Your company’s synonyms, abbreviations and approved names.
NXTGN AI · KI-Wissenssystem
Make company knowledge usable in your workflows.
Manuals live in the DMS, experience in past cases and answers with individual colleagues. NXTGN AI CORE connects these sources to your company’s terminology and context. This creates a knowledge base for evidenced answers, analysis and diagnosis. The knowledge graph adds relationships that a language model cannot learn from public information.
Explore scope and workflow ↓NXTGN AI CORE · Our AI product
AI using your knowledge and terminology.
A language model does not know your internal abbreviations or the relationships between your assets, components and business records. NXTGN AI CORE represents this context using a knowledge graph, glossary and taxonomy. Documents and databases supply the evidence; your specialists define terminology and relationships.
Explore NXTGN AI CORE →Relationships between terms, assets, components and sources.
Models, embeddings and OCR on your servers or hosted on a dedicated NXTGN instance.
Scope
What we deliver for you
Identify search tasks
We examine what people search for today and where retrieval fails. This produces concrete requirements and test questions.
Prepare sources
We identify obsolete versions, contradictory information and missing metadata. AI cannot fix these issues on its own.
Explain and implement RAG
Retrieval-augmented generation means the application first retrieves relevant content and provides it to the model for answering. The model does not automatically know your documents.
Add relationships
A knowledge graph can connect products, components, customers and documents. We assess whether that structure improves answers to your questions.
Respect access
Not every piece of information is available to every user. Permissions, identity and confidential content are included in access design and testing.
Check adoption
We test with your users whether evidence is retrieved, answers are useful and search time falls. Knowledge gaps go back to the responsible business team.
Use company knowledge in daily work
A company knowledge system makes existing knowledge usable for employees. The key is their actual questions and reliable, owned sources. The architecture can use NXTGN AI CORE as a standard core.
01
Technical service knowledge
An answer sits in a manual, an old service record or a colleague’s memory. Search takes time and the document version does not always match the device.
What we deliver
We connect approved sources and organise devices, versions and terminology. AI CORE supplies answers with evidence that your team can open and check.
What you gain
Service staff find relevant information in one place. Senior colleagues spend less time answering repeated questions. Your team retains responsibility for technical approval.
How we measure value
Search time per request, answers with evidence, technically correct answers and questions escalated to experts.
02
Proposal and project knowledge
A new proposal requires comparable work, scope descriptions and lessons learned. Project folders and file names only go so far.
What we deliver
We organise approved project documents, scope components and terminology. Retrieval considers relationships and permissions. Drafts can be based on the retrieved evidence.
What you gain
Existing experience becomes reusable. Your team starts with relevant material and can focus on the new client’s requirements.
How we measure value
Research time per proposal, reused material, correction effort and time to a reviewable first draft.
03
Internal information and onboarding
New employees need workflows, contacts and internal policies. Different repositories and obsolete documents make simple questions unnecessarily difficult.
What we deliver
We connect current, owned content and define which users can access which information. Answers cite sources. Gaps and contradictions are returned to the responsible people.
What you gain
Employees access reliable material faster. Knowledge owners see recurring questions and missing documentation.
How we measure value
Search time, recurring internal requests, successful source access and recorded knowledge gaps.
Clarify before delivery
A company knowledge system needs people accountable for its sources. It makes content usable but does not decide which internal instruction is correct or approved.
Do we need our own model?
Not necessarily. An existing model is often supplied with retrieved content. Training a model is a different task from connecting knowledge.
How does knowledge stay current?
We define updates, deletion handling and an accountable person for each source. These processes are tested before rollout.
Can NXTGN AI CORE provide the foundation?
Yes. AI CORE is our standard company-knowledge product. We assess how your sources, terminology and operating needs fit.
What do your teams search for every day?
Show us common questions and existing sources. Together we will assess a useful initial scope.
