Skills-Career-Profile Agent - EU AI Act Annex III(4)(b), ESCO, O*NET | Gosign
Title VII/Equal Pay Act/UK Equality Act-compliant skills-based talent classification plus EU AI Act Annex III(4)(b) Bias-Audit plus EU GDPR Article 22 human-in-the-loop plus ESCO European Skills Classification plus O*NET occupational data plus Lightcast Open Skills plus UK NQF mapping plus Mobley v. Workday-resilient skills-career-profile engine in one pipeline - full skills-governance instead of spreadsheet-based competency self-assessment for Talent Lead, HR Lead, CHRO, Executive Leadership, Works Council, DPO, EEOC compliance officer.
Skills-based talent classification: Title VII/Equal Pay Act, EU AI Act Annex III(4)(b) high-risk task assignment, ESCO European Skills + O*NET + Lightcast - GDPR Art. 22 human-in-the-loop.
Analyse your processAuswahl aus über 5.000 Projekten in 25 Jahren Softwareentwicklung
Skills extraction plus ESCO/O*NET/Lightcast taxonomy mapping plus competency-profile validation plus career-path simulation plus Equity-Audit-Engine plus EU AI Act Bias-Audit plus EU GDPR Article 22 human-in-the-loop plus Mobley v. Workday-resilient talent-classification pipeline
High R-share deterministic taxonomy mapping with Title VII + Equal Pay Act + ADEA + ADA + UK Equality Act + EU GDPR Art. 6+9+22+88 + EU AI Act 2024/1689 Annex III(4)(b) HR Task-Assignment-Personal-Traits high-risk system Article 6+9+10+13+14+26+27 + 25+ US State/City Pay Transparency Laws + Section 78 Gender Pay Gap Reporting + EU CSRD ESRS S1-13 + EEOC enforcement guidance - skill-tag assignment and final classification stay with humans without generative AI in decision; ML indicators only for talent-matching suggestions with statistical bias detection across protected classes and competency-cluster consistency check, final validation through line manager and HR Lead with EU GDPR Article 22 human validation + EU AI Act Article 14 human oversight
Outcome: Effective 2.8.2026 EU AI Act obliges documentable rationales for every skills-based talent-assignment recommendation, opaque skills-ranking creates ADEA exposure analogous to Mobley v. Workday Northern District California 2023 class action AI bias HR software against 40+ candidates + EEOC US enforcement Title VII + Equal Pay Act + Section 78 Gender Pay Gap Reporting annual mandatory >250 UK employees - the agent provides the auditable skills-classification chain from skill extraction to validated career-path simulation.
The architecture reflects that skills-based classification is not fully automatable but consistency-checkable across thousands of competency assignments:
Six months of competency-questionnaire ping-pong before the first internal-mobility match - Title VII class action damages plus EU AI Act fines up to 35M EUR plus EU GDPR up to 4 percent group revenue plus Mobley v. Workday class action precedent plus opaque ML talent ranking creates ADEA exposure
Skills-matching as compliance trap between Title VII and EU AI Act
This agent follows the Decision Layer principle: each decision is either rule-based, AI-assisted, or explicitly assigned to a human. It is classified per EU AI Act 2024/1689 Annex III(4)(b) as high-risk system - and AI systems for task-assignment based on individual behavior or personal traits are explicitly named in the regulation among the high-risk HR use cases. From 2.8.2026 the agent is therefore subject to enhanced obligations on Risk Management System, Data Governance, Transparency, Human Oversight, and Bias-Audit on skills-ranking patterns.
A typical skills-classification cycle takes six months from skill extraction to internal-mobility communication. The lag between skill emergence on the job and recognized skills-tag in the HRIS is typically 9-14 months - a 40+ employee who acquires a new skill is systematically late in being matched to internal-mobility opportunities versus a younger peer with the same actual skill.
