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U.S. Department Of Commerce·United States of America

NATO Business Opportunity: AI-Assisted Tabletop Exercise (TTX) Framework for Cyberspace Operations

Closes 6/18/2026$200k – $350kRequest for Proposal
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Description

The Headquarters Supreme Allied Commander Transformation (HQ SACT) is seeking industry support to develop an Artificial Intelligence (AI) assisted Tabletop Exercise (TTX) framework for cyberspace operations. The framework should include a Minimum-Viable Product (MVP) and support the end-to-end lifecycle of a cyberspace operations TTX/wargame. The contract will be awarded as a fixed-price contract with a base period of performance from the award date through 31 December 2026, and one option period may be added from January 2027 to June 2027. • The framework should support the development and execution of cyber operations tabletop exercises. • The framework should minimize human support to exercise products generation and role play through the use of Local Language Models (LLMs), Retrieval-Augmented Generation (RAG), and orchestrated Agentic-AI. • The MVP should include fully-functional sets of items, such as AI-assisted development of TTX artifacts, allocation of roles and responsibilities, and generation of AI-assisted role players. • The vendor should have previous and significant experience in delivering TTX/wargames in support of military operations, cyberspace operations, and implementation of AI-supported solutions.

Attached files

Contact

Lee Ann Carpenter

[email protected]

Key dates

Opened
6/9/2026
Closes
6/18/2026
Projected award
8/31/2026
Duration
6 months

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
541519
Solicitation №
RFP-ACT-SACT-26-66

Budget estimate

$200,000 – $350,000

The estimated total contract value, inclusive of options, is USD 350,000. This amount is likely to be the maximum budget, and the actual budget may be lower depending on the vendor's bid and the contract terms. The budget may be influenced by factors such as the complexity of the framework, the level of AI support required, and the vendor's experience in delivering similar projects.

AI estimate from the solicitation

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