Making internal knowledge accessible with enterprise chatbots: AI in knowledge management
In an environment shaped by waves of retirement and a shortage of skilled workers, efficient knowledge management and utilization is a critical success factor. Companies must ensure that their internal knowledge is easily accessible, up-to-date, and usable. An emerging trend in this area is the use of AI-based internal chatbots. This technology can revolutionize internal knowledge management and offers significant benefits to companies.
The role of enterprise chatbots in knowledge management
Enterprise chatbots based on generative AI have enormous potential to fundamentally change the way we search for information in intranets and manage internal knowledge.
Traditional search engines in intranets often failed to find the information being searched for efficiently. This forces employees to sift through numerous documents and files to find answers to their questions.
Chatbots, on the other hand, understand natural language and can engage in human-like conversations about company policies or product information. This makes information retrieval significantly easier.
What is the difference between an enterprise chatbot and a Q&A chat?
An enterprise chatbot is an AI-powered program that conducts complex and interactive conversations to support various tasks such as customer service, e-commerce, HR, and marketing. It can automate processes, understand user inputs, and respond accordingly.
A Q&A chat specializes in simple question-and-answer interactions by responding to specific queries from a predefined knowledge database.
While enterprise chatbots are more communicative, Q&A chats provide an efficient solution for direct information queries and frequently asked questions.
The choice between enterprise chatbot vs. Q&A chat depends on the specific needs of the company.
For this article, we use the term enterprise chatbot synonymously with Q&A chat and consider both tools as a simple solution for querying knowledge easily.
What use cases does an enterprise chatbot have?
An enterprise chatbot specifically developed for internal knowledge management can take on a variety of tasks:
Information retrieval and distribution
An enterprise chatbot can search your internal knowledge in seconds. Employees can ask the enterprise chatbot questions, and it instantly provides the needed information from internal databases, documents, and wikis. This saves time and reduces dependence on human experts.
Internal documents in the chatbot are processed in small chunks, summarizing the key information compactly.
Internal chatbots have gained significant attention, particularly in customer service.
What helps external stakeholders like customers can help internal stakeholders like employees just as much.
Onboarding new employees
New employees often face the challenge of needing a lot of different information without knowing the relevant contacts.
An enterprise chatbot can help new employees get up to speed quickly by providing access to important information and processes. It can answer FAQs, provide documents, and recommend training materials.
With the enterprise chatbot, internal knowledge is available—regardless of where the person who first documented this knowledge is located or whether they are still part of the company.
Continuous learning and training
An enterprise chatbot can help employees acquire new skills in a simple and continuous way. A chatbot for internal knowledge serves not only for immediate knowledge distribution but can also be excellent for ongoing training.
By the way, this is just one way AI is used in the education sector. Another example is a case study of a system for continuing education recommendations.
Feedback and improvement
A chatbot can collect feedback from employees and analyze frequently asked questions. This helps identify knowledge gaps and continuously improve the knowledge management system. Additionally, it can track which questions still have information gaps in the intranet, which can then be filled in.
Advantages of an AI-based enterprise chatbots for internal knowledge
The use of a enterprise chatbot for internal knowledge offers numerous advantages:
Time-saving
Since the chatbot can search internal knowledge, employees spend less time searching for information and can focus on their core tasks.
Accessibility
Knowledge is available 24/7, regardless of location or time zone.
Consistency
The chatbot provides consistent and standardized responses, ensuring the quality of the information.
Scalability
An internal chatbot can easily respond to a large number of queries without requiring additional resources.
Adaptability
The chatbot can be tailored to the specific needs and requirements of the company.
How can I chat with my documents?
Chatting with your own documents can be very practical and save employees a lot of time and effort. AI solutions suitable for chatting with your documents include:
- ChatGPT by OpenAI, which impresses with high performance
- ONTEC AI Platform, which offers reliable answers and European data protection
To chat with your own documents, the following steps are necessary:
- Provide/upload the document to the AI tool
- Ask the question in a clear and precise form (known as prompting)
- Receive answers and verify them if necessary
How does an enterprise chatbot retrieve internal knowledge?
There are different systems through which enterprise chatbots can access knowledge. Traditional chatbots mainly worked with keyword-based search. Newer chat systems, however, rely more on semantic search and so-called RAG solutions.
RAG stands for Retrieval Augmented Generation. It is a technique that uses an LLM (Large Language Model) to search for relevant information in the intranet and translate it into a natural response.
In the image below, an example of the RAG solution by ONTEC AI shows how RAG can examine information based on a query and also check for validity, relevance, and usefulness. This ensures that the resulting answer is correct and helpful.
Challenges and solutions
Although the use of enterprise chatbots in knowledge management offers many benefits, there are challenges, as with any software solution. These include ensuring data quality, protecting confidential information, and integrating into existing IT systems.
To overcome these challenges, companies should:
- Decide on the implementation consciously: Those responsible can choose to develop a custom solution or rely on ready-made Q&A chat solutions. The former offers the advantage of precise development but comes with higher costs; the latter is cost-efficient but lacks customization.
- Include stakeholders: Introducing a chatbot is a strategic decision that usually affects multiple stakeholders.
- Regular data updating and maintenance: Ensure that the knowledge database is regularly updated to maintain the relevance and accuracy of the information.
- Data protection and security: Implement security measures to protect sensitive data and comply with data protection regulations.
- User-friendliness: Develop an easy-to-use interface to encourage the adoption and use of the chatbot.
Conclusion
Today, a enterprise chatbot can search internal documents in seconds. This makes internal knowledge more accessible and can significantly improve knowledge management in companies.
Through the fast and efficient provision of information, support in onboarding new employees, and fostering continuous learning, the enterprise chatbot contributes to increasing productivity and improving employee satisfaction.
Despite some challenges, the implementation of such a system offers significant long-term benefits and represents an important step toward a digitalized and future-oriented way of working.