In the modern-day corporate finance world, artificial intelligence (AI) represents a game-changing technological revolution which is transforming the sector. AI can enable businesses to gain new efficiencies and insights,and produce robust quantitative analyses for comparison.
ARTIFICIAL INTELLIGENCE
In the modern-day corporate finance world, artificial intelligence (AI) represents a game-changing technological revolution which is transforming the sector. AI can enable businesses to gain new efficiencies and insights,and produce robust quantitative analyses for comparison.
For example, in our foray, a Da Vinci drawing is verified, and this artwork is used as a metaphor to underpin the transformation of financial processes across businesses. For efficiency, AI-empowered methods like RPA are making boring, repetitive actions a thing of the past. That means people no longer have to touch tasks such as invoice processing, transaction categorisation and bank reconciliations in many cases.
This is a deviation from the old manualization, where they brought data into sophisticated software that only experts understood. Automation practically eliminates mistakes, resulting in potential time savings of days or more in close processes. This freedom also frees the finance team to focus their attention on more value-added work beyond accountancy. We’re not just replacing talent; we’re turning it loose, allowing specialists to use their analytical and strategic skills.
That’s why AI, beyond automation, is excellent at distilling deep insights from massive amounts of data. By learning from spending, machine learning algorithms can detect anomalies and inefficiencies in operational procedures. For example, AI can identify abnormal expenditures on the fly to flag managers to potential fraud, or help procurement departments by doing things like considering market trends or supplier behaviour. This functionality transforms finance staff from collectors of information to strategic consultants, enabling them to provide suggestions that can lead to cost savings and enhanced operational efficiency.
AI is the king in prediction; the fancy algorithms go through past and current data and help with forecasting. These projections become working models, utilised to predict cash flow, both in terms of income projections and budgeted risk analysis. It’s not just a prediction but an insight that can be acted upon, informing strategic financial decision-making.
As finance organisations invest in tech and talent, the demarcation line between classic finance skills and the need for 'hard' technical skills (like ability with AI and machine learning tools and their application to finance) will move aside
Despite these technological advancements, financial experts remain essential. Much of the data work will be handled by AI. Still, unless it’s guided by human improv wisdom based on a deep understanding of the wider business, AI outcomes will be meaningless and entirely devoid of context (in other words, they could easily be fake insights).
Financial leaders must ask the right questions. Start with clear objectives and ensure the adopted AI tools are consistent with these objectives. Carefully oversee AI-generated advice to avoid biased results and ensure compliance with legal principles. Translating AI-driven insights to actionable strategies, articulating the same effectively to stakeholders and creating an in-ground work for future planning.
As finance organisations invest in tech and talent, the demarcation line between classic finance skills and the need for 'hard' technical skills (like ability with AI and machine learning tools and their application to finance) will move aside. To get ahead, organisations need a culture of innovation that will bring their finance and data professionals closer together.
The transition from manual activities to AI-based automation and business-driven financial planning is still in its infancy, but the adoption of AI will bring Triple A benefits to finance teams as well as organisations in the long run. So much so that those who master AI, meld it with the judgment and leadership that technology cannot replicate, will certainly separate themselves in the financial sector.
The writer is a senior finance manager with expertise in building and scaling finance functions for high-growth e-commerce and digital enterprises.
