AI in HR:
Governance Handbook
for the CHRO
Compliance, Works Council, and Decision Layer
before August 2026
Compliance, Works Council, and Decision Layer
before August 2026
AI in HR is not an IT project. It is a governance project with a technical component.
Who defines at what confidence level a payroll calculation may run automatically? Who determines which bias definitions apply? Who decides whether a recruiting agent may pre-screen resumes?
The answer is not the CIO. It is the CHRO.
According to ISACA (2024), 73% of organisations lack a formal AI governance framework. In HR, this means critical processes such as payroll, recruiting, and workforce planning operate without defined control structures.
| Level | Responsibility | Who |
|---|---|---|
| Decision Matrix | Defines what the agent may do and what stays with humans | HR + Legal |
| Audit Trail | Every action logged, versioned, reproducible | IT (technical), HR (review) |
| Role Model | Who monitors, who approves, who escalates | HR |
| Works Agreement Templates | Documentation for the Works Agreement | HR + Works Council |
| Escalation Path | What happens in cases of uncertainty or low confidence | HR + IT |
Before the first agent goes live:
According to Gartner (2024), 30-40% of all AI projects fail due to missing governance structures. Not due to technology. Not due to budget. Due to organisation.
Every HR process consists of hundreds of micro-decisions. The Decision Framework classifies each one.
| Type | Decided by | Examples |
|---|---|---|
| Human (H) | Case worker or Works Council | Termination, formal warning, suspicion of discrimination |
| Rule Engine (R) | Collective agreement, Works Agreement, statute | Pay grade, bonuses, leave entitlement, social security contributions |
| AI-eligible (A) | Agent with confidence routing | Document classification, anomaly detection, routing |
AI classifies - it does not calculate. An agent recognises that a receipt is a travel expense claim. But the per diem rate is calculated by the rule engine.
Rule engines calculate - they do not decide. The rule engine applies the collective agreement. But whether an employee is promoted is decided by a human.
Humans decide where the law requires it. Not because they are better at it - but because it is required.
Score = (R + A) / Total x 100
| HR Process | Score | Meaning |
|---|---|---|
| Payroll | 85-95% | Highly automatable (rule engine-dominated) |
| Time Tracking | 80-90% | Highly automatable |
| Travel Expenses | 75-85% | Well automatable |
| Recruiting | 40-55% | Partially automatable (significant Human-in-the-Loop) |
| Performance Mgmt. | 20-35% | Primarily human |
The lower the score, the more Human-in-the-Loop. That is not a deficiency - it is by design.
The EU AI Act classifies AI systems in employment contexts as high-risk (Annex III No. 4).
AI systems intended to be used for recruitment or selection of natural persons, in particular for placing targeted job advertisements, analysing and filtering applications, and evaluating candidates.
From August 2026, six mandatory requirements apply (subject to the Digital Omnibus Package - possible postponement to December 2027):
| Requirement | Art. | Decision Layer |
|---|---|---|
| Risk Management | 9 | Confidence Routing - confidence score per decision, configurable thresholds |
| Data Governance | 10 | Versioned rule engines - every change traceable |
| Record-Keeping | 12 | Audit Trail - input, rule, confidence, and result logged |
| Transparency | 13 | Decision Layer documentation - every decision traceable |
| Human Oversight | 14 | Enforced Human-in-the-Loop - architectural, not optional |
| Accuracy/Robustness | 15 | Bias monitoring - systematic checks by gender, age, origin |
Sanctions: Up to EUR 15 million or 3% of global annual turnover.
Works Councils do not block AI. They block poorly prepared projects.
| Section (BetrVG) | Subject | Relevance for AI |
|---|---|---|
| § 87 (1) No. 6 | Technical monitoring | Any AI system processing employee data |
| § 87 (1) No. 10 | Remuneration principles | Salary calculation, bonuses, allowances |
| § 87 (1) No. 5 | Leave principles | Leave planning, absence management |
| § 99 | Transfer, grading | Personnel decisions influenced by AI |
| § 94 | Employee questionnaires | Recruiting forms with AI evaluation |
In the Decision Layer, Works Agreements are implemented as technical constraints - not as a PDF in a folder:
Art. 4 EU AI Act: All persons who operate or oversee AI systems must possess sufficient AI competence. According to BCG (2024): allocate 12-22% of the AI budget for training.
