Teams that turned AI exposure into a renewal artifact.
The operators wiring AI into the business don’t want another score. They want proof they can show a board, and a posture that stays current. Here is what that looks like in production.
Asset Management · France
Case study · name withheld under NDA
Claude × n8n × Lucide
A recurring AI-risk programme, run by agents instead of analysts.
Challenge
A Paris-based asset manager had agents across research, reporting, and client service, and a small team that could not run pen tests, surface reviews, and AMF-grade reporting on a manual cadence fast enough to keep up.
Approach
They wired Lucide into an n8n workflow with Claude as the reasoning layer, automating the full loop: risk assessment, penetration testing, end-to-end surface analysis, reporting, and the fix plan, then keeping it under continuous monitoring.
Outcome
What was a quarterly scramble is now a standing capability. Eleven critical findings closed in the first cycle, and every config change re-opens the loop automatically, with the conformity artifact regenerated for the board.
AMFDORAISO 42001EU AI ActGDPR
The automated looporchestrated · n8n
Risk assessment
Re-scores the AI estate against the live threat landscape.
Penetration testing
Real AI-specific attacks, run safely, evidenced per finding.
Surface analysis
End-to-end map of channels, tools, and reachable data.
Reporting
Board-ready posture and conformity artifact, auto-compiled.
Fix plan
Each finding ships with a prioritized, owned remediation.
Continuous monitoring
A config change re-triggers the loop. Improvement, not a snapshot.
Loop closes: monitoring re-opens assessment on any change.
42
AI agents mapped
6
Recurring tasks automated
120h
Analyst-hours saved / quarter
<2h
Re-assessment on change
“We stopped treating AI risk as a quarterly project. It runs itself now, and the evidence is waiting for me before the board even asks.”
Who we serve
Operational enterprises wiring AI into the business.
Financial services
Banks, asset managers, and insurers wiring AI into research, ops, and client flows under DORA, FINMA, and EIOPA.
Regulated enterprises
Operational businesses putting agents next to sensitive data, accountable to boards that need evidence, not scores.
AI-native builders
Teams shipping agents on n8n, LangGraph, and MCP who want exposure proven continuously as they iterate.
Your story next
Make your AI risk provable.
Start with a free assessment, or talk to us about wiring a continuous loop into your own stack.