AI is popping up in countless business functions across every industry. But what does AI actually mean? And more importantly, how does it work? Artificial Intelligence (AI) itself is a general concept that describes machines and computers that can complete tasks that require “intelligence”. An AI model can analyse vast amounts of data, identify patterns and make informed decisions in almost no time, meaning a specific task can be completed at scale and speed. AI allows computers to do things ...
Read more - The ultimate AI glossary: AI behind the buzzword
Gen AI adoption isn’t a question of if but when for P2P teams. Business is transforming and Procure-to-Pay teams need to keep up. With its ability to multi-task and perform out-of-the-box tasks, including summarisation, Q&A, classification and more, Gen AI is changing the game.
Read more - Top 5 Gen AI use cases for P2P teams
The Accounts Payable climate is evolving. More and more AP teams are recognising the value of technology and AI as a catalyst for simplifying their daily workflows.
Read more - 9 ways an AP helpdesk is going to make your life easier
Under the hood of Xelix's Accounts Payable Control Centre By combining rule-based algorithms and machine learning models, Xelix has become a leader in detecting anomalies within Accounts Payable data. Central to our anomaly detection expertise is advanced modelling techniques with Artificial Intelligence (AI).
Read more - How AI and Data Science are driving finance transformation
You spoke and we listened. We asked Xelix customers what would be truly transformative for their overstretched Accounts Payable teams. And they said ‘automated supplier statement reconciliation’.
Read more - The age of AI: Automated statement reconciliation
We spend a lot of time thinking about ‘Invoice Intelligence’. It’s a term we’ve thought up to describe the technology that sits right at the heart of our business.
Read more - What is Invoice Intelligence?
Despite the marketing headlines, most – if not all – players in the duplicate invoice prevention market use rules-based tools to detect errors. The complexity and variety of data from different organisations around the world, however, mean this “one size fits all” approach is simply not efficient. High numbers of inaccurate results (false positives) are surfaced, which creates huge amounts of additional work for Finance teams.
Read more - Using AI to build world-leading duplicate invoice prevention software