| Role | Training Content | Refresher |
|---|---|---|
| HR Case Worker | System understanding, escalation, interpreting results | Annually |
| Works Council | Audit functions, bias detection, inspection rights | Annually |
| CHRO/HR Leadership | Governance framework, compliance, strategy | Semi-annually |
| IT Operations | Technical operations, monitoring, incident response | Quarterly |
According to Hackett Group (2024), companies with explicit rule engines reduce correction postings by 60-80% in the first year.
| Decision | Type | Example |
|---|---|---|
| Collective agreement grading | Rule Engine | Pay group E8, Step 3, regional tariff area NRW |
| Allowance calculation | Rule Engine | Night shift +25%, public holiday +100% |
| Social security contributions | Rule Engine | Health ins. 14.6% + surcharge, pension 18.6%, unemployment 2.6% |
| Anomaly detection | AI | Salary deviates >15% - flag for review |
| Approval for deviation | Human | Confirm back-payment >EUR 500 |
Result: 85-92% zero-touch. Correction postings -60-80%.
According to GBTA Foundation: USD 58 per case, 19% error rate, USD 52 per correction. At 100,000 cases: USD 6.8 million/year.
| Industry | Zero-Touch | Cases/Year |
|---|---|---|
| Aviation/Logistics | 95% | 100k-1M |
| Sales | 90% | 120k+ |
| Consulting | 85% | 50k-250k |
Annex III No. 4: "Analysing and filtering of applications" = high-risk. Double governance depth required.
| Phase | Type | What Happens |
|---|---|---|
| CV Parsing | AI | Extraction of qualifications |
| Requirements Matching | AI + Rule Engine | Matching with confidence score |
| Shortlisting | Human | Recruiter reviews all suggestions |
| Decision | Human | Hiring is always a human decision |
Complexity arises from collective agreements, Works Agreements, and special regulations (Federal Leave Act, disability provisions, partial retirement, MaRisk mandatory leave). Result: 78-87% zero-touch.
10 questions for the CHRO. Rate each with 0 (no), 1 (partially), or 2 (yes).
| # | Question | 0 | 1 | 2 |
|---|---|---|---|---|
| 1 | We have an inventory of all AI systems in HR (incl. shadow AI). | ☐ | ☐ | ☐ |
| 2 | There is a designated owner for AI governance in HR. | ☐ | ☐ | ☐ |
| 3 | The Works Council is informed about AI usage. | ☐ | ☐ | ☐ |
| 4 | For every automated decision, the type is defined: H, R, or A. | ☐ | ☐ | ☐ |
| 5 | An audit trail exists for AI-supported decisions. | ☐ | ☐ | ☐ |
| 6 | Escalation paths and thresholds are documented. | ☐ | ☐ | ☐ |
| 7 | HR employees have completed AI literacy training (Art. 4). | ☐ | ☐ | ☐ |
| 8 | A framework Works Agreement for AI is in progress or completed. | ☐ | ☐ | ☐ |
| 9 | We can demonstrate freedom from discrimination. | ☐ | ☐ | ☐ |
| 10 | We have a plan for August 2026. | ☐ | ☐ | ☐ |
| Score | Rating | Recommendation |
|---|---|---|
| 16-20 | Ready | Choose a pilot process and build the Decision Layer. |
| 10-15 | Foundation in place | Formalise governance. Involve the Works Council. |
| 5-9 | Catching up needed | Prioritise AI literacy and inventory. |
| 0-4 | Action required | Start immediately. EU AI Act deadlines are running. |
EUR 1 in technology = EUR 4-5 in processes, governance, change management.
| Technology | 15-20% |
| Process Design | 30-35% |
| Governance | 20-25% |
| Change Management | 20-25% |
| Month | Focus | Outcome |
|---|---|---|
| 1 | Inventory | AI overview, governance ownership, Works Council informed, pilot process identified |
| 2 | Design | Workflow audit, H/R/A classification, thresholds, draft framework Works Agreement |
| 3 | Pilot | Decision Layer built, parallel operation, measurement after 4-6 weeks |
We will show you the Decision Layer applied to your own HR processes.
30 minutes, free of charge, no obligation.
Bert Gogolin - Managing Director, Gosign GmbH
Analyze your HR process: www.gosign.de/en/contact
Web: www.gosign.de