You can make scattered information accessible to your entire team by bringing all knowledge together in one central location, organizing it in a structured way, and making it searchable. That sounds simple, but in practice, information is scattered across emails, shared folders, personal notes, and colleagues’ minds. This article answers the most frequently asked questions about knowledge management, from the root cause of the problem to the role of AI in the solution.
Why do employees have such a hard time finding information?
Employees have a hard time finding information because it has never been stored systematically. Knowledge develops organically: in an email thread, as an attachment to a chat message, or as a note in someone’s notebook. Without a deliberate structure to centralize information, knowledge is scattered across systems that don’t communicate with one another.
This problem is particularly persistent in customer service teams. Employees switch between multiple screens, work with different systems for phone calls, chat, and email, and lack a shared overview of what has already been asked or answered. As a result, the same questions are answered over and over again, customers have to repeat their stories, and specialists waste valuable time on basic questions that could have been documented long ago.
On top of that, information that is actually stored somewhere is often impossible to find. A document in a shared folder with a vague filename, a procedure known only to the team leader, an answer buried deep in an email thread: it exists technically, but is practically inaccessible. Sharing information with employees therefore requires not only storage, but also structure and searchability.
What is the difference between a knowledge base and a shared folder?
A knowledge base is a structured, searchable environment where information is actively managed, categorized, and maintained. A shared folder is simply a storage location without structure, search functionality, or management. The difference lies not in the amount of information, but in how accessible and usable that information is for the people who work with it every day.
In a shared folder, chaos grows along with the organization. Files are saved by whoever creates them, with names that only the creator understands, in folders that seemed logical at the time they were created but no longer make any sense after a reorganization. There is no version control, no ownership, and no way to tell if the information is still up to date.
A central knowledge base solves this by organizing knowledge based on usage rather than storage. Employees search by keyword or category and immediately find the right answer, the right procedure, or the right contact person. Ownership is assigned, outdated information is flagged, and new employees can get to work independently without first having to ask three colleagues for help.
How do you ensure that information remains up-to-date in a knowledge base?
Information stays up to date in a knowledge base by assigning ownership, setting revision dates, and involving employees in reporting outdated content. A knowledge base without a management process becomes outdated just as quickly as a shared folder. The difference is that a good knowledge base gives you the tools to identify and address outdated information.
Specifically, this means the following:
- Ownership per article or category: designate who is responsible for keeping which information up to date.
- Automatic revision reminders: Set it up so that articles are automatically submitted to the owner for review after a certain period.
- Feedback option for users: Give employees the ability to indicate that an article is incorrect or outdated.
- Usage data as an indicator: Articles that are viewed frequently but receive few ratings require attention.
Knowledge management for a team is not a one-time project but an ongoing process. The organizations that are most successful in this regard treat the knowledge base as a living document: something that grows along with the organization, not something you set up once and then forget about.
What information should be stored centrally first?
Start with the information that is most frequently requested and most often missing: frequently asked customer questions, standard procedures, escalation routes, and product information. These are the categories that employees need on a daily basis and that are currently scattered across various systems, people’s minds, and email inboxes.
A practical approach is to start by compiling a list of the ten questions customers ask most often. If the answers to those questions aren’t centralized anywhere, that’s your starting point. Then you can expand to:
- Internal procedures and work processes (such as how to log a complaint or process a callback request)
- Product specifications and services
- Escalation paths and contact persons by department
- Onboarding materials for new employees
- Changes to policies or regulations that affect customer-focused work
By starting with the most frequently used information, you’ll see results quickly and build support within the team. Employees will immediately notice that searching becomes easier, and that makes the leap to broader adoption a lot smaller.
How does AI help make scattered information accessible?
AI helps make scattered information accessible by searching through large amounts of unstructured content, summarizing it, and presenting it to the right employee at the right time. Whereas traditional search functions require exact search terms, AI understands the intent behind a query and retrieves relevant information from multiple sources simultaneously.
In a customer service setting, this means that an agent can type in a question during a conversation and immediately receive a summary of the most relevant knowledge base articles, without having to search for them themselves. AI can also identify what information is missing based on questions that don’t yield a satisfactory answer, thereby actively contributing to improving the knowledge base.
Modern AI applications go beyond simple search. They can proactively offer information based on the context of a conversation, recognize patterns in frequently asked questions, and even suggest new knowledge base articles. This not only makes customer contact information more accessible, but also smarter and better tailored to what employees and customers need at that moment.
When is a knowledge management solution the right move?
A knowledge management solution is the right step when searching for information consistently takes up time, employees keep asking colleagues the same questions, or when variations in the quality of customer interactions arise because not everyone has the same information. These are signs that the current way of sharing information is actively slowing down the team.
