Case Studies
AI Reliability in Practice
Real engagements. Anonymised where required. Each case study documents the problem, what we did, and the measurable outcome.
4 Critical Findings in a Healthcare RAG Chatbot — Before It Shipped
A clinical AI team engaged us one week before their patient-facing RAG chatbot was due to go live. Our 374-vector red team found 4 critical findings — including PHI leakage via retrieval manipulation — before a single patient used the system.
4
Critical findings resolved pre-launch
48hr
Full report with evidence delivered
0
Patient data incidents post-launch
Catching Silent Model Drift Before It Hit a Quarterly Risk Report
A fintech team running AI-assisted loan decisioning had no production monitoring in place when their LLM provider pushed a silent update. We detected a 12% quality drift within 48 hours — a change that would have gone unnoticed for weeks without instrumentation.
12%
Quality drift detected in 48hr
24hr
Time from alert to rollback decision
14
Consecutive on-baseline weeks since
EU AI Act Readiness in 5 Days for a B2B SaaS AI Assistant
A B2B SaaS company preparing for EU market expansion needed documented AI governance compliance before their legal counsel could confirm EU AI Act readiness. We delivered a full gap analysis and prioritised remediation roadmap in 5 working days.
8
Compliance gaps identified and prioritised
5 days
Full audit and roadmap delivered
4 wks
Ahead of legal sign-off deadline