To choose the right knowledge management system, first clearly define your organizational goals and user needs, and then evaluate the system based on search functionality, integrations, and scalability. For most Dutch organizations, the choice in 2026 will depend heavily on how well the system integrates with existing tools and on the complexity of the knowledge landscape. The questions below will help you make a well-informed decision, step by step.
What are the most important features of a knowledge management system?
A knowledge management system (KMS) provides features for creating, storing, organizing, searching, and sharing knowledge within an organization. The most essential features include a powerful search function, version control, access rights based on user roles, and the ability to easily update content. Without these basic features, the system quickly loses its value in day-to-day use.
In addition to the core features, there are functions that distinguish a basic solution from a system that truly contributes to operational efficiency:
- Structured categorization so that employees can quickly find the right information without having to click through dozens of folders
- Feedback mechanisms that allow users to indicate whether an article was helpful, so that outdated content is quickly identified
- Analytics tools that provide insight into which knowledge articles are accessed most frequently and where there are gaps in the knowledge base
- Role-based access to determine which information remains internal and what is shared with customers or partners
- Multilingual support, relevant for organizations with international teams or customer groups
In a customer-facing environment, integration with ticketing systems and communication channels is also a critical function. Employees who need to provide the right answer instantly during a conversation don’t have time to switch between multiple systems.
What is the difference between a knowledge base and a knowledge management system?
A knowledge base is a structured repository of information, such as FAQ pages, manuals, and product information. A knowledge management system is broader in scope: it encompasses not only storage, but also the processes, workflows, and tools needed to actively manage, maintain, and disseminate knowledge throughout the organization. The knowledge base is therefore part of a comprehensive knowledge management system.
This distinction is relevant from a practical standpoint when making a purchase. A knowledge base is sufficient if your primary goal is to provide customers or employees with access to a searchable FAQ or product documentation. If you opt for a knowledge management system, you’re investing in a platform that also supports editorial workflows, approval processes, and knowledge analysis.
For organizations with a substantial volume of customer interactions, a comprehensive knowledge management system for customer interactions is generally the better choice. The added value lies in actively managing the quality of knowledge, not just in storing it.
How do you choose a knowledge management system that fits the size of your organization?
The size of the organization plays a major role in determining which type of knowledge management system is appropriate. Smaller teams benefit from simple, quick-to-deploy solutions with minimal administrative overhead. Medium-sized and large organizations have a greater need for scalability, advanced access control, and integration capabilities with existing systems. Choose a system that grows with your organization without requiring you to migrate every few years.
Small organizations (up to 50 employees)
For smaller teams, the priority is ease of use and quick implementation. A lightweight knowledge base with a good search function and simple management options is often sufficient. Extensive workflow features add little value when there are only a handful of editors.
Medium-sized and large organizations (50+ employees)
As soon as multiple departments or teams start using the same knowledge management system, role-based access, approval workflows, and reporting capabilities become indispensable. Organizations with a customer service team of fifty or more employees also benefit from a system that is synchronized in real time with customer contact channels, ensuring that agents always work with up-to-date information. Scalability and API availability are not luxuries in this segment but basic requirements.
What integrations should a knowledge management system support?
At a minimum, a knowledge management system must integrate with the communication and CRM systems your organization uses on a daily basis. This includes integration with your contact center platform, ticketing system, intranet, and, where applicable, your customer portal. Without these integrations, information silos are created, and employees have to switch manually between systems, which compromises speed and quality.
Specific integrations to evaluate when evaluating a vendor:
- CRM integration (so that customer history and knowledge articles are available side by side)
- Ticket system (so agents can directly open and share relevant knowledge articles from within a ticket)
- Communication channels such as phone, chat, WhatsApp, and email
- Intranet or employee portal for internal knowledge sharing
- API availability for organizations that want to integrate their own systems or dashboards
Always ask a supplier about the availability of standard connectors and the cost of additional connectors. A standalone system does not solve the problem of fragmented information; it merely moves it to a new silo.
How do you evaluate the search functionality of a knowledge management system?
You evaluate the search functionality of a knowledge management system based on relevance, speed, and intelligence. A good search function returns the correct result on the first try, even if the user doesn’t use the exact search term. Systems that search only for exact keywords fall short as soon as employees or customers enter synonyms, colloquial language, or incomplete sentences.
When evaluating, please consider the following aspects:
- Fuzzy search: Does the system also return results for typos or alternative spellings?
- Semantic search: Does the system understand the intent behind a search query, not just the literal words?
- Filters and facets: Can the user quickly refine results by category, date, or department?
- Search analytics: Does the system show which search queries returned no results, so you can add content to the knowledge base in a targeted way?
Always test the search function using realistic scenarios from your own organization. Use search queries that employees or customers would actually enter, including informal phrasing and common typos.
