VulneraScan is an ethical AI platform designed to help financial institutions identify and support vulnerable clients in real time. Using advanced voice-to-text NLP and FCA-aligned vulnerability models, the app listens, detects, and flags potential vulnerability indicators—ensuring every client is heard, understood, and protected.
Built with compassion and precision, VulneraScan empowers advisors, compliance teams, and financial organisations to elevate Consumer Duty into meaningful action.
Key Features
1. Real-Time Vulnerability Detection
• Analyses client–advisor conversations as they happen
• Detects FCA & benchmark vulnerability indicators: health, resilience, capability, and life events
• Flags risk moments instantly for advisor awareness
2. Ethical AI Speech Understanding
• Converts speech to text with high accuracy
• Uses explainable AI models aligned with FCA Consumer Duty principles
• Ensures insights are auditable, fair, and transparent
3. Dashboard & Vulnerability Score
• Generates a clear vulnerability score after each call
• Provides evidence-backed explanations of why a client may be vulnerable
• Suggests recommended next steps and best-practice support actions
4. Compliance Reporting
• Automated post-call reports
• Supports QA, compliance teams, and audit requirements
• Helps firms demonstrate Consumer Duty obligations with confidence
5. Built on Strong Values
Empathy by Design – Technology that listens with compassion, not just accuracy.
6. Integrity First – Explainable, auditable insights always aligned with FCA standards.
7. Privacy & Protection – High-level security and respectful data handling.
8. Transparency & Trust – AI designed to support—not replace—human judgment.
9. Continuous Improvement – Learns from every interaction to better protect vulnerable clients.
Our Purpose
To help financial services identify and signpost vulnerable clients through AI-powered speech analysis—ensuring firms protect customers, meet FCA Consumer Duty obligations, and reduce operational workload.
Why VulneraScan?
• Increases accuracy in vulnerability detection
• Reduces operational time and manual assessments
• Enhances advisor decision-making
• Sets a new standard for ethical AI in financial care.