Audit Green Book Classification
Description
Manual classification and tagging of audits and recommendations according to OMB Green Book taxonomy is labor-intensive and prone to inconsistency.
Detailed example
Classification model for tagging OMB and OIG audits and recommendations. This will be used for internal operations and managing the audit process.
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
Consistent classification improves audit tracking, enables better trend analysis, streamlines reporting to OMB and OIG, and reduces staff time spent on categorization.
Audit / financial statement impact
Not high impact: This AI system does not meet the criteria of any of the six pillars that make up High Impact AI in Memorandum M-25-21.
Controls / human review
ATO: Yes; PIA: Not publicly available
Data needed
Internal data from Integrity coded by OSMEI staff according to the OMB Green Book taxonomy.