Not so long ago, process automation mainly meant predictable RPA robots: fetch data, execute a rule, save the result.

Today, we increasingly integrate language models, document classification, AI agents, response generation, and decision-making or decision-recommending capabilities into our processes. Automation is no longer just executing instructions. It is beginning to interpret information and genuinely impact the course of a process.

This is exactly where the AI Act and ISO/IEC 42001 come into play.

The AI Act dictates what obligations we must fulfill

The AI Act introduces a risk-based approach. The scope of obligations depends less on the chosen tool and more on:

• what the AI system is used for,
• what data it processes,
• who it impacts,
• what decisions it makes or supports,
• what the consequences of its malfunction might be.

Not every workflow built in UiPath is an AI system. Classic automation based on clearly defined business rules remains a predictable RPA solution.

The situation changes when a process utilizes an AI model for purposes such as:

• evaluating candidates or employees,
• analyzing creditworthiness,
• profiling clients,
• detecting fraud,
• classifying cases and setting their priorities,
• interpreting documents,
• generating responses,
• recommending decisions that affect humans.

In such cases, it is not enough to say: “The model is provided by an external vendor.” The organization using the solution can still act as the deployer of the AI system and be held responsible for how it is applied.

ISO 42001 outlines how to manage AI within an organization

ISO/IEC 42001 does not replace the AI Act. It is an AI management system standard that helps organizations structure accountability, policies, risks, data governance, monitoring, and the lifecycle of systems utilizing artificial intelligence.

Simply put:

The AI Act sets the legal requirements, while ISO 42001 helps build the organizational mechanism to fulfill them.

An ISO 42001 certification does not automatically guarantee full compliance with the AI Act. It can, however, provide the structure, documentation, and evidence demonstrating that AI is managed consciously, rather than deployed using a “let’s plug in the model and see what happens” approach.

Compliance Starts Before Writing the Workflow

Before launching AI-driven automation, an organization should answer several fundamental questions.

1. Does the process actually use AI? 

Not every OCR, business rule, or automation is an AI system. It is crucial to clearly separate deterministic RPA from predictions, content generation, and the autonomous operation of models.

2. What is the purpose of the system?

 A model preparing a draft summary carries a different risk than a model rejecting a client’s application, evaluating an employee, or suggesting a transaction block.

3. Who owns the solution? 

Every system should have at least:

• a business owner,
• a technical owner,
• designated accountability for risk and compliance.

AI without an owner quickly becomes the digital equivalent of a binder labeled “miscellaneous.”

4. What data goes into the model? 

You must define:

• data sources and quality,
• the legal basis for processing,
• the scope of personal and confidential data,
• the retention period,
• the location of processing,
• the rules for sending data to external models.

5. Where is the human? 

The Human-in-the-Loop should not be a decorative “Approve” button. The human must be provided with sufficient information, time, and authority to genuinely evaluate and challenge the AI’s recommendation. They must also know what they are responsible for and in which scenarios they should halt the process.

6. Can we retrace the decision? 

The organization should be able to determine:

• which process was triggered,
• which workflow version was used,
• which model and its version were applied,
• what input data was provided,
• what output the model generated,
• what the confidence level was,
• who approved the decision,
• what actions were taken next.

Without adequate logs, an audit might end with the conclusion: “The robot did something, but we don’t know exactly why.”

How Can UiPath Support This?

Within the UiPath environment, you can utilize, among other features:

• Orchestrator and centralized logging,
• role and access management,
• automation versioning,
• Action Center and Human-in-the-Loop processes,
• governance policies,
• AI Trust Layer,
• monitoring of processes and agents,
• separation of DEV, TEST, and PROD environments,
• log exports to audit, SIEM, or GRC systems.

Merely having these features does not equal compliance, however. They must be properly configured and tied into organizational procedures.

Governance should be designed alongside the process, not tacked on a week before an audit.

