Ask questions in everyday language
Employees ask about a process, customer, project or policy without needing to know the right repository.
Company OS · Enterprise search · Knowledge base
AI knowledge management for businesses.
We combine SharePoint, Teams, drives and expertise in one internal AI knowledge system—with sources and existing access controls.
20 minutes · no obligation · no new platform without evidence
62%of respondents say they spend too much time searching for information during the working day
Where it hurts
The knowledge exists. Just not when a decision is being made.
A knowledge system should be more than a better-looking search interface. It should provide a reliable answer, show the source and recognise when knowledge is missing. At the same time, according to Bitkom, only 11 percent of German companies already using AI apply it to internal knowledge management — even though 37 percent of companies planning to use AI intend to do so.
Sources and context: Microsoft Work Trend Index 2023 (global survey) and Bitkom AI Study 2025. These figures describe survey responses, not guaranteed outcomes.
Avolang Company OS
One answer instead of ten search results.
Your internal assistant only knows the sources you approve. It shows what an answer is based on and declines to make a definitive statement when data is missing or contradictory.
See the answer and source together
The passage, document and currency remain traceable. Uncertain answers are flagged.
Identify gaps in company knowledge
Unanswered questions, duplicate files and outdated instructions become a concrete clean-up list.
How we solve it
From scattered documents to a usable knowledge system.
We do not start with every piece of data. One department, 30 to 50 real employee questions and clearly defined sources quickly reveal whether answer quality and value are right.
Collect questions
Real searches and follow-up questions from one team form the test set.
Organise sources
Clarify ownership, currency and access rights for each source.
Connect
Connect relevant repositories and line-of-business systems in a controlled way.
Test answers
Validate accuracy, evidence, refusal and escalation with subject-matter experts.
Roll out
Measure quality, close knowledge gaps and expand the scope.
Sources and permissions
Your knowledge stays where it already lives.
- MicrosoftSharePoint, Teams, OneDrive, Outlook and Microsoft Graph
- KnowledgeConfluence, wikis, quality management and learning platforms
- FilesNetwork drives, PDFs, Office documents and structured exports
- Business systemsCRM, ERP, tickets, project and document management
- DeploymentCloud, single tenant or on-premises AI — depending on data sensitivity and your system landscape
How we measure value
Not by answers. By answers you can rely on.
An internal AI assistant only succeeds when employees reach the right information faster and can recognise when a person needs to take over.
Time to answerFrom asking the question to receiving usable information.
Answers with sourcesShare of subject-matter-approved answers with evidence.
Escalation rateQuestions correctly passed to experts.
Expert interruptionsRepeated questions per period.
Knowledge gapsMissing, outdated or contradictory content.
Abandoned searchesQuestions without a reliable result.
Targets are defined using a clearly scoped question set. AI does not replace subject-matter approval or invent knowledge that is absent from your sources.
Frequently searched. Directly answered.
What businesses ask about AI knowledge management.
What is AI knowledge management in a business?
It connects approved company sources to a search and answer interface. AI finds relevant content, formulates an answer and shows the source. Rules for access, currency and escalation are part of the system — not just the language model.
How do you introduce knowledge management in a business?
Start with one department and real questions, not the entire data estate. Clarify sources and owners, test answer quality, and only then expand to more teams or repositories.
What is the difference between enterprise search and a Company OS?
Enterprise search finds content across multiple systems. A Company OS goes further: it connects knowledge, permissions and defined workflows so that an answer can also lead to a controlled next action.
Can AI respect our SharePoint and Teams permissions?
Yes. Depending on the technical integration, existing identities and permissions can be respected. We first assess which metadata and interfaces are available and where additional rules are required.
Is on-premises AI possible for businesses?
Yes. Whether on-premises models make sense depends on the sensitivity of your data, performance requirements, operational capabilities and cost. We compare on-premises, private-cloud and SaaS options for your specific use case.
First step
Bring three typical questions.
In a free fit check, we identify which sources are needed, how permissions apply and whether a focused knowledge pilot makes sense.
Assess your knowledge sources →