클라이언트: Concur Tech(UK)Ltd(Maidenhead)
양식: 백서
크기: 2.87MB
언어: 영어
날짜: 16.04.2024
CFO Insights: Why Finance is Ready for a Breakout Transformation with Artificial Intelligence
Over the past few years, numerous finance departments have navigated this delicate equilibrium using intelligent technologies, such as process automation and predictive analytics. According to the SAP Concur CFO Pulse Survey, nearly 62% of finance leaders agree that artificial intelligence (AI) is an essential tool to manage the unexpected.
Recent breakthroughs in generative AI now offer an opportunity to transform the finance function. However, according to Gartner, 18% of finance staff demonstrate digital competency compared with just 11% of their managers.
In our conversations with finance leaders worldwide, finance processes – including travel and expense (T&E) – emerged as a prime area of transformation with generative AI, and here are the 3 core focuses:
Recent breakthroughs in generative AI now offer an opportunity to transform the finance function. However, according to Gartner, 18% of finance staff demonstrate digital competency compared with just 11% of their managers.
In our conversations with finance leaders worldwide, finance processes – including travel and expense (T&E) – emerged as a prime area of transformation with generative AI, and here are the 3 core focuses:
1. Focus on opportunities that improve the employee experience
As AI systems and automation continue to advance, 82% of finance departments believe their operations will become more efficient. However, this advantage is bringing up concern over whether machines and algorithms will eventually outperform tasks previously exclusive to human capabilities and lead to job loss and an urgent need to reskill the entire workforce. The key to turning fearfulness into productive outcomes is focusing AI innovations on what’s most important to the existing workforce.
2. Deliver personalisation while enhancing finance outcomes
Finance leaders have witnessed unprecedented demand for personalisation throughout the T&E user experience. Advancements in AI bring an opportunity to truly personalise experience in T&E processes while improving efficiency, cost reduction, and compliance. Whether booking travel, submitting expenses, or auditing reports, every user can get a curated set of recommendations, steps, and information that are relevant to their expectations and compliant with business requirements.
3. Build a technology infrastructure for the future of finance
Even the most profitable business models require supportive back-end structures. This strategy involves integrating spend and business data within a secure and accessible environment, helping ensure every employee can leverage AI-enabled predictive capabilities to make better decisions in real-time.
Download the paper to learn more about best practices fueled by research and insights from CFOs at SAP and other businesses.
As AI systems and automation continue to advance, 82% of finance departments believe their operations will become more efficient. However, this advantage is bringing up concern over whether machines and algorithms will eventually outperform tasks previously exclusive to human capabilities and lead to job loss and an urgent need to reskill the entire workforce. The key to turning fearfulness into productive outcomes is focusing AI innovations on what’s most important to the existing workforce.
2. Deliver personalisation while enhancing finance outcomes
Finance leaders have witnessed unprecedented demand for personalisation throughout the T&E user experience. Advancements in AI bring an opportunity to truly personalise experience in T&E processes while improving efficiency, cost reduction, and compliance. Whether booking travel, submitting expenses, or auditing reports, every user can get a curated set of recommendations, steps, and information that are relevant to their expectations and compliant with business requirements.
3. Build a technology infrastructure for the future of finance
Even the most profitable business models require supportive back-end structures. This strategy involves integrating spend and business data within a secure and accessible environment, helping ensure every employee can leverage AI-enabled predictive capabilities to make better decisions in real-time.
Download the paper to learn more about best practices fueled by research and insights from CFOs at SAP and other businesses.
