The U.S. Department of Government Efficiency (DOGE) is considering a future in which AI agents could perform tasks on behalf of citizens, potentially replacing the need to navigate individual federal agency websites, according to a Federal News Network report. 

According to the report, Amy Gleason, DOGE’s acting administrator, described the proposal at the November 5 Digital Services Coalition event in Washington, positioning the recently launched America.gov platform as an early phase in a broader modernization effort. 

Gleason described a progression from America.gov to an authenticated digital experience that could eventually allow AI agents to complete government-related tasks for users. A dashboard would show citizens what the agents were doing and provide visibility into the status of their requests.

Gleason, however, did not share an implementation timeline or a deployment plan.

From Government Websites to AI-Assisted Services

Gleason said America.gov currently does not provide users with data from outside the federal government. The next step, she explained, would be an authenticated experience, followed by AI agents capable of carrying out work on a user’s behalf, according to Federal News Network.

She also suggested that AI chatbots could eventually replace individual agency websites. Rather than requiring citizens to understand which department handles a particular service or navigate multiple portals, an AI-powered interface could help them complete tasks through a more unified experience.

Such a model would require systems to securely verify users, retrieve information from relevant government databases and coordinate actions across agencies. It would also need to provide clear records of what an agent has accessed or done, particularly when handling sensitive personal information or requests involving public benefits.

Agencies Face Talent, Procurement and Security Challenges

Gleason acknowledged that federal agencies face significant obstacles in moving toward this model. For example, many lack the technical talent needed to implement modern systems and are struggling with procurement, access to tools and the security implications of AI adoption.

She cautioned that agencies cannot simply pursue every new technology without considering whether it addresses a real operational need. Decisions about building or buying systems will also differ across departments.

Other officials at the event emphasized that digital modernization requires changes to processes and organizational practices alongside technology upgrades. 

Erica Evans, director of operations at the U.S. Digital Service, said government organizations often remain tied to traditional software delivery cycles, making it difficult to put product thinking and human-centered design into practice. 

Andi Fisher-Colwill, acting deputy CIO for policy and business management at the Department of Commerce, highlighted the need to connect information across disparate systems and support continuous improvement rather than treating modernization as a one-time project.

Data Integration and Governance Critical for the Transition

An AI agent that can act across federal services would require reliable access to information held by different agencies, clear permissions and safeguards governing what actions an automated system can take.

These requirements put data governance at the center of the proposed transformation. 

Agencies would need to establish who can access particular records, how information is shared, how agents’ actions are logged and who remains accountable when an automated process produces an incorrect result.

For chief data officers (CDOs), the proposal highlights the importance of interoperable data infrastructure and well-defined AI governance practices. Without consistent data standards and reliable connections between systems, an AI agent could struggle to provide accurate information or complete tasks across agency boundaries.