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  4. ›TE/GE Employee Plans AI Assistor RFI

U.S. Department Of The Treasury·District of Columbia

TE/GE Employee Plans AI Assistor RFI

Closes 7/7/2026$500k – $5MRequest for Information
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Description

The Internal Revenue Service (IRS) is conducting market research to identify commercially available and emerging Artificial Intelligence (AI) solutions that can enhance retirement plan compliance activities. The AI solution should be able to securely ingest and analyze structured and unstructured retirement plan data, interpret plan documents and applicable statutory and regulatory requirements, perform retirement plan calculations and compliance analyses, generate reports and workpapers, conduct scenario modeling, and integrate with enterprise systems. Some key points to consider include: • The AI solution should provide secure, explainable, and governed AI outputs. • The solution should be able to integrate with existing enterprise systems such as PegaSystems and Salesforce. • The IRS is interested in understanding the range of available solutions, including commercially available products and configurable AI platforms. • Respondents should describe their teaming approach and capabilities, as well as their solution's level of maturity. • The IRS has not established any requirements regarding teaming arrangements or acquisition strategy.

Attached files

Contact

Davida Patton

[email protected]

(240) 613-7306

Key dates

Opened
6/30/2026
Questions due
7/2/2026
Closes
7/7/2026

Last updated

Details

Type
Request for Information
Industry
Information Technology and Software Development
NAICS
541519
Solicitation №
26-40-APMO

Budget estimate

$500,000 – $5,000,000

The budget for this opportunity is difficult to estimate, as the document does not specify a particular budget or contract value. However, based on the scope of the project, which includes the development and implementation of an AI solution to enhance retirement plan compliance activities, the budget could potentially be in the range of $500,000 to $5 million. This estimate is based on the assumption that the project will require significant development and implementation efforts, as well as ongoing maintenance and support. Factors that may influence the likely payment range include the complexity of the AI solution, the number of users and stakeholders involved, and the level of customization required.

AI estimate from the solicitation

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