Ai-optimized compliance-adaptive execution engine
OwnerGeorge Bickerstaff Bickerstaff, IIIinventor
Life of this patent
Estimating the term…
Abstract
An AI-optimized compliance-adaptive execution engine aggregates data from secure APIs, generates regulatory constraint models using transformer-based NLP and generative AI, forecasts regulatory changes, harmonizes cross-jurisdictional rules via graph optimization, predicts client-specific violation risks using reinforcement learning, and executes or rewrites actions to ensure regulatory compliance. All actions are logged to a cryptographically-secured ledger, and analytics are delivered through secure interfaces. The system improves accuracy, reduces false positives, and enhances auditability.
Claims10
A computer-implemented method for compliance-adaptive execution in financial operations, comprising:
- (a) aggregating client, market, behavioral, and regulatory data objects via secure application programming interfaces and storing the objects in a vector database;
- (b) generating regulatory constraint models using transformer-based natural language processing and generative artificial intelligence, and updating the models using time-series forecasting;
- (c) harmonizing regulatory constraints across multiple jurisdictions using graph-based optimization to produce a unified constraint set;
- (d) computing client-specific compliance-violation probabilities using a reinforcement-learning model;
- (e) executing compliant actions or rewriting non-compliant actions based on the unified constraint set and the violation probabilities;
- and
- (f) logging the executed or rewritten actions in a cryptographically-secured, tamper-resistant audit ledger.
Dependencies are inferred from the claim text.