Market Survey - Controller Training Solutions (CTS) II
Contract Overview
Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
AI Contract Overview
The Federal Aviation Administration is issuing this Request for Information to gather industry feedback on a new acquisition strategy for Air Traffic Controller training support services. The program encompasses classroom instruction, simulation laboratory support, and curriculum development across the FAA Academy and over 300 field facilities nationwide. The agency is specifically seeking guidance on transitioning from a traditional Time and Materials contract structure to a firm-fixed-price model in alignment with Executive Order 14402 to improve efficiency and cost control. The FAA aims to identify a contract structure that maintains high training standards while mitigating performance risks and cost overruns. A primary focus of this inquiry is how to incentivize contractors to integrate innovative technologies, such as AI-driven adaptive learning and advanced simulations, without requiring frequent or complex contract modifications. This is an informational request to support future contracting strategies and is not a formal request for proposals.
General Info
Agency
NAICS
Place of Performance
DC, USASet-Aside
Documents
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Timeline
Response Deadline
Organization & Contact Information
Full Description
This Request for Information (RFI) for Air Traffic Controller (ATC) training is being issued in accordance with the Federal Aviation Administration (FAA) Acquisition Management System (AMS) Policy 3.2.1.2.1. Responses to this RFI will be used for informational purposes only to support the development of a contracting strategy for ATC training. The information will not be released except as required under the Freedom of Information Act (FOIA). Proprietary information will be protected if appropriately marked. This is not a Screening Information Request or Request for Proposal.
The purpose of this announcement is to obtain industry feedback on an updated acquisition strategy as well as the application of innovative training technologies and models for the next generation of ATC Training Support Services program.
Historically, these complex training services—encompassing institutional classroom instruction, simulation laboratory support, and curriculum maintenance and development at the FAA Academy and field facilities—have been procured using a Time & Materials (T&M) contract structure for everything other than Program Management activities. Currently, the contract supports two primary locations for instruction:
- FAA Academy (~40% of value under T&M): Centralized foundational training and workforce development.
- Field Facilities (~60% of value under T&M): Localized delivery across 300+ nationwide sites (EnRoute centers, TRACONs, and airport control towers).
Executive Order 14402 “Promoting Efficiency, Accountability, and Performance in Federal Contracting,” directs Federal agencies to prioritize fixed-price (FP) contracts with performance-based considerations to improve efficiency, accountability, and cost control in government procurement. In alignment with this policy, the FAA intends to transition to a firm-fixed-price (FFP) contract structure for its ATC training support requirements.
The FAA seeks specific industry feedback on how to best structure a future ATC training contract as a FFP vehicle to ensure the continued delivery of world-class training while mitigating cost overruns and performance risks. Additionally, the FAA requests industry feedback on designing a FFP structure that incentivizes contractors throughout the period of performance to continuously identify, evaluate, and integrate innovative methods, technologies, tools, and curricula (such as but not limited to advanced simulation, AI-driven adaptive learning, or updated instruction techniques) without requiring costly or complex contract modifications.
Related announcements include: CTS-II-MarketSurvey-001 and 693KA8-25-R-00013
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