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Henrico County Government·Virginia

26-2948-4JEC Artificial Intelligence Technologies and Intelligent Automation Solutions for Government

Closes 6/2/2026$500k – $5MRequest for Proposal
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Description

The County of Henrico, Virginia, on behalf of the GovMVMT Purchasing Cooperative and its member agencies, is seeking qualified firms to enter into one or more Master Agreements to provide a full suite of artificial intelligence (AI) technologies and intelligent automation solutions. The goal is to establish a flexible, scalable framework that can support a variety of governmental functions, from data analytics and predictive modeling to workflow automation and citizen services. Interested vendors must demonstrate technical expertise, proven AI implementations, and the ability to deliver ongoing support and customization. • Deliver AI software platforms, tools, and services tailored to government use cases. • Provide implementation, integration, training, and maintenance services. • Offer scalable licensing or subscription models under a Master Agreement structure. • Support compliance with security, privacy, and accessibility standards. • Participate in a competitive selection process with a submission deadline of June 2, 2026.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Jon Creger

Key dates

Opened
4/22/2026
Closes
6/2/2026

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
541511
Solicitation №
RFP-118658

Budget estimate

$500,000 – $5,000,000

No explicit contract value is disclosed. For a county‑wide AI Master Agreement covering multiple agencies, typical budgets range from a few hundred thousand dollars for pilot deployments up to several million dollars for comprehensive, multi‑year implementations. Assuming the County will award multiple contracts under the agreement, a reasonable estimate would be between $0.5 million and $5 million, depending on the scope of services, licensing models, and scale of deployment.

AI estimate from the solicitation

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