on manual sorting and ensures that documents are organized in a way that aligns with business needs.

Read about Top Intelligent Document Extraction Tools and Skills Every Document Extraction Vendor Should Have

Optical Character Recognition (OCR) in Gleematic

Optical Character Recognition (OCR) capability plays a critical role in its Intelligent Document Processing (IDP) solution, particularly in document extraction. OCR technology enables Gleematic to accurately extract text from scanned documents, images, PDFs, and other non-digital formats. This is especially valuable for organizations that deal with large volumes of paper-based or image-based documents, such as invoices, receipts, contracts, and forms. By converting these documents into machine-readable text, OCR allows Gleematic to process and extract relevant data with high precision, regardless of the document’s original format.

Once the OCR extracts the text, Gleematic AI applies its machine learning algorithms to further analyze and process the data. The AI can identify and extract key information such as dates, amounts, names, and addresses from the text, even if the documents are unstructured or poorly formatted. This capability significantly reduces the manual effort required for data entry and minimizes errors, ensuring that the extracted information is accurate and ready for use in downstream processes like classification, validation, and archiving.

Read about Most Frequently Asked Questions about OCR

The integration of OCR with Gleematic’s intelligent document extraction capability makes it a comprehensive solution for managing both digital and physical documents. This combination not only enhances data accuracy and efficiency but also enables businesses to transition from paper-based workflows to more streamlined, automated processes. By leveraging OCR, Gleematic empowers organizations to unlock the value hidden in their documents, making it easier to access, analyze, and utilize critical information across various departments and applications.

See OCR in Gleematic runs:

#3. Data Integration: Handling data preparation for you!

Gleematic provides a comprehensive suite of capabilities for managing data throughout its lifecycle, from collection to reconciliation, integration, consolidation, and even web scraping. These features are designed to help businesses automate and streamline their data management processes, ensuring that information is accurate, up-to-date, and readily available for decision-making.

Data collection from various systems

Companies often rely on information from various channels, including internal databases, external websites, APIs, social media platforms, and more. Manually collecting and aggregating this data can be time-consuming and prone to errors. Gleematic AI automates this process by integrating with diverse data sources, ensuring that businesses have access to the most up-to-date and relevant information.

Gleematic data collection capabilities are highly flexible, allowing it to pull data from both structured sources, such as databases and spreadsheets, and unstructured sources, such as emails, documents, and web pages. This flexibility is crucial for organizations that need to consolidate information from different departments, systems, or even external partners. For example, Gleematic can collect sales data from a CRM system, financial data from an accounting platform, and customer feedback from social media, all in one seamless process.

See how the process runs:

Save to your reading list: The Role of Intelligent Document Extraction for Data Integration

Web scraping

Web scraping involves retrieving information from websites, which can then be used for a variety of purposes, such as market research, competitive analysis, price monitoring, and trend tracking. Traditionally, this process requires manual effort or custom-built scripts, both of which can be time-consuming and difficult to maintain. Gleematic AI simplifies and automates web scraping, making it accessible and efficient for businesses across industries.

See how the process runs:

Gleematic’s web scraping functionality can be configured to extract specific data points from various websites, including text, images, links, and tables. For instance, it can collect product prices from e-commerce sites, news articles from media outlets, or customer reviews from social media platforms. The AI can navigate through web pages, identify relevant information, and extract it according to predefined criteria. This data can then be automatically organized and stored in a structured format, ready for analysis or integration into other systems.

Save to your reading list: How to Automate Data Collection Faster for Research with Web Scraping

Data Integration and Consolidation

Companies often deal with data scattered across multiple systems, departments, and platforms. This fragmentation can lead to inefficiencies, data silos, and challenges in gaining actionable insights. Gleematic AI addresses these issues by automating the integration and consolidation of data, ensuring that businesses have a unified, accurate, and up-to-date dataset for decision-making.

Gleematic AI enables data integration by connecting disparate data sources, whether they are internal systems like CRM, ERP, or financial software, or external sources such as web-based platforms, APIs, and third-party databases. The AI extracts, normalizes, and combines data from these sources, breaking down silos and creating a single source of truth. This integrated data can then be used for reporting, analytics, or feeding into other business processes, enhancing overall operational efficiency, and enabling more informed decisions.

