Perhaps no C-suite position or business function provides a more favorable environment for automation and AI to support growth than finance.
CFOs are in a unique position to spearhead an organization’s larger digitization transition. They possess knowledge of every business division and can assist executives from all departments in comprehending not only the what but also the why of financial data, which will ultimately result in more intelligent business choices across the board. CFOs can spearhead this transition in the following ways:
Establish Goals For Results And Advantages
For your organization, what matters most? Effectiveness, efficiency, growth, or disruption?
RPA, or robotic process automation, has the potential to improve efficacy and efficiency.
You’ll need to use more sophisticated technologies, like AI and machine learning, to break into new markets, upend a sector, or solve challenging issues.
Engage Frontline Staff Directly
Many workers may perceive analytics and automation as a disruptive danger.
By providing the proper training, resources, autonomy, incentives, and governance frameworks, CFOs may overcome opposition and create buy-in.
Giving the finance staff a hands-on involvement in creating and implementing a digital toolkit that eventually automates and simplifies procedures and frees up staff members for higher-value work is one way to achieve this.
Seek methods to combine data scientists and finance specialists to combine technical know-how with specialized knowledge.
Identify The People, Processes, And Performance Areas That You Want To Concentrate On
The way you include AI and automation should be part of a larger plan for financial transformation.
Finding the perfect mix between people (upskilling staff and enhancing the value proposition of the finance department), procedures (making that function more effective), and performance (producing bottom-line financial results for the firm) is the aim, and it will be specific to your organization.
According to 55% of respondents to PwC’s 22nd Annual Global CEO Survey, their capacity to innovate is being hampered by a shortage of critical skills.
Establish A Governance Framework For Data And AI In General
Establish a governance framework that enables finance to obtain data from the appropriate sources, guarantee its accuracy and cleanliness, and grant access to the appropriate individuals at the appropriate times.
Give company executives tools to visualize data and make side-by-side comparisons to aid in the integration of insights from the data.
From defining your AI strategy to training, testing, deploying, and monitoring AI and the data needed to train it, provide frameworks for AI model governance to assist guarantee end-to-end AI governance.
Get The Workers Ready
For frontline staff to deliver high-value work in a finance function when more jobs and processes are automated, they require organized training and upskilling programs.
You might need to lead cultural change in addition to training and upskilling, assisting historically risk-averse financial staff in realizing that, in certain cases, experimenting with AI — if the right safeguards are in place — could ultimately yield benefits.