Companies are replacing paper-based workflows with digital solutions. This article highlights the transformation of PIAM systems — from analog processes to efficient, secure digital platforms.
Process Innovation:In today's fast-paced technological world, companies are under increasing pressure to replace traditional paper-based workflows with integrated digital solutions. In this article, we shed light on the transformation of Physical and Identity Access Management (PIAM)-systems – better known as badge management, access control, physical access control, or card management – from analog processes to efficient, secure digital platforms.We address the central challenges of this transition, analyze the limitations of conventional methods, and present innovative solutions that can redefine process modeling and execution.
Physical and Identity Access Management (PIAM) systems are essential for managing access rights, issuing credentials, and controlling physical access in medium to large enterprises. They integrate not only with internal identity providers but also with a variety of peripheral systems – including physical access control systems (PACS), self-service kiosks, and parking management solutions.Market leaders such as HID, Oracle, and Dell have dominated this sector for years, which is currently valued at USD 1.19 billion and is projected to grow at an annual rate (CAGR) of 15.3% by 2030.The primary goal of these systems is to manage badges and tokens for each individual. However, complexity arises when these systems need to be integrated into numerous internal and external processes. This ranges from self-service applications where employees update their profiles (including badge photos) to approval workflows that require validation from both internal stakeholders and external authorities. The scope of these functionalities highlights the importance of an integrated software solution that not only digitizes but also standardizes these processes.
Despite the clear advantages of digital transformation, many organizations still rely on paper forms to collect applicant information and process badge requests manually. While the processing time for obtaining a badge may be less critical in some cases, the lack of comprehensive auditing, the inability to trace all events, and the absence of robust, role-based access management pose significant risks. The challenge, therefore, lies not solely in execution speed, but primarily in making every digital interaction secure, traceable, and compliant with internal policies and external regulations. In this article, we share our experiences where the digitization of paper-based processes within the PIAM system jeopardized the project due to the following challenges:
And how we successfully overcame them.
One of the most challenging aspects of digitizing paper-based systems is rethinking and modeling existing workflows. In many large organizations, the teams defining these digital processes often come from system administration or IT, rather than from process optimization. As a result, they tend to replicate paper-based procedures using simple block diagrams that depict step-by-step workflows – without adequately considering the intricacies of digital data management.When transitioning to a system that utilizes role-based access management and transactional databases, it quickly becomes apparent that a superficial replication of paper-based processes reaches its limits. Key questions regarding data storage, data retrieval, and interaction between different roles often remain unaddressed. The challenge is to overcome the traditional mindset and recognize that a digital process requires data normalization, efficient indexing, and a consistently well-thought-out structural design – characteristics embedded in a robust software architecture.
Frameworks like ITIL, ITSM and methodologies like RUP have long been used to standardize processes in IT environments. In software design, however, the use of advanced modeling techniques – such as the Unified Modeling Language (UML) – becomes essential. UML allows for a precise, visual representation of processes that can be clearly communicated to both technical teams and clients. The steep learning curve associated with these standards often means that clients and internal stakeholders are unfamiliar with their principles. As a result, initial process definitions are created without sufficient expertise. The outcome is a model that perpetuates paper-based workflows instead of creating an optimized digital process. Without comprehensive standards, adding critical features later often requires a major overhaul – leading to additional risks and reduced system quality.
A lack of specialized knowledge can complicate the transition. In many organizations, the team responsible for digitalization lacks a deep understanding of advanced process modeling and data design, making it difficult to identify and address potential challenges in a timely manner. However, with the right expertise, crucial details can be better captured, which not only helps avoid misunderstandings but also strengthens confidence in project execution.
Uncontrolled project scope expansion can pose a significant challenge. When features are defined without clear standards or an expert team, constant changes and additional requirements introduce risks. Development teams may begin implementation based on incomplete or changing specifications, which can lead to conflicts between requirements or overlooked features. Frequent revisions and additional meetings – often with project managers rather than the developers themselves – increase project complexity and can slow down progress. Structured scope management is therefore essential to minimize these risks and drive the project forward successfully.
After years of experience with PIAM systems and the digitalization of paper-based processes, a promising solution has emerged: the use of a Domain-Specific Language (DSL). A DSL is essentially a tailored subset of a programming language, specifically designed to describe the relevant variables, processes, and interactions within a particular domain. This approach offers several compelling advantages:
While the DSL approach addresses many challenges in digitizing paper-based processes, it's crucial to recognize its limitations. For larger-scale projects – where digital transformation extends beyond merely replicating existing processes and ventures into entirely new business areas like payments – the limited nature of the DSL could become an obstacle. From our experience, while the DSL has proven very powerful for modeling business processes, it is not universally applicable to all system functions. Automated processes such as GDPR compliance routines or email notifications for expiring certificates often fall outside the scope of the DSL. Therefore, while the DSL is an effective tool for a specific subset of process digitalization, it must be used judiciously. Its strength lies in its domain-specific focus, and incorrect application to larger or unrelated areas could inadvertently expose the project to new risks.
Our journey did not end with the introduction of the DSL, but rather continued in the spirit of continuous innovation. Last year, we launched a challenging project codenamed "GRID" (Grammar-Railed Decoding) and "Forms" – a patent-pending technology that helps IT specialists develop PIAM systems with greater ease and precision (learn more). Originally designed for crowd applications, this technology has evolved to unlock the full potential of digital process automation. By integrating the DSL into our GRID-based framework, we can now generate tailored business processes that meet an organization's specific requirements. This integration enables the use of intelligent services that automatically execute approval processes, thereby increasing operational efficiency. Unlike universal code generators or services that often struggle to grasp context, our DSL-informed services possess the necessary expertise to execute commands precisely. This synergy between domain-specific modeling and advanced automation promises a drastic improvement in the overall quality and robustness of the final digital product.
