AI FOR GOVERNMENT & PUBLIC SECTOR

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.
$3.70 / $1

ROI per dollar invested in generative AI per recent agency benchmarks.

35%

Budget cost savings over 10 years from AI-driven case processing.

$233–521B

Annual federal fraud loss — AI fraud-detection accuracy now 81–95% on procurement-collusion benchmarks.

Achieve immediate, organization-wide results

Six measurable outcomes across underwriting, claims, and actuarial functions — deployed in months, not years.

Citizen Services Automation

Multi-channel intake, eligibility screening, and case status with audit trails that satisfy state and federal oversight.

Fraud, Waste & Abuse Detection

Procurement collusion, benefits fraud, and improper payments. 81–95% accuracy on procurement-collusion benchmarks.

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

Fraud, Waste & Abuse Detection

Document Processing & Records

Procurement, Policy & Workforce

From the playbook

How a state agency cut benefits-fraud loss $47M and reduced citizen wait time 58%

A state human-services agency processing 2.4M annual benefits applications was losing an estimated $60–80M to fraud and improper payments — and facing legislator pressure over 14-day average wait times. We built a multi-model platform combining identity-verification scoring, behavioral anomaly detection on application velocity, and synthetic-identity classifiers tuned to state-specific fraud patterns. Confirmed fraud loss dropped $47M annually, citizen wait time fell from 14 days to 5.9 days through faster auto-approval of low-risk applications, and the agency passed an OIG audit with documentation of every model decision. The same platform now handles unemployment, SNAP, and Medicaid eligibility in parallel.

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Speak with a government & public sector AI expert

A 45-minute scoping call. We’ll come prepared with your appetite, your loss-cost benchmarks, and a directional read on which models move the needle on your line of business.

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    Frequently asked questions

    Can your platform run in FedRAMP / StateRAMP / IL4–IL6 environments?
    Yes. We deploy in FedRAMP Moderate and High, StateRAMP, DoD Impact Levels 4 / 5 / 6 (with appropriate cloud partner), and CJIS-compliant configurations. ATO (Authority to Operate) packages ship with every deployment: SSP, POAM, control matrices, and continuous-monitoring evidence. We've supported agency programs through DHS, GSA, and state CIO/CISO review.
    Models intended for public-facing decisioning ship with bias audits, model cards, and decision-explainability artifacts that satisfy OMB M-24-10, EO 14110, 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.
    Yes. We've shipped models that 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.

    Explore AI/ML solutions for government & public sector

    Ready to talk government & public sector AI?

    Start with a 45-minute strategy session. We come prepared with a directional read on your line of business and a scoped proposal.