The problem is not the time effort. It is what happens between the steps: systematic skills-equity analysis across protected classes, documentable rationales for the Title VII + Equal Pay Act burden of proof reversal, competency-cluster consistency validation, ESCO + O*NET + Lightcast taxonomy auditability, and a defensible audit-trail when an EEOC or EHRC pattern-and-practice investigation arrives.
EU AI Act Annex III(4)(b) task-assignment-personal-traits high-risk
The Skills-Career-Profile Agent falls under EU AI Act 2024/1689 Annex III Point 4 Letter b - the regulation explicitly lists AI systems for task-assignment based on individual behavior or personal traits as high-risk HR AI use cases. The obligations from 2.8.2026 include:
- Article 9 Risk Management System: identification + analysis + assessment + mitigation Bias risks on skills-ranking patterns (Gender + Age + Ethnicity + Disability skills-classification gap)
- Article 10 Data Governance: training data quality + bias detection + Demographic Parity tests + Equal Opportunity tests + Synthetic Data Augmentation on senior employee skills-tagging data + auditable taxonomy reference (ESCO + O*NET + Lightcast + UK NQF)
- Article 13 Transparency Obligations: package insert on functioning + accuracy + robustness + bias-audit results on skills-ranking
- Article 14 Human Oversight: mandatory human-in-the-loop on every skills-classification recommendation
- Article 26 Deployer Obligations: DPIA + consultation obligation supervisory authority + post-market monitoring + incident reporting on skills-bias incidents
- Article 27 FRIA Fundamental Rights Impact Assessment: before deployment, consultation EEOC + DPO + works council/union
Fines up to 35M EUR or 7 percent global group revenue. Cross-Reference EU GDPR Article 35 DPIA obligation in systematic automated assessment with significant impact on the employment relationship. The Mobley v. Workday class action (Northern District California 2023) serves as US precedent and shapes EU regulator line on skills-classification software because the same statistical-discrimination reasoning extends to internal-mobility ranking based on AI-extracted skills profiles.
US Title VII plus Equal Pay Act plus UK Equality Act plus skills-based discrimination
Title VII Civil Rights Act 1964 (42 USC 2000e) prohibits skills-based task-assignment discrimination on the basis of race + color + religion + sex + national origin. Equal Pay Act 1963 (29 USC 206(d)) applies to the post-assignment pay change when skills-classification drives compensation banding. Lilly Ledbetter Fair Pay Act 2009 paycheck accrual rule restarts the statute of limitations with each new compensation event including skills-driven changes - an undervalued skills-classification or missed skills-tag can be litigated years later when subsequent paychecks reveal the pattern.
ADEA Age Discrimination in Employment Act 1967 (40+ years protected) applies at skills-based internal-mobility screening - the Mobley v. Workday class action precedent extends directly to skills-classification ranking when AI software systematically deprioritizes 40+ candidates in emerging skills clusters. ADA Americans with Disabilities Act applies to competency-profile accommodation. GINA Genetic Information Nondiscrimination Act prohibits genetic-information-based skills-tagging. EEOC Algorithmic Discrimination Initiative 2021-2026 explicitly targets AI-driven skills-classification screening as a top enforcement priority.
UK Equality Act 2010 Section 5 protected characteristics (age + disability + gender reassignment + marriage + civil partnership + pregnancy + maternity + race + religion + belief + sex + sexual orientation) apply at every skills-classification decision. Equal Pay Act 1970 consolidated into Equality Act 2010 Section 64-66 applies at the post-skills-assignment pay-change comparator analysis. The Mobley v. Workday precedent applies analogously under UK Equality Act because UK courts have consistently followed US ADEA reasoning on age-bias in HR software.
