Process Management News Round-Up: March 2025 Edition

Welcome to the March 2025 edition of the Noreja News Roundup. In this month’s blog, we spotlight pivotal shifts shaping the future of Business Process Management (BPM). From the integration of AI and blockchain in auditing practices to the growing interdependence between AI and process intelligence, and Oracle’s unveiling of its Agentic AI Studio, we explore how technology is reshaping governance, automation, and operational strategy. These updates are curated to inform BPM professionals, ERP leaders, and decision-makers navigating an increasingly intelligent and automated enterprise landscape.

Auditing in the Age of AI and Blockchain: A New Standard for Risk, Accuracy, and Governance

Auditing, once seen as a backward-looking function, is undergoing a profound reinvention. Leading firms like EY are investing heavily—over $1 billion—in integrating advanced technologies into their audit frameworks. Tools powered by AI and blockchain are not only automating mundane tasks like transaction matching and document analysis but also unlocking capabilities such as predictive insights and real-time risk assessment.

As Paul Goodhew of EY explains, platforms like Canvas AI now help auditors dynamically adjust risk strategies using external data. Meanwhile, blockchain, often viewed as disruptive, is now indispensable for auditing digital assets. These shifts are not just technical—they’re cultural. Clients expect precision and adaptability, while Gen Z auditors demand digital fluency and innovation-ready environments.

The transition isn’t without risk. Technologies bring with them complexities around explainability, cybersecurity, and regulatory compliance. EY’s Assurance AI Framework stands out as a model response, offering auditors structured guidance for navigating ethical and operational risks while meeting requirements like the EU AI Act. The framework reflects a broader industry movement: integrating governance and innovation to build enduring trust.

AI and Process Intelligence: A Strategic Alliance for Operational Efficiency

AI’s impact in business processes is no longer speculative—it’s operational. Yet, its value hinges on something less glamorous: process intelligence. According to a recent study, 89% of business leaders agree that AI without deep process understanding risks falling short of expectations. That insight is now shaping enterprise strategies.

From ERP leaders to operations teams, organizations are recognizing that AI needs context to deliver results. That’s why 81% of enterprises plan to use AI for process improvement in the near term. However, leaders remain wary—58% cite inefficient processes as a barrier to realizing AI’s full potential.

For BPM professionals, the message is clear: pairing AI with detailed process mining and analysis can generate a high-resolution picture of workflows, identify bottlenecks, and ensure that automation aligns with strategic goals. The fusion of these disciplines is setting a new standard for enterprise agility and responsiveness.

Oracle’s Agentic AI Studio: Laying the Foundation for Future-Ready Automation

Oracle’s launch of its Agentic AI Studio signals a significant step toward the future of intelligent process automation. Designed to streamline and personalize business workflows, the platform embodies a shift from static automation to dynamic, goal-driven execution—what Oracle terms “agentic AI.”

This new paradigm involves autonomous agents capable of understanding high-level objectives and orchestrating complex tasks across systems. While the concept is compelling, readiness remains a challenge. Many leaders admit they lack the infrastructure and skillsets needed to deploy such advanced automation today.

That said, Oracle’s direction is an important bellwether. By integrating AI into the fabric of enterprise platforms, vendors are giving organizations a path to evolve toward intelligent automation. As agentic systems mature, BPM professionals will need to evaluate how these tools align with their business models and governance strategies.

Conclusion: The Future of BPM Is Collaborative, Context-Aware, and AI-Driven

The Business Process Management landscape in 2025 is a dynamic intersection of innovation, compliance, and strategic transformation. Auditors are evolving into risk-aware technologists. Operations leaders are embedding intelligence into every process. Technology vendors are pushing the boundaries of what automation can achieve.

For organizations navigating this terrain, the challenge is not just to adopt new tools, but to integrate them meaningfully—balancing opportunity with responsibility. The most successful BPM strategies will be those that foster collaboration between technology and human judgment, guided by governance frameworks and informed by deep process understanding.