artificial intelligence Archives • Page 2 of 2 • Xeltodigital.com

RPA’s role in regulatory compliance

What is the role of robotic process automation (RPA) in improving regulatory compliance? ⚖️ 🧾 Organizations are facing increasing obstacles in complying with compliance standards while maintaining operational efficiency in today’s complex regulatory environment. RPA has become a valuable tool to streamline and automate compliance activities. Here are some of the advantages of RPA to help ensure operational efficiency in an increasingly complex regulatory environment: 1️⃣ Automation of repetitive issues Regulatory compliance often requires repetitive manual operations, including data collection, verification and reporting. RPA technology can automate these time-consuming and mundane operations, freeing up valuable human resources for more strategic activities. RPA bots can collect and analyze data from multiple sources, compare information and provide accurate reports, eliminating human error and ensuring consistent compliance. 🤖 2️⃣ Real-time monitoring By continuously monitoring and analyzing data across multiple systems and applications, RPA enables real-time compliance monitoring. With RPA, companies can quickly detect compliance deviations or anomalies, allowing quick corrective steps to be taken. ⏱️ 3️⃣ Standardization processes Complex procedures and extensive manual interventions are often used in compliance processes, leading to discrepancies and inefficiencies. The RPA can standardize compliance procedures by following pre-defined rules and workflows, ensuring consistency in task execution. 💡 4️⃣ Improving reporting Compliance reporting is a time-consuming process that requires the collection and analysis of massive amounts of data. By automating data collection, validation and report creation, RPA can dramatically speed up the reporting process. RPA bots can extract data from multiple systems, perform calculations and reliably generate compliance reports. RPA’s automated reporting functions save time, reduce manual labor, and enable companies to reliably meet reporting deadlines. 📃 Organizations that use RPA can better allocate resources to strategic objectives, improve overall operational efficiency, and effectively manage an ever-changing regulatory framework. Contact us to discover how automation can help your business! 💬 🤝 Author: Monika Marczyk, Project Manager

30/08/2023 10:00

Transforming the Business World: AI tools combined with robotization

Transforming the Business World: AI tools combined with robotization 🤖. Many companies continue to look for solutions to stay competitive with leaner teams. Unfortunately, this often means that employees are forced to do more work with less support, resulting in widespread burnout felt across industries and positions. 🧑‍💼 To combat the feeling of burnout, we are seeing increased interest among employees in new technologies that allow them to do their jobs faster and better. One example is OpenAI’s GPT Chat, which surpassed 100 million users just two months after launch. AI tools enable people to find information faster. Artificial intelligence-based business automation technology helps contractors reduce the time spent on repetitive tasks! When asked what aspects of their work would change with AI-based automation tools, employees said they would like: More flexibility when it comes to their work environment 📈 More time to learn new skills 📚 More time during the workday to focus on critical tasks ⌚ Providing employees with opportunities to develop their skills, show their value to the organization and focus on work they are passionate about – is critical. Companies have a tremendous opportunity to provide their employees with technology that can increase job satisfaction, boost productivity and lead to new breakthroughs in business innovation 🕴️ 🙌. The introduction of RPA automation coupled with advanced artificial intelligence is a promising step toward combating job burnout. With this dynamic duo of technologies, employees gain greater flexibility with more time to develop new skills and focus on important tasks. These innovative tools not only improve work efficiency, but also contribute to creating more sustainable and satisfying work environments. 🤖 Contact us to learn how AI combined with RPA can help your employees! Author: Monika Serafin, Service Delivery Manager

18/08/2023 10:30

Automation of invoice processing – RPA and OCR

Automate invoice processing with XELTO DIGITAL robots 🤖📑. “Every Monday morning I am greeted by a huge pile of invoices to manually enter. It’s a frustrating, monotonous and time-consuming task that takes me all week.” 😩💼 Lost invoices, missing payments and endless emails to fix a simple mistake. Manual processes are fraught with problems. ⏳🔍 We live in a data-driven digital world. Don’t get left behind. 💻📊 Document processing automation is not the future, but the current era of digitization that is happening before our eyes. An era where invoice process automation eliminates manual data entry and human error, reduces invoice processing time and unlocks communication bottlenecks. ⚙️🚀 XELTO DIGITAL in partnership with Rossum offers automation of manual tasks with invoice processing software based on machine learning and artificial intelligence. 🤝 🧠 An example of successful implementations is the automation of the AP process. Automated invoice processing software will streamline the entire process from invoice to payment. Instead of spending hours extracting data and formatting invoices, artificial intelligence-based software will do it for you. 📝🕒 AI OCR software – optical character recognition – is a technology that will automatically extract data from an invoice. It saves time and costs for companies, while ensuring accuracy and efficiency. ⏱️💰 XELTO DIGITAL bots will streamline the process of sending data to the system, entering it and approving it according to the rules. 🤖✅ With us, instead of a pile of documents on your desk every morning, you can receive a report of processed documents to your email. 📥📊 Discover more and contact us to explore the possibilities of automation for your business. 📞🤖 Author: Monika Marczyk, Project Manager

