Built by Wehrspohn Risk Management

Agent-Driven
Enterprise Risk
Management

?

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.

Process integration over isolated tools

One continuous process instead of fragmented AI tools.

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.

01Risk interview

From conversation straight to a structured result.

The risk owner talks to the AI — voice-led, 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

Extracted

02Risk 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.

Briefing ready5 sources

Raw material supply

Asia–Europe freight rates +18 %, new concentration signals at APAC ports.

+18 % freight index
vs. Q1 2026
Briefing ready6 sources

Cyber risk

Active ransomware wave at two tier-1 suppliers — IT forensics confirms the same actor, patch state critical.

Active wave
vs. Q1 2026
Briefing ready4 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 2026

03Assessment 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.

Risk Research, in action.

RunRaw material supply
Ready
Noesis Risk
Internal
Web
Market
Briefing

Activity

0 steps

Research history
Run 13 findings
Run 25 findings
Run 38 findings
Run 4still open

Raw material supply

Ready for a demo?

Request demo

Interfaces

An open platform.

Connected to the systems you already use — and to the data sources that matter for solid assessments.

Noesis Risk

Interfaces

  • ERM systems
  • AI models
  • Web research
  • Market data
  • Voice
  • Documents
  • Excel & CSV
  • Internal systems

Deployment 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.