Q

2.0

On Roadmap · Design Partners Open
🏗️Industrial Relations & Labor Agencies

Inspections that hit. Claims that close. Enforcement that holds up.

Workplace safety, workers' comp, wage & hour enforcement, apprenticeship, and unemployment insurance — augmented by an AI data foundation built for the audit posture labor agencies actually face.

xAQUA augments inspectors, adjudicators, wage analysts, and UI claims staff — it does not replace your inspection system, claims platform, or wage-claim case manager. It sits above them, federates queries across the stack, and turns plain-English intent into governed, court-defensible answers. Built for the audit posture labor agencies face from federal DOL, courts, and the public.

2–3×
Inspector hit-rate lift
3 wks
From kickoff to first use case
100%
Audit log on every action
xAQUA · Cezu — Inspection Targeting
👤
Show me employers in construction (NAICS 23) with workers' comp claim rates 2× peer average and at least one open wage claim — flag any with prior safety citations in the last 24 months.
🏗️
38 employers match.
12 with prior willful or repeat citations High Risk
7 with active wage claims and bonded payroll under the threshold
3 on apprenticeship watch list
Generate inspection-targeting package with prior history and apprenticeship cross-reference?
👤
Yes — and exclude any with active settlement agreements in the wage claim cycle.
Same foundation. Production-validated. The xAQUA UDP runs at a $300B+ public pension fund in fully private deployment. Industrial Relations is the same engine — packaged for the cross-bureau coordination labor agencies live with: safety, workers' comp, wage standards, apprenticeship, and unemployment.
The Challenge

Five+ bureaus, one employer. No shared view of who they are.

Labor agencies regulate the same employers across safety, workers' comp, wage standards, apprenticeship, and unemployment — but each bureau has its own system, its own data model, and its own institutional memory. A risk pattern in one bureau is invisible to the others.

🧩

Bureau Silos by Design

Cal/OSHA-equivalent safety inspections, WC claims, wage-claim case management, apprenticeship registration, UI tax — each has its own platform, its own vendor, and its own institutional knowledge. Cross-bureau questions take phone calls.

5+ bureau systems per employer
📊

Inspection Targeting Lacks Lift

Inspectors operate from yesterday's referral lists and hand-built spreadsheets. Cross-bureau signals — WC claim spikes, wage complaints, apprenticeship gaps — never reach the targeting team in time to matter.

Cross-signal targeting is rare
⚖️

Decisions Go to Court

Citations get appealed. WC determinations get litigated. Wage cases produce written orders. Every analytical decision needs to hold up under cross-examination — with full data lineage and authority trail.

Defensibility is non-negotiable
How It Works

One AI data foundation. Sits on top of what you already run.

xAQUA does not replace your systems of record. It does not bulk-copy your data. It federates queries with full authority enforcement — and every request is logged, scoped, and replayable.

DATA SOURCES xAQUA UDP — AI DATA FOUNDATION CONSUMERS Safety InspectionsCitations · penalties · historyWorkers' Comp ClaimsAdjudication · indemnity · medicalWage & Hour CasesClaims · awards · liensApprenticeshipRegistration · ratios · standardsUnemployment InsuranceClaims · benefits · employer taxEmployer RegistryNAICS · payroll · ownership 🐕 Cezu — Plain-English Concierge Routes intent · Checks authority · Hands off to agents SIX AI DATA AGENTS StewardMember 360° GovernanceCompliance EngineerPipelines AnalystCross-Q&A ScientistRisk · Patterns BIReports Vertical Semantic Layer Employer · Worker · Inspection · Citation · Claim · Award · Apprenticeship · Wage Determination Governance · DOL · Court Defensibility · Public Records Worker confidentiality · Settlement-aware · Public-records ready · Full audit Connectors — sits on your stack IMIS · WC EDR · Wage Claim Mgmt · UI · GovCloud · On-Prem InspectorsCross-bureau targetingAdjudicators (WC / Wage)Case context with historyUI Claims StaffEligibility & employer matchApprenticeship ProgramsCompliance & ratiosPolicy & ReportingFederal DOL submissionPublic Counter / WorkersPlain-language status xAQUA stores no employer or worker data. Federates queries across bureaus with worker-confidentiality enforcement at every step.
1
Federate across bureausSafety, WC, wage, apprenticeship, UI — federated at query time. No cross-bureau data warehouse to defend at the next public-records request.
2
Cross-signal targetingCezu routes intent. Agents correlate citation history, WC claim rates, wage complaints, and apprenticeship gaps in one query — surfacing patterns no single bureau sees.
3
Court-defensibleEvery figure traceable. Every authority decision logged. Every inspection or determination replayable for appeal, court, and oversight review.
Scope of Coverage

Across the full program landscape.