16/08/2023 09:37

The concept of RPA 2.0 – artificial intelligence with RPA

The concept of RPA 2.0 is to combine the power of artificial intelligence with RPA to automate more complex processes 💡💻. In a world where companies are under tremendous pressure to improve their bottom line, finding ways to increase productivity while reducing costs has become a top priority. 𝐑𝐏𝐀 𝟐.𝟎 is emerging as a timely solution for organizations that want to do more with less in highly secure environments. What is RPA 2.0 🤖. It’s a new solution that combines the power of artificial intelligence (AI) and machine learning – a game changer for businesses, automating more complex tasks and improving efficiency. RPA 2.0 can automate even more complex workflows in a non-intrusive way, making it ideal for highly regulated industries such as aerospace, defense and healthcare. What advantages does RPA 2.0 have ✅ has advanced natural language processing (NLP) – it understands the meaning and context of words and expressions, even if there are differences in language, dialect or syntax 📜. ✅ learns and adapts to new language patterns and variations over time – understanding and responding to human language more effectively 🧠. ✅ can automate responses to website inquiries, patient registration at kiosks, first-line administrative inquiries and many other communication services – improving communication 🗣️. ✅ effectively adapt to changing requirements – increasing the organization’s agility and minimizing risk 🏛️. Get started on your RPA 2.0 adventure Here are some key considerations for secure implementation: 1️⃣ Familiarize yourself with the regulatory environment – before implementing RPA 2.0, it is important to understand the regulatory environment and ensure that the tool is compliant with all relevant regulations. 2️⃣ Identify relevant processes: Not all processes are suitable for automation. 3️⃣ Implement strong security controls – user authentication, data encryption and access control to mitigate security risks. 4️⃣ Ensure transparency and accountability – this includes providing clear documentation, training and communication for all stakeholders, and ensuring accountability for automation. In summary, RPA 2.0 is a timely solution for organizations that want to do more with less in highly secure environments. Compared to the first iteration, it can handle more complex tasks with greater reliability. Contact us to find out how you can bring RPA to your business 💬 Author: Monika Marczyk, Project Manager

11/08/2023 13:28

Traps of generative artificial intelligence

Traps of Generative Artificial Intelligence How business leaders can maximize the potential of introducing Generative AI 🧑‍💻 📈 Investment in innovative technologies has increased dramatically over the past decade. According to a 2022 McKinsey study, “the use of artificial intelligence has more than doubled in the past five years.” 📱 Business leaders increasingly see generative AI as a powerful tool for innovation and problem solving. Generative AI can be used to automate complex processes, create personalized experiences for customers, and even generate new ideas and projects 🧑‍💼 However, entrepreneurs must be aware of the potential pitfalls of generative AI and should ensure that appropriate measures are taken to minimize them: 1️⃣ Hallucinations – Artificial intelligence can generate inaccurate or misleading results, especially with complex data or images. These can be a significant drawback in highly regulated industries, such as healthcare or financial services, where consistency and accuracy are critical. 2️⃣ Deepfakes – Generative artificial intelligence algorithms can create media based on patterns learned from existing data. However, their misuse can lead to the creation of deepfakes – such as manipulated videos or images – that spread misinformation. Creating highly realistic fake media can even lead to blackmail and reputational damage. 3️⃣ Simplicity – Generative artificial intelligence can be opaque, making it difficult to understand how decisions or results are arrived at. This can lead to mistrust and can make it difficult to explain results to stakeholders. 4️⃣ Legal and ethical issues – As with any artificial intelligence technology, Generative AI raises legal and ethical issues related to data privacy, intellectual property and bias. Business leaders must comply with relevant laws and regulations, as well as address ethical issues related to the use of generative AI. 5️⃣ Security Issues – The large amount of data shared by users to generate new content gives Generative AI models more data to train and improve, but at the same time makes the data vulnerable to security breaches and data privacy issues. It is imperative to make sure that appropriate security measures are in place to protect their data and that of their customers. Business leaders, realizing the potential that generative AI offers, are increasingly eager to incorporate it into their broader digital transformation plans. One thing is important to remember. While the technology is the same for everyone, its adoption and implementation will help companies differentiate their offerings and change their operating model 🧑‍💻 Contact us to find out how we can help you with your digital transformation. Author: Joanna Sioła, Customer Experience Specialist

