Simulate Regulatory Audits to Train Diversion Investigators and Improve Audit Protocols
Description
Enables simulations of DEA Diversion audits that can be used to train new Diversion Inspectors while evaluating DEA audit protocols for inconsistencies and vulnerabilities-to generate best practice models.
Detailed example
Unknown
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Ultimately, this will improve the efficiency and quality of regulatory audits, which will increase the number of civil fines that we issue.
Audit / financial statement impact
Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Controls / human review
ATO: Not reported; PIA: Not published