Whitepaper | The next generation of finance

There are now smarter, safer ways of payment, savings and investments. But how do finance professionals utilise these new technologies?

wilco June 8, 2023
5 min read

How finance professionals can embrace and utilise the latest technologies

Artificial intelligence (AI) and machine learning (ML) have become increasingly prominent in the financial world in recent years, with innovations such as chatbot assistants, fraud detection and automated processes. The pace of these digital developments is unprecedented, with technologies like Web3 enabling organisations to work in a decentralised, distributed and democratic manner. At the same time, AI, ML, and intelligent automation utilise technologies to empower financial organisations to improve their services and optimise their processes. With new technologies, they can now offer smarter, safer ways of payment, savings and investments. Moreover, successful implementations of new technologies can provide a competitive advantage by increasing efficiency and reducing costs.

But how do finance professionals deal with these technological trends? Onguard asked over three
hundred Dutch CFOs, financial managers and financial employees about their views on technology
trends and their impact on their work and the industry. The results are compiled in this research report.

Technology trends influence all parts of an organisation, including financial processes. Artificial intelligence is seen as the biggest influencer of financial processes by 42% of finance professionals because it enables automated processes such as invoicing, saving time and reducing the chance of errors. Big data is also seen as a significant influence (37%) as it allows organisations to analyse risks far in advance and help prevent payment issues.

Blockchain technology

Blockchain is the last trend mentioned, and 14% of finance professionals see its influence on the financial process. They mainly see the greatest opportunity to utilise this technology in reducing errors (21%) and providing more convenience in international and business payments (18%).

Intelligent automation

In addition to artificial intelligence and big data, intelligent automation is also essential in the financial
sector. By combining different technologies, finance professionals can elevate their efficiency and
handle routine processes more easily and quickly. For example, AI can automate credit assessments,
while RPA software can make invoice processing more efficient. Currently, 15% of organisations use RPA
within financial processes, while one-third (33%) is developing ideas for integrating RPA.
Although the benefits are clear to utilising this technology, intelligent automation is currently underutilised, with only 8% of finance professionals currently using it. However, this does not mean there is no interest. The majority (78%) is in the early planning stage or expects to implement it within two years. It is important for finance professionals to gain more knowledge about intelligent automation to implement it successfully. Currently, only one in three (33%) understand what it means.

About the research

Every year, Onguard surveys how Dutch finance professionals view current trends and developments. The survey involved 311 respondents working as CFOs, in finance management or as finance employees.

About Onguard

Onguard’s mission is to make companies financially healthy. We help you get paid, and get paid quicker, because better cash flow leads to improved profitability. Our credit management solutions combine internal and external data to get a thorough understanding of debtor payment behaviour. This lets you identify, assess and control financial risks and create smarter and more considerate communication around unsettled invoices. Which in turn leads to faster payments, fewer write-offs and lower customer churn.

Onguard is a Visma company with more than 30 years experience in facilitating optimised working capital through smart credit management. Bottom line, we provide quality time with your customers by handling the day-to-day operations.

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Credit Health Scan
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What is the annual revenue of your organization?

What are your standard payment terms with customers?

How many FTEs are in your credit management department?

How many invoices does your organization send annually?

How many days on average do your customers pay past your payment terms?

Which system do you primarily use for accounts receivable management?

What percentage of your invoices is paid after the due date?

How does your reminder process for outstanding invoices work?

How quickly do you have insight into your total accounts receivable position?

How do you assess the credit risk of new customers prior to delivery?

How are payment agreements with customers recorded in your organization?

How do you forecast your expected cash flow for the next four to eight weeks?

What percentage of your annual revenue do you write off as bad debt on average?

How do you handle invoice disputes and payment discrepancies?

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