US 25+ State Pay Transparency plus UK Section 78 Gender Pay Gap
The 25+ US State/City Pay Transparency Laws apply to skills-driven internal-mobility postings: California SB 1162 (effective 1.1.2023, 15+ employees, range + bonuses + benefits + records 3 years for skills-based candidates) + Colorado Equal Pay for Equal Work Act 2021 (mandatory promotion opportunity notice to all employees - this is the strictest US standard requiring proactive notification of internal-mobility opportunities triggered by skills-classification) + NY State Pay Transparency Law (effective 17.9.2023, 4+ employees) + NYC Local Law 32 + Connecticut Public Act 21-30 + Maryland HB 123 + Washington (HB 1696) + Hawaii (SB 1057) + Illinois HB 3129 + Massachusetts AnA + Nevada AB 105 + Rhode Island Fair Pay Act + DC FY2025 Budget Support Act + Cincinnati + Toledo + Columbus + Jersey City. EEOC enforcement on EEO-1 Component 2 demographic-pay data reporting now includes skills-driven internal-mobility changes.
UK Section 78 Gender Pay Gap Reporting Regulations 2017 require mandatory annual reporting >250 UK employees by 4 April - EHRC has been increasingly focused on skills-based internal-mobility gap indicators because skills-classification patterns drive much of the structural pay gap. ACAS Code of Practice provides procedural guidance. UK ICO enforces UK GDPR Article 22 automated decision-making prohibition. UK Companies House publishes gender pay gap data publicly - non-compliant skills-classification audit data triggers EHRC enforcement.
ESCO plus Lightcast plus O*NET plus Mobley v. Workday class action precedent
The skills-taxonomy backbone rests on four publicly maintained classifications. ESCO (European Commission DG Employment) provides 13 944 skills + 3 008 occupations crosswalked to ISCO-08 across 27 EU languages. O*NET (US Department of Labor) provides 1 000+ occupations + skills + abilities + knowledge crosswalked to SOC 2018. Lightcast Open Skills Library (formerly Burning Glass + Emsi merger 2021) provides 32 000+ open skills with RDF-encoded definitions. UK NQF + RQF + SCQF + CQFW provide 8 qualification levels with Ofqual regulation. Stable concept URIs ensure auditable cross-system referencing.
Mobley v. Workday (Northern District California 2023, certified 2024) concerns AI bias in HR software against 40+ candidates under ADEA. The precedent extends to internal-mobility skills-fit ranking when AI systematically deprioritizes 40+ employees in emerging skills clusters. The risk vectors: training data bias when historical skills-tagging underrepresents 40+ employees, feature selection bias when proxy variables for age (LMS recency + recent project tagging) drive the ranking, feedback loop bias when AI-suggested rankings shape future training data, opacity bias when employees cannot challenge automated rankings per EU GDPR Article 22 (3). Risk mitigation: Bias-Audit quarterly with Demographic Parity + Equal Opportunity tests, Synthetic Data Augmentation, mandatory rationale documentation per Title VII audit-trail, FRIA Article 27 before deployment.
Cross-reference to Promotion-Process plus Performance-Review-Documentation plus Succession-Planning
The Skills-Career-Profile Agent sits in a pipeline of specialized HR agents. Performance-Review-Documentation Agent provides performance ratings and 360 feedback as skills-extraction input. Promotion-Process Agent reuses the Skills Equity Analysis Engine for promotion equity analysis. Compensation-Benchmarking Agent receives validated competency profiles for compensation banding. Payroll-Reporting Agent generates CSRD ESRS S1-13 Skills Development Reporting plus ISO 30414 metrics. HR-Document-Management Agent archives Title VII-compliant skills-classification rationales 7 years. Audit-Compliance Agent verifies EU AI Act Article 26 deployer obligations on skills-classification software.
