Our comments:
Financial Controller
Significant Impact of AI on the Job
26%
level of automation
0%
100%
This section reviews the 3 main tasks associated with the job studied and assesses the potential level of automation induced by AI ('AI Automation Impact').
The modeling uses 8 criteria detailed on the 'Methodology' page.
The modeling uses 8 criteria detailed on the 'Methodology' page.
| Tasks | AI Automation Impact |
|---|---|
| Develop the company's budget and regularly compare it to actual results. | Moderate |
| Analyze discrepancies between forecasts and results, identifying their causes. | Significant |
| Provide financial reports and analysis to assist in decision-making. | High |
Through our research, we have identified two pivotal categories of skills that will be impacted by AI-driven automation :
- 'At-risk skills,' which are likely to become obsolete due to their susceptibility to automation
- 'Future-proof skills', which are projected to retain their value and resist automation, thereby ensuring their relevance in the forthcoming job market.
| At-risk Skills | |
|---|---|
| Perform Accounting Management. | The automation of accounting systems and technology can reduce the need for manual accounting management skills. |
| Financial Data Compilation and Preliminary Analysis | Advanced AI systems can automatically compile and conduct an initial analysis of financial data, reducing the need for Financial Controllers to engage in manual data management and basic analysis. This allows professionals to focus more on higher-level analytical tasks and strategic decision-making |
| Future-proof Skills | |
|---|---|
| Determine corrective measures. | While technology can provide data, interpreting that data and deciding on corrective actions still requires human judgment. |
| Evaluate the performance of an organization. | Evaluation requires a deep understanding of the company's operations, its competitive environment, and external factors, which goes beyond mere data analysis. |
How does AI impact this job type ?
Get the full analysis
AI technologies increasingly permeate the field of financial control, offering enhanced capabilities in sifting through vast data sets, executing rapid data analysis, and swiftly pinpointing discrepancies, which vastly streamlines management control processes. While these automated systems ensure a meticulous and efficient preliminary analysis, the pivotal role of a Financial Controller extends into realms yet uncharted by AI, particularly in nuanced data contextualization and strategic communication to management.
Consequently, although AI serves as a powerful auxiliary tool, mitigating the burden of manual data handling and basic analysis, it doesn’t render obsolete the expertise and discerning analytical prowess of a Financial Controller.
Thus, while AI reshapes the landscape, facilitating certain aspects of the work, the sophisticated, strategic decision-making and insightful communication intrinsic to the role safeguard its indispensability in the foreseeable future