Diagnostic
Pay Transparency Diagnostic for Irish Employers
The EU Pay Transparency Directive lands in Irish law June 2026. AI-assisted job architecture and pay equity analysis — before the deadline forces your hand.
Why this is harder than gender pay gap reporting
Irish employers are already familiar with gender pay gap reporting under the Gender Pay Gap Information Act 2021. The Pay Transparency Directive goes significantly further. It does not just ask what the aggregate pay gap is — it asks whether employees doing the same work or work of equal value are paid equitably, broken down by gender, within every comparable group.
Answering that question requires something most Irish organisations do not have: a structured, defensible job architecture that determines which roles are comparable. Without one, you cannot comply with the Directive. With one, pay transparency becomes a governance strength rather than a compliance burden.
What the diagnostic covers
- Job architecture assessment — do you have a structured, defensible role evaluation framework?
- Pay data completeness — can you produce total compensation per employee across all components?
- Comparable role identification — AI-assisted clustering of roles performing equal work or work of equal value
- Pay equity analysis — gender pay comparison within each comparable group, controlling for legitimate factors
- Unexplained gap quantification — residual pay differences that cannot be justified on objective criteria
- Remediation modelling — cost estimates and scenarios for closing identified gaps
- Process gap analysis — recruitment, pay review, and reporting readiness against Directive requirements
How AI makes this feasible
Building a job architecture from scratch for a 500-person organisation takes four to six months using traditional consulting methods. Most Irish employers do not have that timeline or budget. AI-assisted approaches compress the analytical work without sacrificing rigour.
- —Job description parsing and standardisation across hundreds of roles simultaneously
- —Draft role evaluations against objective factor frameworks — reducing manual review by 60-80%
- —Consistency checking and outlier detection across the entire job architecture
- —Bias detection in role descriptions and evaluation scoring
- —Comparable role clustering using multi-dimensional similarity analysis
- —Multivariate pay equity analysis across all compensation components and explanatory variables
- —Remediation scenario modelling with cost and structural impact projections
AI does not replace human judgement in role evaluation or pay equity decisions. It produces a structured, auditable first draft and identifies where human attention is most needed. The result is more consistent, more defensible, and achievable within the compliance window.
Related reading
- The Pay Transparency Act in Ireland: What Employers Need to Know Now
- Why Job Architecture Is the Missing Foundation for Pay Equity
- AI-Powered Role Analysis: How Irish Employers Can Prepare at Scale
- Beyond Reporting: How AI Transforms Gender Pay Gap Analysis
- A Practical Pay Transparency Compliance Roadmap
Common questions
What does the EU Pay Transparency Directive require?
The Directive requires employers to: disclose salary ranges to candidates before or at the start of interviews, give employees the right to request pay information for comparable roles broken down by gender, ensure pay structures are based on objective gender-neutral criteria, and conduct joint pay assessments where a gender pay gap of 5% or more exists in any category of comparable roles. It goes significantly beyond existing gender pay gap reporting obligations.
When does the Pay Transparency Directive come into force in Ireland?
The Directive must be transposed into Irish law by June 2026. The deadline has not moved. Irish employers with 100 or more employees will be subject to the initial reporting obligations, with thresholds expanding over time. Organisations that have not started preparation are already behind — building a defensible job architecture takes months, not weeks.
How does AI help with pay transparency compliance?
AI accelerates the most time-consuming elements of compliance: parsing and standardising job descriptions, producing draft role evaluations against objective criteria, identifying comparable role clusters, running multivariate pay equity analysis, and detecting bias in role descriptions and scoring. Without AI, building a job architecture for a 500-person organisation takes four to six months using traditional methods. With AI assistance, the same work can be completed in six to eight weeks.
What is a pay transparency diagnostic?
Our diagnostic assesses your compliance readiness across four dimensions: (1) job architecture — do you have a structured, defensible framework for evaluating and grading roles? (2) pay data — can you produce a complete picture of total compensation per employee? (3) equity analysis — have you compared pay within comparable role groups by gender? (4) process readiness — are your recruitment, pay review, and reporting processes aligned with the Directive's requirements? The output is a clear gap analysis and remediation roadmap.
Request a Pay Transparency Diagnostic
Fixed-fee diagnostic. AI-assisted analysis. Delivered within weeks, not months.