Once considered a distant innovation, artificial intelligence is now a powerful tool that influences how organisations run and make decisions across various sectors. From personalised product recommendations to predictive maintenance systems, AI has become embedded in many areas of daily business activity. Yet, when it comes to structured environments such as finance and corporate planning, many leaders still wonder: How can we use AI to make decisions that are smarter, faster, and more strategic?
In this blog post, we explore how AI is evolving from a theoretical concept into a valuable resource for decision-making. This guide offers useful insights for organisations at any stage, from early exploration to actively using AI-powered solutions. We will discuss why AI matters now, how it is applied to support finance functions, key steps for successful implementation, and how finance professionals are evolving alongside these technologies.
In recent years organisations have seen an explosion in data generation. Traditional methods of analysis and decision-making are no longer sufficient to keep pace with the quantity and complexity of information available. Several factors contribute to the urgent relevance of AI today:
Volume of Data: Organisations generate and collect more data than ever before. AI can process and analyse these large datasets far more efficiently than manual methods.
Speed of Decision-Making: Market conditions shift rapidly. Businesses must access real-time insights to respond effectively to changes.
Advances in Technology: The development of affordable cloud computing solutions has made AI accessible to organisations of all sizes, not just technology giants.
Heightened Expectations: Senior leadership expects finance and operational teams to offer predictive insights and strategic recommendations, rather than retrospective reporting alone.
AI enables businesses to move from simply analysing what has occurred to anticipating what could happen and planning accordingly.
AI in finance is delivering tangible benefits across core business functions, particularly within financial planning and operations. Below are several examples of its practical application:
AI in finance leverages historical data, seasonal patterns, and external variables to generate more accurate forecasts and support corporate budgeting. This approach surpasses traditional methods that often depend heavily on manual trend analysis and intuition.
Leveraging AI algorithms allows organisations to swiftly identify inconsistencies, errors, or fraudulent activities in financial data that might be overlooked during manual reviews of large datasets.
AI tools enable finance teams to model a variety of scenarios in a matter of minutes. Questions such as “What would happen if material costs rose by 10%?” or “How would a new pricing strategy affect revenue?” can be explored thoroughly, allowing leadership to make informed strategic decisions.
Optimising resource distribution is a key advantage of AI in finance. By analysing operational data, AI can propose efficient allocation strategies for capital, staffing, and inventory management.
Implementing AI into decision-making processes requires careful budget planning and consideration. Organisations should consider the following steps:
Rather than deploying AI across multiple areas simultaneously, focus initially on a single use case where AI can deliver measurable value, such as enhancing forecast accuracy or reducing month-end reporting times.
AI depends on high-quality data to function effectively. Before introducing AI tools, organisations should invest time and resources in ensuring their data is accurate, consistent, and up to date. Solutions like Mercur Business Control, which consolidate and streamline data sources, can significantly ease this process.
AI models can sometimes appear opaque. Choosing solutions that offer clear and understandable insights and maintain an audit trail for decision-making will help build trust among users.
AI should be viewed as a tool to assist human judgment, not as a replacement for it. Decision-making should continue to involve professional expertise alongside AI-driven recommendations.
AI models require ongoing refinement to remain accurate and up-to-date. Organisations must plan for iterative updates and adapt AI systems as the business environment changes.
The expectations placed upon finance teams are shifting fundamentally. Historically, finance was viewed primarily as a reporting and compliance function. Today, finance leaders are increasingly called upon to provide forward-looking insights, identify emerging risks, and contribute to strategic business planning.
AI in finance is enabling this evolution in several ways:
Automating manual, time-consuming processes such as reconciliations and report generation. Allowing finance professionals to focus on analysis, forecasting, and strategic advice.
Supporting the development of narrative skills, enabling finance teams to communicate data-driven insights clearly to broader audiences.
The adoption of AI in decision-making is not just about embracing innovation; it's about delivering concrete business value.
Organisations that successfully leverage AI can achieve:
Faster Decision Cycles: Moving from data gathering to decision-making within significantly reduced timeframes.
Greater Accuracy: Minimising human error and uncovering insights that might otherwise remain hidden.
Risk Reduction: Identifying potential problems earlier and acting proactively.
Enhanced Efficiency: Redirecting human effort towards value-added activities rather than repetitive tasks.
By embedding AI into their operations today and applying it in finance specifically, organisations position themselves to outperform their competitors and respond with agility to changing market conditions.
Artificial intelligence offers considerable promise, but the real opportunity lies in applying it thoughtfully to improve real-world decision-making processes.
Organisations that focus on targeted use cases, invest in data quality, maintain transparency, and integrate AI within existing workflows are well-placed to realise their benefits. Finance professionals who embrace AI not only enhance their strategic value but also help steer their organisations towards future success.
The future of decision-making is already here. Now is the time to make it work to your advantage.
We welcome you to our insightful webinar where we'll take a deep dive into how AI can be used as a practical tool to support decision making. It doesn't matter if your organisation is already implementing AI-solutions, or only just starting, either way our webinar will give you insights into:
Why AI, and why now?
Practical examples of how AI can support the finance function
Where do we begin? Useful tips and common pitfalls when implementing
The changing role of the finance function - with AI as a partner
The webinar will be a perfect mix of theory and real-world examples of how AI creates business value - and finishes with a quick introductory demonstration of Mercur Business Control, our market leading platform for budgeting, forecasting, planning, reporting and analysis.
Ready to bring more accuracy and efficiency to your corporate budgeting and forecasting? Explore and book a demo of Mercur’s solutions that can support smarter financial planning today!
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