09/08/2023 12:00

Intelligent automation implementations

Examples of intelligent automation implementations at top companies💡 Intelligent process automation (IPA) is now being used by more and more companies because of its ability to speed up and automate processes, increase accuracy and process data capabilities 24 hours a day. 🤖 1️⃣ A foreign payments company is using IPA to streamline data extraction and input from multiple sources, including customer service communications, emails, reports and corporate applications. Its goal is to update critical aspects such as customer data, purchases, shipments, inventory and delivery information. The company has harnessed the power of artificial intelligence and machine learning to automate the document analysis process. 📄 2️⃣ One example of the use of IPA is the testing of ad formats in the music streaming service’s application. Previously, employees had to manually test each ad to ensure that the audio and graphics met each ad’s specifications, but they were able to automate this process using IPA, which ensures that the audio and graphics are appropriate for each ad. 🎧 3️⃣ Marketing agency used IPA to automate and optimize various aspects of its customer service process. CEO of the company said IPA is a powerful customer service tool that can create value for both customers and companies. But there will always be a need to combine IPA with human expertise, creating a hybrid model that leverages the strengths of both solutions. 👥 4️⃣ One of the world’s largest investment management organizations has automated solutions such as intelligent document processing. This combines artificial intelligence and automation to quickly and accurately extract data from business documents. As a result, the company was able to modernize its core systems to unify processes, data and customer experience. 📊 Smart automation is the future of work. 🤖 Find out how you can bring IPA to your business and contact us 💬

27/07/2023 10:44

RPA and AI combine for intelligent automation

Intelligent process automation – RPA and AI join forces 🤖 🧠 Business Process Automation (RPA) and Artificial Intelligence (AI) are two of the most innovative technologies of recent years. Both have the potential to significantly improve business processes and increase organizational productivity. The combination of RPA and AI enables the creation of intelligent automation that can surpass the capabilities of either technology separately. With intelligent automation, systems can learn on their own and adapt to changing conditions, make decisions based on data analysis, and perform tasks that are too difficult or complex for humans. As a result, the quality and precision of the tasks performed improves. 📈 The introduction of intelligent automation is a common step after traditional RPA, which excels at handling repetitive tasks without supervision. The next step is to expand automation capabilities by adding artificial intelligence to RPA, which is proving to be a key element for business. By using AI tools such as intelligent document processing or NLP, it is possible to automatically categorize emails or understand their content to handle unstructured text. 📄 📩 Examples of applications of intelligent automation: 💰 Finance: accounting, payment reconciliation and financial reporting. 📊 Administration: scanning documents, creating reports and sending correspondence ⚙️ Production: quality control, production monitoring and production planning 🚛 Logistics: transportation planning, shipment tracking and warehouse management 💬 Customer service: answering customer inquiries, resolving problems and filing complaints We are experts in designing and implementing automation solutions that help our customers improve efficiency, reduce costs, and enhance customer service. 📊 We are confident that we can help you achieve your business goals with intelligent automation! 😃 Get in touch with us! Author: Joanna Sioła, Customer Experience Specialist

20/07/2023 09:50

Impact of RPA automation on truck route optimization efficiency

How does automation improve truck route optimization? 🚚🤖 We are a team that is very familiar with automation for logistics and transportation companies. We know that automation is a huge breakthrough in optimizing processes that are especially complex like truck shipping operations! 🚛 The night distributor sector and out-of-hours operations are extracting huge benefits from the use of RPA. During difficult time periods, RPA can handle multiple tasks without fatigue, such as keeping statuses up-to-date or responding quickly to critical incidents. This ensures that the quality and speed of shipping operations remain consistent, regardless of the time of day or night. This results in fewer errors, a higher level of accuracy, and increases the efficiency and reliability of dispatcher operations. 💯 In addition, automation can provide real-time updates and tracking, take care of regulatory compliance, and optimize routes based on variables such as traffic or weather conditions. All of this information provided to the appropriate personnel allows for more efficient fleet management. 🚐 RPA is not just about automating tasks. It’s also about supporting the symbiotic relationship between people and technology to increase efficiency, ensure accuracy and redefine capabilities in truck shipping. Logistics companies are increasingly recognizing the potential of RPA and are actively integrating this powerful tool into their own operations, proving their commitment to innovation and exceptional service. 💡 RPA is becoming a groundbreaking software ally that works around the clock, optimizing operations and enabling seamless collaboration between dispatchers, drivers and end customers. The paradigm shift toward artificial intelligence and RPA in truck dispatch is not just a vision of the distant future – it’s a transformation process that is already unfolding. 🚀 Contact us to learn more about our capabilities in logistics and transportation! Author: Monika Serafin, Service Delivery Manager

17/07/2023 09:18

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