Knowledge sharing in large organizations is so difficult because knowledge is scattered across people, systems, and departments that barely communicate with one another. The larger the organization, the greater the likelihood that valuable information is locked away in the minds of individual employees, in isolated files, or in systems that aren’t interconnected. In this article, we answer the most frequently asked questions about knowledge-sharing challenges and how to address them systematically.
What are the biggest obstacles to knowledge sharing within organizations?
The biggest obstacles to knowledge sharing within organizations are a lack of time, the absence of centralized systems, cultural differences between teams, and a lack of awareness about what knowledge should be shared in the first place. Together, these factors cause information to remain at the individual level rather than becoming available organization-wide.
In practice, you see that employees view knowledge as something personal. Knowledge is power, and that mindset is difficult to change without the right culture and structure. Moreover, large organizations often don’t have a clear answer to the question: where do we actually store our knowledge? One team uses SharePoint, another uses a shared mailbox, and a third team keeps everything in an Excel file on a local drive.
Other common obstacles include:
- Lack of ownership: no one feels responsible for maintaining and making knowledge accessible
- Outdated information: knowledge documents are created but never updated, so employees no longer trust them
- Searching takes too much time: if it’s faster to call a colleague than to look something up, that’s what people do
- No reward for sharing: employees are rarely rewarded or recognized for documenting their knowledge
Why is valuable knowledge lost when employees leave?
Valuable knowledge is lost when employees leave because most of that knowledge is tacit knowledge: unspoken, undocumented knowledge that exists only in the employee’s mind. This knowledge was never documented because it was taken for granted, even though it is crucial to the organization.
Think of the employee who, after ten years, knows exactly which customers need extra attention, how a particular system actually works despite the official manual, or what exceptions exist to the standard procedure. That knowledge disappears the day he or she walks out the door.
This problem is particularly acute in large organizations with high turnover or a large number of retirements. The damage only becomes apparent when new employees make the same mistakes, customers notice that service is deteriorating, or processes that previously ran smoothly begin to stall. It is only then that knowledge-sharing issues painfully come to light.
The solution starts with systematically documenting knowledge before someone leaves, not after. That requires a culture where documentation is the norm and systems that make it easy to share and retrieve knowledge.
How do silos cause teams to work at cross-purposes?
Information silos arise when teams have their own systems, processes, and information sources that are not connected to the rest of the organization. As a result, teams solve the same problems without knowing about each other’s efforts, customers receive conflicting information, and the organization as a whole fails to learn from individual experiences.
In large organizations with a strong siloed structure, this is a systemic problem. Customer service doesn’t know what marketing has communicated. The IT department doesn’t understand what operations needs. And senior management doesn’t have the full picture because the information never comes together in one place.
This is particularly detrimental to customer service teams. If a customer calls after a previous chat, they have to repeat their story because the information isn’t shared across channels. That wastes time, frustrates the customer, and leads to higher handling costs. Silos in internal communication directly translate into a poor customer experience on the outside.
Breaking down silos requires both organizational and technological measures: shared platforms, clear agreements on information sharing, and leadership that actively encourages and rewards collaboration.
What is the difference between knowledge sharing and knowledge management?
Knowledge sharing is the active process by which employees exchange information, insights, and experiences with colleagues. Knowledge management is the broader framework within which an organization systematically collects, stores, organizes, and makes knowledge accessible. Knowledge sharing is a component of knowledge management, but knowledge management encompasses much more than just sharing information.
A useful distinction:
- Knowledge sharing is about behavior: helping a colleague, writing a process description, documenting an answer in a shared system
- Knowledge management is about systems and strategy: what knowledge do we retain, how do we keep it up to date, who is responsible, and how do we measure whether it’s working
Many organizations invest in knowledge management tools without developing a culture of knowledge sharing. The result is a nice-looking system that no one uses. Conversely, there are also organizations where employees are willing to share knowledge but lack a suitable platform to do so. Both elements are necessary for an effective approach.
A knowledge base for customer service teams is a concrete example of how knowledge management and knowledge sharing come together: employees can quickly find the right answers and contribute to keeping the content up to date.
How can technology improve knowledge sharing in large organizations?
Technology improves knowledge sharing in large organizations by making information centrally accessible, speeding up search processes, and integrating knowledge sharing into the daily workflow. The best technological solutions make it easier to find knowledge than to call a colleague, making knowledge sharing the default.
Specific technological options include:
- Centralized knowledge bases: a single location where all relevant information is stored, searchable, and always up to date
- AI-driven search functions: systems that understand what an employee is looking for and immediately display the correct answer, even if the question is phrased differently
- Integrated communication platforms: tools that connect chat, phone, and email so that context travels with the customer
- Agentic AI assistants: self-thinking systems that not only retrieve answers but also proactively provide relevant information based on the situation
It is important that technology supports—not replaces—the organization’s internal communication. A system that is too complex or poorly aligned with existing work processes will not be used. The best technology feels to employees like a logical extension of their work, not an additional task.
