Businesses will be significantly impacted by AI in more ways than can presently be imagined. Even while this technology has been around for a while, the worldwide market has completely changed with the emergence of generative AI.
Numerous firms’ entire strategy complexion is anticipated to be impacted by AI and generative AI. Companies will have to think about their core goals, organizational design, and place in the market. Their most valuable assets, major risks, customer acquisition and retention strategies, capital allocation, and return on investment maximization will all need to be reconsidered. The CFO will play a more important role in generating superior corporate value in the AI era as a “strategic partner.” By enabling data-driven banking, artificial intelligence (AI) will genuinely speed up the shift from risk management to value creation. Although the precise nature of these changes is still unknown, we do know that they will have a significant impact on the CFO’s job.
ChatGPT provided a summary when asked how AI will alter the CFO position.
By automating processes, offering sophisticated financial analysis and insights, enhancing forecasting and risk management, maximizing expenses, and facilitating strategic decision-making, artificial intelligence (AI) will completely transform the CFO position.When encouraged by a user, generative AI—like ChatGPT—is an artificial intelligence system that produces new data, media, or content. The structure of the incoming data and learned patterns serve as the foundation for this content output, which is subsequently utilized to create new data with comparable features.
Modifying What Must Be Safeguarded
As the company’s steward, the CFO makes sure the business is compliant and has sound financial practices. The CFO and the finance team’s efforts mitigate risk and safeguard the company’s resources and image. Intellectual property, trade secrets, procedures, and/or material assets like equipment and stock have historically been examples of these assets.
Now that the landscape is changing, there will be more things that require guardianship. The company’s most valuable assets and a source of difference will be data, customer relationships, and brand reputation. CFOs will be responsible for safeguarding the business in all new ways, including data ownership and access, data models, and algorithms. Compared to a secret formula, recipe, or piece of equipment, these are complex entities with very diverse properties.
Additionally, “black box risks” associated with generative AI include inflated expectations for AI’s potential or a general lack of confidence in the technology as a result of problems like AI hallucinations. The financial team will also need to pay closer attention to cyber hazards, particularly with regard to safeguarding consumer data. Any data asset breach could seriously harm the company’s overall integrity and reputation in addition to its financial operations.
There will probably be more laws governing data and privacy protection in this new environment, along with moral standards for the application of AI and other technologies. To meet these objectives, CFOs will have to actively participate in creating business policy.
AI And Operations: The Largest Disruption
AI will have a big impact on the CFO’s traditional job of managing the books and financial reporting. AI will advance financial automation, which will have a big impact on how CFOs manage their own businesses.
AI will improve efficacy and efficiency while streamlining financial operations procedures. The Financial Controller will grow to rely on AI as their digital accountant. This scenario, for instance, is now very real: a “accounting copilot” checks account balances in real-time, identifies irregularities, suggests actions (such as manual journal entries or credit/payment holds), and then follows through on those recommendations after consulting with a member of the financial team.
Finance will also be able to lessen leaks more successfully thanks to AI. The finance teams will be better equipped to identify and address leaks in collections (invalid deductions, late payments), payables (duplicate invoices, fraudulent claims), and credit (dynamic credit adjustments) thanks to AI. AI will also improve assurance by detecting patterns and anomalies and continuously checking controls.
CFOs need to be mindful of two important factors when integrating AI into their regular financial processes. First, connect to the appropriate data source to guarantee the data’s purity. Second, have a “human-in-the-loop” examine every transaction before it is entered or placed in the business’s book of records to make sure it can be explained.
Business intelligence (BI) will also be a rapidly evolving aspect of this profession. In the past, a traditional business intelligence model was used by the finance team to report and inform the company. Teams from finance and technology would run queries, understand and forecast recurring and sporadic requests from a business unit, and provide information and insights. Success was defined as timely and accurate information delivery.
AI will revolutionize all of this. Financial data collection, evaluation, analysis, and distribution will become self-service and independent. Now, AI will genuinely enable data analytics to operate at hyperspeed and as close to the company as feasible, transforming traditional business intelligence into conversational BI. Business and finance professionals will be able to make data-driven choices more quickly because to this new functionality, which will provide more insights into financial performance, trends, and anomalies.
Expansion Of The Value-Creating Role
CFOs have long desired to actively participate in enhancing the business’s overall financial situation. Successful CFOs will embrace AI, turn it into a strategic business partner, and use it to speed up the shift to a genuine data-driven finance organization.
With the use of AI, CFOs will be able to deliver quick, actionable financial and risk-related insights in real-time, which will improve capital allocation, forecasting and projections, analysis of new sources of value, and risk assessment (both new and emerging). Naturally, the finance department has been doing these things for a long time. AI will accelerate this shift by accelerating the implementation of these value-adding activities and the extraction and delivery of these more insightful insights to the business.
AI will enable the financial teams to quickly refine their estimates and projections by ingesting both external (macro, competitors, and mobility patterns) and internal (results, utilization, trends, and customer behavior) data in real-time. Speed will truly make the difference between leading and lagging, and AI will help the business achieve that. They will be able to make better decisions about capital allocation and swiftly and efficiently create scenarios by depending on real-time data. Finance teams will find it easier to apply numerous dimensions to increase the accuracy of their predictions or to offer data-driven advice in favor of or against a new proposal.
CFOs will be able to offer a more balanced perspective on risk rather than merely evaluating new concepts and initiatives using a risk-based methodology. For instance, a finance executive can now use multi-scenario models in place of the conventional NPV/DCF calculator. Additionally, they could prioritize tasks like ongoing maintenance against developing or investing in new capabilities using real-time IoT data (from factories, sensors, or plants, for example). By quickly simulating various scenarios and market situations, they can even maximize capital allocation choices, such as dividend payout versus share buyback.
Lastly, by utilizing data, models, and algorithms, CFOs will now play a key role in assisting firms in locating, characterizing, and monetizing new sources of value. For instance, a life insurer’s longevity models, an e-commerce marketplace’s anonymized consumer behavior and personas, payment networks’ and banks’ customer personas, etc.
The Time That CFOs Will Spend In This New World
In addition to the expected changes in these three roles—value generation, operations, and stewardship—CFOs’ time and attentional footprints will also alter greatly from their current practices. Over time, the operator function will become increasingly independent and self-sufficient. As a result, CFOs will have more time to devote to their critical responsibilities of value creation and stewardship.
This change will represent a paradigm shift in the way financial institutions operate. Data collection and reporting continue to be the core responsibilities for many companies. This task will soon need the least amount of time and focus thanks to AI. Instead, a forward-thinking finance company will concentrate on developing new value streams, safeguarding the business from the dangers of artificial intelligence, and enjoying the benefits of data-driven finance.