Mapping identified gaps in controls to operative standards using a generative artificial intelligence model

US12204323B1 · kind B1 · utility

Assignee

• CITIBANK, N.A. · US

Inventors

• Shardul Malviya · London, GB
• Samantha Cory · London, GB
• Mariusz Saternus
• Daniel Lewandowski
• Biraj Krushna Rath · London, GB
• Stuart Murray · London, GB
• Philip Davies · London, GB
• Payal Jain · London, GB
• Tariq Husayn Maonah · London, GB

Key dates

• Filing date: Jul 12, 2024
• Grant date: Jan 21, 2025
• Expiry date: Jul 12, 2044

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B23/0272
• WIPO field: Control
• WIPO sector: Instruments

Abstract

The systems and methods disclosed herein enable mapping of gaps in controls to operative standards. The system receives an output generation request using an artificial intelligence (AI) model, where the input includes a set of gaps associated with one or more scenarios failing to satisfy the operative standards of a set of vector representations. Each gap in the set of gaps includes attributes defining the scenario. Using the received input, the system constructs prompts for each gap, where the prompts include information related to the scenario and/or the operative standards. Each prompt compares the corresponding gap against the operative standards or the set of vector representations. For each gap, the system maps the gap to the operative standards by supplying the prompt of the particular gap into the AI model and, in response, receiving from the AI model the operative standards associated with the particular gap.