Acquisition support: co-drafting acquisition packages
Description
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.
Detailed example
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.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Increased efficiency in preparing acquisition packages so that more time is spent on the substance of scoping contracts and less time on rote drafting
Controls / human review
ATO: Yes; PIA: To be posted on https://www.hhs.gov/pia/index.html, pending HHS OCIO action
Data needed
RAG implementation using commercially-available LLMs and user-provided context on acquisition needs