Custom AI/ML solutions for government & public sector industry
Custom AI and ML for federal, state, and local government plus public agencies. Citizen services automation, fraud detection, document processing, and policy analytics — built for procurement compliance.
Where AI fits across agency services, casework and records
AI models and assistants for citizen services, fraud detection, records, permitting and policy work.
Citizen Services Automation
Multi-channel intake, eligibility screening, and case status with audit trails that satisfy state and federal oversight.
Fraud, Waste & Abuse Detection
Scoring for procurement collusion, benefits fraud and improper payments, with every flag sent to an investigator for review.
Document Processing at Scale
OCR, classification, entity extraction, and routing for forms, FOIA requests, and regulatory filings.
Policy Analysis & Drafting
Comment-corpus summarization, statutory cross-reference, and impact-analysis LLMs for rulemaking.
Permitting & Licensing Workflow
Smart-form pre-fill, deficiency detection, and review-time prediction across permit, license, and grant pipelines.
Workforce & Operations Analytics
Time-to-resolution forecasting, capacity planning, and FOIA-response throughput models.
Capabilities across the government & public sector value chain
Citizen Services & Case Management
- Multi-channel citizen intake (web, phone, kiosk, mobile)
- Eligibility screening for benefits and program enrollment
- Case-routing and triage classifiers
- Multi-language and accessibility-compliant LLMs
Fraud, Waste & Abuse Detection
- Procurement collusion and bid-rigging detection
- Benefits fraud and improper-payment scoring
- Identity verification and synthetic-identity detection
- Anomaly detection in payments and grant disbursements
Document Processing & Records
- OCR and entity extraction from forms and filings
- FOIA / open-records request routing and redaction
- Records classification under retention schedules
- Multi-language translation and summarization
Procurement, Policy & Workforce
- Public-comment corpus analysis for rulemaking
- Permitting and licensing workflow automation
- Workforce capacity and FOIA throughput modeling
- Statutory and regulatory cross-reference LLMs
How benefits-fraud scoring works for a state agency
In a state human-services agency, every benefits application goes through identity and eligibility checks before a caseworker can approve it. We build identity-verification scoring, behavioral anomaly detection on application velocity and synthetic-identity classifiers that score each application against the agency’s own fraud patterns, with every model decision documented for OIG review. Caseworkers and fraud investigators open each flagged application with the risk drivers and supporting evidence already in place, then make every approval, denial and referral decision themselves.
See ML modeling →Speak with a government & public sector AI expert
A 30-minute scoping call. We come prepared with your service lines, your citizen case volumes, and a directional read on which workflows are worth automating first.
Book a Strategy Session- Citizen services automation with multi-channel intake
- Benefits fraud and procurement collusion detection
- FOIA / open-records routing and automated redaction
- Smart-form pre-fill and permitting workflow automation
- Public-comment analysis and rulemaking impact LLMs
- FedRAMP / GovRAMP-compliant ML platform deployment
Frequently Asked Questions
Yes. The platform deploys into FedRAMP Moderate and High, GovRAMP (formerly StateRAMP) and DoD Impact Level 4 / 5 / 6 environments on a cloud provider that holds the matching authorization, and into configurations that follow the CJIS Security Policy, all inside your agency’s own authorization boundary. Each build includes the ATO (Authority to Operate) documentation set: SSP, POAM, control matrices and continuous-monitoring evidence. We build for the review agency programs go through, including DHS, GSA and state CIO/CISO requirements.
Models intended for public-facing decisioning ship with bias audits, model cards, and decision-explainability artifacts that satisfy OMB M-25-21 (which replaced M-24-10 in April 2025), Executive Order 14179, and applicable state AI accountability laws. We support both pre-deployment impact assessments and ongoing monitoring, plus the public-disclosure templates many agencies are now required to publish. Executive Order 14365, signed in December 2025, pushes the opposite direction: it created a DOJ AI Litigation Task Force to challenge state AI laws the administration views as overly restrictive and ties some federal funding to state deregulation. States still enacted 109 AI laws by July 2026, trailing 2025's pace, so state rules keep applying even as the federal preemption fight plays out in court.
Yes. Models read from COBOL/CICS mainframes, AS/400, Oracle / DB2 / SQL Server databases and SAP / Workday / PeopleSoft ERPs through standard connectors. For green-screen systems, we use API gateways and event-driven middleware so the AI layer adds value without forcing legacy modernization upfront.
Yes. The underlying ML platform (data ingest, feature store, model registry, monitoring, ATO documentation) is reusable across government tiers. Domain models differ — federal focuses on security and policy analysis, state/local on benefits and permitting, education on enrollment and outcomes — but most multi-tier governments and integrators run one shared stack with multiple model families.
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Ready to talk government & public sector AI?
Start with a 30-minute strategy session. We come prepared with a directional read on your operation and a scoped proposal.