Unlocking the Potential of AI in Financial Performance Management

Simon Tyrrell

Hatched by Simon Tyrrell

Apr 29, 2024

4 min read

0

Unlocking the Potential of AI in Financial Performance Management

For CFOs who see past the hype, AI is already revolutionizing financial performance management. It is no secret that many finance and accounting teams are burdened with manual data gathering, spreadsheet manipulation, and formula error-checking. These tasks consume hundreds of hours that could be better spent analyzing data, evaluating scenarios, and devising strategic plans. The ability to dedicate more time to scenario planning alone could be a game-changer for businesses.

Traditionally, developing a single spreadsheet model could take teams hours or even days. However, with the power of AI, this process can be completed in a matter of minutes. Furthermore, AI can generate a conservative scenario and a more aggressive scenario to provide a comprehensive analysis. By enabling finance professionals to quickly analyze multiple scenarios, AI empowers them to make informed decisions.

The demand for increased productivity and faster results is growing rapidly. AI has the capability to surface anomalies in massive datasets within minutes, a task that would otherwise be time-consuming and prone to human error. With AI taking care of these mundane tasks, finance professionals can focus their efforts on higher-value activities that require their expertise and strategic thinking.

Middle managers, often overlooked, hold the key to unlocking the true potential of generative AI. Currently, generative AI and other technologies have the ability to automate 60-70 percent of employees' time-consuming activities. In fact, it is estimated that 80 percent of U.S. workers could have at least 10 percent of their tasks automated by generative AI, while one in five employees could see at least half of their responsibilities affected.

As AI becomes more prevalent in the workplace, the role of middle managers becomes increasingly crucial. They will be responsible for guiding their teams on how to effectively utilize AI, prioritizing their time now freed up by automation, and aiding in their professional development to adapt to new roles. It is worth noting that 58 percent of tasks related to "applying expertise" could potentially be automated. Middle managers can leverage generative AI to provide personalized support to their teams, fostering a more effective leadership style.

However, it is imperative that middle managers possess certain human qualities that cannot be replicated by AI. These include human judgment, empathy, and creativity. Unfortunately, many middle managers may not feel equipped to apply creativity in their roles as it may not align with traditional practices. Therefore, it is essential that managers are trained to embrace and apply these uniquely human skillsets. By doing so, they can effectively utilize generative AI and guide their teams to do the same.

Furthermore, middle managers have a critical role in understanding the limitations and potential risks associated with AI-based technologies. They must ensure that the technology is used responsibly and ethically. Moreover, middle managers should reevaluate their team's tasks and responsibilities through the lens of AI, identifying areas where automation can improve productivity and efficiency.

Currently, less than 30 percent of managers' time is spent on people leadership, with the majority dedicated to individual execution or administrative tasks. However, it is estimated that 49 percent of managerial work can be automated. This presents an opportunity for middle managers to shift their focus towards people leadership and strategic decision-making. By embracing generative AI, they can increase their productivity and empower their teams.

In conclusion, AI holds immense potential in transforming financial performance management. By automating mundane tasks, AI allows finance professionals to dedicate more time to analysis and scenario planning. Middle managers play a pivotal role in facilitating the successful deployment and adoption of generative AI. They must develop their own human qualities and guide their teams to do the same. Additionally, managers must be aware of the limitations and risks associated with AI. By leveraging generative AI effectively, middle managers can not only increase productivity but also empower their teams and drive organizational success.

Actionable Advice:

  1. Embrace AI: As a finance professional, familiarize yourself with AI technologies and their application in financial performance management. Understand the benefits it offers and be open to leveraging its potential.
  2. Invest in Training: Middle managers should seek training opportunities to develop their human qualities such as empathy, judgment, and creativity. This will enable them to effectively lead their teams in an AI-driven environment.
  3. Foster a Learning Culture: Encourage continuous learning and development within your team. Help your team members enhance their skills and adapt to their evolving roles in the age of AI.

Incorporating AI into financial performance management is not a mere trend but a transformative opportunity. By harnessing the power of AI, finance professionals and middle managers can drive efficiency, productivity, and strategic decision-making in their organizations.

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