The Regulatory Landscape
Financial services AI operates under some of the strictest regulatory oversight in any industry. PSD2 mandates strong customer authentication and open banking compliance. MiFID II requires best execution documentation and suitability assessments. AML directives demand real-time transaction monitoring with full audit trails. Every AI decision that touches customer funds, risk assessment, or compliance reporting must be attributable, auditable, and reversible.
Governance Use Cases
Transaction Monitoring
AI-driven AML screening with constrained agent identities per monitoring scope. Every flagged transaction linked to the specific model version, threshold, and rule that triggered it. Kill thresholds on false positive rates prevent alert fatigue without silencing genuine risks.
Credit Scoring & Underwriting
Automated credit decisions require explainability under GDPR Article 22. Governance-first architecture ensures every scoring decision has a full provenance chain from input features to output score, with human-in-the-loop gates for borderline decisions.
Fraud Detection
Real-time fraud detection agents with scoped permissions — read access to transaction streams, write access only to flag-and-hold queues. Cost guardrails per pipeline run prevent runaway model inference costs during volume spikes.
Regulatory Reporting
Automated report generation for regulators with full audit trails. Every data point traceable to source. Human review gates before submission. Version-controlled report templates aligned to current regulatory requirements.
Framework Application
The AI Plumber framework’s four foundational patterns — constrained agent identities, attributable actions, human-in-the-loop gates, and kill threshold monitoring — map directly to financial regulatory requirements. Agent identities satisfy PSD2 authentication requirements. Attributable actions satisfy MiFID II best execution documentation. Human-in-the-loop gates satisfy AML escalation obligations. Kill thresholds prevent automated decisions from operating outside validated parameters.