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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
HHS · no agency ID · record R1024

PowerAutomate Delinquent Submissions

Department of Health and Human Services · HHS/NIH

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2025-07 (month precision)Source: Jul-25
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Administrative Functions
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Senior Auditors are required to spend significant time—approximately 25% of an FTE per auditor annually—on manually monitoring award recipients’ submission status, contacting recipients, providing oversight, and documenting compliance at multiple intervals leading up to the fiscal year end.

Expected benefits

By automating these processes, the AI will enable auditors to redirect roughly 25% of their time from low-value administrative tasks to high-skill activities that generate measurable impact, increasing efficiency, strengthening oversight, and sustaining our division’s annual ROI of approximately 600%. This will ultimately return more funds to NIH from award recipients, directly supporting the agency’s mission and benefiting the public through more effective use of federal resources.

System outputs

Each award recipient that has an audit requirement was built into a SharePoint list including company name, CAGE Code, FYE, CYE, auditor assigned, and oversight (Grants Management, contracting officer, etc). Multiple layers of stacked Power Automate check today's date versus FYE and CYE (for Final incurred cost submissions and Provisionals, respectively) and send email notification to the vendor 6 months before a submission is due. The automation copies the auditor and other government oversight, enters the date the communication was delivered. A second level program runs daily checking until we are 3 months away from the due date and then a similar process with a different email and instructions are delivered to the award recipient. Finally, another layer of Power Automate calculates when a submission is delinquent and notifies the company of the implications of late submission with auditor and Government Oversight on copy.

Technology

AI classification
Other
System name(s)
Not reported
Custom-developed code
No
Public source code
Not reported

Sourcing

How it was built
Developed in-houseSource: b) Developed in-house
Vendor (as reported)
Not reported
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
Not reported
Authorization to Operate
No
Demographic features
k) None of the above
Training and evaluation data
Data regarding NIH DFAS audited entities over prior year assignments.
Federal Data Catalog
Not reported

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