The Minimum Standard for AI-Driven Automation

Every process utilizing AI should have at least:

• a description of its purpose and permitted use,
• a business and technical owner,
• a risk classification,
• a register of used models and vendors,
• a description of input and output data,
• an impact assessment on people and the organization,
• defined confidence thresholds,
• a Human-in-the-Loop pathway,
• access control compliant with the principle of least privilege,
• versioning of models, prompts, and workflows,
• logs enabling action recreation,
• quality, security, and resilience tests,
• an error and incident handling procedure,
• periodic reviews of the solution’s effectiveness,
• a plan for system shutdown or reverting to a manual process,
• an appropriate level of knowledge and training for those using the AI.

The AI Act specifically requires providers and deployers of AI systems to take measures ensuring an adequate level of AI literacy among the staff operating such solutions.

What are the penalties for non-compliance?

Violating the AI Act can lead to inspections, orders to restrict or withdraw the system, and significant financial penalties. Depending on the type of infringement, maximum fines under the regulation can reach up to €35 million or 7% of the company’s total worldwide annual turnover.

However, non-compliance means more than just administrative fines. It also entails the risk of halted processes, lost contracts, claims from affected individuals, audit issues, and a loss of trust from clients and employees.

A lack of ISO 42001 certification is not a legal violation in itself. The problem arises when an organization cannot demonstrate that it has an effective AI risk management system in place, or when compliance with the standard was required by a client, tender, or contract.

Key Takeaway

Compliance is not about banning an organization from using AI. It is about ensuring the organization can answer three questions:

1. What does our AI system do?
2. How do we control its operation?
3. Who is responsible when the output is wrong?

UiPath can provide many of the mechanisms needed to deploy AI securely. However, it will not replace accountability, governance, and a properly designed process.

The biggest risk today is not the lack of AI in an organization. The biggest risk is AI that is already running, but is not listed in any register, has no owner, and leaves an insufficient audit trail.

Scale Innovations Responsibly with XELTO DIGITAL

As an organization grows, so does its complexity and operational risk. The application of artificial intelligence amplifies these challenges, which is why merely implementing technology is no longer enough today.

At XELTO, we streamline company operations during their growth—we stabilize processes and systems (from integration to automation) and take full accountability for the final result. The challenge of managing artificial intelligence has an operational dimension, and we deliver solutions that guarantee the secure scaling of operations. Our team of experts, working out of our Kraków office and beyond, will ensure that your RPA processes and AI Agents operate not only efficiently but also in accordance with the highest compliance standards.

Automation is your future. Contact us, and let’s build a secure environment for your processes.

We Care. We Deliver.

The post The AI Act and ISO 42001 in Process Automation: How to Implement AI and UiPath in Line with Compliance Principles appeared first on Xeltodigital.com.

In our team, we continually seek innovative methods to enhance our productivity and creativity. Today, we are eager to share our thoughts on the role artificial intelligence (AI) can play in projects. 💭

Wondering about the benefits?

1️⃣ Productivity growth – implementing AI can increase work efficiency by 30-80% in tasks related to writing and programming.
2️⃣ Personalization – AI adjusts to individual needs and skills. It offers unique solutions for each user.
3️⃣ Task automation – AI can take over the execution of routine tasks. This allows you to save time for more complex projects.
4️⃣ Centaur collaboration – combining human creativity with the computational power of AI opens new horizons in project implementation.

How to collaborate effectively with AI? 🤝

➕ Know its strengths and weaknesses – just like when introducing a new team member, it’s important to know the strengths and weaknesses of AI to maximize its potential.

🤖 Set the rules of the game – determine which tasks will be performed by AI and which will remain in human hands.

🥼 Be open to experiments – it’s worth testing AI in various areas.

Basic AI tools you can use:

• Microsoft Bing in Creative Mode – easily accessible and versatile, ideal for a wide range of applications.
• GPT-4 from ChatGPT Plus – advanced, offers calm and balanced responses.
• Anthropic’s Claude – characterized by longer memory and pleasant interaction.
• Midjourney – specializes in creating images, perfect for visual projects.

