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AI Workforce · Early access

Eight departments. One governed operating model.

Zurvina organizes department managers and bounded specialists to prepare evidence, recommendations and review-ready work. People retain authority over consequential actions.

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Product preview
Department manager
ResearchPlanningQuality

Coordinate bounded work · assemble evidence · route for review

Department explorer

Specialized teams, visible boundaries.

Choose a department to review its manager, specialist roles, prepared output and scoped tool boundary. Status labels distinguish preview experience from design principles.

Selected department

Security & Compliance

Organizes identity, threat, vulnerability, audit, data-protection, incident-response and AI-safety evidence without bypassing accountable human control.

Manager
AI Security & Compliance Officer
Representative responsibilities
Prepare risk briefs, correlate security evidence, identify control gaps, draft response plans and assemble review-ready compliance evidence.
Specialists
  • Identity / access
  • Threat / vulnerability
  • Audit / evidence
  • Data protection
  • Incident response / AI safety
Review-ready output
Risk briefs, control evidence, incident context and governed remediation proposals.
Tool / access boundary
Least-privilege, tenant-scoped evidence access with explicit tool allowlists; response writes remain separately authorized.
Human approval boundary
Monitoring and analysis do not confer response authority. Access changes, isolation, destructive containment and regulated decisions require the appropriate human approval.
Budget / cost boundary
Work is intended to stay within tenant, task, daily and monthly AI/API budget controls; expensive or effectful work may stop for approval.
Evidence / audit behavior
Prepared output should retain source/evidence context, confidence, cost/risk and decision state so reviewed work remains attributable.
Solution path for Security & compliance teams

Governance controls

Capability is bounded before work advances.

No public description exposes internal prompts, secrets, credentials or private agent configuration.

Preview

Manager and specialist model

A department manager coordinates bounded specialist work and assembles a review-ready result.

Design principle

Scoped tools

Each agent/service is intended to receive only registered skills, tenant scope and explicit read/write permissions for the assigned task.

Design principle

Budget boundaries

AI, API and external costs are intended to stay within task, daily and monthly limits with fail-closed controls.

Design principle

Kill switch

Authorized operators retain a clear path to pause governed workforce activity.

Design principle

Evaluations

Quality, safety, evidence and cost checks assess prepared work before it advances to consequential action.

Design principle

Audit behavior

Outputs are intended to retain attribution, evidence, confidence, cost, risk and decision state rather than creating hidden side effects.

Early access

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AI Workforce - Zurvina