See how the process runs:

Data Reconciliation

Gleematic AI automates data reconciliation by matching and validating data across different systems, ensuring consistency and accuracy. Traditionally a labor-intensive process, data reconciliation becomes more efficient with Gleematic’s AI, which handles complex and large-scale datasets, identifies discrepancies, and either flags them for review or resolves them automatically. It supports real-time and continuous reconciliation, allowing businesses to address issues immediately rather than waiting for periodic reviews. By streamlining this process, Gleematic enhances data reliability and frees up time for more strategic activities, ensuring that your organization’s data remains accurate and aligned across all platforms.

#4. Generate Reports and Visualize Data for you!

Gleematic AI enhances business intelligence by automating the generation of reports and visualizing data, making it easier for organizations to gain actionable insights. One of the key strengths of Gleematic is its ability to pull data from a variety of sources—such as internal databases, external APIs, web scraping, and spreadsheets—and compile them into a unified dataset. This capability ensures that reports are comprehensive, up-to-date, and reflect data from across the organization.

Once the data is collected and integrated, Gleematic AI can automatically generate reports according to predefined templates or custom requirements. These reports can include key performance indicators (KPIs), financial summaries, sales trends, and more, tailored to meet the specific needs of different departments or stakeholders. By automating the reporting process, Gleematic reduces the time and effort required to produce accurate and detailed reports, allowing teams to focus on analyzing the results rather than gathering data.

See how the process runs:

In addition to generating reports, Gleematic AI also offers robust data visualization capabilities. It can present data through charts, graphs, dashboards, and other visual formats, making complex information easier to understand and interpret. These visualizations are dynamic and can be customized to highlight specific trends, comparisons, or insights. Whether it is a sales trend analysis, a financial overview, or operational metrics, Gleematic’s visualizations help decision-makers quickly grasp key information and make informed decisions.

See how the process runs:

The ability to gather, compile, and visualize data from various sources makes Gleematic AI a powerful tool for driving data-driven strategies. By automating these processes, Gleematic not only improves efficiency but also ensures that decision-makers have access to accurate, comprehensive, and visually compelling data when they need it.

#5. Becoming Your “Smart” Customer Support Agent that Can Do Your Customer Services!

Gleematic AI can serve as a smart customer support agent, automating and enhancing customer service interactions across various channels. By leveraging AI, Gleematic can handle a wide range of customer inquiries, provide accurate and personalized responses, and perform routine tasks like processing requests or updating customer records. Its natural language processing (NLP) capabilities enable it to understand and respond to customer questions in a conversational manner, ensuring a smooth and engaging experience.

In addition to responding to inquiries, Gleematic AI can integrate with other systems to perform tasks such as checking account information, updating customer records, and even processing transactions. This reduces the need for human intervention in routine tasks, freeing up your customer support team to focus on more critical or complex issues. By becoming your smart customer support agent, Gleematic not only enhances customer satisfaction but also optimizes your service operations for greater efficiency and scalability.

See how the process runs:

Gleematic is also able to work with ChatGPT. ChatGPT’s advanced conversational AI allows for even more natural and context-aware interactions, enabling the support agent to handle complex queries, provide detailed explanations, and engage in meaningful dialogues with customers. This combination ensures that customer interactions are not only efficient but also human-like and empathetic.

See how the process runs:

Read further on The Dynamic Duo: How ChatGPT and RPA Join Forces for Enhanced Business Automation

Starting Your Automation Journey with Gleematic

Embarking on your automation journey with Gleematic AI is a transformative step towards enhancing efficiency, reducing manual work, and driving innovation in your organization. Gleematic offers a versatile and powerful software that can automate a wide range of business processes, from data collection and reconciliation to customer support and document processing. With its AI-driven capabilities, Gleematic allows you to streamline operations, improve accuracy, and make data-driven decisions with ease.

To begin your automation journey, you will first need to identify the key processes within your organization that are ripe for automation. Whether it is repetitive data entry tasks, generating reports, or managing customer interactions, Gleematic can be tailored to fit your specific needs. The software’s user-friendly interface and customizable workflows make it easy to integrate with your existing systems and start automating tasks without requiring extensive technical expertise.

Check out Gleematic’s functions! You can also automate other back-office tasks!

As you progress, you can expand the scope of automation across different departments and processes, leveraging Gleematic’s ability to handle complex tasks such as intelligent document processing, demand forecasting, and even serving as a smart customer support agent. With Gleematic, the journey to automation is not just about replacing manual tasks but also about empowering your team to focus on strategic initiatives that drive growth and innovation.

Get our FREE handbook as a powerful guide to help you embark on your automation journey. Talk to our dedicated team with broad expertise in automation FREE 1-hr consultation, to know where to start.

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Written by: Kezia Nadira