Acquisition support: co-drafting acquisition packages

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

2024-12 (month precision)Source: Dec-24

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Procurement and Financial Management

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

How can ACF acquisition teams more efficiently draft acquisition packages? In addition to tailored performance work statements (PWS), acquisition packages include multiple documents that often require information based on the PWS. There are also instances where a recompete is issued that largely follows a previous contract, with some updates to volumes. Different contract awarding agencies have different formats. ACF's acquisition teams therefore commonly need to repackage information.

Expected benefits

Increased efficiency in preparing acquisition packages so that more time is spent on the substance of scoping contracts and less time on rote drafting

System outputs

Draft language for various parts of an acquisition package based on user-provided context and direction. For instance, based on a provided set of task narratives, a user may ask a large language model to draft the table of deliverables. Based on a draft set of requirements, a user may ask the large language model to provide an initial suggestion for organizing tasks. Based on a copy of a previous modification memo and an executed contract, a user may ask a large language model to draft a new modification memo to exercise the next option year.

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

ACF Credal, Ask Sage (decommissioned), Microsoft Copilot Chat

Custom-developed code

No

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)

Credal, Ask Sage, Microsoft

Vendors (standardized)

MicrosoftCredalAsk Sage

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

www.hhs.gov ↗

Authorization to Operate

Yes

Demographic features

k) None of the above

Training and evaluation data

RAG implementation using commercially-available LLMs and user-provided context on acquisition needs

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