Other concrete signs that it’s time for a centralized approach:
- New employees take weeks to become productive because knowledge isn’t organized anywhere
- Customers receive inconsistent answers depending on who they speak with
- Specialists are too often asked to answer basic questions that could have been documented
- When an employee is sick or leaves, knowledge is lost from the organization
- Management cannot focus on quality because there is no overview of what is being communicated
You don’t have to wait until the problem becomes a major issue. It’s especially wise to set up knowledge management properly right from the start—whether your company is in a growth phase, undergoing a reorganization, or introducing new contact center technology. This prevents you from being faced with a much bigger cleanup job later on.
How Pegamento Helps Make Scattered Information Accessible
We help organizations transform scattered knowledge into a functional, searchable knowledge environment that directly supports employees in their day-to-day work. It’s not a costly process, but rather a smart combination of proven modules that integrate with your existing systems and workflows.
What we specifically offer:
- Central knowledge base for customer service teams: structured, searchable, and easy for your own team to manage
- AI-powered information access: our AI assistants help agents find the right answers in real time, even from unstructured sources
- Integration with your existing channels: phone, chat, email, and WhatsApp are brought together in a single overview, ensuring that knowledge is always available regardless of the channel
- Everything under one roof: from implementation to management and support, without having to manage multiple vendors
- ISO 27001-certified: information security is our top priority, complemented by ISO 9001 and ISO 26000 for quality and social responsibility
Would you like to know how your organization can make scattered information more accessible to the entire team? Contact us, and we’ll work with you to find the best approach for your situation.
Frequently Asked Questions
How long does it take to set up a knowledge base from scratch?
Setting up a knowledge base from scratch doesn’t have to be a months-long process. If you start with the most requested information—such as the ten most frequently asked customer questions and the most important procedures—you can have a working basic version up and running within a few weeks. The key is not to wait until everything is perfect: a knowledge base that’s 60% complete but searchable and up-to-date is already more valuable than a complete archive that no one can find.
What are the most common mistakes made when setting up a knowledge base?
The biggest mistake is treating a knowledge base as a one-time project rather than an ongoing process: information is entered, but then never managed or updated again. Another common mistake is copying the existing folder structure into the knowledge base, which digitizes the same chaos instead of solving it. Always ensure that ownership is assigned, that there is a management process in place, and that the structure is based on how employees search—not on how the information happened to be created.
How do you ensure adoption of a knowledge base within a team that’s used to asking colleagues directly?
Adoption starts with relevance: when employees realize that the knowledge base provides the right answer faster than asking a colleague, they’ll naturally switch over. Involve the team early in the process by letting them help decide which information to include first, and celebrate small successes openly. Team leaders play a crucial role here: if they consistently refer to the knowledge base instead of providing answers themselves, this embeds its use into daily workflows.
Is a knowledge base also suitable for small teams, or is it only useful for large organizations?
A knowledge base is particularly valuable for small teams, precisely because knowledge is even more concentrated among individual employees in such teams. If one person is absent or leaves, a large portion of the operational knowledge is immediately lost. For small teams, the solution doesn’t have to be complex: a clear, well-structured knowledge environment with dozens of articles is enough to break the reliance on individuals and help new colleagues become productive more quickly.
How does AI support work in practice during a customer interaction?
During a live customer interaction, an agent can type a question or keyword into the AI assistant, which then retrieves relevant knowledge base articles, procedures, or answers in real time—even if the exact wording doesn’t match what’s in the knowledge base. The AI understands the intent behind the question and presents a summary of the most relevant information, so the agent doesn’t have to search for it themselves. This shortens the call duration, increases the consistency of responses, and reduces the burden on specialists for basic questions.
What if our information is scattered across multiple systems that are difficult to integrate?
This is one of the most common challenges, but it doesn’t have to be a roadblock. A good approach is to start by manually centralizing the most critical information, separate from existing systems. At the same time, you can explore integration options: modern knowledge management solutions can often be integrated with commonly used systems such as CRM, ticketing software, or communication platforms. The goal isn’t to replace all systems, but to create a single central location where employees can turn—regardless of where the source information comes from.
How do you measure whether a knowledge base actually impacts the performance of the customer contact team?
Specific indicators include a shorter average resolution time per call, a decrease in the number of internal questions directed to specialists, a faster onboarding time for new employees, and greater consistency in customer responses. Within the knowledge base itself, usage data—such as which articles are viewed most often and how articles are rated—provides insight into what works and what’s still missing. By comparing these figures before and after implementation, you can demonstrate the impact and maintain buy-in within the team.