Integrating AI into your team is a way to introduce an untiring workforce that is ready to support your actions. Its use depends solely on your creativity and needs.

🔗 Contact us, and we will gladly show you how AI can revolutionize the way you work

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Artificial Intelligence (AI) is transforming the world of industry, introducing innovative solutions and optimizing processes on an unprecedented scale. Thanks to advanced algorithms and machine learning capabilities, AI is opening new horizons in many areas of industrial activity. Let’s see how AI precisely affects every aspect – from production to logistics.

🏭 In production:

• Process Automation – AI significantly increases efficiency and quality, while simultaneously reducing costs. AI systems are capable of analyzing sensory data, detecting faults, and avoiding downtime.
• Demand Forecasting and Inventory Management – Using advanced prognostic models, AI predicts demand, enabling better inventory management.

🔍 In control:

• Automatic Quality Control – AI-based vision systems identify product defects, ensuring higher quality.
• Predictive Maintenance – AI analyzes data from sensors, predicting failures, which minimizes production downtime.

🚚 In logistics:

• Route Optimization and Fleet Management – AI assists in planning efficient routes, increasing efficiency and minimizing delivery time.
• Planning of Loads and Warehouses – AI facilitates the organization of warehouse space and the placement of loads.

In summary, implementing AI in the industry brings benefits such as increased efficiency, cost reduction, quality improvement, and better resource management. The future of industry will undoubtedly become more and more dependent on innovative solutions based on artificial intelligence. 💡🔝

What are your experiences with implementing artificial intelligence in the industry? Schedule a free meeting – we are eager to share our knowledge and experience on this topic with you 📖 💬

Author: Monika Marczyk, Project Manager

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In today’s dynamic business world, where adaptation and innovation are not just advantages, but requirements for survival, intelligent automation (IA) forms the backbone of digital transformation.

IA is no longer just a technological term; it has become a fundamental shift in how businesses approach work, from finance markets to healthcare. The case of the UK’s National Health Service, where automation of referrals saved £220,000 and reduced process time from 25 minutes to just 5, is just one of many success stories. These are concrete results that speak for themselves.

The Impact of Intelligent Automation

In a world where business applications are as diverse as the markets they serve, IA offers consistency, efficiency, and opportunities that seemed unattainable until recently. From robotic process automation (RPA) to conversational AI, it is an integrated ecosystem that enables businesses to achieve more with fewer resources.

However, despite these successes, we face challenges such as developing and maintaining the right skills among employees. Additionally, managing the change implementation of IA can add new challenges for managers.

IA Implementation Strategies

🔍 Where to Start? 🔍

• Align with strategy: Determine how IA supports your business goals.
• Leadership support: Ensure support and understanding of IA’s value.
• Choosing a partner: Select a provider that best supports your industry and goal.
• Review and adapt: Monitor and adjust actions to fit the dynamically changing environment.

Intelligent automation is no longer an “option” – it’s a necessity for enterprises that want to not just survive, but thrive. Is your business ready for IA?

Author: Joanna Sioła, Digital Sales Specialist

The post The essential role of Intelligent Automation in modern business strategies appeared first on Xeltodigital.com.

Burnout is an epidemic of our times, affecting more and more professionals across various industries. The increasing expectations and constant race against deadlines – balancing work and personal life becomes a challenge. 🤔🔥

But what if we tell you that robots can be part of the solution to this problem? 🤖

Automation takes over routine, time-consuming tasks, giving people something priceless – time. Time that can be devoted to innovation, creativity, and most importantly, regeneration. ⌛

Key Points Where Automation Can Be a Hero:

• Reduction of Workload: Robots can handle repetitive tasks, reducing workload and stress levels.
• Focus on Value-Added Tasks: Workers can focus on tasks requiring empathy and strategic thinking.
• Flexibility and Adaptability: Automation allows for remote work and flexible hours, which is key for a good work-life balance.

