Most organisations do not lack knowledge. The problem is that it is difficult to find when needed. Procedures are documented, policies are in place, and onboarding materials have been produced. Yet many employees spend more time searching for information than actually using it.
It is precisely this challenge that InfoCaption and Intric solve together.
In many organisations, we see the same pattern. Knowledge is scattered across documents, email threads, local folders and within individual employees’ experiences. The result is that the same questions are asked over and over again to the same people, whilst important knowledge risks being lost when someone leaves.
Furthermore, when AI is introduced without a quality-assured knowledge source, a new problem arises. The tools may provide quick answers, but there is no guarantee that the answers are based on the organisation’s actual working practices or decisions.
Imagine an operations manager who is due to welcome a new employee. There is no standardised onboarding process. Pre-boarding is overlooked, no mentor is appointed, and each manager devises their own induction programme.
It often works out anyway, but in many cases, the new recruit gets a disjointed start and may choose to leave the organisation after just a few months. The problem is rarely a lack of commitment. It’s about the absence of a clear structure that makes it easy to get things right from the start.
In InfoCaption, the organisation creates, quality-assures and manages its knowledge. Guides, processes, procedures and e-learning modules are developed by the business’s experts, with clear ownership and version control.
Intric then connects an AI assistant directly to this knowledge base. Staff can ask questions in natural language and receive answers in real time. Every answer is based on the organisation’s own quality-assured content and includes a reference to the original source. This makes it easy both to trust the answer and to explore the topic in more depth if needed.
Access rights are also maintained throughout the process. If a user does not have access to a guide in InfoCaption, they will not receive an answer to that content via the AI assistant either. As the information is retrieved directly from the knowledge base, updates become available immediately, without anyone needing to maintain a separate dataset.
The discussion about AI often centres on which language model is best. In practice, this is rarely the decisive factor. What really affects the quality of the answers is the information the model is given to work with.
If the source material consists of old documents, outdated procedures or unstructured information, the results will reflect this. But if the AI is based instead on knowledge created, reviewed, and approved by the organisation’s own experts, the answers will be both relevant and reliable.
This is where the combination of InfoCaption and Intric makes a difference. The organisation’s collective knowledge is quality-assured by people and then made available via AI – quickly, securely and with full traceability. In this way, knowledge becomes not just something documented, but something actually used in day-to-day work.
The integration between InfoCaption and Intric is now available. Book a meeting, and we’ll show you how it works in practice.