D K
EU AI Act III(4)(a): High Risk Q3

Job Posting Agent

Publish compliant, consistent job postings - across every channel, every language.

Creates compliant job postings from requirement profiles and coordinates multi-channel publication. EU AI Act high-risk classification applies.

Analyse your process
Airbus Volkswagen Shell Renault Evonik Vattenfall Philips KPMG

Assessment

Agent Readiness 71-78%
Governance Complexity 58-65%
Economic Impact 56-63%
Lighthouse Effect 51-58%
Implementation Complexity 36-43%
Transaction Volume Weekly

What This Agent Does

Job postings are one of the most visible HR outputs - and one of the most regulated. Anti-discrimination law governs language, the EU Pay Transparency Directive requires salary range disclosure, and each publishing channel has its own formatting requirements. Managing this across dozens of open positions, multiple languages, and numerous job boards creates significant manual effort and compliance risk. The Job Posting Agent transforms structured job requirement profiles into publication-ready postings. It applies the organisation's tone and format guidelines, checks language against anti-discrimination requirements, includes mandatory information (salary ranges, employment type, location), and distributes the posting to configured channels - job boards, career site, internal portals, and social platforms. The agent is classified as high-risk under the EU AI Act (Annex III, Section 4(a)) because targeted job advertisements can influence who applies and therefore affect the selection process. This means compliance checks, distribution monitoring, and full documentation are not optional. For organisations posting 100+ positions annually across multiple countries and channels, the consistency and compliance gains are substantial.

Micro-Decision Table

Human
Rules Engine
AI Agent
Each row is a decision. Expand to see the decision record and whether it can be challenged.
Receive requirement profile Parse job requirements and posting parameters Rules Engine

Structured intake from job profile system

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Generate posting content Create job posting text from requirement profile and templates AI Agent

AI-generated content following brand and format guidelines

Decision Record

Model version and confidence score
Input data and classification result
Decision rationale (explainability)
Audit trail with full traceability

Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.

Check anti-discrimination compliance Scan posting for potentially discriminatory language AI Agent

Language analysis against anti-discrimination compliance rules

Decision Record

Model version and confidence score
Input data and classification result
Decision rationale (explainability)
Audit trail with full traceability

Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.

Verify pay transparency requirements Ensure salary range is included per applicable directive Rules Engine

Rule-based check against Pay Transparency Directive requirements

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Review and approve posting Human review of generated content before publication Human

Recruiter or hiring manager confirms content accuracy and tone

Decision Record

Decider ID and role
Decision rationale
Timestamp and context

Challengeable: Yes - via manager, works council, or formal objection process.

Select distribution channels Determine which job boards and platforms to publish on Rules Engine

Channel selection rules per role type, location, and budget

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Format per channel requirements Adapt posting to each channel's format and field requirements AI Agent

Automated formatting per channel specification

Decision Record

Model version and confidence score
Input data and classification result
Decision rationale (explainability)
Audit trail with full traceability

Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.

Publish and track Distribute posting and monitor channel performance AI Agent

Automated publishing with response tracking per channel

Decision Record

Model version and confidence score
Input data and classification result
Decision rationale (explainability)
Audit trail with full traceability

Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.

Decision Record and Right to Challenge

Every decision this agent makes or prepares is documented in a complete decision record. Affected employees can review, understand, and challenge every individual decision.

Which rule in which version was applied?
What data was the decision based on?
Who (human, rules engine, or AI) decided - and why?
How can the affected person file an objection?
How the Decision Layer enforces this architecturally →

Prerequisites

  • Structured job requirement profiles
  • Brand and tone guidelines for job postings
  • Anti-discrimination language guidelines per jurisdiction
  • Pay transparency rules per applicable directive
  • Job board integrations and API access
  • EU AI Act conformity assessment for high-risk classification
  • Posting approval workflow

Governance Notes

EU AI Act III(4)(a): High Risk
Classified as high-risk under the EU AI Act, Annex III, Section 4(a) - targeted job advertisements are considered part of the recruitment process. Conformity assessment is mandatory. The agent must document its distribution logic to ensure postings are not targeted in a discriminatory manner. The EU Pay Transparency Directive (2023/970) creates specific obligations for salary information in job postings. Anti-discrimination law compliance must be verifiable per jurisdiction. Works council information rights apply under Article 26(7) EU AI Act. The Decision Layer decomposes every process into individual decision steps and defines for each: Human, Rules Engine, or AI Agent. Every decision is documented in a complete decision record. Affected employees can understand and challenge any automated decision.

