Despite the upcoming rollout of e-invoicing in the UAE, scheduled for early 2027, many local enterprises risk failing to leverage artificial intelligence effectively. Industry experts at the NAFA Summit in Dubai cautioned that while e-invoicing will provide a wealth of standardized data, simply possessing information is not enough to guarantee success. Jash Hutheesing of Cygnet.one noted that the primary hurdle isn't the AI models themselves, but rather the legacy of messy, unstructured data—such as PDFs and manual entries—that companies have traditionally relied on. Without cleaning up these inputs, businesses are likely to fall into the same trap as many global firms, where the vast majority of enterprise AI implementations fail to produce any tangible impact on profit margins or operational efficiency.

The transition toward automated, AI-driven financial workflows also brings significant regulatory and accountability concerns. As governments across the GCC increasingly utilize real-time reporting to streamline tax compliance, the burden of data accuracy falls squarely on the shoulders of private firms. Furthermore, as businesses move toward using "agentic AI" to manage B2B payments and procurement, CFOs must confront difficult questions regarding oversight and liability. Armin Moradi, CEO of Qashio, emphasized that rather than waiting on the sidelines, financial leaders need to proactively establish frameworks for how much autonomy they are willing to grant these systems. In an increasingly competitive landscape, those who fail to balance innovation with rigorous risk management risk being left behind by their more tech-forward peers.