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Call for Solutions - Enterprise 25-01 Rev 02.pdf

Posted: May 13, 2025 • Type: .pdf • Size: 0.33MB
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Overview

Summary
This call for solutions is issued by the army training information system (atis) for the army training management capability (atmc), designated as project number enterprise_25-01.

the solicitation, identified by number w9128z-25-s-a002, invites organizations to submit solution briefs by may 16, 2025, at 1200e.

the purpose of this initiative is to develop a prototype that addresses current deficiencies in army training management, particularly the lack of integrated and automated tools that hinder unit readiness and operational efficiency. the atis aims to streamline training processes in alignment with established army regulations and data goals.

the document outlines specific desired attributes for the proposed solution, including capabilities for training scheduling, records management, data analysis, integration with existing software systems, identity management, and data migration from legacy systems.

key features should facilitate collaborative planning, automate training records documentation, provide analytical dashboards for monitoring training proficiency, and ensure secure access to department of defense resources.

the evaluation criteria for submissions prioritize technical merit, viability within dod constraints, feasibility of implementation, desirability from an end-user perspective, adherence to schedule requirements, and cost-effectiveness.

additionally, submissions demonstrating innovative commercial capabilities will be favored. it also indicates that any awarded prototype agreement may lead to follow-on production contracts without further competitive procedures.

offerors are instructed to limit their solution briefs to four pages and include a rough order of magnitude (rom) for estimated costs associated with supporting 40,000 annual users. non-government advisors may assist in evaluating submissions, and the government reserves the right to award multiple contracts or none at all based on the responses received.

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