In recent years, the public sector has faced increasing scrutiny over spending practices and operational inefficiencies. The need for transparency and accountability has never been more pressing, especially as governments grapple with tightening budgets and rising demands for services. In this context, Process Intelligence (PI) has emerged as a transformative technology, enabling public agencies to gain unprecedented insights into their operations. By leveraging real-time data analytics and artificial intelligence, PI is reshaping how governments manage resources, make decisions, and deliver services.
One of the most notable examples of this transformation can be seen in Oklahoma, which became the first U.S. state to implement PI technology for procurement oversight. In April 2023, a legislative report revealed that Oklahoma agencies had spent $3 billion without proper oversight, highlighting significant blind spots in financial management. Janet Morrow, the Director of Oklahoma’s Risk, Assessment and Compliance Division, recognized the urgent need for a solution. She spearheaded the initiative to track thousands of monthly transactions across dozens of disconnected systems, ultimately leading to the adoption of Celonis, a market leader in process intelligence.
The impact of this implementation was immediate and profound. Within just 60 days, Celonis reviewed an astonishing $29.4 billion worth of purchase order lines. The platform identified over $10 million in inappropriate spending and flagged $8.48 billion in statutory exempt purchases. This level of scrutiny allowed the oversight team to replace multi-year audit cycles with real-time monitoring, significantly enhancing accountability. Moreover, the efficiency gains were remarkable; the oversight team was able to reduce its staff from 13 to just 5 members while dramatically increasing effectiveness.
Morrow explained that the real-time AI analysis provided key insights into spending patterns and streamlined contract utilization. For instance, the system revealed that certain agencies were purchasing from vendors at prices 45% lower than the statewide contract, prompting necessary renegotiations. The introduction of Celonis’s Copilot feature, which utilizes conversational AI, further empowered executives by allowing them to ask questions in plain language and receive answers within seconds rather than weeks. This capability has not only improved decision-making but also fostered a culture of accountability and responsiveness within the state government.
Oklahoma’s pioneering success with PI technology is part of a broader global movement towards using advanced analytics to drive public and social progress. At the recent Celosphere conference, attended by over 3,000 leaders from various sectors, the potential of combining AI with process intelligence was a central theme. The vision articulated at the conference emphasized that this combination could help governments deliver vital services more cost-effectively while improving decision-making and policy formulation.
The implications of this movement extend beyond procurement oversight. For example, in Texas, a social research non-profit called Evident Change utilized PI to analyze 400,000 data points from juvenile justice and public health systems. Erin Espinosa, a former probation officer turned Ph.D., made a startling discovery: access to mental health treatment was a stronger predictor of incarceration for young offenders than the severity of the offense itself. Despite presenting this finding to courts and legislatures, initial reactions were skeptical.
Frustrated by the lack of belief in her findings, Espinosa partnered with Monica Chiarini Tremblay, a professor at William & Mary College. Together, they employed Celonis process intelligence to demonstrate a clear, quantitative causation between a fragmented mental health system and negative outcomes for youth. Their analysis revealed that traditional interventions often exacerbated the problem, leading to increased likelihoods of undesirable out-of-home placements for juvenile offenders.
The significance of their work has garnered attention, culminating in plans for a larger pilot implementation in 2026 that will integrate services across social services, juvenile justice, mental health providers, and education officials. Espinosa described this initiative as a perfect intersection of business, social work, adolescent development, and community financial implications. They are now exploring how AI agent technologies could proactively identify at-risk youth and trigger coordinated responses before negative patterns become entrenched.
Meanwhile, the U.S. Department of Defense (DoD), which operates with a staggering budget exceeding $1 trillion, is also exploring the potential of process intelligence to modernize its financial systems. Historically, the DoD has faced significant challenges in achieving clean audits, with no federal cabinet agency ever passing one. As Acting Secretary of the Army, Robert M. Speer recognized the limitations of traditional accounting methods and sought innovative solutions. He hired a major accounting firm to map the service’s financial processes, but three years later, the analysis became obsolete due to rapid changes in operations.
