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Multi-Agent Agentic AI Workflow Development

Active

Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract, titled Multi-Agent Agentic AI Workflow Development, focuses on creating flexible and adaptable workflows powered by Agentic AI for prime contractors supporting AFRL Information Directorate projects. The primary objective is to design multi-agent orchestration using Large Language Model agents and frameworks like AutoGen or CrewAI to accelerate kill chains and improve decision-making within dynamic operational environments. The project will culminate in the delivery of a prototype Agentic AI workflow system. Managed under the Department of Defense and the FA8750 Afrl Rik agency, the contract falls under NAICS code 541715 and was posted on September 4, 2026.

General Info

Subcontract for developing multi-agent AI workflow prototypes to improve AFRL operational decision-making.

Agency

Department Of Defense → FA8750 Afrl RikView Agency

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)View NAICS

Place of Performance

NY

Set-Aside

NONE

Documents

This scope was carved out of FA875023S7008.

The full solicitation package (10 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

ADAPTIVE FUSION, & REASONING OF MULTI-SOURCE DATA (AFAR)

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Timeline

PostedSep 4

subcontract

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Organization & Contact Information

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AgencyDepartment Of Defense → FA8750 Afrl Rik

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Defense → FA8750 Afrl Rik

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Office AddressN/A

ContactsNo contact information available

Full Description

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Develops flexible, adaptable workflows powered by Agentic AI for prime contractors on AFRL Information Directorate projects. Designs multi-agent orchestration using LLM agents and frameworks such as AutoGen or CrewAI to accelerate kill chains and enhance decision-making in dynamic operational contexts. Delivers a prototype Agentic AI workflow system.

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