MirBot

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

2024-10 (month precision)Source: Oct-24

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Administrative Functions

Operational functions

Document processing and extraction Derived by keyword rules; see methodology

Problem the AI is intended to solve

The AI tool addresses the challenge of efficiently and consistently processing incoming study PDFs by automatically extracting key information needed for grant review workflows.

Expected benefits

The AI tool helps maintain continuity in the grant review process by ensuring consistent extraction and presentation of key study information, even as experienced staff retire or transition. This reduces the training burden on new team members and preserves institutional knowledge through standardized workflows.

System outputs

The system produces an indexed and preprocessed version of each submitted PDF, enabling context-aware question-answering by the AI. A predefined set of questions is automatically asked to extract relevant information from the document, which is then used to populate the grant prior approval review form details for the associated study.

Technology

AI classification

Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.

System name(s)

Not reported

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)

Technatomy Axle

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

Yes

Privacy Impact Assessment

Not reported

Authorization to Operate

No

Demographic features

k) None of the above

Training and evaluation data

The AI was trained with existing study PDFs to help the AI properly identify the structure of the PDF files. No PHI from the studies were in these documents, just details about the study and request details.

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.

Potential impacts and how they were identified

Not reported