Selecting an electronic document management (EDM) system is an architectural decision that impacts operational efficiency, regulatory compliance, and an organization’s adaptability. Research presented on inbase.com.ua indicates that software IT projects, on average, exceed their budget by 45% and deliver 56% less expected value. This risk can be minimized by focusing on the right questions during vendor system demonstrations.
Choosing an EDM system: why mistakes are costly
Errors during the EDM system selection phase lead not only to financial losses but also to reduced productivity, legal risks, and staff demotivation. An inadequate system may not meet legal requirements, have slow document processing speeds, or be difficult to integrate with other corporate systems. This creates bottlenecks that hinder digitalization and impede effective data management.
In practice, this year and in the coming ones, EDM systems must not only automate routine operations but also support cognitive work. According to Microsoft’s ‘2026 Work Trend Index Annual Report,’ in a privacy-preserving analysis of over 100,000 Microsoft 365 Copilot chats, 49% of conversations supported cognitive work: analysis, decision-making, evaluation, and creative thinking. This means a modern EDM system should be more than just a document repository; it should be a tool to support decision-making.
Common mistake: complete legacy system replacement instead of phased migration
One of the most frequent errors is the aspiration for a complete, simultaneous replacement of an existing legacy system. This approach often results in large-scale projects that exceed budgets and timelines, creating significant operational risk. Instead, a strategy of phased migration and integration via APIs should be employed.
Modern systems, such as Megapolis.DocNet (an EDM system from InBase) or Scriptum.DMS (a document management system from InBase), are designed with deep integration capabilities in mind. They offer open APIs that allow for the gradual addition of new modules and the integration of the EDM with existing ERP, CRM, HR systems, and government services. This approach preserves investments in existing infrastructure, minimizes operational disruptions, and ensures a smooth transition. It also allows for flexible adaptation to changes in requirements and technologies, which is particularly crucial in the rapidly evolving landscape of AI and cybersecurity.
Key questions for vendors: a checklist for management, IT, and administration
To avoid common pitfalls, thorough preparation for the EDM system demonstration is essential. The checklist below will help focus on the most critical aspects.
Checklist: Questions for the EDM system vendor during demo
| Category | Key Question | Why it matters |
|---|---|---|
| Functionality and Flexibility | Does the system support flexible configuration of approval workflows without programming? Are there capabilities for process automation using BPMN (Business Process Model and Notation)/CMMN/DMN? | Verifies the system’s ability to adapt to the client’s unique business processes without involving developers for every change. |
| Integration | What APIs are available for integration with other systems (ERP, CRM, government services)? Is there a ready-made connector for the ‘Electronic Court’ system? | Determines if the EDM can become part of a unified information space, rather than an isolated ‘island.’ |
| Security and Compliance | How is data protection ensured? Does the system comply with the requirements of Law of Ukraine No. 2155-VIII on electronic identification and trust services? Does it support AI risk management standards (NIST AI RMF)? | Guarantees the legal validity of documents and protection against cyber threats, especially when using AI components. |
| AI and Automation | What built-in AI functions are available (IDP (Intelligent Document Processing), classification, intelligent search)? How does the system support users’ cognitive work? | Assesses the system’s capability not just to store documents but also to assist in their analysis and decision-making. |
| Migration and Support | What tools and methods for data migration from legacy systems does the vendor offer? What level of technical support and SLA is provided? | Reduces the risk of data loss during transition and ensures stable system operation post-implementation. |
| Scalability and Cost | How does the system scale with increasing document volumes and user numbers? What is the pricing model (licenses, subscription, implementation costs)? | Helps plan long-term expenses and ensures the system can grow with the organization. |
Particular attention should be paid to compliance with legal requirements. The Law of Ukraine ‘On Electronic Identification and Electronic Trust Services’ (No. 2155-VIII) is the fundamental normative source for qualified electronic signatures and electronic trust services in Ukraine, as stated on zakon.rada.gov.ua. The EDM system must ensure the legal validity of electronic documents and signatures.
In the context of AI, risk management becomes significant. The ‘Artificial Intelligence Risk Management Framework (AI RMF 1.0)’ from NIST structures AI risk management around the functions Govern, Map, Measure, and Manage. This implies that an EDM with AI functions should have mechanisms to assess and mitigate risks related to data bias, confidentiality, and security.
Architectural example: digitalization of document flow in a central executive authority
Let’s consider a typical scenario for implementing an EDM system in a central executive authority. The goal is not only to automate internal document flow but also to integrate with state electronic services.
In practice, this looks like this: a core EDM system, for example, Megapolis.DocNet, is deployed on-premises or in a secure cloud environment. A specialized connector is used to integrate with the ‘Electronic Court’ subsystem, ensuring the exchange of legally significant documents through the electronic cabinet. The ‘Electronic Court’ subsystem operates via the electronic cabinet and uses electronic identification and signatures for legally significant actions, as indicated on id.court.gov.ua.
Additionally, the system integrates with the ‘Diia’ portal for data verification and the exchange of certain document types requiring citizens’ electronic identification. For internal processes, such as handling incoming correspondence, AI tools (e.g., IDP for text recognition and document classification) are employed, allowing for automatic routing of documents to the relevant departments. This not only speeds up processing but also reduces the risk of human errors. Access control and data protection comply with CISA Cross-Sector Cybersecurity Performance Goals, which outline basic cybersecurity practices for critical infrastructure with known value for risk reduction.
Practical results: how to measure EDM implementation success
The success of an EDM implementation is measured not just by the system launch but by achieving specific business outcomes. Success criteria should be clear and measurable:
- Reduced document processing time: shortening the average time for internal document approval.
- Decreased number of paper documents: an indicator of the transition to paperless document flow.
- Improved regulatory compliance: absence of fines or remarks from regulatory bodies regarding document handling.
- Enhanced information access: speed of search and retrieval of necessary documents by users.
- Lower operational costs: savings on printing, storage, and logistics of paper documents.
- Increased user satisfaction: assessment of the convenience and effectiveness of working with the new system.
Choosing an EDM system is an investment that requires careful planning and a strategic approach. Asking the right questions during the demonstration phase not only helps select a functional system but also ensures its successful implementation and long-term value for the organization.