FAQ: Knowledge Retention with Implix
Many organisations already have documentation, wikis, or SharePoint structures. Yet critical experiential knowledge often remains tied to individual people. This FAQ explains how Implix supports knowledge retention, how a first knowledge area is selected, and how expert knowledge becomes content for handovers, onboarding, and existing knowledge systems.
When is the right time for knowledge retention?
The right time is before a handover, retirement, or role change, not after. While the experienced person is still at the company, their knowledge can be captured systematically. Waiting means falling back on documents and colleagues' recollections, which rarely covers everything.
A pilot also makes sense without an immediate departure: when building structured onboarding materials, preparing for growth, or when an area is particularly exposed to knowledge loss.
What is a knowledge area?
A knowledge area is a clearly defined topic, role, process, or handover situation. Examples include the know-how of an experienced account manager, onboarding content for new production staff, or the decision logic of a senior specialist.
A well-chosen knowledge area is manageable enough for a pilot and delivers usable results quickly.
How do we choose the first knowledge area?
The first knowledge area should meet three conditions: there is a concrete need, at least one experienced person is available for interviews, and the scope is manageable enough for a pilot.
Many organisations start with a key role whose knowledge is especially person-dependent. We help identify a good starting point in a first conversation.
Which areas are best suited for a first pilot?
Good candidates are key roles with high experience content, handovers ahead of retirement or job changes, new onboarding processes, and areas where a few people field most questions.
Less suitable for a first pilot are heavily regulated areas with complex approval processes.
Who should be involved at the start?
Three roles are needed at the start: the expert being interviewed, someone who can review the results for accuracy, and a responsible person who approves the pilot.
Larger teams, IT, or HR only become relevant once the pilot has been reviewed and a scale-up is planned.
How much time does this take for specialists?
An AI-guided interview takes 20 to 45 minutes and needs no preparation. A pilot typically requires one to three interviews. Audio recordings or written responses work just as well.
The system handles structuring and preparation. The specialist is briefly involved again to review results but is not continuously engaged.
What if our experts have very little time?
Interviews can happen asynchronously: via audio recording, a written form, or in several short sessions. The AI guides the process and adapts follow-up questions automatically.
If an expert is severely time-constrained, we work out the most suitable format in advance.
Does existing content need to be recreated?
No. Existing documents, presentations, process descriptions, or earlier recordings can be included. The system analyses those materials and identifies gaps, which are then addressed specifically in the interview.
Whether existing documents are complete or not is secondary. Gaps are the starting point, not an obstacle.
What is produced at the end?
Depending on the knowledge area and goal: structured knowledge building blocks, handover documents, onboarding paths, learning modules, or process descriptions. Results are source-linked, traceable, and can be fed directly into existing systems.
Finished training programmes or complete manuals are not produced automatically. What emerges is a structured, reviewable knowledge foundation from which those formats can be built.
How is it ensured that the content is accurate?
Every piece of content is produced with source references so the basis for each statement is traceable. Specialists review the structured results and can make corrections before content is used.
A result is considered well-captured when the reviewing expert can accept it without significant rework and confirms the essentials of the area have been covered.
How do we protect sensitive data and personal information?
Data protection is built in from the start. Content is processed for defined purposes, access can be controlled, and sensitive information can be reviewed before publication.
In the pilot we work out together which data is processed and which safeguards are required.
Can existing systems continue to be used?
Yes. The structured content can be transferred into SharePoint, wikis, LMS platforms, internal knowledge bases, or other systems. Existing infrastructure stays in place; Implix adds the capture and structuring step that precedes it.
We already have SharePoint or a wiki. Why Implix?
SharePoint and wikis make existing content accessible. They require someone to enter that content. Experiential knowledge that was never written down stays invisible.
Implix captures that knowledge from interviews and documents and turns it into structured content that can then be fed into the existing system.
Why is a RAG system not enough for this?
A RAG system retrieves knowledge from existing sources. If experiential knowledge was never documented, there are no sources to retrieve from.
Implix creates that foundation through structured capture. The results can then also be used by RAG systems.
How does the AI expert interview work for specialists?
The interview is fully guided by the AI. Based on existing documents, the system generates targeted questions for the knowledge area. The specialist answers via conversation, form, or audio recording.
Responses are automatically structured and checked for completeness.
What happens after a first pilot?
After the pilot you have structured knowledge building blocks from one concrete area. We review the results together and discuss whether and how the approach should expand to further areas.
No commitment to scale-up is needed beforehand. The pilot is self-contained, clearly scoped, and reviewable.