Through its partnership with Ennuviz, Bernalillo County advanced its business transformation journey by establishing standardized process models, evaluating operational inefficiencies, and strengthening alignment between business processes and enterprise architecture.
By leveraging SAP Signavio Process Manager, Process Simulation, SAP Signavio Process Intelligence, and SAP LeanIX, Ennuviz delivered an integrated approach to process discovery, gap assessment, future-state design, and transformation planning. The engagement established a foundation for improved operational transparency, process governance, and continuous improvement across the County's procurement and financial operations.


Conclusion

Accelerating Public Sector Business Transformation with SAP Signavio and LeanIX

Bernalillo County, a public sector organization in New Mexico, USA, partnered with Ennuviz to modernize its procurement and financial operations through SAP Signavio and SAP LeanIX.
The engagement focused on establishing end-to-end process transparency, aligning business processes with enterprise architecture, and identifying operational inefficiencies across critical procurement and Invoice-to-Pay (I2P) workflows.
By combining process modeling, process simulation, gap assessment, enterprise architecture analysis, and process intelligence, Ennuviz helped Bernalillo County establish a structured foundation for process standardization, operational efficiency, and future digital transformation initiatives.


Introduction

Through its collaboration with Ennuviz, AGCO transformed its procurement and accounts payable operations by leveraging SAP Signavio Process Intelligence to gain deeper visibility into process execution, identify operational inefficiencies, and drive measurable improvements.
The initiative delivered $2.5 million in annual cost savings, a 40% improvement in productivity, and a significant reduction in late payments and invoice rework. By translating SAP ECC transactional data into actionable business insights, Ennuviz enabled AGCO to strengthen financial performance, optimize working capital, and establish a foundation for continuous process improvement.


Transforming Procure-to-Pay and Accounts Payable with SAP Signavio Process Intelligence

AGCO Corporation, a global leader in agricultural machinery and precision agriculture technology, partnered with Ennuviz to accelerate its Procure-to-Pay (P2P) and Accounts Payable (AP) transformation through SAP Signavio Process Intelligence.
Leveraging transactional data from SAP ECC, the initiative focused on gaining end-to-end process visibility, identifying operational bottlenecks, reducing invoice processing inefficiencies, and optimizing working capital performance.
Through data-driven process mining, Ennuviz helped AGCO uncover improvement opportunities across procurement and finance operations, supporting greater productivity, payment compliance, and operational efficiency.


Through its partnership with Ennuviz, Olin successfully modernized its process mining landscape by transitioning from Celonis to SAP Signavio Process Intelligence and expanding its analytical capabilities across procurement and finance operations.
By leveraging Ennuviz's proprietary Migration BOT and SAP Signavio Value Accelerators, Olin accelerated its migration, strengthened duplicate transaction detection, and enhanced operational transparency. The engagement established a foundation for continuous process improvement and future SAP S/4HANA transformation readiness.


Accelerating Process Transformation Through Celonis-to-SAP Signavio Migration

Olin Corporation, a leading global chemical manufacturer, partnered with Ennuviz to modernize its process mining landscape by migrating from Celonis to SAP Signavio Process Intelligence and implementing four SAP Signavio Value Accelerator solutions.
As part of its SAP S/4HANA transformation readiness strategy, Olin aimed to strengthen process visibility, improve financial controls, and establish a scalable foundation for continuous process optimization across procurement and finance operations.


Throughout this case study, the healthcare company successfully navigated the challenges of processing a high volume of claims and reducing errors in data processing with the adoption of innovative automation solutions. Ennuviz's expertise and advanced process mining technologies played a crucial role in guiding the company through this transformation journey. By providing valuable insights, guidance, and support, Ennuviz experts facilitated the identification of automation opportunities and the optimization of various processes. Ultimately, the collaboration with Ennuviz empowered the healthcare company to streamline operations, enhance efficiency, and significantly reduce manual effort, leading to improved overall performance and customer satisfaction in their claims processing department.

Claims Process Automation

This case study delves into the automation endeavors of a healthcare company based in America, focusing on their claims processing department. The company aimed to enhance operational efficiency and minimize errors in data processing through cutting-edge automation techniques.

The Global payment technology solutions company faced significant challenges with its time-consuming and error-prone Merchant Certification process. By conducting a Value Stream mapping exercise and implementing an Intelligent Automation solution in two phases, the company successfully streamlined its operations and enhanced efficiency in the certification process. 

Throughout this journey, Ennuviz played a pivotal role in providing advanced process mining technologies that enabled the company to identify automation opportunities and optimize its processes effectively. With Ennuviz's support, the company was able to overcome obstacles, improve operational performance, and drive greater success in its payment technology services. 

Merchant Certification Automation

An American based Global payment technology solutions company specializes in providing end-to-end services related to merchant transaction processing, prepaid card offerings, fraud protection, and electronic check acceptance. However, the Merchant Certification process, a seven-stage testing procedure, poses challenges due to its time-consuming nature, error-prone characteristics, and potential for breaching SLAs. 

