Xtracta Blog

Choosing the Right Automated Invoice System The pace of business today demands smarter, innovative systems that save time without compromising on quality. Manually processing invoices typically takes days or even weeks to reach final approval.   With an automated invoice system such as Xtracta, what once took multiple days can now happen on a much faster timeline. Combining with seamless software integration, invoice automation systems deliver accurate, fast, and scalable results.   Manual vs Automated Invoicing Manual invoice processing is usually the default method for businesses managing their accounts payable, but it comes with significant drawbacks. Processing a single invoice…

OCR vs AI Data Extraction: Why Machine Learning Matters Optical Character Recognition (OCR) has long been used to digitise physical documents, transforming printed or handwritten text into machine-readable data. But as document formats grow more complex and business needs become more demanding, traditional OCR technology is reaching its limits. Additionally, there is an industry shift away from paper with ever growing numbers of documents being produced and sent as digital files such as PDFs.   Today, AI-powered data extraction offers a more advanced, flexible alternative. Let’s compare OCR vs AI Data Extraction, unpacking the differences and examining why intelligent solutions…

Why Generative AI Isn’t Enough for Invoice Capture For businesses aiming to reduce manual workloads and embrace automation, invoice capture is often one of the first areas explored. Traditional paper invoicing can take around 23 days to process, provided there are no issues. When errors are involved, processing times can stretch to as long as 90 days, a delay many businesses can’t afford while waiting on vital cash flow.   At first glance, using generative AI (GenAI) for invoice capture may appear to be the most accessible solution, especially if your team is already familiar with it in other areas…

Specialised AI vs General AI Generative AI is being used across a growing number of industries to improve decision-making, reduce costs, and automate all manner of knowledge-based tasks. But not all AI is created equal. Two distinct types – general AI and specialised AI – offer very different capabilities. Before investing in one or the other, or both, understanding their strengths and limitations is crucial to making smart business decisions.   General AI is good for a huge range of tasks, from analysis, reasoning and general knowledge Q&A to even full content creation. The models that power these AIs are…

Defining Agentic AI – Limitations and Opportunities Agentic AI is the newest trending development that has captured the imagination of businesses around the world. Promising genuine autonomy, it’s often been referred to as the next step beyond generative AI. It can make decisions, perform tasks, and learn tasks independently as needed for it to achieve its goals. On paper, agentic AI appears to take us one step closer to unlocking the full potential of artificial intelligence. But in an industry saturated by marketing and hype, has it lived up to its reputation?   Like all emerging tech, agentic AI’s actual…

Automated Carbon Accounting with AI Data Extraction Environmental responsibility is becoming more important for businesses due to growing concerns about climate change. With a heightened focus on sustainability, carbon accounting has become a valuable tool for measuring a business's climate impact and identifying ways to reduce it. However, the process can be time-consuming due to the extensive data collection required to cover the volume and variety of information involved.   This challenge can be addressed with the help of document data extraction software like Xtracta, which automates carbon accounting by quickly processing documents and extracting relevant information. Third-party consultants and…