IIIAC Operational Generative AI & Workforce Enablement Suite
- Client
- Department of Defense · U.S. Army
- RFP Number
- AI-1301
- Posted
- 10/3/2026
- Category
- Artificial Intelligence and Machine Learning
- Budget
- Looking for Proposals
- NAICS
- —
- Set-aside
- —
- Contact
- Sean Cairney
Description
AI GeneratedThe IIIAC Operational Data Team requires market research information for an operational generative Artificial Intelligence training and workforce enablement suite solution. The required scope includes delivering a modular, tiered generative AI training program structured into three primary role-based tracks that teach prompt engineering, AI agent construction, and secure LLM deployment. Instructors must demonstrate subject matter mastery and familiarization with DoD Cloud Computing Security Requirements Guide standards, with classroom delivery occurring within 15 miles of Fort Hood, Texas. Only onshore USA organizations with active SAM.gov registrations are eligible to respond. Interested vendors must submit searchable PDF capability statements addressing curriculum adaptability, environment experience, past performance, market research questions, and a separate non-binding budgetary estimate by October 7, 2026, at 16:00 EST via email to [email protected] and [email protected]. All questions must be submitted via email to Travis Gerdes by October 6, 2026, at 12:00 EST. As a Request for Information, the buyer will not award a contract or evaluate proposals for award from this notice.
Official SAM.gov notice
- Solicitation number
- W56ZLWRFI0001
- Agency
- Department of Defense
- Buying office
- Dept of the Army › 0418 AQ HQ Contracting SUP
- Notice type
- Sources Sought
- Responses due
- Oct 7, 2026, 4:00 PM ET
- Posted on SAM.gov
- Oct 2, 2026
- Place of performance
- Fort Hood, TX, 76544
- Contracting contact
- Sean Cairney
sean.p.cairney.mil@army.mil
+1 928-989-4473 - Additional contact
- Travis Gerdes
travis.m.gerdes.mil@army.mil
Read the official notice description
REQUEST FOR INFORMATION (RFI)
Operational Generative AI Training & Workforce Enablement Suite
THIS IS A REQUEST FOR INFORMATION (RFI) ONLY. THIS IS NOT A REQUEST FOR QUOTATION (RFQ), REQUEST FOR PROPOSAL (RFP), OR INVITATION FOR BIDS (IFB). THIS NOTICE IS FOR MARKET RESEARCH AND PLANNING PURPOSES ONLY.
1. RFI information
RFI Title
Operational Generative AI Training & Workforce Enablement Suite
Agency or Organization
IIIAC Operational Data Team
RFI Number
NAICS Code & Size Standard
Product Service Code
Response Due Date & Time
October 7, 2026, at 16:00 EST
Submission Email
Contracting Point of Contact
MSG Travis Gerdes
2. Purpose
The purpose of this Request for Information is to conduct market research and obtain information from industry regarding the availability, capabilities, delivery approach, and estimated pricing for a role-tailored Operational Generative AI Training and Workforce Enablement Suite. The Government will use the information received to understand the commercial marketplace, identify capable sources (including small businesses across socioeconomic categories), and develop or refine its acquisition strategy, Performance Work Statement (PWS), and security architecture requirements.
3. Background
Modern defense operations require rapid, secure, and disciplined integration of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) across strategic, operational, and tactical echelons. Defense components require workforce upskilling to safely leverage foundation models and autonomous agent architectures without exposing sensitive data, breaching classification boundaries, or succumbing to adversarial manipulation such as prompt injection.
Current commercial AI courses focus heavily on commercial enterprise workflows, corporate revenue generation, and unaccredited public cloud software tools. The Government requires an operationalized, defense-specific curriculum and laboratory execution framework configured explicitly for deployment across Impact Level 5 (IL5) and Impact Level 6 (IL6) cloud environments and isolated, air-gapped enclaves.
4. Description of the Anticipated Requirement
The Government anticipates acquiring a modular, tiered Generative AI training program structured into three primary role-based tracks. The first should equip leadership to identify high-impact, low-risk use cases for Generative AI and impart understand the unique security and operational constraints of deploying LLMs in a DoD context. It should teach prompt engineering, developing mastery in controlling and directing accredited LLMs for repeatable, reliable outputs, teach how to build a library of pre-approved, tested prompts for common mission tasks and how to test for and mitigate prompt injection and data leakage. Finally, the program needs a course that teaches building functional AI agents that can perform multi-step tasks and integrating LLM-driven agents with other secure, mission-critical applications and APIs.
Track / Role
Focus / Target
Cohorts / Year
Students / Cohort
Track 1: Generative AI for Mission Leaders
Executive & Command Track
4
50-75
Track 2: Applied Prompt Engineering for Mission Operations
Practitioner Track
12
20–25
Track 3: Autonomous Agent Architecture & Mission Systems Integration
Technical Developer Track
4
15–20
4.1 Delivery Schedule & Place of Performance
Delivery Schedule: Base year of twelve (12) months with four (4) optional twelve-month renewal periods.