From front-line operations to federal reporting. xAQUA covers the operational, analytical, and oversight workload across the agency.

🦺
Workplace Safety
Inspections · citations
🏥
Workers' Comp
Claims · medical · indemnity
💵
Wage & Hour
Claims · awards · liens
🧰
Apprenticeship
Registration · standards
🪪
Unemployment Insurance
Claims · benefits · UI tax
📜
Prevailing Wage
Public works · DBA equiv.
🚫
Retaliation Cases
Whistleblower · 6310
🌾
Farm Labor & FLC
Farm-labor contractors
🏗️
Public Works
Bonded payroll · CMU
⚕️
Self-Insured WC
Self-insurance plans
🤝
Mediation & Conciliation
Labor disputes · CBA
📊
Federal DOL Reporting
BLS · OSHA · DOL grants
The Solution

Your AI Data Team — six agents, one platform.

Each agent is a specialist. Together they augment your front-line staff, analysts, and oversight team — without replacing the systems they already use.

📚
Cross-Bureau Employer 360°
AI Data Steward · SemantIQ · Entity 360

A unified, governed view of every employer across safety, WC, wage, apprenticeship, and UI — assembled at query time, with worker-confidentiality enforced and settlement-status respected.

Employer identity resolution across bureau systems and reorganizations
Linked ownership, payroll, and successor-liability tracking
Plain-English lookup for inspectors and adjudicators
🛡️
Worker Confidentiality & Settlement Governance
AI Data Governance · Qualix · SenseMask

Worker complaints stay confidential. Settlement-protected records stay sealed. Public-records-eligible data stays exportable. The compliance posture courts and federal DOL audits already require.

Worker-identity protection at query time
Settlement and confidentiality flags enforced
Public-records-ready exports with redaction trail
🎯
Cross-Signal Inspection Targeting
AI Data Scientist · ClickML

Score employers for inspection priority across bureaus. WC claim spikes + wage complaints + apprenticeship gaps + prior citations correlated into one risk view, with explainable feature attribution.

Cross-bureau risk scoring with peer benchmarks
Explainable inspection priority for assignment review
Bias monitoring and disparate-impact tracking
⚖️
Adjudication & Case Intelligence
AI Data Analyst · RAGConvo

Surface relevant prior decisions, settlements, and citations for adjudicators. Case history, prior counsel, and settlement-agreement context — assembled for the case file with citations.

Prior-decision and citation search in plain English
Settlement-agreement-aware case context
Case prep packaging with full citation trail
⚙️
Claims & Filing Engineering
AI Data Engineer · Composer

Stable, audited connectors across IMIS, WC EDR, wage-claim systems, and UI platforms. Schema-aware ingestion for new claim types, new federal data calls, and new bureau systems.

Federated query execution across bureau systems
Anomaly detection on claim volume and shape
Versioned change management with full lineage
📈
Outcomes, Equity & Federal Reporting
AI BI Specialist · Narratix · DataLens

Auto-assemble OSHA injury data, BLS submissions, federal DOL reporting, and equity dashboards. Track outcomes across worker cohorts and industries with bias monitoring.

BLS / OSHA / federal DOL reporting automation
Worker cohort outcome tracking with equity analytics
Auto-narrated executive summaries with citations
A Day in the Life

From a cross-bureau hypothesis to an inspection-ready package — in seconds.

A typical inspection-targeting flow. Same shape holds for adjudication case prep, UI cross-match, and prevailing-wage compliance.

