Amendment 001_RFI_AI-LLM-ML Service Acquisition and Program Management Integration.pdf

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Request for Information - AI/LLM/ML Service Acquisition & Program Management Integration
Solicitation number
FA489025RFI0001
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This is a Request for Information (RFI) issued by the Department of the Air Force Headquarters Air Combat Command Acquisition Management and Integration Center (HQ ACC AMIC) seeking 8(a) contractors with innovative AI, Large Language Model (LLM), and Machine Learning (ML) solutions to streamline service acquisition and program management processes. The RFI aims to gather industry feedback to help develop a potential Performance Work Statement, focusing on key areas including automation of repetitive tasks, enhanced data analysis, improved communication, strengthened requirements management, resource allocation optimization, technology integration, and continuous software improvement.

Responses must be submitted via email to viviana.castillo_ramirez@us.af.mil and camilla.funk@us.af.mil by 09 June 2025 at 2:00 PM EST, limited to 4 pages with 12" font and 1" margins. The response should include company details, experience in AI/LLM/ML technologies, previous project examples, proposed integration approach, and any additional relevant information. The place of performance will be in Hampton, VA, with travel reimbursed according to regulations. Importantly, this is an information-gathering RFI only, does not constitute a Request for Proposal, and does not commit the government to contract for any services.

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DEPARTMENT OF THE AIR FORCE

HEADQUARTERS AIR COMBAT COMMAND

ACQUISITION MANAGEMENT AND INTEGRATION CENTER

JOINT BASE LANGLEY-EUSTIS VA

Agile Combat Power

REQUEST FOR INFORMATION

HQ ACC Acquisition Management and Integration Center (HQ ACC AMIC)

AI/LLM/ML Service Acquisition & Program Management Integration

1. Description The purpose of this requirement is to provide Artificial Intelligence (AI), Large Language Models (LLM), and Machine Learning (ML) solutions and support to the HQ Air Combat Command (ACC) Acquisition Management and Integration Center (AMIC).

THIS IS A REQUEST FOR INFORMATION (RFI) ONLY. This RFI is issued solely for information and planning purposes – it does not constitute a Request for Proposal (RFP) or a promise to issue an RFP in the future. This request for information does not commit the Government to contract for any service whatsoever.

Further, the Air Force is not currently seeking proposals and will not accept unsolicited proposals. Responders are advised that the U.S. Government will not pay for any information or administrative costs incurred in response to this RFI; all costs associated with responding to this RFI will be solely at the interested party’s expense. Not responding to this RFI does not preclude participation in any future RFP, if any is issued.

2. Scope The Headquarters Air Combat Command Acquisition and Management Integration Center (HQ ACC AMIC) is seeking 8(a) contractors with innovative solutions to streamline processes, reduce costs, and accelerate service acquisition and program management through the integration of Artificial Intelligence (AI), Large Language Models (LLM), and Machine Learning (ML) technologies. The goal is to enhance efficiency, improve data analysis, automate tasks, and enable predictive insights to optimize resource allocation and decision-making processes. In order to facilitate collaboration and knowledge transfer, this effort will require the company to provide an employee located at AMIC who will serve as a technical expert on proposed solutions. This individual will work closely with AMIC personnel to ensure seamless integration and alignment with organizational goals.

The objective of this RFI is to gather information from industry experts on AI/LLM/ML solutions that can effectively address the challenges faced by AMIC in service acquisition and program management. Industry feedback will help inform the development of a Performance Work Statement (PWS) for a potential contract opportunity.

Key Areas of Interest:

1. Automation of repetitive tasks

2. Enhanced data analysis and predictive capabilities

3. Improved communication and collaboration

4. Strengthened requirements generation and management

5. Optimization of resource allocation

6. Integration of technology into business practices

7. Continuous improvement of software as needs, requirements, and regulations change

The place of performance will be in Hampton, VA. Additionally, any travel will be reimbursed in accordance with travel regulations.

3. Requested Information

Please respond to this RFI with sufficient detail explaining your capabilities and capacity to satisfy the requirement. At a minimum, a response should contain the following information, on 4 pages or less, in no less than 12" font, with 1" margins:

1. Company name, address, small business status, and point of contact information.

2. Description of the company's experience and expertise in AI/LLM/ML technologies.

3. Examples of previous projects or solutions that demonstrate the company's ability to address the objectives outlined in this RFI.

4. Proposed approach to integrating AI/LLM/ML solutions with existing systems and workflows.

5. Any additional information that may be relevant to the problem statement and objectives.

4. Responses Responses shall be submitted via email only to HQ ACC AMIC/PKCC at viviana.castillo_ramirez@us.af.mil and camilla.funk@us.af.mil no later than 09 June 2025 at 2:00 PM EST. Please clearly label all proprietary information included in your response documents. Please be advised that all submissions become Government property and will not be returned.

5. Questions HQ ACC AMIC/PKCC is not seeking or accepting questions regarding this RFI.

6. Summary This is a Request for Information only. All capability statements/responses received will help AMIC further define the requirement and identify the appropriate sources that can provide AI/LLM/ML solutions and support services.

The information provided in the RFI is subject to change and is not binding to the Government. The Air Force has not made a commitment to procure any of the services discussed, and release of this RFI should not be construed as a commitment or as an authorization to incur cost for which reimbursement would be required or sought.

1. Description
2. Scope
3. Requested Information
4. Responses

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