{"id":25552,"date":"2025-06-03T17:26:40","date_gmt":"2025-06-03T14:26:40","guid":{"rendered":"https:\/\/profluo.com\/?p=25552"},"modified":"2025-06-04T09:41:59","modified_gmt":"2025-06-04T06:41:59","slug":"interview-automating-the-future-of-finance-with-ai","status":"publish","type":"post","link":"https:\/\/profluo.com\/en\/interview-automating-the-future-of-finance-with-ai\/","title":{"rendered":"Automating the future of finance with AI. A conversation with Bogdan N\u0103forni\u021b\u0103, CEO & Co-Founder Profluo"},"content":{"rendered":"\t\t
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Bogdan N\u0103forni\u021b\u0103<\/span><\/a> is the CEO & Co-Founder at Profluo, a leading company using Agentic AI to automate invoice processing and financial operations. With a strong background in finance and software development, Bogdan has been at the forefront of AI adoption in finance.<\/em><\/p>\n

Bogdan, tell us a bit about your journey – how did you come to work on invoice automation and intelligent finance tools?<\/strong><\/span><\/h4>\n

I was a CFO for more than 20 years, but I was an unusual one – always on the lookout for operational improvements, whether through technical solutions like ERP systems and finance automation, or through deeper business process re-engineering. As a CFO, you need the curiosity to understand what truly drives financial results and the courage to act on that understanding.<\/p>\n

What was the original idea behind Profluo, and how has the product evolved since?<\/strong><\/span><\/h4>\n

Profluo was born out of a deep frustration with the state of finance automation tools at the time – they were brittle, siloed, and far from adaptable.<\/p>\n

We initially set out to build a finance workflow platform, but as the product evolved, we realized we were straying beyond our core expertise. More importantly, we had underestimated the central role that finance documents play in the automation journey. That insight led us to refocus on AI-driven invoice processing.<\/p>\n

Today, we’re doubling down on documents and processes through an Agentic AI lens – bringing modern, intelligent automation to the entire CFO office.<\/p>\n

For people unfamiliar with the space, what exactly is \u201cAgentic AI\u201d and how does Profluo use it differently from traditional automation?<\/strong><\/span><\/h4>\n

Agentic AI is essentially autonomous automation – it understands process goals and dynamically designs the most effective steps to achieve them. In finance, Agentic AI blends advanced AI with traditional automation, delivering the accuracy, efficiency, compliance, auditability, and confidentiality that finance teams require.<\/p>\n

What are the biggest pain points finance teams face today when it comes to e-invoicing, especially with mandates like RO e-Factura or the upcoming ViDA changes?<\/strong><\/span><\/h4>\n

The main challenges are complexity and cost – finance teams face multiple technical integrations and intricate compliance requirements across different jurisdictions. Aligning enterprise ERPs with these demands can be overwhelmingly expensive.<\/p>\n

Implementing, deploying, and maintaining such a fragmented infrastructure often isn\u2019t worth the effort or investment. That\u2019s where unified platforms like Profluo come in, streamlining operations and reducing the burden for large and mid-market companies.<\/p>\n

Profluo<\/b> processes thousands of invoices daily. What makes your AI engine particularly good at this task? Is it the training data, the rules, the integrations?<\/strong><\/span><\/h4>\n

It all starts with our team\u2019s expertise<\/strong> – many of us come from finance roles as accountants and controllers. We deeply understand which problems actually matter to our customers, and we stay focused on solving those first.<\/p>\n

Second, we’re obsessed with accuracy and speed<\/strong>. Our AI achieves over 95% accuracy and performs tasks up to 6x faster than manual work. In finance, even small errors can be high-risk. What to a data scientist is a 10% error in column reading
accuracy, to an accountant it can mean the AI mixes quantities and unit prices, therefore the resulting invoice is 100% wrong.<\/span><\/p>\n

Our third major advantage is the type of data we work with. We thrive on messy, real-world edge cases<\/strong>. Our customers bring us complex problems and documents, which constantly push us to evolve our AI, enhancing accuracy while improving generalization across scenarios.<\/p>\n

You\u2019ve worked closely with Romanian companies during their transition to mandatory e-invoicing. What lessons can other countries learn from Romania\u2019s early move?<\/strong><\/span><\/h4>\n

We\u2019ll dive deeper into this in our upcoming e-Invoicing study, but the key takeaways can be summarized in three main insights:<\/p>\n