At a glance
- Classification: EU AI Act 2024/1689 Annex III(4)(b) high-risk HR Task-Assignment-Personal-Traits explicitly named in the regulation, applicable from 2.8.2026
- Compliance anchors: Title VII + Equal Pay Act + ADEA + ADA + UK Equality Act + Section 78 Gender Pay Gap Reporting + EU AI Act + EU GDPR Art. 22+35+88 + CSRD ESRS S1-13 + ISO 30414 Workforce Capabilities 5.1 + Skills 5.2 + 25+ US State/City Pay Transparency Laws
- Taxonomy reference: ESCO (13 944 skills + 3 008 occupations across 27 EU languages) + O*NET (1 000+ occupations) + Lightcast Open Skills Library (32 000+ open skills RDF) + UK NQF (8 levels)
- Codetermination: Section 87 (1) Nr. 6 Works Constitution Act (Germany) IT-system + UK ACAS Code + US NLRA collective bargaining mandatory
- Equity threshold: 5 percent unexplained gender or age skills-classification gap per EU Pay Transparency Article 9 triggers Joint Pay Assessment + 6-month remediation Article 10
- Fines: up to 35M EUR or 7 percent global group revenue EU AI Act + up to 4 percent or 20M EUR EU GDPR + Title VII + Equal Pay Act class action damages + UK Section 78 EHRC enforcement
- Audit obligation: DPIA + FRIA + Bias-Audit quarterly on skills-ranking patterns, auditor verification CSRD from 250 employees + UK Section 78 annual mandatory
- US precedent: Mobley v. Workday Northern District California 2023 class action AI bias HR software applied analogously to skills-based internal-mobility candidate ranking
Decision-Maker Distribution Skills-Career-Profile
| Step | Decider | Rationale |
|---|---|---|
| Skill extraction | A | NLP extraction from reviews + projects + LMS |
| Taxonomy mapping | R | ESCO + O*NET + Lightcast + UK NQF deterministic |
| Competency-cluster validation | R | Role architecture + Hay Points deterministic |
| Self-assessment intake | H | Individual employee claim with evidence |
| Manager validation | H | Line manager evidence review + proficiency confirmation |
| Skills equity analysis | A | ML-statistical bias detection across protected classes |
| Career-path simulation | A | ML-supported next-role + skills-gap suggestion |
| Internal-mobility match | A | ML-supported skills-fit ranking against requisitions |
| Equity escalation | R | Threshold >5 percent EU Pay Transparency 2023/970 |
| Works council notification | R | Section 87 (1) Nr. 6 BetrVG + UK ACAS + US NLRA |
| HR Lead approval | H | Final approval Title VII-compliant |
| EU GDPR information | R | Article 13+14+22 (3) standard workflow |
| Skills-profile documentation | A | LLM-supported profile + career-development plan |
| CSRD/ISO reporting | R | ESRS S1-13 + ISO 30414 deterministic |
Micro-Decision Table
Who decides in this agent?
14 decision steps, split by decider
Skill extraction intake plus performance review plus project history plus learning records Which raw skill signals are extracted from performance reviews + project history + LMS learning records + 360 feedback + certification records? AI Agent Employee
Automated NLP extraction from performance review system + project tracking + LMS records + 360 feedback platform + certification database; LLM-supported skill-tag suggestion with mandatory human validation EU AI Act Article 14; Decision-Type A because content extraction is AI-supported but downstream taxonomy mapping is rule-based
Decision Record
Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.
Challengeable by: Employee
ESCO/O*NET/Lightcast taxonomy mapping plus skill normalization Are extracted skill tags mapped to ESCO + O*NET + Lightcast Open Skills Library + UK NQF stable concept URIs? Rules Engine Auditor
Rule-based taxonomy lookup against ESCO API + O*NET-SOC crosswalk + Lightcast Open Skills RDF + UK NQF level mapping with deterministic URI assignment; auditable taxonomy reference per EU AI Act Article 10 data governance; deterministic mapping logic hence Decision-Type R
Decision Record
Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.
Challengeable by: Auditor
Competency-cluster validation plus role-architecture consistency Are mapped skills assigned to competency clusters consistent with role architecture and Korn Ferry Hay Group methodology? Rules Engine
Rule-based check against competency framework + role architecture + Hay Points methodology + cross-functional skill-cluster definitions + skill-cluster gap flag for line manager review + Cross-Reference Korn Ferry Career Architecture; deterministic competency-cluster logic hence Decision-Type R
Decision Record
Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.
