Technology Archive

In credit management, your day-to-day work varies. One day you might spend hours determining the best terms for a customer with a rocky credit history while on others you might be settling a mounting pile of disputes. No matter what the day brings you, data is likely playing an important role in how you make those tough credit decisions.   Why it matters: Data is important when working in credit, so it is critical that credit managers are well-versed in how to work efficiently and effectively in Excel. While …

Artificial intelligence has quickly evolved from a buzzword to a daily operational tool. Credit departments across construction, distribution and manufacturing are feeling the shift. Whether teams are interpreting payment behavior, communicating with contractors or supporting sales and operations, AI is helping credit professionals work faster and smarter. But here’s the key insight: AI is only as good as the prompts it’s given. Just like a calculator needs the right formula, AI needs clear, structured input to produce reliable results. That’s why mastering “AI prompting” has become a pr…

Every credit manager knows the all-too-familiar sinking feeling that comes when your office tech is not working. Whether it’s as complicated as your automated collections system malfunctioning or as simple as your laptop not responding, it can be hard to know when and how to ask your IT department for help.  

In a profession as data-reliant as credit management, it can be easy to get lost in a mess of spreadsheets. With so much data to consider with every credit decision, it is vital that credit managers have a dashboard that clearly presents pertinent data not just for them, but for their companies.  

New technology reshapes the business credit profession, as each innovation reframes the work of a credit manager by automating everyday tasks. Unfortunately, just as technology can transform a credit manager’s work, it can give rise to creative ways for fraudsters to take advantage of businesses.  

In business-to-business (B2B) credit management, the sheer volume of data—from financials and payment histories to market trends—can overwhelm teams. Data automation and Robotic Process Automation (RPA) can transform these tasks, rapidly processing and analyzing critical information. By cutting down manual work, these tools enable faster, more accurate credit decisions while minimizing risk, making credit management smarter and more efficient. 

Over the past decade, technology has transformed how credit professionals conduct business. Automation and artificial intelligence (AI) have streamlined tedious, manual processes, allowing credit professionals to focus more on strategic, value-added tasks. However, technological advances have also led to an increase in fraudulent activity within business-to-business (B2B) credit. 

Artificial intelligence is gradually becoming a mainstay for many credit managers, with automated credit processes powered by AI supercharging the work of many credit departments. However, with this new technology comes new anxieties around fraud. It is important to note that just as easily as AI can assist your work as a credit manager, it can also be manipulated by fraudsters who can use the new tech to target your business.