AI-Based Knowledge Management
The knowledge is there, but nobody can find it
AI-powered knowledge management makes your organization's knowledge accessible in seconds, not hours.
license fees
The problem in everyday operations
Knowledge exists, but is hard to access
- Three articles in the wiki, two of them outdated Your employee searches for an answer, finds contradictory information, and ends up asking a colleague anyway. That colleague spends another ten minutes searching.
- Your most experienced employee resigns With them goes the knowledge of dozens of special cases, workarounds, and customer specifics. None of it is documented. Onboarding the successor takes months.
- Five systems, no overview Wiki, SharePoint, Confluence, ticket system, emails. The knowledge is there, but spread across so many places that nobody finds everything.
- Your expert knowledge lives in individual people's heads Whether law firm, engineering office, or service provider: client knowledge, project history, special cases. If the wrong person is sick or leaves, operations stall.
Solutions
What we deliver in practice
We make existing knowledge findable, traceable, and directly usable in daily work.
- Connect knowledge sources
- Wikis, tickets, documents, and existing repositories are made searchable without creating a new knowledge silo.
- Deliver answers with sources
- Employees ask questions in natural language and receive traceable answers with source references.
- Maintain the knowledge base automatically
- Resolved tickets create new knowledge articles, department-specific and traceable, instead of knowledge becoming outdated.
- Integrate into the flow of work
- Knowledge comes into Teams, Slack, or the service desk, including granular permissions and audit trails.
Customer Success
From practice: From 2.5 days to 30 seconds
A global financial services provider with over 100,000 employees needed an average of 2.5 days to respond to internal IT inquiries. Frustrated employees, high support costs, slow knowledge building.
The Solution
We built two specialized AI knowledge assistants, each processing around 2,000 technical documents in multiple languages. Integrated into Microsoft Teams, on the customer's private cloud infrastructure. Every answer includes source references down to paragraph level.
The Result
Response time from 2.5 days to under 30 seconds. Documentation quality improved because the AI identifies knowledge gaps. IT team freed up again for complex cases.
Benefits
What you gain from it
With an integrated knowledge hub, internal know-how becomes easier to find, more consistent to use, and less dependent on individual people.
Support relieved.
Routine questions are answered automatically. Your team focuses on the cases that truly require expertise.
Faster answers.
Employees find in seconds what used to take them minutes or hours. Without searching through five systems.
Knowledge is preserved.
When someone leaves the company, their knowledge stays in the organization. Onboarding becomes plannable instead of person-dependent.
The knowledge base grows automatically.
New knowledge emerges from daily operations instead of having to be maintained manually.
Approach
How it works
Analysis
Where is the knowledge, who needs it, where are the biggest gaps?
Prioritization
Analyze existing sources and access rights, select use cases.
Implementation
Configure the knowledge system, integrate into existing tools, build the knowledge base.
Further development
Analyze usage, unlock additional use cases.
Document analysis
Good knowledge management needs good sources. If a large part of your knowledge is in contracts, compliance documents, or technical records, document analysis is the key to unlocking this knowledge. Continue to Document Analysis.
Free Initial Consultation
Let's talk about your knowledge management
Faster answers for your employees, shorter onboarding for new colleagues, less dependence on individual knowledge holders, and a knowledge base that automatically grows instead of becoming outdated.