Self-assessment intake plus employee skill claim plus evidence requirement Which self-assessed skills are accepted with proficiency-level claim + evidence requirement (project + certification + manager validation)? Human
Individual employee skill claim with mandatory evidence (project records + certifications + manager validation) for Title VII + Equal Pay Act-compliant audit-trail in burden of proof reversal cases + EU AI Act Article 14 human oversight mandatory; AI suggestion only recommendation not decision
Decision Record
Challengeable: Yes - via manager, works council, or formal objection process.
Manager validation plus skill-claim verification plus proficiency-level confirmation Does the line manager validate the employee skill claim with proficiency-level confirmation and evidence review? Human
Individual human assessment by line manager with project context + observed performance + evidence review + proficiency-level confirmation + mandatory rationale documentation for Title VII + Equal Pay Act-compliant audit-trail; EU AI Act Article 14 human oversight mandatory
Decision Record
Challengeable: Yes - via manager, works council, or formal objection process.
Skills Equity Analysis Engine plus Title VII discrimination indicators across protected classes Are there systematic skills-classification disparities by Gender + Age + Ethnicity + National Origin + Religion + Disability + Sexual Orientation + Pregnancy + Veteran Status above 5 percent threshold per EU Pay Transparency 2023/970 + Title VII statistical significance? AI Agent Auditor
ML-supported statistical analysis Skills Equity Engine across protected classes Title VII + ADEA + ADA + GINA + UK Equality Act + EU GDPR Art. 9 with company-specific skills-tagging training data; LLM output indicator not final decision; human validation HR Lead + DPO + EEOC compliance officer + EU AI Act Article 14 mandatory; Title VII + Equal Pay Act + ADEA burden of proof reversal risk on indicators of discrimination at skills-classification; Mobley v. Workday class action precedent on AI bias in skills-based ranking
Decision Record
Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.
Challengeable by: Auditor
Career-path simulation plus next-role suggestion plus skills-gap detection Which next-role suggestions and required-skills-gap simulations are generated for the employee career path? AI Agent Employee
ML-supported career-path simulation with next-role suggestion + skills-gap detection + recommended-learning-path generation; LLM output indicator not final decision; human validation employee + line manager + HR Business Partner + EU AI Act Article 14 mandatory; Mobley v. Workday-resilient design with mandatory rationale per career-path suggestion
Decision Record
Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.
Challengeable by: Employee
Internal-mobility match plus open-requisition skills-fit ranking How is the employee skills-profile matched against open-requisition skills-requirements for internal-mobility ranking? AI Agent Employee
ML-supported skills-fit ranking against open requisitions; LLM output indicator not final decision; human validation hiring manager + HR Business Partner + EU AI Act Article 14 mandatory; Title VII + Equal Pay Act + ADEA burden of proof reversal risk in opaque skills-fit ranking; Mobley v. Workday-resilient design with mandatory rationale per ranking
Decision Record
Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.
Challengeable by: Employee
Skills-equity finding escalation plus EU AI Act Article 26 deployer obligation Is a skills-equity issue escalated to HR Lead + executive leadership + works council + EEOC + EHRC + EU AI Office per EU AI Act Article 26 deployer obligations? Rules Engine
Threshold-based escalation at >5 percent unexplained gender or age skills-classification gap per EU Pay Transparency 2023/970 Article 9 + 6-month remediation obligation Article 10 + Title VII + Equal Pay Act + EEOC enforcement guidance + UK Section 78 Gender Pay Gap Reporting + EHRC + automatic audit-trail; deterministic threshold logic hence Decision-Type R
Decision Record
Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.
Works council notification plus codetermination consultation on skills-software Is the works council notified and consultation conducted per Section 87 (1) Nr. 6 Works Constitution Act (Germany) + UK ACAS + US NLRA collective bargaining where applicable? Rules Engine
Rule-based notification workflow per Section 87 (1) Nr. 6 BetrVG (Germany) IT-system codetermination + UK ACAS Code of Practice + US NLRA collective bargaining + works council consultation deadline 1 week + group works council for cross-corporate skills-software + automatic audit-trail with consultation rationale; deterministic notification logic hence Decision-Type R
Decision Record
Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.
