AI Governance for
Financial Services
Meet regulatory demands before they become regulatory fines.
The FinTech Compliance Challenge
Your AI agents are approving loans, flagging fraud, and making trading decisions. Regulators don't just want to know what happened - they want to know why, with evidence that stands up to examination.
Requires comprehensive model validation, ongoing monitoring, and documentation of model limitations.
Mandates safeguards for customer financial information and audit trails for data access.
Requires internal controls and audit trails for financial reporting decisions.
Demands transparent risk models with explainable decision rationale.
Requires documentation of fair lending decisions and adverse action reasons.
Credit Decisioning
Capture the full context of every loan approval or denial, including the precedents and policies that informed the decision.
→ Defend fair lending compliance with cryptographic proof
Fraud Detection
Document why transactions were flagged or approved, with complete decision lineage.
→ Reduce false positive investigations with clear reasoning
Trading Algorithms
Seal every trading decision with the market context and risk parameters that applied.
→ Meet MiFID II and SEC best execution requirements
"Case study coming soon"
Join our private alpha for financial services. Hands-on implementation support included.
Schedule FinTech Demo