{
  "id": 15538843,
  "title": "AI to transform the future of finance",
  "url": "https://urgent.news/2026/10/19/ai-to-transform-the-future-of-finance",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-19T02:04:42.000Z",
  "source": {
    "name": "Vietnam Investment Review",
    "slug": "vietnam-investment-review",
    "url": "https://vir.com.vn/ai-to-transform-the-future-of-finance-163156.html"
  },
  "original_language": "en",
  "account": "Artificial Intelligence (AI) is poised to drastically reshape the finance industry, according to industry leaders. Rather than simply automating existing processes, AI can provide decision-makers with better, more timely information, enabling them to act on emerging issues before they escalate. Currently, finance departments often struggle to keep up with the rapid changes happening within businesses, as they typically only provide a retrospective view of past performance. By harnessing AI, finance teams can proactively identify potential problems and test different scenarios, ensuring that management can respond promptly. The key to a successful AI-enabled finance function lies not in the number of tools purchased, but in its ability to provide decision-makers with relevant information when it matters most. Practical applications of AI in finance include alerting treasury departments to potential collection risks, assisting financial planning and analysis teams in testing changing assumptions, and directing controllers towards unusual transactions. Early investments in AI for finance have largely focused on productivity improvements, such as automating reports and reducing repetitive work. However, these gains pale in comparison to the potential benefits of AI in identifying emerging issues and connecting financial and operational information. Successful implementation of AI in finance requires more than just technological advancements. Reliable data, visible assumptions, and human judgment remain crucial. Finance leaders must continue to challenge AI recommendations, consider the business context, and retain ultimate accountability for the final decision. PwC's collaboration with OpenAI demonstrates the potential of embedding AI within finance processes rather than treating it as a separate layer. However, the ultimate success of AI in finance will depend on aligning ownership, definitions, and decision rights across various functions. Organizations must first clarify these aspects before expecting technology to create significant value. For CFOs, the immediate risk may not be moving too slowly on AI, but rather introducing it into processes plagued by unclear ownership and inconsistent data. This can create an illusion of confidence without improving the quality of the underlying decision.",
  "summary": "Financial heads around the world must contend with the AI era Mohammad Mudasser partner of Deals Transformation at PwC Vietnam looks at how it could help shape tomorrow s business decisions",
  "key_points": [
    "AI can provide decision-makers with better, timely information in finance.",
    "AI enables proactive identification of potential problems and scenario testing.",
    "Successful AI implementation in finance requires reliable data and human judgment."
  ],
  "editors_take": "Moving beyond simple automation allows finance teams to shift from retrospective reporting to proactive decision-making, provided they first resolve underlying issues with data quality and organizational ownership.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}