Process integration over isolated tools
One continuous process instead of fragmented AI tools.
Built by Wehrspohn Risk Management
The AI tool for the entire ERM process.
AI research on risk
Raw material supply disruption
71.7%
↑ +0.0% since run start
142sources checked
StartComplete
By step
Internal research100%External research100%Data analysis71%Briefing16%
3 risk signals identified across 142 sources
Based on: 142 sources
?
„Can AI help identify our risks?"
When AI in risk management is discussed, it usually focuses on isolated features.
Fair enough. But what's actually needed is a flexible AI platform that's integrated across the entire process.
Platform
What sets Noesis Risk apart.
Shared context over isolated steps
What one agent finds, the next ones know. No handoffs, no duplicated research.
Sources over assumptions
Every AI statement is backed by sources.
Use Cases
Already implemented in the prototype.
1 · Risk interview
From conversation straight to a structured result.
The risk owner talks to the AI, voice-led and structured. Fields are extracted during the conversation, every reasoning stays traceable.
Voice
N
Where do you currently see the biggest weakness in the supply chain for critical components?
Pick a response
Pick a response
Extracted
2 · Risk research
A briefing per risk, automatically.
Internal documents, web, market data. Our AI captures the data that could affect this risk's assessment, with sources and time-period context.
5 sources
Raw material supply
Asia–Europe freight rates +18 %, new concentration signals at APAC ports.
+18 % freight index
vs. Q1 20266 sources
Cyber risk
Active ransomware wave at two tier-1 suppliers. IT forensics confirms the same actor, patch state critical.
Active wave
vs. Q1 20264 sources
Machine failure
Main production line: manufacturer reports 8-week lead time for critical spare part, last service overdue.
+5 weeks lead time
vs. Q1 20263 · Assessment validation
Assessment checked against current findings.
Does the assessment still hold up against current findings? The AI checks every field and flags where something doesn't fit. Direct input for the next interview.
Assessment validation
Findings
From risk research
- Asia–Europe freight rates +18 % (FBX)
- Hapag-Lloyd: freight surcharges from May 2026
- APAC concentration on 2 ports (+23 % volume)
Risk assessment
Reviewed fields
Probability
Review
Impact
valid
Causes
valid
1 assessment should be reviewed. The probability doesn't match the current findings. Review recommended.
Ready for a demo?
Request demoDeployment Models
Ready for any IT governance.
Noesis adapts to your IT governance, not the other way around.
Fastest start
SaaS
We host, you use.
- Up and running without your own setup
- Always on the latest version
- Hosted in Germany
- GDPR compliant
Maximum control
On-Premise
In your data center.
- Entirely on your hardware
- Local LLMs, no external API call
- Data never leaves your network
- Your policies apply 1:1
Best of both
Hybrid
Mix as you like.
- Self-hosted on your side
- Your own cloud LLMs (e.g. Azure OpenAI)
- Adaptable to your needs
- Sensitive data stays local
Demo
See Noesis Risk live.
We walk you through the entire process, from the voice interview to the released briefing.
- Live demo of the platform
- AI-powered interview with the risk owner
- AI-powered risk research and assessment validation
- Architecture and deployment model for your setup
Response within 24 hours.