HHS · no agency ID · record R0883

AI Audit Resolution Assistant (AIARA)

Department of Health and Human Services · HHS/HRSA

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2024-07 (month precision)Source: Jul-24
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Other
Operational functions: Document processing and extraction, Chatbot or virtual assistant, Summarization, Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

The DFI PRF AIARA project leverages AI to streamline the single audit process. The team utilizes the Robotic Process Automation (RPA) to extract data from the Federal Audit Clearinghouse to create templates for both the audit notification and management decision letters, and to generate a comprehensive report of the auditee and its findings.

Expected benefits

Since its launch, the AIARA has successfully processed and resolved 73 audits. Automation has resulted in an estimated total of 276 hours of work saved. The AIARA has significantly enhanced both efficiency and consistency in the audit resolution process.

System outputs

HRSA utilizes generative AI to streamline the Single Audit resolution process and the creation of Management Decision Letters to formally close out and resolve Single audit findings. The AI Audit Resolution Assistant (AIARA) includes a vector database comprised of Single audit documents assigned to HRSA, creates a retrieval augmented generation which integrates with a large language model to intelligently summarize audit findings and recommendations, and provides chatbot capability and reduce the cognitive load on HRSA auditors for any audit-specific questions.

Technology

AI classification: Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
System name(s): IRMS - UiPath Automation Cloud Public Sector
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Mindpetal
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: No
Authorization to Operate: Yes
Demographic features: k) None of the above
Training and evaluation data: Single Audit report from FAC.gov
Federal Data Catalog: fac.gov

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported