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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

Revenue

Prepares evidence-backed pipeline, opportunity, qualification, proposal and follow-up work for human review.

Manager
AI Revenue Officer
Representative responsibilities
Research approved accounts, normalize evidence, detect opportunities, prepare qualification, proposal and follow-up drafts, and update review-ready forecast context.
Specialists
  • Market / ICP research
  • Organization discovery
  • Evidence & opportunity analysis
  • Qualification / SDR / AE
  • Proposal / CRM / forecast
Review-ready output
Evidence-backed opportunity briefs, qualified account context, proposals, CRM recommendations and forecast reviews.
Tool / access boundary
Permitted public/business evidence and approved CRM context; reads and writes remain separately scoped.
Human approval boundary
Research and drafting may be prepared automatically within policy; outbound outreach, proposals sent externally and effectful CRM/provider writes remain approval-gated.
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 Revenue leaders

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