Comprehensive Operations Review and a Scalable On-Prem Platform

Detailed Analysis

Ingest case files, incident reports, service tickets, and policy documents to reveal bottlenecks, backlogs, and quality gaps—using the records systems and workflows you already rely on.

Customized Solutions

Map our multi-level tenancy model (Agency → Department → Unit/Program) directly to your structure. Train and infer on your own infrastructure with role-based access, granular permissions, and complete audit trails suitable for oversight and compliance.

Proven Value, Delivered Securely

Casework & Investigations

Summarize large case files, highlight missing information, and surface similar precedents so teams can act faster without compromising due process.

Citizen Services & Contact Centers

Turn unstructured calls, emails, and tickets into prioritized, AI-assisted workflows while preserving strict access controls across departments.

Policy, Compliance & Oversight

Let staff query policies, regulations, and historical decisions in plain language, with every answer backed by traceable source documents and logged for review.

Secure On-Prem Deployment

Run AI inside government data centers or classified networks—no data egress, no shared public cloud. Enforce tenant isolation, RBAC, and full auditability for every interaction.

Proven Value, Delivered Securely

Patient Flow & Capacity

Predict admits/discharges, reduce bottlenecks, and raise bed/OR utilization.

Workforce & Scheduling

Forecast unit demand, align rosters, and lower overtime and agency spend.

Revenue Cycle Quality

Flag likely denials and missing documentation before submission.

Data Security & Governance

On-prem by design—no cloud, no data egress. Tenant isolation and full auditability.

CaliforniAI

Discussion : Private AI for Government & Public Sector

Take the first step toward your project goals with a complimentary 30-minutes consultation. In this session, we’ll discuss your requirements, answer your questions, and help you outline the best path forward.

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