Examples of automation are all around us. For instance, in the finance industry – chatbots handle customer inquiries, allowing employees to focus on more complex issues. In the healthcare sector – EHR (Electronic Health Records) systems automate data entry, giving more time for patient care.

Automation does not mean replacing humans with machines. It means using technology as support to help us work smarter, not harder. 🚀

Want automation to change your workplace and help fight professional burnout? Contact us! 💬

Author: Monika Serafin, Service Delivery Manager

The post Embracing Automation: A Solution to Occupational Burnout appeared first on Xeltodigital.com.

The video game industry stands on the threshold of a new era, where artificial intelligence (AI) becomes not only a tool but also a partner and opponent in virtual worlds. In this revolution, AI takes our entertainment experiences to a level of interaction and realism that was previously unattainable.

👾 AI-Enhanced Opponents

Remember the times when computer opponents were predictable and limited? That’s a thing of the past! Thanks to machine learning, AI in games adapts to your playing style, continually increasing the level of challenge and the realism of tactics.

🌍 Procedural Generation

AI algorithms can now create endless gaming worlds with infinite variety. Every game can be unique, which significantly increases its replay value and freshness.

🎨 Player Adaptation

AI analyzes your in-game behavior, adjusting difficulty, storyline, and challenges to be just right for you. Forget about one difficulty setting for everyone – now the game “gets to know” the player.

🤖 In-Game Assistants

AI can now act as your support in the game, providing strategic suggestions, helping you achieve goals, or even taking over for you in some aspects of gameplay. These are real digital companions of adventure.

As enthusiasts of technology and gaming, we are excited about the potential of AI in revolutionizing our approach to entertainment. What once seemed the domain of science fiction is now becoming a reality in our living rooms and on our computer screens.

Let us know which AI innovations in games have made the biggest impression on you! 🕹️✨

Author: Monika Marczyk, Project Manager

The post The impact of artificial intelligence in video games appeared first on Xeltodigital.com.

In the face of rapidly advancing technology, the role of artificial intelligence (AI) in the e-commerce industry cannot be ignored. Are you wondering how AI is precisely transforming the world of online shopping? Here are deeper insights into key aspects:

Automation & Personalization

The days of generic product recommendations are coming to an end. AI tailors shopping experiences by analyzing each customer’s individual preferences, enabling online stores to offer more personalized recommendations.

Chatbots

Instead of traditional forms of contact, AI provides support in the form of chatbots, offering quick responses to customer inquiries, from order status to product information.

Personalized Recommendations

By leveraging data from purchases and browsing history, AI can predict which products might interest you the most, making it easier to discover hidden gems in online stores.

Logistics & Delivery

Optimizing delivery routes and AI-based forecasting ensure that products reach customers faster and more efficiently than ever before.

Security

Thanks to AI algorithms, online stores are better prepared to detect and respond to potential threats, enhancing the protection of customer transactions.

In summary, artificial intelligence makes online shopping more intuitive, secure, and tailored to the needs of each of us.

As technology continues to advance, we can only expect further enrichment of the shopping experience through AI. We are witnesses to a true revolution – are you ready to be a part of it? 🌎 Contact us!

Author: Joanna Sioła, Digital Sales Specialist

The post The impact of AI on e-commerce: Revolutionizing online shopping appeared first on Xeltodigital.com.

Over the past few years, Robotic Process Automation, or RPA, has gained a tremendously significant position on the technological map. Offering modern solutions in process automation, it has entered a phase of exponential growth, transforming various industries – from finance to healthcare. 🤖

Here are the key roles of RPA in 2023:

• Automation of administrative rasks: RPA enhances administrative tasks, reducing human intervention, resulting in increased efficiency and productivity. Data management processes have never been so straightforward!
• Customer service and support: Thanks to RPA-based chatbots and automated processes, companies can provide 24/7 support, increasing customer satisfaction.
• Financial and accounting processes: RPA bots significantly reduce manual errors in financial reporting, leading to cost savings. Generating large-scale bank payments is now possible in a short time!
• Supply chain management: In the face of global uncertainties, RPA enables companies to adapt quickly to changing market conditions.
• IT operations: From software testing to server maintenance, RPA plays a crucial role in IT operations, ensuring system reliability.

