Join the Founding Cohort
Help us build Europe’s first AI Competence Benchmark. Your data fine-tunes the open-source Twin Ladder Standard — and you receive the full Executive Report (€990 value) at no cost.
What you get
- Full Twin Ladder Assessment (41 structured questions)
- Executive-grade AI Competence Report with radar chart
- Risk exposure analysis and pillar-by-pillar recommendations
- Benchmark position against industry peers
- Founding Cohort recognition and early-adopter status
- Priority access to future Twin Ladder products
What you give
- 30 minutes of your team's time to complete the assessment
- Permission to include anonymised data in aggregate benchmarks
- Brief feedback survey on the assessment experience
Apply now
Frequently Asked Questions
What is the Twin Ladder Assessment?
A structured 41-question evaluation that measures your organisation's AI competence across 6 pillars: Awareness, Policy & Data Protection, Training, Tools, Evidence, and Governance. It produces an executive-grade report with radar charts, risk exposure analysis, and actionable recommendations.
How long does the assessment take?
Approximately 25-30 minutes. You can save progress and return later.
What happens to my data?
Your individual results are confidential. We use anonymised, aggregate data to build industry benchmarks. Your company name is never shared without explicit permission.
Why is this free?
We're building the first AI competence benchmark for European organisations. Your participation helps establish baselines that benefit everyone. In return, you receive the full €990 Executive Report at no cost.
What is 'Founding Cohort' status?
The first 50 organisations to complete the assessment earn Founding Cohort status: permanent recognition, priority access to future products, and a voice in shaping the benchmark methodology.
Who should complete the assessment?
Ideally someone with visibility across your organisation's AI usage — a CTO, Head of Legal, DPO, or similar role. The questions span technology, policy, training, and governance.