HR Lead approval plus skills-profile finalization plus Title VII compliance confirmation Is the validated skills-career-profile finally approved by authorized HR leader with Title VII + Equal Pay Act-compliant audit-trail + Mobley v. Workday-resilient documentation? Human
Final human approval by authorized HR leader EU AI Act Article 14 mandatory + Title VII + Equal Pay Act-compliant rationale documentation + EU GDPR Article 22 prohibition solely automated decision; human decision mandatory
Decision Record
Challengeable: Yes - via manager, works council, or formal objection process.
EU GDPR Article 22 employee notification plus rationale communication plus right to challenge How are employees transparently informed about skills-classification + career-path simulation + right to challenge per EU GDPR Article 13+14 + Article 22 (3) + EU AI Act Article 13? Rules Engine Employee
Rule-based workflow: EU GDPR Article 13+14 information obligations + Article 22 (3) right to challenge automated recommendations + EU AI Act Article 13 transparency obligation for high-risk systems + Title VII + Equal Pay Act burden of proof reversal risk in opaque communications on skills-classification rationale; standardized information generation with rationale block
Decision Record
Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.
Challengeable by: Employee
Skills-profile documentation plus career-development plan plus learning-path handover Are skills-profile + career-development plan + recommended learning paths + competency-gap roadmap generated and handed over to Learning-Path-Recommendation-Agent + Performance-Review-Documentation-Agent? AI Agent
Automated document generation from approved skills-profile data including profile summary + career-path simulation + learning-path recommendation + competency-gap roadmap + LLM-supported clause selection with mandatory human validation EU AI Act Article 14; Decision-Type A because content generation is AI-supported but distribution is rule-based; Cross-Reference Learning-Path-Recommendation-Agent
Decision Record
Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.
CSRD/ISO reporting update plus ESRS S1-13 Skills Development Reporting plus ISO 30414 Skills metrics How is the skills-classification documented for CSRD ESRS S1-13 Training and Skills Development Reporting + ISO 30414 Workforce Capabilities 5.1 + Skills 5.2 + EU Pay Transparency Article 8 reporting obligation + Section 78 UK Gender Pay Gap Reporting? Rules Engine
Rule-based generation CSRD ESRS S1-13 Skills Development Reporting + ISO 30414 Skills + Capabilities metrics + EU Pay Transparency 2023/970 Article 8 reporting obligation + UK Section 78 Gender Pay Gap Reporting by 4 April + audit-trail Cross-Reference EU AI Act post-market monitoring Article 26; deterministic reporting logic hence Decision-Type R
Decision Record
Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.
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.
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 processGovernance Notes
Assessment
Prerequisites
- ESCO + O*NET + Lightcast Open Skills Library + UK NQF taxonomy reference + concept URIs
- Role architecture + competency-cluster framework + Hay Points methodology
- Performance ratings + 360 feedback from Performance-Review-Documentation-Agent
- LMS records + certification database + project tracking system integration
- Approval matrix by skills-cluster + line manager + HR Business Partner + HR Lead
- Works council/Union agreement on AI-supported skills-classification governance
- DPIA + FRIA documentation EU AI Act Article 27 + EU GDPR Article 35
- EU Pay Transparency-compliant comparator group definition >=6 employees per skills-cluster
- Mobley v. Workday-resilient Bias-Audit framework with quarterly Demographic Parity tests
Infrastructure Contribution
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
Title slide - Process name, decision points, automation potential
- 2
Executive summary - FTE freed, cost per transaction before/after, break-even date, cost of waiting
- 3
Current state - Transaction volume, error costs, growth scenario with FTE comparison
- 4
Solution architecture - Human - rules engine - AI agent with specific decision points
- 5
Governance - EU AI Act, works council, audit trail - with traffic light status
- 6
Risk analysis - 5 risks with likelihood, impact and mitigation
- 7
Roadmap - 3-phase plan with concrete calendar dates and Go/No-Go
- 8
Business case - 3-scenario comparison (do nothing/hire/automate) plus 3×3 sensitivity matrix
- 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.
