For executives assessing how AI is reshaping ERP and finance, the article highlights three core shifts:
Today’s successful finance leaders are tapping into the power of artificial intelligence (AI) to transform their operations. According to an Amazon Web Services study, AI is already becoming integral to business, with 93% of organizations expecting to deploy AI within the next five years. There’s no question: Now is the time for finance leaders to embrace AI. Platforms like Workday are leading that charge in putting AI to practical use.
Workday’s AI capabilities are like a secret weapon of finance success — and an underused one at that. Here’s more on the current state of AI in Workday and how it’s changing the way business gets done, how it moves teams from AI fear to AI results and how AI built into enterprise resource planning (ERP) systems actually makes AI adoption easier.
Despite the buzz surrounding how companies should be using AI, many organizations are already using it in practical ways inside their business systems. Enterprise applications like Workday have embedded AI into their applications so teams can automate repetitive tasks, analyze large volumes of data and make better decisions faster.
Rather than existing as a separate tool, AI now sits directly inside the software employees use every day. This allows organizations to easily reduce manual effort, surface insights from operational data and streamline processes across finance, HR and operations.
Built-in AI changes the game, because it means teams don’t have to figure out how to deploy it. It’s already embedded in the systems, like Workday, that they rely on every day.
AI is increasingly built into the core architecture of modern ERP platforms. Some systems offer AI features as add-ons, but leading platforms integrate AI into the user interface and underlying functionality. That will increasingly become the case over time as AI becomes smarter and better at helping finance leaders get things done.
For example, one of the most powerful AI applications is predictive analytics. ERP systems collect vast amounts of data across finance, supply chain and operations. AI can analyze historical patterns in that data to forecast outcomes and identify trends.
You can use predictive models to forecast demand in the supply chain, improve sales projections, detect anomalies in transactions or better understand customer behavior. By embedding these insights directly into ERP workflows, AI helps you make decisions based on real-time intelligence rather than manual analysis.
Finance teams are dealing with more data than ever before. As organizations grow and transactions multiply, it becomes increasingly difficult for people to manually analyze every dataset or spreadsheet.
AI helps bridge that gap. By processing large volumes of information quickly, machine learning models can uncover patterns, surface anomalies and generate insights that would otherwise be difficult to detect.
Instead of spending time gathering and organizing data, finance teams can focus on interpreting insights and guiding strategy. In many cases, AI helps organizations turn data overload into meaningful intelligence that supports better decision-making.
When we talk about AI in Workday, we are generally referring to the integration of machine learning and automation directly within the Workday platform. These capabilities help organizations process data faster, automate routine tasks and make more informed decisions.
For example, AI can assist with analyzing contracts for revenue recognition by automatically extracting key details and identifying relevant dates or terms. It can also provide contextual guidance to users working through complex financial processes, helping employees complete tasks more efficiently.
Here are a few other examples of where AI shows up in Workday:
Organizations are using AI in Workday in several practical ways. One common example is invoice processing. Instead of entering data manually, AI can scan supplier invoices, extract key details and match them with purchase orders. This reduces manual effort and improves accuracy.
Another use case involves cash application. Payments often arrive with incomplete or inconsistent information, making it difficult to match them to invoices. AI can analyze historical patterns and available data to suggest matches or flag exceptions for review.
AI can also detect anomalies in journal entries. By learning from historical transaction patterns, the system can identify unusual activity and alert teams to potential discrepancies that may require investigation.
Adopting any new technology requires time to learn and adapt. The sooner organizations begin experimenting with AI, the sooner they can refine how it fits into their workflows.
Leaders often raise valid concerns when evaluating AI, including cost, data security and the potential impact on jobs. Like any technology, AI introduces new considerations that organizations must manage carefully. We see AI as a tool that helps you do your job better, especially as a tool that helps you leverage data as an asset.
At the same time, the broader trajectory of technology suggests that AI will become a standard part of modern business systems. The organizations that experiment early and build familiarity with these tools like Workday’s Assistant feature or AI-suggested fields often gain a head start in understanding how to apply them effectively.
The best way to start is to take the first step, even if it feels small. Starting with small pilot initiatives allows you to build confidence and develop practical experience without overhauling every process at once.
Workday has powerful AI capabilities built in, but most organizations haven’t tapped them yet. We help you change that by showing you where you can automate manual work, sharpen your decision-making and solve the operational challenges slowing you down. Explore how our Workday consultants can help you boost productivity and eliminate manual tasks across your team.
Learn more about implementing Workday or how to continue the journey to the next phase with your existing Workday platform. Reach out to our Workday experts to build your Workday roadmap and maximize your technology investment.
