The Problem:
Your expertise is buried in “dead” PDFs and Slack threads. Standard AI often hallucinates, delivering plausible-sounding answers that create liability.

The Solution:
An industrial-grade Knowledge Platform that distinguishes between a draft and a directive. We provide traceable, validated responses that empower your team to act with 100% confidence.
An industrial-grade Knowledge Platform that distinguishes between a draft and a directive. We provide traceable, validated responses that empower your team to act with 100% confidence.
It provides clear, verified answers from your knowledge base, ensuring that teams can access reliable information and approved process knowledge at any time.

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<5 Sec.

to find the right answer

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processing time per request

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knowledge coverage possible

Sounds good?

Then let’s find out, how knowledge management can be integrated into your company.

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Turning Documents into "Knowledge Units"

Traditional document management or search systems find text. Our platform recognizes the validity, context, and significance of knowledge. This transforms scattered documentation into a structured knowledge database for businesses.

Source vs. Status:

We separate raw source documents from “Knowledge Units.”
Only verified, approved content is used to generate answers.

Contextual Relationships:

Our AI understands how a change in a “Policy” impacts a “Process,” mapping dependencies so you see the ripple effect of every update.
This makes dependencies in company knowledge visible.

Zero-Hallucination Policy:

If the verified knowledge doesn’t exist, the system states it explicitly. No guessing. No risks. Just the facts.

How Knowledge is Managed

From fragmented data to actionable, high-relevance intelligence

MULTIMODAL DATA COLLECTION

The system is connected to all relevant sources of information—documents, images, transcripts, and technical content.

Knowledge Sources

>Documents • Images
Transcripts • Technical
Content
→

Ingestion & Unification

→
SEMANTIC RELEVANCE SCORING

Instead of simply matching keywords, the system evaluates meaning and context. Each search query is compared against all knowledge units and ranked according to dynamic relevance.

Semantic Evaluation

Relevance Scoring
→
INTENT-BASED SEARCH

Users ask questions in natural language. The system provides a precise, clear answer—or explicitly states when no reliable information is available. This prevents incorrect answers and eliminates AI hallucinations.

Intent & Confidence

→

Verified Knowledge Unit

Source: Policy Manual
Version 2.3

Operational Precision

Trusted answers in real working environments.

Natural Interaction:

Access data through intuitive chat interfaces or voice-to-knowledge commands—designed for hands-free environments like production floors.

Reliable Retrieval:

Utilizing sophisticated ranking algorithms to ensure that the most pertinent information surfaces first, reducing “noise” in critical decision-making moments.

Human Oversight:

When a query falls below the relevance threshold, the system escalates a route to human experts. This feedback loop ensures the knowledge base evolves under human supervision.

Why Organizations
Trust SUSI&James

SECURITY

Security First:

TISAX guarantees compliance with the highest automotive and industrial security standards.

TRUTH

Truth over probability:

The system doesn’t guess; it delivers validated answers based on verified knowledge.

PROCESS

Process-Aware:

Knowledge is rooted in operational context, not just data—ensuring relevance across workflows.

Benefits for Your Business

Accelerated Retrieval:

Reduce search time, increase decision speed.

Streamlined Onboarding:

Get new employees productive faster through structured access to full knowledge base.

Operational Consistency:

Ensure consistent, approved answers across teams and processes.

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Any questions?
We have the answers.

Here you will find the most frequently asked questions about Knowledge Management - short, clear and to the point.

How does this improve daily operations, not just access to information?

Knowledge is treated as an operational asset. The system is designed to support workflows, ensure consistency across teams, and prevent actions based on outdated or invalid documentation.

How does the system avoid incorrect or hallucinated answers?

The system only delivers answers when high-relevance, approved knowledge is available. If confidence is below the defined threshold, it explicitly states that no reliable answer can be provided instead of guessing.

How is this different from a traditional search or chatbot solution?

Unlike keyword-based search or generic chatbots, the system evaluates meaning, context, and intent. Every answer is grounded in verified sources and designed for operational use—not probability-based text generation.

Can the system integrate with our existing tools and data sources?

Yes. The platform is designed to integrate seamlessly with existing document repositories and collaboration tools such as SharePoint, Teams, or Jira—without requiring major infrastructure changes.