Artificial Intelligence (AI) Contact Center Solutions
Closed Pre-Solicitation Posted
- Solicitation number
- RFIAICCS121925
- Agency
-
Federal Acquisition Service
General Services Administration
- Responses due
- Set-aside
- Total Small Business
Opportunity facts
- NAICS code
- 561422 Telemarketing Bureaus and Other Contact Centers
- PSC
- R499 Support- Professional: Other
- Place of performance
- Washington, District of Columbia, United States
- Points of contact
Notice details come from SAM.gov. Updated .
About this opportunity
The General Services Administration (GSA) Federal Acquisition Service is seeking industry information on artificial intelligence (AI)-enabled contact center solutions to support multi-agency government operations, including virtual voice agents, chatbots, generative AI, and agentic AI technologies. The government's primary objectives are to understand current market capabilities for autonomous customer service delivery and to obtain vendor feedback on a draft Performance Work Statement prior to solicitation finalization. Key requirements include the ability to autonomously handle Tier 0 and Tier 1 interactions across multiple communication channels (voice, chat, email, and SMS), support multilingual capabilities in English and Spanish, maintain compliance with federal security and privacy regulations including FedRAMP authorization, and demonstrate measurable AI resolution rates that minimize human intervention. The government is particularly interested in evaluating vendors' technical architecture, system integration capabilities, knowledge management approaches, and previous deployment metrics from similar government or enterprise environments. Responses to this Request for Information (RFI) are due by January 20, 2026, and this pre-solicitation notice serves as an opportunity for industry to shape the final requirements before formal solicitation.
This procurement is designated as a Total Small Business set-aside, meaning only small businesses are eligible to compete for the contract award. The contract will be structured as a Time-and-Materials agreement with a 12-month base period followed by four optional 12-month renewal periods, establishing a potential five-year performance timeline for the selected contractor. The procurement targets support for multiple federal agencies including USAGov, Login.gov, GSA's Office of Awards, the Department of Health and Human Services, and the Department of State, indicating a government-wide scope of implementation. While specific budget information is not detailed in the pre-solicitation notice, the multi-agency, multi-year nature and advanced technology requirements suggest a substantial contract value. This RFI differs from the previous Government Experience Contact Center (gXCC) initiative and represents a distinct procurement focused specifically on next-generation AI capabilities for federal contact center operations.
Notice text
The Government is seeking information from industry on AI-enabled solutions to support government contact centers, including virtual voice agents, chatbots, and other advanced technologies (e.g., generative AI, agentic AI).
The purpose of this RFI is to:
- Understand the current market capabilities, emerging technologies, and approaches to delivering fast, accurate, and autonomous customer service. The Government’s objective is to identify AI capabilities that autonomously, or to the greatest extent possible, automate contact center interactions.
- Obtain feedback on an initial, incomplete draft of the Performance Work Statement (PWS). This version is provided for review and comment only; it does not represent a finalized requirement. Industry insight is sought to help shape, clarify, and strengthen the PWS prior to completion.
Please note this is different than the previous RFI for Government Experience Contact Center (gXCC) (Previously the PX Contact Center) Services BPA.
Files
| File | Type | Posted |
|---|---|---|
| AI Contact Center PWS_ Draft_Dec 2025.docx | DOCX document | |
| RFI_ AI Contact Center Solutions Dec 2025 (1).docx | DOCX document |
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