Skills-Career-Profile Agent - EU AI Act Annex III(4)(b), ESCO, O*NET | Gosign
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.
All data stays in your browser. Nothing is transmitted.
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Promotion-Process Agent - Title VII, EU AI Act Annex III(4)(b), Pay Transparency | Gosign
Title VII/Equal Pay Act/UK Equality Act-compliant promotion decisions plus EU AI Act Annex III(4)(b) Bias-Audit plus EU Pay Transparency 2023/970 Pay Range plus 25+ US State/City Pay Transparency Laws plus Section 78 Gender Pay Gap Reporting plus EU GDPR Article 22 human-in-the-loop plus 5 percent Gender Pay Gap threshold plus band-jump validation plus Mobley v. Workday-resilient promotion eligibility engine in one pipeline - full Promotion-Process-Governance instead of email-attachment ping-pong for Talent Lead, HR Lead, CHRO, Executive Leadership, Works Council, DPO, EEOC compliance officer.
Frequently Asked Questions
Does the agent make autonomous skills-classification decisions?
No. The agent orchestrates the process: skill extraction from performance reviews + project history + LMS records, ESCO + O*NET + Lightcast + UK NQF taxonomy mapping, competency-cluster validation, employee self-assessment intake, line manager validation, skills-equity analysis with Gender + Age + Ethnicity + Disability skills-classification gap detection, career-path simulation, internal-mobility match, approval workflow per Section 87 (1) Nr. 6 Works Constitution Act + UK ACAS Code + US NLRA + Title VII compliance. The individual skill claim comes from the employee with mandatory evidence requirement, the validation from line manager with mandatory rationale documentation, the final approval from HR Lead with Title VII + Equal Pay Act-compliant audit-trail. The agent ensures the skills-classification process runs consistently + EU AI Act Article 26 deployer obligations-compliant + Title VII non-discriminatory + EU GDPR Article 22-compliant + Mobley v. Workday-resilient.
Why is this agent EU AI Act high-risk system per Annex III(4)(b)?
Annex III(4)(b) explicitly names task-assignment based on individual behavior or personal traits among the high-risk HR use cases: AI systems for task-assignment + skills-based ranking + competency assessment are explicitly classified as high-risk. Although the agent makes no final decisions, it substantially influences the skills-classification process from skill extraction to validated career-path simulation. The high-risk classification requires from 2.8.2026: Risk Management System Article 9, Data Governance Article 10 with bias mitigation on skills-ranking patterns, Transparency Obligations Article 13, Human Oversight Article 14, Deployer Obligations Article 26, FRIA Fundamental Rights Impact Assessment Article 27. Fines up to 35M EUR or 7 percent global group revenue. Cross-Reference Mobley v. Workday Northern District California 2023 class action as US precedent AI bias HR software against 40+ candidates applied analogously to skills-based internal-mobility candidate ranking.
How does ESCO plus O*NET plus Lightcast plus UK NQF taxonomy mapping ensure auditable skills-classification?
The agent maps every extracted skill tag to ESCO European Skills Competences Qualifications Occupations classification (13 944 skills + 3 008 occupations + multilingual across 27 EU languages) + O*NET US Department of Labor occupational database (1 000+ occupations + skills + abilities + knowledge) + Lightcast Open Skills Library (32 000+ open skills + RDF-encoded definitions) + UK NQF National Qualifications Framework (8 levels + RQF + SCQF + CQFW). Stable concept URIs ensure auditable cross-system referencing, crosswalk to ISCO-08 + SOC + EU EQF supports multinational rollout. This is the EU AI Act Article 10 data governance baseline: training-data references and skills-classification outputs are anchored in publicly maintained taxonomies with regulator oversight. EEOC Algorithmic Discrimination Initiative recognizes auditable taxonomy reference as Bias-Audit prerequisite. Cross-Reference Cedefop European Centre for the Development of Vocational Training + EU Pact for Skills.
How is skills-equity ensured per Title VII + UK Equality Act + EU Pay Transparency Directive 2023/970?
