Murphy provides AI‑driven collections automation for banks, using compliant agents to handle outbound debt‑recovery interactions across 15+ languages and multiple channels. The platform scales indefinitely, reducing collection costs by 50–70% while maintaining audit‑ready, fully traceable communications that only escalate to humans when necessary.
Funding
$13M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
4OFounders
Product
Problem
Banks and financial institutions rely on manual collections teams or third‑party agencies, which can lead to compliance breaches, reputational risk, and inconsistent recovery outcomes.
Solution
Murphy delivers an AI‑driven collections platform that automates outbound outreach across 15+ languages while adhering to strict regulatory standards such as ISO 27001, GDPR, and the EU AI Act. The system uses autonomous agents to handle routine interactions and escalates to human operators only when necessary, ensuring consistent, respectful communication. All interactions are fully auditable and traceable, giving institutions control over compliance boundaries. The platform operates 24/7 with unlimited outbound capacity, reducing collection costs by 50–70% without requiring additional headcount.
Target Audience
Primary customers are banks and other financial institutions that manage consumer debt portfolios and require compliant, high‑volume collections at reduced cost.
Features
- AI agents that conduct multilingual (15+ languages) outbound collections and trigger human escalation only for complex cases
- Built‑in compliance engine that enforces institution‑defined rules and generates fully auditable interaction logs
- ISO 27001, GDPR, and EU AI Act certified security framework for data protection and regulatory integrity
- Continuous 24/7 operation with infinite scaling, eliminating headcount limits and ramp‑up time
- Cost‑effective model delivering 50–70% lower collection expenses compared to traditional teams