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Knowledge bases

Knowledge bases and company assistants

A user should receive an answer together with its source, document version and access scope. We design the knowledge base so content updates and ownership of accuracy are part of the solution.

Discuss a knowledge base

Scope

What we review and what result the change should deliver.

The signals help identify the problem. Scope and result show what RUNSY can own technically.

Signals

What points to the problem

  • knowledge is scattered across documents, emails, systems and a few people's memory
  • the team asks the same questions, but answers depend on who is available
  • automation needs context from procedures, previous decisions and data in several places

Scope

What we change

  • define knowledge sources, answer scope, permissions and update rules
  • connect search with permissions and references to the documents used in an answer
  • define answer limits and the cases routed to the right person

Result

What should work differently

  • faster access to company knowledge without digging through documents and message history
  • assistants limited to clear tasks that can be verified
  • less dependence on informal knowledge held by individual people

Related situations

Example problems from this area.

See how this area connects with specific problems in processes, data and systems.

Knowledge

The team searches for answers in too many places

Problem

Procedures and decisions are scattered across documents, email and business systems. The answer depends on who happens to be available.

What we change

We organize the sources, connect them to search and show which document supports each answer. Questions without a reliable answer go to the right person.

After the change

The team finds answers faster and can verify the source document.

Documents

The team reviews similar documents by hand before making a decision

Problem

Documents, requests or case descriptions must be read, classified and turned into a proposed next step.

What we change

The model extracts the required data and prepares a proposal. The system checks agreed rules, and a person approves the result where an error would matter.

After the change

Each case takes less time to prepare, and the system records who approved the result and why.

See all examples

Let's talk

Start with the process that takes too much time today.

Tell us where the team loses time, which systems are involved and what needs to work differently. That is enough for a first conversation.

Contact

Describe the problem, and we will start with a short diagnosis.

Email

Send a few sentences about the process, systems and expected result. That is enough to see whether the first step is integration, AI automation, an audit or an operational application.