Legacy integration
Custom connectors and adapters for dated ERPs, bespoke management software and scattered document sources. It draws on your existing information system, without rebuilding it.
Use case · Knowledge management & document chat
Your company's knowledge, one question away.
An AI chatbot that draws on your company documentation, with differentiated access per unit. Chat with your documents in natural language and discover what changed between one version and the next — with a private model for sensitive data.
In short
What FlairBit's knowledge management is.
FlairBit's knowledge management solution builds AI chatbots that draw on company documentation, with differentiated access criteria for the various internal units. It lets you chat with documents in natural language and semantically identify the variations between versions, explaining to the user what changed and why it matters. For sensitive data it uses a private LLM, ensuring confidentiality and compliance.
The problem
Knowledge is scattered. Searching for it costs time — and confidentiality.
Technical and procedural knowledge is scattered across many documents and versions. Operators waste time looking for the right information, and the company still has to ensure confidentiality and differentiated access by criticality and role.
- Scattered knowledge. Procedures, manuals and regulations are spread across many documents and versions.
- Time lost searching. Operators spend hours finding the right, up-to-date information.
- Confidentiality and roles. Differentiated access by criticality and role is needed, without exposing sensitive data.
Procedure · 7 versions⚠ which one?
Technical manual · 240 pp.⚠ where?
Regulation · updated⚠ what changed?
Manual search · operator~45 min
The FlairBit solution
Chat with your company's knowledge, with Stratum AI agents.
An intelligent knowledge platform built on Stratum AI agents: datasets with access per unit, natural-language chat and semantic comparison between versions. Three capabilities working together.
01 · Chat with documents
A question in natural language, the answer with its source.
An intelligent knowledge platform with datasets and access criteria per internal unit. Operators chat with documents in natural language and get precise answers, with a reference to the source document.
- Natural language. Query the documentation the way you'd talk to an expert colleague.
- Answers with source. Every answer cites the document and the point it comes from.
- Datasets per unit. Differentiated access criteria for the various internal units.
Operator · question“What's the tightening torque for the R-12 model?”
AI · searches the knowledge base
“42 Nm, per the R-12 assembly procedure.”source · Manual_R12.pdf · §4.3
02 · Semantic comparison between versions
Not just what changed, but why it matters.
The AI semantically identifies the variations between versions of a document: it doesn't just compare text, it explains to the user what changed and why it has an impact on procedures, requirements and compliance.
- Semantic diff. It recognizes the meaning of changes, not just textual differences.
- Explains the impact. It clarifies in natural language why a variation matters.
- Always up to date. You instantly know which version is valid and what changed since the last one.
Procedure v2.1
Procedure v2.2
AI · what changed and why it mattersThe temperature limit went from 80 °C to 75 °C: the check must be run before testing, not after.
03 · Private model and data separation
Sensitive data on a private model, units kept separate.
For sensitive data the solution uses a private LLM and automatically selects the model — private or public — for security, confidentiality and performance. The modular multi-organization architecture keeps a strict separation of data between business units.
- Private LLM. Sensitive data stays within the company perimeter.
- Automatic selection. Private or public based on security, confidentiality and performance.
- Multi-organization. Strict separation of data between the various business units.
Business unit A · Technicalaccess ✓
Business unit B · Qualitydedicated scope
Sensitive data · HRrestricted
Router · model selectionprivate
Benefits
Fast, compliant and confidential answers.
Four effects of chatting with your documents on daily work and on compliance.
Operational efficiency
Fast
Fast, precise access to information, without searching through dozens of documents.
Regulatory compliance
Aligned
Answers aligned with current regulations, using the correct version of the document.
Search & training costs
Reduced
Less time searching and training: knowledge is available on demand.
User experience
Intuitive
A conversational web interface: usable straight away, with no training.
Typical effects of FlairBit implementations on Stratum AI; results vary by documentation estate and processes.
How it integrates
It plugs into the systems you already have. Legacy included.
The solution runs on Stratum AI and draws on your existing document sources, including custom management software, dated ERPs and legacy systems. Multi-model GenAI, available in private hosting, GDPR and AI Act compliant.
Multi-model GenAI
Automatic selection of the private or public model for each request, based on security, confidentiality and performance. No lock-in on a single vendor.
Private model
Sensitive data never leaves your perimeter: the private LLM runs in your cloud or data center, on-premise too.
GDPR & AI Act
Governance, traceability and differentiated access designed into the platform. Compliance by design, not bolted on afterwards.
Your company's knowledge, just a question away. Confidential by design.
Frequently asked questions
The questions we get most often.
Does sensitive data stay private?
Yes. For sensitive data the solution uses a private LLM, runnable in your cloud, data center or on-premise: documents never leave the company perimeter. The platform automatically selects the private or public model based on security, confidentiality and performance, in compliance with GDPR and the AI Act.
Can I give different access to different departments?
Yes. The intelligent knowledge platform defines differentiated access criteria for the various internal units. The modular multi-organization architecture keeps a strict separation of data between business units, so each department sees and queries only the documents it is authorized for.
How do I tell what changed between two versions of a document?
The AI semantically identifies the variations between versions: it doesn't just compare the text, it explains in natural language what changed and why it matters, highlighting the impact on procedures, requirements and compliance.
Does it use public or private models?
Both, intelligently. The solution is multi-model GenAI and automatically selects the private or public model for each request, balancing security, confidentiality and performance. Sensitive data is always routed to the private model.
Let's see it on your documents