Infrastructure Contribution

The Job Posting Agent builds the multi-channel publishing and compliance checking infrastructure that supports consistent external communications. The anti-discrimination language checking capability established here is reusable across all HR documents and communications. Builds Decision Logging and Audit Trail used by the Decision Layer for traceability and challengeability of every decision.

Does this agent fit your process?

We analyse your specific HR process and show how this agent fits into your system landscape. 30 minutes, no preparation needed.

Analyse your process

What this assessment contains: 9 slides for your leadership team

Personalised with your numbers. Generated in 2 minutes directly in your browser. No upload, no login.

  1. 1

    Title slide - Process name, decision points, automation potential

  2. 2

    Executive summary - FTE freed, cost per transaction before/after, break-even date, cost of waiting

  3. 3

    Current state - Transaction volume, error costs, growth scenario with FTE comparison

  4. 4

    Solution architecture - Human - rules engine - AI agent with specific decision points

  5. 5

    Governance - EU AI Act, works council, audit trail - with traffic light status

  6. 6

    Risk analysis - 5 risks with likelihood, impact and mitigation

  7. 7

    Roadmap - 3-phase plan with concrete calendar dates and Go/No-Go

  8. 8

    Business case - 3-scenario comparison (do nothing/hire/automate) plus 3×3 sensitivity matrix

  9. 9

    Discussion proposal - Concrete next steps with timeline and responsibilities

Includes: 3-scenario comparison

Do nothing vs. new hire vs. automation - with your salary level, your error rate and your growth plan. The one slide your CFO wants to see first.

Show calculation methodology

Hourly rate: Annual salary (your input) × 1.3 employer burden ÷ 1,720 annual work hours

Savings: Transactions × 12 × automation rate × minutes/transaction × hourly rate × economic factor

Quality ROI: Error reduction × transactions × 12 × EUR 260/error (APQC Open Standards Benchmarking)

FTE: Saved hours ÷ 1,720 annual work hours

Break-Even: Benchmark investment ÷ monthly combined savings (efficiency + quality)

New hire: Annual salary × 1.3 + EUR 12,000 recruiting per FTE

All data stays in your browser. Nothing is transmitted to any server.

Job Posting Agent

Initial assessment for your leadership team

A thorough initial assessment in 2 minutes - with your numbers, your risk profile and industry benchmarks. No vendor logo, no sales pitch.

30K120K
1%15%

All data stays in your browser. Nothing is transmitted.

Related Pages

Decision Layer
Governance layer between AI agent and target system. Every decision documented and challengeable.
EU AI Act
High-risk requirements: risk management, transparency, human oversight.
Co-Determination & AI
Works council, works agreements, and co-determination as architecture constraint.
HR AI Agents
All HR agent services at a glance.
HR Agent Readiness
7 questions, 3 minutes. How ready is your organisation?
Assessment eBook
15 questions for your leadership team as PDF.

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Frequently Asked Questions

Does the agent write job postings from scratch?

The agent generates posting content from structured requirement profiles using templates and guidelines. A human always reviews and approves the content before publication.

How does the agent handle salary ranges for pay transparency?

The agent checks whether the applicable jurisdiction requires salary range disclosure and validates that the posting includes the required information. It does not determine salary ranges - those come from the compensation structure.

What Happens Next?

1

30 minutes

Initial call

We analyse your process and identify the optimal starting point.

2

1 week

Discover

Mapping your decision logic. Rule sets documented, Decision Layer designed.

3

3-4 weeks

Build

Production agent in your infrastructure. Governance, audit trail, cert-ready from day 1.

4

12-18 months

Self-sufficient

Full access to source code, prompts and rule versions. No vendor lock-in.

Implement This Agent?

We assess your process landscape and show how this agent fits into your infrastructure.