In many businesses, the need begins with a fairly mundane problem. Documents are in folders, cases are followed up in Excel, decisions are in email threads, and the status depends on who you ask. This works when volumes are small. But when more people, systems, roles, and regulations become involved, an environment is quickly created where information becomes difficult to control.
A modern document and case management system should therefore not only store files. It should hold together the entire flow from incoming information to decisions, follow-up and archiving.
What is document and case management?
Document management is about how documents are created, stored, versioned, found, shared and archived. This can include agreements, applications, decisions, protocols, customer records, attachments or internal control documents.
Case management is about the process around documents. A case often has a starting point, a responsible person, a status, a number of steps, a decision and a history. The documents are then not stand-alone files, but parts of a context.
It is precisely the connection between documents and cases that makes system support valuable. The user should not have to search for the right file, the right email thread and the right status in three different systems. All relevant information should be collected in a structured flow.
Tip!
Do you want to delve into case management separately? Read more about the functions, benefits and choice of system of case management systems .
Why aren't folders and emails enough?
Folders, emails and spreadsheets are flexible tools. The problem is that they are rarely built for traceability, access control, automation or long-term information management. As your business grows, it becomes difficult to see which version is valid, who has done what and which issues are at risk of getting stuck.
A clear sign that you need a more cohesive system is when employees spend a lot of time searching, double-entering, or following up manually. Another is when sensitive information is sent around via email instead of being managed in a system with the right protection and permissions.
IMY emphasizes that personal data should be processed according to fundamental principles such as purpose limitation, data minimization, accuracy, storage minimization, and integrity and confidentiality. This has direct implications for how documents and cases should be handled in practice.
What should a good document and case management system do?
A good document and case management system makes it clear what needs to be done, who is responsible and where the information is located. It should also provide IT with a solution that is secure, stable and manageable over time.
Common features are:
- Registration of cases with the correct case type, responsible person and status.
- Document management with versions, metadata, permissions and searchability.
- Workflows for review, decision, approval, reminders and escalation.
- Traceability through history, logs and clear decision points.
- Integrations with, for example, e-services, CRM, financial systems, e-signing, archives or BI.
- Reports and follow-up so that the business sees volumes, lead times and bottlenecks.
The features are important, but they are not the goal in themselves. The goal is to make the process simpler, safer, and more predictable.
AI makes unstructured information more useful
AI enhances the value of structured data and information, but a large portion of information in organizations is unstructured. It’s found in PDFs, emails, attachments, notes, agreements, free text fields, and scanned documents. This is often where the most important context is found, but also where traditional systems have had the most difficulty creating structure.
This is where AI can be of great benefit. Instead of the user manually reading, sorting and summarizing large amounts of documents, AI can support the work by interpreting content and suggesting structure. This does not mean that AI should make all the decisions. However, the technology can reduce manual preparatory work and help case managers make decisions faster.
For example, AI can be used to:
- Classify documents and suggest case type, category or priority.
- Extract information such as organization number, date, amount, name or contract terms.
- Summarize long documents for processing or review.
- Find discrepancies between documents, rules or previous decisions.
- Improve search through semantic search, where the user can search by meaning rather than exact words.
- Suggest next steps based on the case content and previous processes.
This makes AI particularly relevant in organizations that handle many documents in varying formats. Insurance cases, applications, contracts, HR cases, complaints and compliance processes are typical examples where the information is often rich but difficult to overview.
At the same time, AI needs to be introduced with control. IBM's Cost of a Data Breach Report highlights that rapid AI adoption without adequate security and governance can create risks to both data and trust.
Therefore, AI in document and case management should be built into a controlled system, with permissions, logging, human review and clear rules for what information the model is allowed to use.
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Traceability and information management
When documents become part of a case, the organization needs to be able to follow the entire chain. It should be possible to see when the information came in, who changed something, what basis was used and why a decision was made.
Traceability is particularly important in processes with high demands on quality, regulatory compliance or customer trust. This applies to contracts, insurance matters, contributions, membership, KYC, HR processes and regulatory processing, for example.
ISO 15489 describes “records management” as principles for creating, capturing and managing documents reliably over time. The standard emphasizes, among other things, metadata, accountability and governance of information throughout its lifecycle.
For a document and case management system, this means that the system should be designed for more than just today's processing. It also needs to support future searching, follow-up, archiving and possible culling.
A document and case management system rarely works best in isolation. It needs to interact with the rest of the system landscape. This is where many standard systems have difficulty reaching the end. Not because they are bad, but because each organization has its own combination of processes, rules, data sources and division of responsibilities.
Standard system or customized solution?
A ready-made standard system may be the right choice when the process is common and the organization can adapt to the system's way of working. It can provide a short start-up distance and lower initial complexity.
A customized solution becomes more relevant when the process is specific, when integrations are numerous, or when the way of working is an important part of the efficiency of the business. This is especially true when document and case management are to be connected with automation, AI support, rule-based flows, and existing business systems. It may also involve replacing one or more systems.
Multisoft develops customized business systems with Softadmin®, a proprietary low-code platform for administrative processes where ready-made standard systems are not enough. The work normally begins with requirements gathering or process mapping together with you and leads to a requirements specification that forms the basis for initial implementation and continued further development.
How to set the right system requirements
A good requirements statement doesn't start with a feature list. It starts with the process. What issues are there? What documents are included? What decisions are made? What roles are involved? Where does waiting time, duplication or risk arise?
When the process is clear, it also becomes easier to set requirements for the system. This makes it possible to distinguish between functions that must be available from the start and functions that can be introduced later.
Some key questions are:
- What case types should the system support?
- What documents and metadata are needed for each case type?
- Which steps should be automated and which require human judgment?
- What permissions are needed for different roles?
- Which systems does the solution need to be integrated with?
- How should AI be used without compromising security and control?
- How should information be archived, sorted and followed up?
It is also important to think ahead. Document and case management often changes as the business discovers new opportunities. Therefore, the system should be built for further development, not just for today's process.
The greatest impact occurs when document and case management is not seen as a separate administrative layer, but as part of business development. The system can then reduce manual work, provide better decision-making support and create higher quality throughout the process.
