Security and Automation
The dynamic development of Artificial Intelligence and growing concerns about its impact on privacy and security have accelerated the process of creating regulations. That simultaneously increases user protection and introduces transparency in the use of advanced technologies. In 2025, companies face the serious challenge of rapidly adapting to changing regulations. Customers expect not only high-quality services. They also need an assurance that their data is secure and processed in accordance with applicable standards.
In the traditional analysis model, such a document would require long hours of work by experts. From content analysis to implementing changes in procedures.
Meanwhile, an LLM can:
- analyze documents in a few seconds,
- identify key changes,
- suggest specific actions,
- and conduct a preliminary audit indicating areas of risk.
Automation is not only convenience but also a tool for building a competitive advantage. Thanks to it, companies can act faster, while fully complying with the latest regulations. This is crucial in building customer trust.
Artificial Intelligence guarantees that data is stored in accordance with applicable standards. Every interaction with the customer is efficient and secure.
Source: a16z
Replacing Obsolete IT Systems
Many companies base their operations on so-called “legacy systems”. That is, old, extensive IT systems that were the foundation of operations in previous decades. Maintaining them involves high costs and guarantees a lack of flexibility. This makes them ineffective in the face of rapidly changing business needs. As a result, for a large number of enterprises, digital transformation is a huge challenge with their current infrastructure.
Artificial Intelligence, especially LLMs, is completely changing the approach to regulatory compliance and process automation. Their ability to quickly analyze data and understand context opens up new possibilities in the area of process automation and operating in accordance with applicable regulations. What does this mean in practice? Let’s imagine that a company receives a new set of guidelines from the regulator.
Overcoming this barrier is crucial for their further functioning. The lack of adaptation to market changes hinders their development and limits innovation. It may seem that changing the entire system will require huge time and personnel resources.
The Shift from Systems of Record to Systems of Engagement
Artificial intelligence can help with this problem, allowing the creation of customized systems that significantly facilitate work and relieve personnel. As part of this transformation, traditional record systems (so-called “systems of record”) – which are used to store basic data, such as customer or transaction information – will be gradually replaced by more dynamic “systems of engagement.” They can not only store data.
They can also:
- actively support users in their daily tasks, by simplifying processes
- and enable more effective information management.
Replacing obsolete systems and implementing new AI-based solutions is a process that requires time and large investments but creates huge opportunities for companies. It increases flexibility, facilitates the implementation of innovations, and improves overall operational efficiency. Although dominant companies on the market, using traditional systems, have huge resources and data. In the coming years, more and more enterprises will strive to gain an advantage thanks to modern IT systems based on AI. This challenge is an opportunity for younger technology companies that can take over the market by offering more advanced, dynamic solutions.
Data as the Key to Success
The most valuable resource in today’s world is information. And whoever collects it the fastest and can use it has a huge advantage. Let the fact that technology giants plan to open about 100 new data centers annually in the next 10 years be proof of this. The explosion in demand for data or video processing means that digital infrastructure must keep up with this pace.
For enterprises, this means greater reliability and availability of tools that drive their innovation and competitiveness. However, this dynamic development is also associated with challenges:
- such as the growing demand for energy,
- the need to manage complex infrastructure,
- and concerns about sustainable development.
Data centers are becoming not only the heart of the modern economy but also a new challenge that requires well-thought-out strategies and investments in more environmentally friendly technologies.
Source: Forbes
Also, make sure to read our article about Data Analytics.
Customer Experience First
The introduction and adaptation of the latest technologies have various applications. Some of them is to improve customer experience, increase their loyalty and satisfaction with processes. Companies are introducing personalized shopping experiences both in online and brick-and-mortar stores. Manufacturers are optimizing production processes and after-sales support to better meet consumer needs.
For example, real-time data analysis allows for dynamic adjustment of the assortment, displaying personalized advertisements, or proposing products that best meet current consumer expectations.
The transformation also covers the area of customer interaction – personalized recommendations and advanced search capabilities are just some of the AI-supported solutions that are changing the way customers use services and products. Intelligent systems can understand customer intentions, which makes the search process more intuitive and effective.
