Systems | Development | Analytics | API | Testing

The buying journey is about to fundamentally change. Are you ready? Let’s start by setting up an example.

Finance professionals aren’t afraid of AI taking their jobs, they’re afraid of being left behind while keeping them. The real anxiety in today’s finance teams isn’t automation, but irrelevance: the fear that the profession is evolving faster than their skills. This sentiment is increasingly common across organizations that acknowledge AI’s rising influence but haven’t yet aligned their training, expectations, or workflows with the new reality.

Finance teams are smart, but not infallible. Even the most talented and dedicated finance professionals, like the ones on your team, are bound to make a mistake from time to time. But some mistakes are more costly than others. Have you ever been in the middle of a presentation and realized that you were talking about the wrong data? Or have you had an executive ask for data that you simply couldn’t find? With the right tools and automation, you can avoid these embarrassing moments.

As 2025 comes to a close, now is the perfect time to reflect on the past year and look ahead to what’s next for SAP. There’s no denying that the past year has been rocked by market uncertainty, new tariffs impacting shipments to the United States, and rapid changes to finance technology. Not only has this forced SAP finance and operations teams to quickly change course, but it also muddied the view of the future. How can SAP finance teams prepare for the year ahead?

Your connectivity decisions have long-term consequences. They affect development velocity, cost structure, and time-to-market for years. When evaluating ODBC and JDBC connectivity options, technical leaders face pressure to deliver quickly while managing constrained resources and demonstrating ROI. Building connectors appears cost-effective when evaluating initial development costs alone.

In an era of economic uncertainty and rapid digital transformation, finance and accounting professionals face a paradox: their data has never been more abundant, yet access to it has never been more challenging. Kevin Gibson, CPA and Principal Solutions Engineer at insightsoftware, recently sat down with Scott Taylor on an episode of the Don’t Panic!

Many organizations try to implement driver based forecasting but struggle to deliver accurate or timely forecasts. This happens not because the method is flawed, but because the underlying systems, data structure, and planning models cannot support continuous updates or cross-functional alignment. Teams often rely on spreadsheets, manual drivers, and disconnected EPM tools that make it difficult to apply consistent logic across departments.

Are you tired of exporting data from your ERP, reformatting it in Excel, then discovering that you need to start over because someone entered a last-minute transaction? For finance teams everywhere, this frustrating cycle eats up hours that could be spent on higher-value work. Manual report preparation, week after week and month after month, is draining. By the time you’ve pulled data from multiple sources and made it presentable, it’s already outdated.

If you manage SAP data, you recognize this pattern: Business users need to update records daily (pricing changes, purchase orders, customer information), but they lack SAP expertise. And IT teams are overwhelmed with data entry requests. If you stick with manual processes, you face errors and delays. You need an SAP automation tool that meets you where you are without a huge learning curve.

Most finance leaders are curious about AI—but hesitant to adopt it. The concern makes sense: what happens if automated systems pull the wrong data or miss critical details? Yet finance teams need some help. Teams are stretched thin. Reporting cycles are taking too long. When they’re relying on manual processes, they can’t keep pace with growth. Sound familiar? On a recent episode of the podcast “Don’t Panic!