The Skills Equity Analysis Engine statistically checks whether skills-classification + career-path suggestions + internal-mobility rankings systematically deviate by Gender + Age + Ethnicity + National Origin + Religion + Disability + Sexual Orientation + Pregnancy + Veteran Status. Research from McKinsey + Lean In Women in the Workplace has documented persistent skills-recognition gaps for women and minority employees in technical and leadership skills-tagging. At >5 percent unexplained gender or age skills-classification gap or post-assignment pay gap per EU Pay Transparency 2023/970 Article 9 + Title VII + Equal Pay Act + ADEA enforcement guidance + Section 78 UK Gender Pay Gap Reporting, automatic escalation occurs to HR Lead + executive leadership + works council + EEOC + EHRC + EU AI Office with 6-month remediation obligation Article 10. EEOC EEO-1 Component 2 demographic-pay data reporting + UK Section 78 annual mandatory >250 UK employees + CSRD ESRS S1-13 skills-classification metrics from 250 employees with mandatory auditor verification + ISO 30414 Workforce Capabilities 5.1 + Skills 5.2. This is a substantial advantage over manual competency-assessment processes where skills-recognition gaps often remain unrecognized until they aggregate into an EEOC pattern-and-practice case.
How is Mobley v. Workday risk mitigated for skills-classification software?
Mobley v. Workday Northern District California 2023 class action concerns AI bias in HR recruitment software against 40+ candidates (ADEA Age Discrimination). The precedent applies analogously to skills-based internal-mobility ranking and career-path simulation by AI software because the same statistical-discrimination reasoning extends to age-bias in skills-classification screening - particularly when training data underrepresents 40+ employees in emerging skills clusters. Risk mitigation for Skills-Career-Profile: (1) Bias-Audit-Trail with Demographic Parity + Equal Opportunity tests quarterly across all protected classes including ADEA cohort, (2) training data audit on age bias with Synthetic Data Augmentation on senior employee skills-tagging data, (3) EU GDPR Article 22 (3) right to challenge for every automated skills-classification recommendation including for negatively ranked candidates, (4) Title VII + Equal Pay Act-compliant audit-trail with mandatory rationale documentation per skill assignment, (5) EEOC enforcement guidance on skills-based task-assignment discrimination, (6) FRIA Fundamental Rights Impact Assessment EU AI Act Article 27 before deployment of skills-classification software. Cross-Reference Workday Skills Cloud Pay Equity Ready module + Eightfold AI bias mitigation tooling + Cornerstone OnDemand Skills Graph + Microsoft Viva Skills bias audit.
What cross-references to other HR agents exist?
Performance-Review-Documentation-Agent provides performance ratings + 360 feedback as skills-extraction input. Promotion-Process-Agent Cluster #45 reuses the Skills Equity Analysis Engine for promotion equity analysis. Compensation-Benchmarking-Agent Cluster #26 receives validated competency profiles for compensation banding. Internal-Mobility-Match-Agent receives skills-fit rankings against open requisitions. Learning-Path-Recommendation-Agent receives skills-gap analysis + recommended-learning-path output. Succession-Planning-Agent receives validated competency profiles + career-path simulations for succession candidate identification. Workforce-Planning-Agent receives skills-cluster aggregates for headcount-plan calibration. HR-Document-Management-Agent Cluster #36 archives Title VII + Equal Pay Act-compliant skills-classification rationales 7 years IRS recordkeeping. Audit-Compliance-Agent Cluster #22 verifies EU AI Act Article 26 deployer obligations + DPIA + FRIA consistency on skills-classification software. People-Analytics-Agent reuses Skills Equity Analysis Engine for organizational skills-gap reporting.
What Happens Next?
30 minutes
Initial call
We analyse your process and identify the optimal starting point.
1 week
Discover
Mapping your decision logic. Rule sets documented, Decision Layer designed.
3-4 weeks
Build
Production agent in your infrastructure. Governance, audit trail, cert-ready from day 1.
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.