Merchant Certification Automation | Banking  

Implementing an Enterprise RPA Platform transformed the FNOL Claim Intake process for the insurance company, demonstrating the power of automation in overcoming the challenges of manual, time-consuming tasks in the insurance industry. This innovative approach improved operational efficiency and accuracy and mitigated the potential for financial losses due to processing inaccuracies. Ennuviz has played a pivotal role in aiding customers facing similar challenges in the insurance sector and beyond. With a deep understanding of various industries' unique needs and complexities, Ennuviz has successfully implemented tailored automation solutions that streamline processes, enhance accuracy, and optimize costs. Through its expertise in leveraging cutting-edge technologies and RPA platforms, Ennuviz empowers businesses to overcome operational challenges, improve customer experiences, and achieve sustainable growth in an increasingly competitive landscape.

First Notice of Loss Claim Automation

The First Notice of Loss (FNOL) process represents a critical first step in the insurance claim handling procedure, marking the point where efficiency, accuracy, and customer satisfaction intersect. In the dynamic environment of the insurance industry, managing this process effectively presents a complex challenge. Companies are under constant pressure to process claims quickly and accurately, and a task made all the more difficult by fluctuating claim volumes and the intricate nature of the claims themselves. Recognizing these pressures, Ennuviz has pioneered the use of Enterprise Robotic Process Automation (RPA) to transform the FNOL Claim Intake process, setting new standards for operational efficiency and customer service in the insurance sector.

First Notice of Loss Claim Automation 

Our solution revolutionizes Healthcare Organizations' claims and service processing, emphasizing electronic forms for cost reduction, efficiency, and error minimization. Seamless API integration enhances workflow, and Machine Learning/Form-Based Extractors ensure accurate automatic classification. Whether standalone or integrated via API, the solution yields impressive outcomes, including reduced processing costs, improved overall productivity, and minimized manual data extraction and errors. This enhances operational efficiency and customer satisfaction.

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CMS Digitization for Healthcare Payor

In a North American-based healthcare company, Ennuviz implemented a custom CMS form digitization solution for providers and payors. Healthcare organizations, including providers and payors, dedicate substantial resources to processing claims, appeals, grievances, and other paperwork. The manual handling of paper-based claims and service requests involves extensive data entry processes, leading to prolonged cycle times, errors, and payment delays.

The implementation of Contact Center Intelligence has effectively addressed various challenges in ticket handling, email volumes, ticketing issues, costs, and agent attrition. By utilizing GenAI Powered tools, operations across channels have been streamlined, resulting in improvements such as increased NPS, efficient daily processing, significant agent hours saved, and enhanced productivity. This highlights the essential role of Contact Center Intelligence in improving customer satisfaction and operational efficiency with the support of Ennuviz.

Contact Center Intelligence

Ennuviz assisted the North American company's customer support department by implementing Contact Center Intelligence, which incorporates tools like GenAI Powered Email Automation, GenAI Powered Agent Assist, Chatbot, VoiceAI, and Process Mining to improve operational efficiency.

Contact Center Intelligence Solutions | Ennuviz

The implementation of Ennuviz's Material Test Report (MTR) customized accelerator has significantly enhanced the efficiency and accuracy of the MTR processing system for the oil and gas industry. By leveraging advanced technologies and an intuitive user interface, Ennuviz has effectively streamlined the digitization of MTR reports, ensuring seamless data extraction and integration across systems. These solutions have not only optimized workflow management but also improved the overall customer experience. Ennuviz's expertise and tailored accelerators have played a key role in driving operational efficiency and productivity in Material Test Report processing, highlighting their commitment to delivering innovative solutions for industry-specific challenges.

Material Test Report Automation

In the dynamic engineering department of a prominent North American oil and gas industry, the warehouse serves as a central hub for assembling materials and documentation that are crucial for end users. These end users play a vital role in overseeing material and certification tracking for essential processes like Welding, Coating, NDE Examination, and Safety.

The strategic use of IBM Process Mining effectively tackled challenges in the Put Away process. Analyzing historical data and implementing improvements reduced idle time, addressed bottlenecks, corrected storage issues, and minimized reworks. This data-driven approach not only optimized operational efficiency but also highlighted the potential for continual enhancement in warehouse processes, emphasizing the value of such solutions for sustained productivity gains.

By collaborating with Ennuviz throughout this transformative journey, the company has been able to pinpoint critical operational challenges, implement data-driven solutions, and drive sustainable enhancements across their operations. Ennuviz's expertise and tailored solutions have proven instrumental in optimizing processes, streamlining operations, and achieving tangible results, underscoring the value of their support in facilitating operational excellence.


Put Away Process Improvement

The Transportation and Warehouse management company encountered challenges in the Put away process within the warehouse, affecting operational efficiency and overall productivity. Issues such as idle time of goods, bottlenecks, delays, incorrect storage locations, and reworks due to misplacement hindered the smooth functioning of operations.

