TwinLadder
Nordic Digital Solutions ApS
Executive Summary
Nordic Digital Solutions scored 38 out of 100 on the Twin Ladder AI Competence Standard, placing the organisation at the Developing stage.
The EU AI Act compliance floor is estimated at 52 points (the Developing → Implementing transition). The current gap is 14 points, which can be closed within 90 days with focused effort across training, policy, and evidence collection.
Awareness is a relative strength, while evidence collection and governance represent the most significant gaps requiring immediate attention.
Pillar Scores
Key Findings
Awareness is the strongest pillar (55) — staff demonstrate a reasonable understanding of AI concepts and EU AI Act basics, likely due to informal knowledge-sharing within the engineering team.
Tools and Policy hover just below threshold — the organisation uses several AI tools but lacks a formal usage policy or risk classification. Draft policy templates and a tool inventory would close most of this gap.
Evidence collection is critically low (18) — no systematic process exists for documenting AI decisions, vendor assessments, or compliance artefacts. This is the single largest risk area for regulatory scrutiny.
Governance structures are absent (22) — there is no designated AI officer, no AI committee, and no escalation process for high-risk AI decisions. Building a lightweight governance framework is essential before the February 2025 deadline.
Department Competence Heatmap
AI competence varies dramatically across departments. This heatmap shows per-department maturity across the six pillars, revealing where people and workflows are most exposed.
Key insight: Engineering carries most of the organisation’s AI awareness, but this knowledge has not transferred to Legal, HR, or Marketing — the departments where AI-related risk is highest. Article 4 requires competence where AI decisions affect people, not just where AI is built.
People & Workflow Literacy
AI competence is measured at the individual and workflow level — not just the organisational aggregate. This section maps where people interact with AI tools and whether they have adequate training for those specific workflows.
The gap between AI adoption (57% of staff) and AI training (9% of staff) is the organisation’s primary compliance vulnerability. Article 4 specifically requires that persons working with AI systems have “a sufficient level of AI literacy.” This is a per-person obligation, not an organisational checkbox.
Compliance Roadmap
Planned actions to close the 14-point compliance gap within 90 days.
Recommendations
Begin documenting AI tool usage, vendor due diligence, and decision rationale. Use the Twin Ladder evidence template library to accelerate setup. Target: move from 18 to 25+ within 30 days.
A formal AI usage policy covering acceptable use, prohibited applications, and data handling is the fastest way to lift both Policy (+6) and Governance (+4) scores. Template policies are available in the Twin Ladder resource library.
While awareness is relatively strong, it is concentrated in engineering. Extend AI literacy to legal, HR, and management teams through the Article 4 Compliance Course. This broadens the competence base and demonstrates organisational commitment to regulators.
TwinLadder