Single-use-case pack

Employment & Recruitment

One workflow choice decides whether your CV-screening agent is R3 Critical or R2 High, and whether it may act or only propose. Six governance patterns that catch which one you're actually running.

EU-wide, live today: GDPR Article 22 gives candidates a right to human review of a fully automated hiring decision. US-based? Illinois HB 3773, NYC Local Law 144, and similar laws in Colorado, Connecticut, and California apply the same right.

Six governance patternsOne running scenario throughoutWorks on any platformOne-page summary per patternLogic independently verified

Who this pack is for

Any organisation running an AI agent that touches employment or recruitment decisions, CV screening, candidate evaluation, interview scheduling with candidate-facing judgement calls, or similar, regardless of what industry the organisation is otherwise classified under. The same risk classification, ownership, and appeal path applies whether you're governed by EU AI Act Annex III, GDPR Article 22, or US state laws like Illinois HB 3773 and NYC Local Law 144.

What's in the pack

Set it up once. After that, the decision table runs automatically every time your CV-screening agent makes a call, and the Agent 365 artefact plugs straight in, covering every agent of that type you run, now and in the future. Under the EU AI Act, a high-risk system needs to be able to produce this documentation on request. This pack generates it automatically, so it's already there when you need it.

Agent Tiering / Inherent Risk Classification

Classifies each agent's inherent risk tier from what it touches, what it can do and the worst realistic outcome. Risk sets governance depth, never autonomy or access.

Agent Registry with Risk Tier, Operating Mode and Revocation

Registers agents as governance-grade, with risk tier, operating mode and a real revocation path.

Action-Level Authorization Boundaries

Catches a capability added after deployment that governance never re-checked against the agent's authorised actions.

Graduated Oversight Maturity Model

Defines the promotion path from supervised to autonomous, with the two safeguards that block a premature promotion.

Cross-System Audit Log Reconciliation

Catches an action logged under a shared service account instead of the agent's own identity.

Token & Cost Consumption Observability Baseline

Flags both a runaway-loop cost spike and a slower drift tied to a model version change.

What this pack explicitly does not do

This pack does not cover bias or fairness testing of the underlying CV-scoring model. That's a different discipline this library doesn't claim to provide. The six patterns govern how the agent built around that scoring logic is deployed, authorised, monitored, and audited, not whether the scoring logic itself is fair.

€599 / $699 / £549

Fixed price, checkout shows the currency you're billed in. Other currencies convert for a small fee. Instant download after payment. 30-day money-back guarantee.

Buy this pack
Try the free Agent Tiering pattern first →See the Worker Monitoring pack →See the Education & Assessment pack →See the Pre-Launch Readiness pack →
2026 Outthebox.ai. All rights reserved.
Terms & Conditions