According to the latest analysis, the RPA market is projected to reach a value of $66,079.34 million by 2032, with an annual growth rate of approximately 37.9% from 2023 to 2032. 🔍

In the era of rapid technological changes, RPA serves as one of the key tools supporting digital transformation. What was once a vision of the future is now becoming a reality in many economic sectors.

For organizations aiming to stay one step ahead of the competition, investing in RPA is not just a trend but primarily a source of success!

Get in touch with us and discover what RPA can revolutionize in your company!

Author: Monika Serafin, Service Delivery Manager

The post Technology that is revolutionizing modern business in 2023 appeared first on Xeltodigital.com.

Artificial intelligence (AI) undoubtedly transforms the business landscape.

However, data from the Randstad Workmonitor Pulse survey shows that while half of the respondents are excited about its application in the workplace, only 13% of employees received AI training last year. 🏫

Additionally:

• 🔸 52% of those surveyed believe that AI will increase their chances of advancement.
• 🔸 In India, as many as 30% of respondents are interested in AI training next year.
• 🔸 The younger generation is ready to take action – 42% of respondents would leave their jobs if they didn’t have the opportunity to learn and develop.

Intelligent automation, as the evolution of automation technology, also shapes a new era of digital transformation.

It encompasses managing business processes, robotic process automation, task and process exploration, intelligent document processing, computer vision, and natural language processing.

In the face of these changes, a key challenge for companies is to invest in developing employees’ skills to stay competitive.

Organizations must also be aware of the evolution in the field of intelligent automation to maintain competitiveness and increase productivity. 🔝

As a result, AI and intelligent automation training should be a priority for every entrepreneurial organization. As Sander van’t Noordeinde, CEO of Randstad, said, “Organizations that will succeed are those that harness the readiness and capabilities that artificial intelligence offers among their employees.” 🕴️

Therefore, we encourage you to invest in educating your employees in the field of AI and intelligent automation.

Is your company ready for a technology-dominated future? If so, contact us and find out how XELTO DIGITAL can assist you! 💭 👐

Author: Monika Marczyk, Project Manager

The post Investing in AI training: unlocking future success appeared first on Xeltodigital.com.

In times when technology permeates every aspect of our lives, artificial intelligence (AI) stands out as a game-changer in the financial industry. 🌍💼

1️⃣ Data analysis and trend forecasting:

Thanks to advanced algorithms, AI can delve into massive datasets, uncover hidden patterns, and predict market trends. The result? Optimization of investment strategies, risk reduction, and better portfolio management. 📈

2️⃣ Process automation and customer service:

Have you ever chatted with a bank’s chatbot? That’s AI in action! Such modern solutions driven by AI not only boost efficiency but also allow professionals to focus on more complex tasks. 🤖💬

3️⃣ Risk and fraud:

AI is indispensable in identifying risks and detecting fraud. Advanced systems analyze customer behavior, transactions, and other patterns to identify and prevent potential threats. Imagine a system that monitors customer transactions and can detect unusual activities – all thanks to AI. 🔍🔐

In summary, AI is not just the future – it is our present!

When used properly and ethically, it can be a powerful tool supporting both consumers and professionals in the financial industry. However, let’s remember that, despite its advanced nature, technology always requires human touch and supervision.

Curious to learn more on this topic? Get in touch with us and discover how XELTO DIGITAL can assist your company in automating financial processes! 📨

Author: Joanna Sioła, Digital Sales Specialist

The post AI’s impact: a revolution in the financial industry appeared first on Xeltodigital.com.