When is an AI-driven knowledge management system the right choice?
An AI-driven knowledge management system is the right choice when your organization is dealing with a large and rapidly changing volume of knowledge, high pressure on customer service representatives, or the need to automatically suggest knowledge articles based on context. AI adds the most value when manual knowledge navigation has become a bottleneck and your search function alone is no longer sufficient.
Specific situations in which AI-driven knowledge management software is useful:
- Employees demonstrably spend too much time searching for the right information during customer conversations
- The knowledge base contains hundreds or thousands of articles that are difficult to keep track of manually
- You want knowledge articles to be automatically suggested based on the content of an ongoing conversation or ticket
- Your organization wants to expand self-service options for customers with an intelligent chatbot or virtual assistant that draws on the knowledge base
AI in knowledge management now goes beyond smart search. Modern systems utilize Agentic AI, an evolution in which the technology not only passively retrieves information but also independently establishes connections, identifies knowledge gaps, and proactively makes suggestions to editors. This is similar to the development taking place in process automation, where execution-oriented bots have evolved into self-thinking assistants that take the initiative and act independently.
How Pegamento Helps You Set Up Knowledge Management for Customer Interaction
At Pegamento, we combine years of experience in contact center technology with a practical approach to knowledge management in customer-facing environments. Our solutions aren’t expensive custom builds, but smart combinations of proven modules that get your organization up and running quickly. Everything under one roof—from implementation to management and support—without having to coordinate multiple vendors.
What we can do for you:
- A customizable knowledge base with standard building blocks that integrates with your existing contact center environment
- Integration with omnichannel communication channels so that agents have access to all relevant information through a single interface
- AI-driven search and suggestion functionality that supports agents during customer interactions
- Reporting and analysis to provide insight into knowledge gaps and knowledge base usage
- Secure implementation in compliance with ISO 27001, ISO 9001, and ISO 26000 certification
Are you curious about how a well-designed knowledge management system can specifically lighten the load on your customer service team? Contact us, and we’d be happy to work with you to determine the best approach for your organization.
Frequently Asked Questions
How long does it take, on average, to implement a knowledge management system?
Implementation time varies greatly depending on the complexity of your organization and the system you choose. A simple knowledge base for a small team can be up and running within a few weeks, while a fully integrated knowledge management system for a large customer-facing environment can easily take two to six months. Be sure to allow sufficient time for migrating existing content, setting up user roles, and testing with actual employees before the go-live.
What are the most common mistakes when selecting a knowledge management system?
The most common mistake is choosing based on feature lists rather than on day-to-day usability for the end user. Organizations regularly overestimate how many features they actually need and underestimate the importance of adoption: a system that employees find cumbersome simply won’t be used. Other common mistakes include ignoring integration capabilities with existing tools and underestimating the long-term management burden.
How do you ensure the knowledge base stays up to date after implementation?
Establish clear ownership by designating a responsible editor or team leader for each knowledge domain who periodically reviews the content. Use your system’s feedback mechanisms and search analytics to proactively identify outdated or missing articles, rather than waiting for employees or customers to complain. A fixed quarterly review cycle, combined with automatic notifications for articles that haven’t been updated in a long time, prevents the knowledge base from becoming obsolete.
Can a knowledge management system also be used for customer-focused self-service?
Yes, most modern knowledge management systems support both internal use by employees and external use by customers via a self-service portal or chatbot. It is essential to use role-based access to precisely determine which content is publicly accessible and which information remains available only internally. A well-designed self-service channel can significantly reduce the volume of incoming inquiries, provided the knowledge base is comprehensive and easily searchable.
How do you compare knowledge management systems in terms of total cost?
Look beyond the license price and include implementation costs, integration costs, management costs, and any training costs in your calculation. Ask vendors explicitly about the costs of additional connectors, extra users, and storage limits, as these items can quickly double the total investment. A cheaper system with high integration costs or a steep learning curve is often more expensive on an annual basis than a more expensive solution that integrates seamlessly with your existing infrastructure.
What KPIs do you use to measure the success of a knowledge management system?
Relevant KPIs include the average resolution time for customer interactions, the percentage of questions employees can answer without escalation, and the search score (the percentage of searches that immediately yield a useful result). Additionally, you can look at the adoption rate among employees, the number of outdated articles, and customer satisfaction scores after implementation. Track these metrics both before and after implementation to gain insight into the actual impact.
Is it wise to start with a pilot group before rolling out the system organization-wide?
Absolutely, a phased rollout via a pilot group is highly recommended, especially for medium-sized and large organizations. By starting with a specific team or department, you can test the setup, content, and workflows under realistic conditions without disrupting the entire organization. The lessons learned from the pilot—regarding ease of use, missing content, and technical bottlenecks—make the broader rollout considerably smoother and increase the likelihood of adoption.
