Government & Public Sector

Government agencies process millions of documents. AI can handle the intake layer.

FOIA requests that sit in backlog for months. Permit applications that require manual completeness checks before any substantive review begins. Citizen inquiries that route to call centers for questions that are already answered in public documents.

We build AI systems for government agencies that handle the document intake, classification, and initial review layer — designed from day one for FedRAMP-authorized infrastructure, ATO documentation requirements, and Section 508 accessibility standards.

How we work

Tell us about your document intake workflow.

What we build.

Five specific AI workflows for government and public sector operations.

Document intake classification and routing

AI classifies incoming documents (applications, appeals, correspondence, forms) by type and urgency, and routes them to the correct team or case worker. Reduces manual triage time and the errors that come from paper-based routing.

FOIA request processing support

AI reads FOIA requests, searches document repositories for responsive records, flags documents containing exempt information for human review, and generates redaction recommendations. Reduces the backlog without reducing the human review required by law.

Permit and license application review

Check submitted applications for completeness, cross-reference with eligibility criteria, and generate a structured review summary for the responsible official. Reduces time from submission to decision without removing human approval.

Citizen FAQ chatbot

A RAG system trained on your agency's public-facing documents, regulations, and service guides answers citizen questions accurately with source citations. Reduces call center volume for information requests that do not require a caseworker.

Compliance and audit report generation

Pull data from case management systems and generate compliance reports, program performance summaries, and audit-ready documentation, at reporting cycle frequency, without staff assembling spreadsheets.

Who we build for.

Federal agencies with high-volume document intake workflows
State and municipal agencies managing permit and license backlogs
Public sector technology teams modernizing legacy document workflows
Government contractors building AI-enabled services for agency clients
Inspectors general and oversight offices managing FOIA and audit volumes

Who this isn't for.

Agencies without ATO sponsorship or security review capacity
Federal deployments require an Authority to Operate. We build systems designed for ATO review, but the agency's ISSO and authorizing official must sponsor the process. We cannot move faster than your security review timeline.
Projects requiring AI to make final administrative decisions
Government administrative decisions (benefit eligibility, permit approval, enforcement actions) require human decision-makers under administrative law. AI supports and accelerates that review; it does not replace it.
Agencies with no digital document management in place
AI document processing requires digitized documents. If your agency's records are primarily paper with no scanning or digitization pipeline, that infrastructure needs to be in place first.

Frequently asked questions.

Can your systems achieve FedRAMP authorization?: We build using FedRAMP-authorized cloud infrastructure (AWS GovCloud, Azure Government, Google Cloud for Government) and design systems with FedRAMP Moderate control families in mind. Achieving FedRAMP authorization for the application layer requires the agency's ATO process. We provide the architecture documentation and security control implementation evidence your AO needs. We do not hold FedRAMP authorizations ourselves.
What does the ATO process look like for an AI system?: The ATO process for AI systems follows the same NIST RMF framework as any other federal IT system: categorization, security controls selection, implementation, assessment, and authorization. AI-specific considerations include model versioning, training data provenance, and output monitoring. We document our system in the format your ISSO requires (SSP, ConMon plan, POA&M) and support the assessment phase.
How do you handle data sovereignty and on-premise requirements?: For agencies with data sovereignty requirements, we deploy on agency-controlled infrastructure or FedRAMP-authorized government cloud. For air-gapped environments, we design with self-hosted open-weight models that run without external API calls. On-premise deployments are scoped separately and typically carry a higher infrastructure cost.
How do you ensure accessibility compliance with WCAG 2.1 and Section 508?: All citizen-facing interfaces we build are tested against WCAG 2.1 AA criteria, which satisfies Section 508 requirements. We use semantic HTML, ARIA labels, keyboard navigation, and contrast ratios that meet or exceed the standard. We provide a VPAT (Voluntary Product Accessibility Template) with each citizen-facing deliverable.

Ready to modernize your document intake?

Tell us which intake workflow is creating the most backlog or the most staff burden. We will reply within one business day with a rough scope and price range.

Government agencies process millions of documents. AI can handle the intake layer.

What we build.

Five specific AI workflows for government and public sector operations.

Document intake classification and routing

FOIA request processing support

Permit and license application review

Citizen FAQ chatbot

Compliance and audit report generation

Who we build for.

Federal agencies with high-volume document intake workflows

State and municipal agencies managing permit and license backlogs

Public sector technology teams modernizing legacy document workflows

Government contractors building AI-enabled services for agency clients

Inspectors general and oversight offices managing FOIA and audit volumes

Who this isn't for.

Agencies without ATO sponsorship or security review capacity

Federal deployments require an Authority to Operate. We build systems designed for ATO review, but the agency's ISSO and authorizing official must sponsor the process. We cannot move faster than your security review timeline.

Projects requiring AI to make final administrative decisions

Government administrative decisions (benefit eligibility, permit approval, enforcement actions) require human decision-makers under administrative law. AI supports and accelerates that review; it does not replace it.

Agencies with no digital document management in place

AI document processing requires digitized documents. If your agency's records are primarily paper with no scanning or digitization pipeline, that infrastructure needs to be in place first.

Frequently asked questions.

Can your systems achieve FedRAMP authorization?

We build using FedRAMP-authorized cloud infrastructure (AWS GovCloud, Azure Government, Google Cloud for Government) and design systems with FedRAMP Moderate control families in mind. Achieving FedRAMP authorization for the application layer requires the agency's ATO process. We provide the architecture documentation and security control implementation evidence your AO needs. We do not hold FedRAMP authorizations ourselves.

What does the ATO process look like for an AI system?

The ATO process for AI systems follows the same NIST RMF framework as any other federal IT system: categorization, security controls selection, implementation, assessment, and authorization. AI-specific considerations include model versioning, training data provenance, and output monitoring. We document our system in the format your ISSO requires (SSP, ConMon plan, POA&M) and support the assessment phase.

How do you handle data sovereignty and on-premise requirements?

For agencies with data sovereignty requirements, we deploy on agency-controlled infrastructure or FedRAMP-authorized government cloud. For air-gapped environments, we design with self-hosted open-weight models that run without external API calls. On-premise deployments are scoped separately and typically carry a higher infrastructure cost.

How do you ensure accessibility compliance with WCAG 2.1 and Section 508?

All citizen-facing interfaces we build are tested against WCAG 2.1 AA criteria, which satisfies Section 508 requirements. We use semantic HTML, ARIA labels, keyboard navigation, and contrast ratios that meet or exceed the standard. We provide a VPAT (Voluntary Product Accessibility Template) with each citizen-facing deliverable.

Ready to modernize your document intake?

Tell us which intake workflow is creating the most backlog or the most staff burden. We will reply within one business day with a rough scope and price range.