When Speer was introduced to process intelligence, he expressed excitement about the insights it could provide. “I can see not only the data,” he remarked, “but where it’s coming from, the business process delivering it.” This newfound visibility is seen as a critical component in transforming defense logistics and compliance. Tom Steffens, the former Deputy Chief Financial Officer of Defense, echoed this sentiment, noting that there is a missing piece to the puzzle that PI could help address.
The stakes are incredibly high for the DoD, especially as it prepares for fiscal year 2026, when it will receive more than a trillion dollars in funding. The integration of process intelligence could enable modeling and scenario planning that supports battlefield decisions with data-driven confidence, rather than relying on outdated information. The urgency of modernizing and optimizing complex government systems has gained momentum, particularly in light of fast-changing geopolitical landscapes and the demands of modern warfare.
Efforts to enhance government operations through technology have received a significant boost with Celonis’s recent FedRAMP authorization, which allows for secure federal cloud services. Partnering with Knox Systems, Celonis aims to position its technology as the backbone of compliance for the next generation of government Software as a Service (SaaS). This authorization is crucial for ensuring that sensitive government data is handled securely while leveraging the power of process intelligence.
The potential applications of process intelligence extend far beyond procurement and juvenile justice. Early adopters in the public sector are demonstrating what is possible when organizations harness the power of data to drive better outcomes. From climate response initiatives to education reform and emergency services, the ability to identify inefficiencies and optimize resource allocation is paramount.
In the UK, for instance, the University Hospitals Coventry and Warwickshire NHS Trust has successfully deployed process intelligence to analyze outpatient cases. Director Andy Hardy utilized Celonis to uncover significant variations in care delivery across 244,000 cases. By optimizing appointment reminders from four to 14 days before visits, the trust enabled earlier cancellations and increased patient throughput, resulting in an additional 1,800 patients seen weekly. This strategic adjustment led to a remarkable reduction of 5,300 patients on the waiting list within just eight weeks.
Hardy emphasized the importance of making data understandable to clinicians, stating, “Data understandable to clinicians is as important as scalpels.” This perspective underscores the necessity of bridging the gap between data analytics and practical application in healthcare settings. The successful implementation of process intelligence in such contexts illustrates the potential for technology to enhance patient care and operational efficiency.
However, the journey toward successful implementation of process intelligence is not without its challenges. Leaders in the public sector emphasize that technology alone cannot drive change; cultural transformation, training, and long-term commitment are essential components of success. For example, when Oklahoma reduced its oversight team from 13 to 5, resistance emerged among staff. Morrow’s team recognized the importance of investing in training and change management to facilitate a smooth transition.
Continuous operational improvement must become ingrained in the organizational culture. Aubrey Vaughan, Vice President of Strategy for Public Sector at Celonis, articulated this sentiment, stating, “You need to have a culture that wants to build better processes, better systems, more efficient systems.” The tools and technologies are available, but the will to change and the courage to confront existing systems are critical for realizing the full potential of process intelligence.
As governments worldwide continue to navigate complex challenges, the integration of process intelligence offers a promising path forward. By embracing data-driven decision-making and fostering a culture of accountability, public agencies can enhance their ability to serve citizens effectively. The examples from Oklahoma, Texas, the U.S. Department of Defense, and the UK illustrate the transformative power of process intelligence in driving efficiency, transparency, and better outcomes for communities.
In conclusion, the adoption of process intelligence represents a significant shift in how public sector organizations operate. By leveraging advanced analytics and AI, governments can gain deeper insights into their processes, identify inefficiencies, and make informed decisions that ultimately benefit society. As the movement toward process intelligence continues to gain momentum, it is imperative for leaders to prioritize cultural change and invest in the necessary training and resources to ensure successful implementation. The future of public sector innovation lies in the ability to harness the power of data and technology to create a more accountable, efficient, and responsive government.