Source: Technology Magazine
Actionbot is an example of a product that supports this trend. It’s an innovative AI Virtual Assistant, created with users in mind. Thanks to 24/7 availability, it is always ready to support customers in performing various tasks – from facilitating transactions to helping with filling out forms. Its presence at every stage of the process allows for quick and precise response to user actions. It not only provides support but also recommends services perfectly tailored to individual customer needs. Actionbot already supports clients of companies in the clothing, financial, and educational industries, ensuring the highest level of service.
By providing seamless shopping experiences that cover all channels, customers can freely move between different points of contact – from mobile applications, through websites, to visits to physical stores – while maintaining continuity and consistency of service. This, in turn, positively affects their satisfaction and loyalty to the brand. As a result, companies that effectively implement these solutions will not only improve their financial results but also gain a reputation as leaders in customer service.
Low-Code/No-Code Software
For years, the idea of low-code and no-code software seemed more like a catchy slogan than a practical solution. Platforms that were supposed to be easy to use often required the support of highly specialized consultants, which led to disappointments and unfulfilled promises. However, the development of artificial intelligence has completely changed this situation, removing the obstacles that previously limited their widespread use.
Thanks to AI, the process of creating applications and automating tasks becomes accessible even to people without advanced technical knowledge. The time needed to implement solutions is reduced to hours instead of weeks, which opens up new possibilities in many areas of business activity. Marketing, operational, and HR departments gain a tool that enables the creation of systems supporting daily work, without the need to involve specialized IT teams.
Low-code and no-code solutions offer a practical approach, thanks to which every company can be part of the digital transformation. In times when the pace of innovation is accelerating rapidly, it is the availability of technology that determines who wins the digital race.
Source: Forbes
Fintin has an example of a low-code/no-code solution – the platform offers a Notification Module that allows financial industries manage notifications. It enables the creation and personalization of notifications without the need to involve the IT department. The intuitive interface allows you to design notifications in accordance with the brand’s visual identity, supporting personalization, testing, and effectiveness analysis.
Multimodal Generative Artificial Intelligence
Multimodal artificial intelligence is another step towards more complex and versatile technological applications. Thanks to the ability to process various types of data – such as text, image, sound, or sensory data – they open up new possibilities for companies in many industries.
For example, in financial services, multimodal systems will analyze video clips with market commentary, examining non-verbal signals alongside spoken content.
Moreover, autonomous AI systems – so-called AI agents – will play a key role in business process automation. This intelligent software will manage workflows, ensuring consistent customer service across all channels, both digital and physical. Thanks to them, companies will be able to integrate support in brick-and-mortar, online, and mobile points, guaranteeing users a uniform experience while streamlining internal operations.
Multimodal artificial intelligence allows for deeper data analysis taking into account various sources of information, not only textual, and its implementation brings a number of benefits. From an operational perspective, it allows for faster decision-making and more effective process management. From a business perspective – it is a necessity that allows maintaining a competitive position on the market.
Source: Technology Magazine
AI Governance Platforms
Just as we need AI-based solutions, systems that supervise their operation are equally important. AI management platforms are becoming a key tool, enabling organizations to monitor how these systems are used and how they function – both in terms of regulatory compliance and operational efficiency.
In addition, they enable the management and enforcement of policies that ensure the responsible use of artificial intelligence, as well as the management of the AI system lifecycle. In this way, companies build trust in new technologies while ensuring the positive impact of artificial intelligence on society and the economy.
Implementing effective artificial intelligence management platforms is a major challenge for companies, not only because of rapidly changing regulations but also because of differences in requirements between different regions and industries.
Implementing modern solutions that support risk management and identify potential threats supports financial organizations in maintaining transparency and also has a positive impact on operational efficiency. Platforms such as watsonx.governance allow for central management of AI models, thanks to which enterprises effectively monitor effectiveness, which additionally influences the optimization of activities.
Summary: How to Prepare Your Company for the Future?
The next year brings new, exciting opportunities, but also requirements that only the most flexible and innovative enterprises will be able to meet. The key to success will be the skillful combination of technology, people, and processes so as not only to adapt to the ubiquitous trends but also to anticipate them, becoming a leader of change.
This means the need to make bold decisions and invest in technologies that will drive future development. This is also the moment when inter-industry cooperation, expert knowledge, and openness to novelty will become the foundation of building a competitive advantage.
At TUATARA, we understand these challenges and know how to turn them into a competitive advantage. Contact us to learn how new technologies can support your business. Our experts will help you develop the right strategy and prepare your company for the future.