Management Concepts Leveraging AI Training SOW.docx
DOCX document 27 KB Posted
- Solicitation number
- 52000SP260026939
About this file
This is a Statement of Work (SOW) for a copyrighted training course on leveraging artificial intelligence for federal decision-making. The U.S. Coast Guard, Surface Forces Logistics Center, is seeking a sole-source purchase order with Management Concepts Inc. to provide virtual training to three Coast Guard personnel during August 17-18, 2026. The training must cover ethical implications of AI in analyzing federal datasets, federal data governance principles, Decision Support Systems (DSS) using AI, and strategies for implementing AI-leveraged solutions in federal government decision-making. Additional requirements include instruction on data privacy concerns, integration of AI into decision support systems, and effective implementation of AI solutions, utilizing case studies and real-world examples. Participants must receive a training certificate and pass an end-of-course examination upon successful completion.
The procurement is being conducted under Simplified Acquisition Procedures on a sole-source basis, with the government conducting market research to identify alternative sources capable of delivering a fully equivalent training program in scope, learning objectives, instructional depth, and curriculum delivery. Interested parties are invited to submit capability statements demonstrating their ability to meet the training requirements. The notice explicitly states this is not a Request for Quotation and the government does not intend to award based solely on responses to this notice. Supporting documentation includes a Sole Source Justification and a Sole Source Letter establishing the exclusive intellectual property rights of the course developer.
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Other files
| File | Type | Posted |
|---|---|---|
| Sole Source Letter Management Concepts - United States Coast Guard 07.15.26.docx | DOCX document | |
| JOTFOC 52000SP260026939 Redacted.pdf |
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Text version
Statement of Work
Leveraging Artificial Intelligence for Federal Decision-Making Training
1. GENERAL
1.1 Background
The Coast Guard is seeking training for three (3) United States Coast Guard personnel involved in data interpretation for decision-making, offering practical skills and regulation guidance in leveraging artificial intelligence to drive innovation and efficiency within the organization.
1.2 Scope
The vendor shall provide virtual training to three (3) Coast Guard personnel that explores leveraging artificial intelligence (AI) for data-driven decision-making within the federal government. Examining the importance of AI in analyzing federal datasets, discussing the ethical and regulatory frameworks governing AI, and learning about the opportunities and risks associated with AI in federal agencies while emphasis is placed on understanding dta privacy concerns, integrating AI into decision support system, and implementing AI-leveraged solutions effectively. Utilizing case studies, discussion, and real-world examples to gain a deep understanding of AI-supported data analytics to drive innovation and efficiency in federal agencies.
2. REQUIREMENTS
Training must include:
· Discuss the ethical implications of using artificial intelligence to analyze federal datasets.
· Implementing ethical and compliant utilization of AI in federal data analysis while adhering to individual agency data policies.
· Review principles of federal data governance to ensure effective evaluation and management of datasets within the context of federal agencies.
· Explore examples of Decision Support Systems (DSS) using AI.
· Identify appropriate strategies and process to implement and manage AI-leveraged solutions in federal government decision-making.
· Perform timing adjustments, along with blower and vertical drive inspections.
· Receive a training certificate upon the successful completion of the course and passing an end-of-course exam.
2.5 Delivery Location: Training to be provided on-line.
3. Period of Performance: 17-18 August 2026
File details come from the government source that posted it. Updated .