The fastest way to find information within your organization is through a centralized, well-structured internal knowledge base that is searchable and kept up to date. Without such a system, employees waste valuable time every day searching through emails, scattered documents, and asking colleagues. In this article, we answer the most frequently asked questions about knowledge management in companies, ranging from the causes of information loss to the role of AI in quickly finding information.
Why does it take so long to find internal information?
It takes employees so long to find information because knowledge within organizations is scattered across dozens of systems, folders, email inboxes, and individuals. There is no central location where everything comes together, so employees have to search again and again, ask questions, or wait for a colleague who knows the answer.
This problem is more serious than it seems. When information isn’t centrally available, a number of recurring bottlenecks arise:
- Employees ask the same questions over and over again to colleagues, who perceive this as interruptions
- Knowledge is locked away in the minds of a few key individuals, which creates vulnerability in the event of their absence or departure
- Documents are stored in different locations, sometimes in multiple versions that differ from one another
- New employees take weeks to become productive because onboarding information isn’t available in a structured format
As a result, a significant portion of the workday is spent searching instead of working. This is not only frustrating for employees, but it also hinders the quality of customer interactions and internal collaboration.
What is an internal knowledge base, and how does it work?
An internal knowledge base is a centralized digital system in which an organization stores its knowledge, procedures, answers, and work agreements in a structured way and makes them searchable for employees. It works like an internal Wikipedia: employees search for a term or question and are immediately shown the correct answer or document.
A good knowledge base has several characteristics that make it effective:
- Searchability: Employees can search by keyword, department, or type of question
- Up-to-date content: Articles are updated regularly to prevent outdated information from causing confusion
- Easy management: Adding or updating information requires little time or technical knowledge
- Integration with other tools: The knowledge base is connected to the systems employees already use, such as their phone system or contact center platform
For teams that interact with customers on a daily basis, a customer service knowledge base is especially valuable. Employees don’t have to switch between systems to find the right answer; instead, they can look it up right away while they’re on the phone with a customer.
What tools help employees find information more quickly?
The most effective tools for quickly finding information are internal knowledge bases, smart search platforms, and integrated contact center solutions. Which tool is best suited depends on the size of the organization, the types of questions employees ask, and how work processes are structured.
Popular categories of tools include:
- Knowledge base software: platforms specifically designed for storing and searching internal knowledge, with version control and a permissions structure
- Intranet and wiki tools: suitable for broader knowledge sharing within the organization, but less optimized for quick lookups
- Integrated contact center platforms: systems where the knowledge base is directly accessible next to the agent’s call screen
- AI-powered search tools: intelligent systems that not only search by keyword but also understand the intent behind a query and display the most relevant answer
The most important criterion when choosing a tool is adoption. The best knowledge base is the one that employees actually use. That means the tool must be intuitive, require few clicks, and be available the moment an employee needs the information.
How do you set up an effective knowledge base within your organization?
You can set up an effective knowledge base by starting with the most frequently asked questions, choosing a clear structure, and assigning ownership to dedicated editors in each department. Without structure and management, a knowledge base quickly becomes a digital jumble that employees no longer trust.
Follow these steps to create a solid setup:
- Compile a list of the most frequently asked questions: ask team leaders and employees which questions come up most often, and start there
- Choose a logical category structure: group articles by department, topic, or question type so that navigation is intuitive
- Appoint editors for each department: they are responsible for keeping the content in their area up to date
- Schedule regular review times: determine for each article how often the content should be checked for up-to-date information
- Train employees at launch: show them how the knowledge base works and actively encourage its use
- Measure usage and continuously improve: identify which articles are frequently searched for but not found, and fill those gaps
Knowledge sharing within an organization only works if it becomes a habit, not a one-time project. Therefore, make sure that maintaining the knowledge base is part of regular work processes.
How can AI help with finding information within an organization?
AI helps employees find information faster by not only searching for keywords, but also by understanding the intent behind a question and immediately providing the most relevant answer. Whereas a traditional search function relies on exact wording, an AI-powered search assistant also understands synonyms, context, and related information.
Specific applications of AI in knowledge management include:
- Smart search features: The AI not only displays documents that match the search query, but also suggests related articles
- Virtual assistants for employees: an internal AI assistant that answers questions in plain language based on the knowledge base
- Automatic content recommendations: The AI identifies when an article is outdated or when there is a knowledge gap based on search queries that returned no results
- Integration with customer contact processes: AI recognizes the reason for a customer contact and automatically displays the relevant information to the employee before they even search for it
Modern AI solutions go beyond simply answering questions. So-called Agentic AI assistants take the initiative on their own: they identify when certain information is missing, suggest updating an article, or proactively alert an employee to relevant information. This goes a step further than traditional automation, in which a system merely responds to instructions.
