AI Support

AI support where expert decisions are made

ANYVA uses AI as professional support – integrated into processes, requirements, risks, and TOMs. Responsibility for decisions remains with the user.

Plausibility justification

An LLM checks technical assessments for comprehensibility and consistency. It doesn't replace a decision – it provides a second level of review.

Risk assessment
  • Is the risk assessment comprehensible?
  • Does the justification match the chosen risk level?
  • Are there contradictions in the evaluation?
TOMs and Measures
  • Are the measures appropriate?
  • Are obvious TOMs missing?
  • Are all requirements fully covered?
DSFA-Plausibility check
  • Are risks fully captured?
  • Is the need for protection justified?
  • Are countermeasures appropriate?
Audit preparation
  • Are the proofs complete?
  • Are there gaps in the audit trail?
  • Are reasons documented?

RAG-powered expert system

ANYVA uses Retrieval-Augmented Generation (RAG) to specifically integrate existing specialist knowledge into the work context – not as a generic chatbot.

Embedded context
Own processesTechnical ServicesAssetsTOMsRequirementsRisks
RAG knowledge base
Tom's LibraryRequirements catalogueRisk scenariosRisk moduleStandardsInternal guidelines
AI Support
Generate suggestionsPlausibiliseCheck consistencySupport groundsSpotting gaps

Support instead of replacement

ANYVA-KI does not make decisions. It supports professionals in making better and more understandable decisions.

Exam

Reviews checked for plausibility and completeness.

 Suggestions

AI suggests TOMs, requirements, or actions – the user decides.

 Understandability

AI suggestions are documentable and auditable as support notes.

AI support in practice

In a demo, we'll show how plausibility checks and RAG support are integrated into everyday work.

Arrange a demo