Place of Performance: Classroom or lecture hall within 15 miles of main Ft. Hood, TX. The classroom or lecture hall can be on or off main Fort Hood, TX as long as it is within the 15 mi radius.
4.2 Security & Personnel Requirements
Personnel Clearances: None.
Facility Clearance (FCL): None.
Instructor Qualifications: Instructors must demonstrate technical subject matter mastery and familiarization with DoD Cloud Computing Security Requirements Guide (CC SRG) standards.
5. Anticipated Acquisition Information
The following table outlines the preliminary acquisition strategy and planning parameters:
Estimated Period of Performance
One (1) 12-month Base Period, plus four (4) 12-month Option Periods (5 Years total)
Estimated Award Date
Unknown
Anticipated Contract Type
Firm-Fixed-Price (FFP)
Potential Contract Vehicle
Unknown
Potential Set-Aside
To be determined based on market research responses (Small Business Set-Aside under review)
6. Information Requested from Vendors
Interested vendors should submit both a capability statement and a separate non-binding budgetary Rough Order of Magnitude (ROM) estimate. The response should provide enough information for the Government to assess the vendor's ability to meet the anticipated requirement.
6.1 Company Information
Please provide the following administrative and organizational details:
Company Name, Address, and Website.
Unique Entity ID (UEI) and CAGE Code.
Primary Point of Contact (Name, Title, Phone, Email).
Relevant contract vehicles, schedules, or Government-wide acquisition contracts
Confirmation of active registration in the System for Award Management (SAM.gov).
6.2 Capability Statement
Please address your organization’s technical and operational capabilities in the following areas:
Curriculum Adaptability: Address the ability to deliver the three modular tracks with defense-specific vignettes.
Environment & Security Integration: Experience with IL5, IL6, and air-gapped environments.
Instructional Cadre Qualifications: Availability of cleared and qualified instructors.
Relevant Past Performance: Summaries of up to three (3) similar contracts.
Risks and Dependencies: Identification of Government-Furnished Information (GFI) / Government-Furnished Equipment (GFE), cloud dependencies, and technical hurdles.
6.3 Budgetary Quote
Please provide a non-binding budgetary estimate addressing the following cost elements:
Estimated cost per cohort or per student for each Track.
Curriculum customization and lab configuration costs.
Standard commercial terms, minimums, and discounting.
7. Responses to Government Questions
To assist the Government in refining the acquisition strategy, please provide direct responses to the following market research questions:
Commercial Availability: Does your company offer a Commercial Off-the-Shelf (COTS) curriculum, or does this require extensive customization?
Lab Infrastructure: Can you integrate Government-Furnished Cloud Tenancies?
Security Constraints: What is the lead time required to staff instructional personnel?
Contractual Structure: What contract structure best reflects standard commercial practice?
Small Business Viability: Can your firm perform at least 50% of the cost of contract performance as the prime contractor?
7.1 Response Format and Submission Instructions
All responses must adhere to the following submission guidelines:
Due Date and Time: October 7, 2026, at 16:00 EST
Submission Method: Electronic submission via email to [email protected] and [email protected].
Email Subject Line: RFI Response: Operational GenAI Workforce Suite - [Vendor Name]
File Format: Searchable Adobe PDF format; Budgetary ROM may be submitted in PDF or Microsoft Excel (.xlsx) format.
Questions Due: October 6, 2026, at 12:00 EST via email to the POC [email protected]
8. Proprietary Information
Vendors should clearly mark proprietary, confidential, or restricted information. The Government will handle marked information in accordance with applicable law and regulation. Vendors should avoid submitting classified information or unnecessary personally identifiable information.
9. RFI Notices and Limitations
No solicitation or award. This RFI is not a solicitation. It is not an RFQ, RFP, or IFB. The Government will not award a contract based on this RFI or accept a response as an offer. However, the contracting office may notify all interested vendors who responded to this RFI if the RFI resulted in a subsequent Solicitation.
No commitment. This RFI does not commit the Government to issue a solicitation, make an award, use a particular acquisition strategy, or procure any supply or service.
No reimbursement. The Government will not pay for information submitted in response to this RFI or for costs incurred to prepare or submit a response.
Use of responses. The Government may use the information received to support market research, acquisition planning, requirement development, and discussions with other Government personnel or support contractors, subject to applicable safeguards.
No obligation to respond. Participation is voluntary. A vendor's decision not to respond will not prevent the vendor from competing for a future solicitation, if one is issued.
Future notice. Any future solicitation will be issued separately through the appropriate Government point of entry or contract vehicle. Vendors are responsible for monitoring those sources for updates.
THIS IS AN RFI AND NOT AN RFQ, RFP, OR IFB.
Source: SAM.gov contract opportunities data (U.S. federal public data).
Incumbent
No incumbent history found for this requirement. The notice does not cite a current contract, and no earlier award from this buying office matches it.
Source: USAspending.gov federal award data (U.S. federal public data). A contract is called the incumbent only when the notice or its documents cite it by number.
Verify important details
Document checkConfirm submission instructions and amendments with the issuing agency before responding.
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