Pakistani businesses are entering a pivotal phase in their digital evolution. With the government committing significant investment toward artificial intelligence by 2030, the momentum is beginning to reach core business functions, including finance. What was once seen as a future capability is now becoming a practical tool for improving forecasting, budgeting, and reporting.
For medium-sized enterprises, the shift is particularly relevant. Many operate in environments defined by tight cash flows, rising input costs, and increasing competitive pressure. Traditional finance processes, often dependent on manual spreadsheets and fragmented data, can limit both speed and accuracy. AI offers a pathway to address these constraints, but its effectiveness depends on how it is introduced.
Industry practitioners note that one of the most common challenges is not access to technology, but the way organizations approach its adoption. Many attempt to layer AI onto existing processes without first addressing underlying inefficiencies.
Obaid ur Rehman, a Digital Finance Transformation Expert with experience across large-scale multinational environments, highlighted this gap. “A common mistake is trying to automate processes that are not yet structured,” he explained. “In those cases, AI can make outputs faster, but not necessarily more reliable. The foundation has to be stable first.”
He pointed to forecasting as a practical entry point for many organizations. “In my experience, AI-driven forecasting has improved accuracy by around 20 percent while reducing decision-making time by nearly 30 percent,” Obaid noted. “The key is to start with a focused use case, such as cash flow projections, where data is already available and impact is visible.”
Another area where businesses are beginning to see tangible benefits is reporting. Many finance teams still rely on manual processes that require significant time to consolidate and verify information. According to Obaid, this is where automation can deliver immediate value. “When routine reporting is automated, finance teams can shift their focus from preparing numbers to interpreting them,” he said. “Real-time dashboards that connect finance with operational data give decision-makers a clearer and more timely view of performance.”
Cost management is also emerging as a priority, particularly in an environment of sustained inflation and margin pressure. Obaid highlighted the role of structured approaches supported by technology. “Zero-based budgeting, when combined with data-driven tools, allows organizations to reassess costs more effectively,” he explained. “In several cases, this has led to recurring savings in the range of 10 to 15 percent by identifying inefficiencies that traditional methods tend to overlook.”
While these examples demonstrate the potential of AI, practitioners emphasize that successful implementation depends on more than tools alone. Data quality, process discipline, and team capability remain critical. Without reliable data, even advanced systems can produce misleading outputs, limiting their usefulness.
Encouragingly, a growing number of medium-sized enterprises in Pakistan have begun pilot initiatives, often in collaboration with local technology providers. Early outcomes suggest improvements in reporting speed, resource allocation, and decision-making responsiveness.
Looking ahead, 2026 represents a window of opportunity. Organizations that take a structured and incremental approach to AI adoption are likely to build stronger finance capabilities over time. Those that delay may find it increasingly difficult to keep pace as digital practices become more embedded across industries.
For business leaders, the path forward does not require large-scale transformation at the outset. As Obaid summarized, “Start with one process, ensure the data is reliable, and build from there. When the foundation is right, the benefits of AI become much more consistent and scalable.”
As the broader ecosystem continues to evolve, the focus is shifting from experimentation to execution. The organizations that succeed will be those that treat AI not just as a tool, but as part of a more structured approach to finance transformation. @Abu Bakar Adil Superior Consulting - pls review and use this version.