AI agents are a hot topic in the world of technology now. They represent a new breed of existing AI solutions that aim to automate processes and improve efficiency by providing each employee with a personal assistant. Over the past year, AI tools such as chatbots have become an integral part of everyday life. In a survey conducted by PwC in August 2024, 73% of respondents stated that they already use chatbots such as Microsoft's Copilot and ChatGPT daily or plan to use them. At the moment, however, the focus is increasingly on AI agents that combine a range of the skills of chatbots with broader automation and personalisation capabilities.
In the digital age, with technology becoming the basis for business process transformation, the synergies between e-invoicing and AI offer great potential for improving efficiency, accuracy and compliance. Yet the rapid evolution of AI technology increases the need for a clear set of rules to secure ethical practices and data protection. In this article we look at how the integration of e-invoicing and AI technology changes business operations, what the main challenges are, and what aspects organisations need to consider when adapting to the evolving regulatory environment.
The integration of e-invoicing into your finance function can significantly improve its efficiency and accuracy. However, this digital development brings with it some new risks, particularly in the area of fraud. The growing role of technology in financial transactions causes organisations to strengthen their security systems and focus on modern fraud detection solutions. In this area, artificial intelligence (AI) has become a crucial tool that provides organisations with advanced methods for detecting, preventing and minimising fraud. In this article we explore how AI can detect fraud in e-invoicing systems and how organisations can benefit in practice.
The rapid evolution of artificial intelligence (AI) and machine-learning technology has led to their increased use in tax administration across Europe and in Latvia. The adoption of AI has proved to be particularly effective, helping tax authorities prevent tax discrepancies and fraud, improve taxpayer experience and increase the effectiveness of internal processes. This article explores various recent examples of how AI is used to improve tax administration and boost tax revenues in Latvia and elsewhere in Europe.
If we are to successfully integrate artificial intelligence (AI) in society, first of all we need to cross our moral threshold. We can see a common attitude that “the technology is not ready, it’s not capable of doing what I need”. However, we often expect AI to act independently like a human. The technology can do a lot of things, yet we need to find out if we are able to see its added value. The computer does what we tell it to do, rather than what we want it to do.
A system of artificial intelligence (AI) can make your day-to-day work increasingly more efficient, competitive and productive in both the private and the public sector. There are various AI system models on the market you can put in place, tailor to your company’s needs and use in your day-to-day work. Remember that, for instance, a company using an AI system for its professional purposes under EU Regulation 2024/1689 (the ‘AI Act’) faces various obligations for AI system maintainers.
One day I tried out Copilot for Microsoft 365 and realised this GenAI tool isn’t going to replace me at PwC but it will certainly change my daily life. PwC Latvia has been a Microsoft partner since last Christmas, and I’ve been encouraging Latvian companies to test Copilot’s capabilities. Each company can come up with its own scenario and see how it can benefit from using GenAI. It’s important that your company has its own task where it expects added value from GenAI. It wouldn’t be right to use the technology ‘unattended’ and laugh about images it generates with two-headed persons or about Neil Armstrong being hailed as the first astronaut. Below I offer my scenario and findings.
Generative artificial intelligence (GenAI) has become an essential business tool that helps companies optimise their processes, improve efficiencies and cut costs. However, to better understand GenAI’s impact on finances, it’s important to consider the cost of this tool from different aspects.
We have written before about the popular artificial intelligence (AI) tool, ChatGPT, from both a functionality perspective and a data protection viewpoint. This article explores the latest trends in using generative AI (GenAI) and offers some AI business predictions.
