Tags: CFO

CFOs are demanding evidence that AI spending translates into measurable business results, not just activity metrics. While AI can speed up individual coding tasks, those gains often do not scale to system‑level productivity. Leaders are urged to redirect the time saved by AI into quality improvement, technical debt reduction, and high‑friction initiatives such as legacy migrations and security remediation. Leveraging engineering intelligence platforms provides the data needed to link AI usage with throughput, quality, and customer‑visible outcomes, enabling executives to answer hard budget questions with numbers instead of anecdotes. Ler mais

Companies are confronting a new wave of expense fraud as artificial intelligence tools enable the creation of highly realistic receipt images. Demonstrations of AI‑produced receipts show detailed itemization, paper texture and signatures that can deceive human reviewers. Financial leaders report that a growing share of fraudulent expense submissions are AI‑generated, prompting firms to adopt AI‑based detection systems that examine metadata and contextual cues. Research indicates that many chief financial officers believe employees are using AI to falsify travel expenses, highlighting the expanding risk and the need for more sophisticated controls. Ler mais