Put Away Process Improvement 

This case study underscores the transformative impact of employing IBM tools to address intricate process challenges. The integration of process modeling in IBM Blueworks and IBM Process Mining not only exposed detailed insights into inefficiencies and variations but also equipped the organization to make confident, data-driven decisions. This strategic initiative not only elevated process performance analysis but also nurtured collaboration among process teams, fostering a more efficient and cooperative operational landscape.

Order Management Optimization

This case study delves into a journey undertaken by an order management company to address issues surrounding process inefficiencies, root cause analysis, variation identification, and the importance of data-driven decision-making. The company sought to empower its order management teams and encourage collaboration to enhance operational effectiveness. The study explores the strategic measures taken, including utilizing process modeling with IBM Blueworks and integrating IBM Process Mining to extract detailed insights and analyze key performance indicators (KPIs).

This case study exemplifies the positive outcomes achieved through the implementation of solutions to address AP and P2P challenges. The utilization of process visualization and dynamic reports not only enhanced visibility into critical KPIs but also uncovered significant opportunities for improvement. This highlights the efficacy of technology in optimizing financial processes and increasing operational efficiency. 

Ennuviz's support in this endeavor was instrumental, offering advanced solutions for process visualization and dynamic reporting. Through the use of Ennuviz’s technology and certified professionals, the organization effectively accessed key metrics, identified improvement areas, and elevated overall financial and operational performance.

Procure To Pay - Accounts Payable

This case study explores a company's struggle with insufficient visibility and quantification challenges within their Accounts Payable (AP) and Procure-to-Pay (P2P) processes. Grappling with issues in controlling standard procedures and manually calculating KPIs, the organization sought transformative solutions.

This case study highlights the transformative impact of strategic solutions, notably utilizing IBM Process Mining. The implementation of an innovative e-invoicing platform, process connectors, and automation not only addressed ERP system complexities but also contributed to achieving business objectives, demonstrating the efficacy of technology in fostering operational excellence.

ERP Consolidation and Transformation

This case study explores challenges stemming from recent acquisitions, leading to multiple ERP systems and a lack of process standardization across geographies. With the goal of achieving enhanced employee productivity, optimized working capital, and cost reduction, the narrative delves into strategic solutions employed to unify operations.

The adoption of a Process Mining solution and the introduction of operational enhancements have significantly enhanced the management of leasing and Desktop-as-a-Service (DaaS) devices within customer care operations. Improvements in key performance indicators have resulted in reduced ticket resolution time, heightened customer satisfaction, and cost savings.

Ennuviz's state-of-the-art technology and team of certified developers have been instrumental in facilitating these advancements. Their expertise and forward-thinking solutions have provided the necessary insights and tools to drive operational excellence and customer-centric outcomes in the dynamic realm of IT service management.


Desktop as a Service ITSM Processes for Customer Support team

This case study delves into a company's challenges managing leasing and Desktop-as-a-Service (DaaS) devices, impacting customer care and operational efficiency. Seeking a solution, they implemented Process Mining to gain insights and transform challenges into opportunities across 40 locations.

Introduction 

Desktop as a Service Process

This case study demonstrates the company's adept handling of operational challenges through innovative credit management strategies, analyst empowerment, and thorough preparation for S/4 migration. By overcoming immediate obstacles and uncovering new avenues for efficiency and enhancement, the organization showcases the value of strategic solutions in driving process optimization and continuous improvement. Ennuviz's approach played a key role in supporting the organization's progress by offering tailored solutions and valuable insights for operational advancement.

Order to Cash - Accounts Receivable Transformation

In the ever-changing realm of business operations, the imperative for streamlined processes and heightened visibility stands paramount. This case study sheds light on the transformative odyssey of a company confronted with significant obstacles related to data collection efficiency, S/4 migration planning, and executive reporting. Recognizing the crucial need for a paradigm shift, the organization sought solutions to not only address immediate challenges but also to unearth concealed opportunities for enhancement.

The utilization of Process Mining for DMO Material Non-Compliance has effectively tackled material management challenges within the Food and Beverage industry. By streamlining processing, improving data management, and implementing proactive measures like dynamic SLA monitoring and smart sensors, issues such as SLA breaches and material rejections have been successfully resolved. Internal benchmarks have identified optimal practices, fostering continuous enhancement. 

This comprehensive approach has standardized and optimized the material creation process, offering a practical solution for the industry. Ennuviz, a leading provider of process mining solutions, has been instrumental in supporting this process. Through its advanced analytics capabilities and user-friendly platform, Ennuviz has empowered organizations to gain insights, make informed decisions, and enhance operational efficiency. Leveraging Ennuviz's technology has enabled businesses to navigate challenges, improve material management practices, and achieve notable progress in optimizing their operations.

DMO Material Non-Compliance Remediation

Efficiently handling materials across different categories in the Food and Beverage sector poses a significant challenge for business owners. Meeting Service Level Agreements (SLAs) during the material creation process proves to be a common struggle, as material rejections often trigger reworks that disrupt the smooth flow of operations.

Case Study

business process automation case study

robotic process automation case study