FROM A CROSS-BUREAU HYPOTHESIS TO AN INSPECTION-READY PACKAGE A typical inspection-targeting flow. Same shape holds for adjudication case prep, UI cross-match, and prevailing-wage compliance. 💬 STEP 1 Plain English Targeting team asks Cezu a multi-bureau Q 🐕 STEP 2 Cezu Routes Picks the right agents, checks bureau authority 🛡️ STEP 3 Confidentiality Worker IDs masked, settlements respected 🎯 STEP 4 Cross-Bureau Score WC + wage + safety + apprenticeship correlated 📋 STEP 5 Inspection Package Risk score, history, cross-bureau context 🔍 STEP 6 Court Replay Every step defensible on appeal Total: under 5 seconds for the answer · Inspection package: under 2 minutes · Court-defensibility on every step
Use Cases

What teams ship on xAQUA.

Concrete workflows scoped at peer agencies. Each one is a single use case the platform unlocks — and the platform unlocks dozens more after the first.

🎯

Cross-Bureau Inspection Targeting

Score employers across safety, WC, wage, and apprenticeship signals. Send inspectors where the risk concentration is highest — with full prior-history context and explainable scoring.

🏥

Workers' Comp Adjudication

Surface prior cases, settlements, and medical patterns for WAB and adjudicators. Spot fraud-likely cases, accelerate legitimate ones, and produce defensible findings.

💵

Wage Claim Investigation

Cross-link wage claims with payroll, bonded amounts, ownership records, and prior cases. Move quickly on willful violations; settle where appropriate; document everything.

🧰

Apprenticeship Compliance

Monitor ratios, verify journey-worker counts, track standards compliance, and spot programs at risk of standards violation. Keep public works programs running clean.

🪪

UI Cross-Match & Recovery

Cross-match UI claims with employer registry, prior claims, and federal databases. Surface eligibility issues and recovery candidates with audit-ready packaging.

📜

Prevailing Wage Compliance

Bonded payroll review, CMU calculations, and public works compliance — with DBA equivalents and federal certified payroll cross-reference.

🚫

Retaliation Case Tracking

Surface whistleblower complaints, prior employer history, and litigation patterns. Protect worker identity while moving cases efficiently.

🌾

Farm Labor Contractor Oversight

Cross-link FLC registrations with worker complaints, bonded amounts, and historical inspections. Surface unregistered or non-compliant FLCs.

📊

Federal DOL Reporting

OSHA injury data, BLS submissions, federal grant reporting, and DOL audit responses — auto-assembled with full lineage on every figure.

Security · Sovereignty · Compliance

Compliant by default. Defensible by design.

Government data carries statutory privacy, federal reporting, and oversight obligations from day one. xAQUA is built for that posture, not against it.

🔒
Fully Private Deployment
VPC, GovCloud, or on-prem. Worker and employer data never leaves your boundary.
🛡️
Worker Confidentiality
Worker identity protection enforced at query time, not after the fact.
⚖️
Court-Defensible
Every figure traceable. Every authority decision logged. Replayable for appeal.
🔐
RBAC & SSO
SAML/OIDC. Per-bureau authority enforced at every agent step.
📊
Data Lineage
Every figure traceable to source inspection or claim record.
📋
Settlement-Aware
Settlement-protected records stay sealed; public-records-ready stays exportable.
🇺🇸
FedRAMP-Aligned
GovCloud-class posture. NIST 800-53 controls.
🚫
Zero Storage
xAQUA stores no employer or worker data. Sits on top of bureaus you already run.
Measurable Impact

Inspections hit. Adjudication holds. Federal reports submit clean.

Reference outcomes from peer-agency design conversations and adjacent production deployments on the same platform.

2–3×
Inspection Hit-Rate Lift
Cross-bureau scoring vs. legacy targeting
60%
Less Adjudication Prep
Case context auto-assembled from sources
3 wks
Implementation
vs. 6–9 months for traditional integration
100%
Court-Defensible
Full lineage and authority log on every output

Bring an AI data team into your labor agency.

A scoped 30–60 day pilot against your specific use cases. Live in your environment. No worker or employer data egress. We're actively engaging design partners across state DIR / labor / workforce agencies.