For customer service teams, improved knowledge sharing is immediately reflected in the quality of customer interactions: shorter resolution times, fewer transfers, and more consistent responses across all channels. See how contact center technology plays a role in this.
When is an organization ready to tackle knowledge sharing in a structured way?
An organization is ready to address knowledge sharing in a systematic way when there is support from management, a specific problem that knowledge sharing can solve is identified, and there is a willingness to invest in both systems and cultural change. Without these three elements, any knowledge management initiative will remain stuck in the pilot phase.
Signs that the time is right:
- Employees frequently complain that they can’t find information
- Customers receive inconsistent answers depending on who they speak with
- Knowledge is visibly lost when employees leave
- New employees take months to become productive
- There are multiple systems in use that do not communicate with one another
You don’t have to wait until all the conditions are perfect. A phased approach often works better than a large, organization-wide rollout. Start with the team or department where the pain is greatest, build a working solution there, and use that as proof for the rest of the organization.
How Pegamento Helps Facilitate Knowledge Sharing in Large Organizations
We understand that knowledge-sharing challenges in large organizations rarely have a single cause. Fragmented systems, information silos, and a lack of structure all play a role. That’s why we don’t offer standalone tools, but rather integrated, customized solutions built with standard building blocks that are tailored to your specific situation.
What we can do for your organization:
- Centralized knowledge bases for customer contact teams that provide agents with the right answer immediately, without having to search or transfer calls
- Omnichannel contact center solutions that integrate phone, chat, email, and WhatsApp so that information follows the customer
- Agentic AI assistants that not only retrieve answers but also take the initiative on their own—such as proactively providing relevant information based on the context of a conversation
- A single point of contact for development, implementation, management, and support, so you don’t have to juggle multiple vendors
Our approach is ISO 27001-certified (information security), supplemented by ISO 9001 and ISO 26000, so you can be sure that your knowledge management is in safe hands with us. Would you like to know what improving knowledge sharing would look like in practice for your organization? Contact us, and we’d be happy to work with you to find a solution.
Frequently Asked Questions
On average, how long does it take to successfully implement a knowledge-sharing system in a large organization?
Implementation time varies greatly from organization to organization, but expect three to six months for an initial working solution within a single team or department. An organization-wide rollout can take one to two years, depending on the complexity of existing systems and the cultural change required. A phased approach—starting with the department where the pain points are greatest—shortens the time to visible results and increases support for further rollout.
What are common mistakes when setting up a knowledge base?
The most common mistake is investing in a tool without first establishing the processes and ownership: who keeps the content up to date, who is responsible for quality control, and how will the knowledge base become part of the daily workflow? A second common mistake is trying to capture all knowledge at once, which causes the project to stall due to its sheer scope. Start small, with the most frequently used and most critical information, and build from there.
How do you motivate employees to actively contribute to knowledge sharing?
Recognition and convenience are the two strongest motivators. Make sure contributions to the knowledge base are visible and valued, for example by incorporating them into performance reviews or team evaluations. Just as important is that the system itself is user-friendly: if it takes more effort to document knowledge than to call a colleague, employees will always choose the latter. So make knowledge sharing as simple as possible by integrating it into existing work processes.
How do you prevent the knowledge base from becoming outdated after launch?
Assign an owner for each knowledge domain who is responsible for periodically reviewing and updating the content. Set fixed review intervals—for example, quarterly—and use systems that automatically flag when articles have reached a certain age. Modern knowledge bases with AI functionality can also detect which articles are frequently searched for but rarely read, which is a sign that the content does not align with employees’ actual needs.
Is knowledge sharing also relevant for smaller organizations, or is it only an issue for large companies?
Knowledge sharing is relevant for organizations of all sizes, but the challenges differ. In small organizations, knowledge is often concentrated among a handful of key individuals, meaning that the departure of a single employee can cause disproportionately great damage. In large organizations, the problem is more one of fragmentation and the difficulty of finding knowledge. The solutions scale accordingly: a small organization doesn’t need a complex enterprise system, but can already benefit from a well-structured, searchable knowledge base.
How do you measure whether knowledge sharing within an organization is actually improving?
Look at concrete, measurable indicators such as the average resolution time for customer inquiries, the number of transfers, the onboarding time for new employees, and the use of the knowledge base (search behavior, most-viewed articles, employee contributions). For customer service teams, customer satisfaction scores (CSAT) and first-contact resolution rates are direct metrics. Establish a baseline measurement before implementation so you can objectively demonstrate improvement.
What is the role of managers in breaking down information silos?
Managers play a crucial role: breaking down silos rarely succeeds if the initiative comes solely from the bottom up. Managers and executive leadership must actively encourage, reward, and model collaboration—for example, by sharing knowledge themselves and facilitating cross-functional discussions. In practical terms, this also means that managers must be willing to set cross-departmental goals and give employees the time and space to work on knowledge sharing, rather than treating it as an extra task on top of their regular workload.