How do you measure whether employees can find information quickly enough?
You can measure whether employees can find information quickly enough by looking at their search behavior in the knowledge base, response times during customer interactions, and the number of questions employees ask their colleagues instead of looking them up themselves. Without tracking these metrics, you won’t know whether your knowledge management is actually improving.
Useful indicators include:
- Average search time: how long it takes an employee to find an answer after performing a search
- Searches with no results: Searches that yield no results indicate knowledge gaps that need to be filled
- Usage per article: Articles that are never viewed may be difficult to find or may not be worded in a relevant way
- Average resolution time in customer interactions: when employees find information faster, the time they need to help a customer also decreases
- Employee feedback: regularly ask employees whether they find the knowledge base useful and what they feel is missing
By reviewing these figures periodically, you’ll gain insight into where the knowledge base is performing well and where there’s still room for improvement. Knowledge sharing within an organization isn’t a one-time investment, but an ongoing process of improvement.
How Pegamento Helps You Find Information Quickly Within Your Organization
At Pegamento, we understand that employees don’t have time to search for information when a customer is on the line or a colleague is waiting for a response. That’s why we offer integrated solutions that directly connect knowledge management to the systems employees already use, without costly implementation processes or complex vendor structures. Everything under one roof, from the knowledge base to the contact center platform.
What we specifically offer:
- An integrated knowledge base that is immediately available within the agent’s contact center platform
- AI-powered search functionality that understands the intent behind a question and immediately displays the correct answer
- Agentic AI assistants that not only respond to questions but also proactively offer information and identify knowledge gaps
- Integration with existing systems so that information from multiple sources can be searched in one place
- Fully managed contact center technology with a single point of contact for support, management, and ongoing development
- Custom solutions built with standard building blocks, so you can get started quickly without paying for unnecessary complexity
Would you like to know how your organization can give employees faster access to the right information? Contact us, and we’d be happy to work with you to explore the possibilities.
Frequently Asked Questions
How long does it take, on average, for a knowledge base to become operational?
An initial, functional version of an internal knowledge base can go live within two to four weeks, provided you start with a limited set of frequently asked questions. You don’t have to wait until the knowledge base is ‘complete’—a phased approach where you add content step by step works better in practice than trying to set everything up all at once. The most important thing is for employees to start using it early on, so you can quickly identify what’s still missing.
What are the most common mistakes made when setting up a knowledge base?
The most common mistake is setting up a knowledge base as a one-time project without clear ownership afterward, causing the content to quickly become outdated and employees to lose trust in the system. A second common mistake is copying existing documents without rewriting them into a readable, searchable format. To prevent this, always designate editors for each department and establish regular review cycles.
How do you ensure that employees actually use the knowledge base?
Adoption starts with accessibility: the knowledge base must be available whenever and wherever employees need the information, preferably integrated into the tools they already use every day. In addition, it helps to provide active training at launch and to deploy team leaders as ambassadors. Employees who notice for themselves that they can find answers more quickly are the best advocates for consistent use.
Is an internal knowledge base also suitable for small organizations?
Yes, a knowledge base is valuable even for smaller organizations, precisely because knowledge in small teams is often highly concentrated among a handful of people. If one of those key individuals is absent or leaves, the knowledge risk is high. A simple, well-structured knowledge base—even with just twenty articles—can already eliminate a large portion of the time spent searching for information each day and makes onboarding new employees significantly smoother.
How do you handle confidential or sensitive information in a knowledge base?
A good knowledge base offers a permissions structure that allows you to set access rights on a per-article or per-category basis. This way, you can restrict access to HR-related procedures, financial guidelines, or client-specific information for employees who don’t need it. It’s wise to establish a classification policy right from the start when setting up the knowledge base, so that editors know what type of content should be public, internal to a department, or restricted.
What is the difference between a knowledge base and a regular intranet?
An intranet is broadly designed for general communication, news, and collaboration within an organization, while a knowledge base is specifically designed for quickly finding answers, procedures, and work instructions. Intranets are less optimized for search speed and structure at the article level, and often lack features such as version control, review cycles, and integration with contact center platforms. For teams that need information quickly on a daily basis, a dedicated knowledge base clearly offers more value.
Can a knowledge base also be linked to external customer contact channels such as chat or email?
Yes, modern knowledge bases can be integrated with external channels such as live chat, email, and even self-service portals for customers. This means that the same information an agent looks up internally can also be used to automatically provide customers with an answer via a chatbot or FAQ page. This ensures consistent responses across all channels and reduces the workload on the contact center team.
