Türkiye AI Maturity Index 2026 — Methodology

The Türkiye AI Maturity Index 2026 is a public reference methodology that measures the AI maturity of organisations of any size operating in Türkiye, using a behaviorally anchored framework across eight dimensions.

It is designed for use in investment decisions, corporate transformation roadmaps and regulator readiness. For academic citation, see the citation format at the bottom of this page.

1) AI Strategy & Governance — vision, sponsorship, portfolio, KPI linkage.

2) Data Maturity — quality, catalog, lineage, labelling, KVKK / GDPR compliance.

3) Technology & MLOps — infrastructure, deploy, model registry, observability, AI security.

4) Talent & Culture — internal team, AI literacy, change management, partner network, retention.

5) Process & Operational Integration — workflow embedding, automation, agentic, time-to-prod.

6) Security, KVKK & EU AI Act Compliance — risk framework, DPIA, AI Act classification.

7) Ethics & Responsible AI — ethics framework, bias management, explainability, transparency.

8) Business Value & Measurement — production use-case count, ROI, customer impact.

Dimensions synthesise the Gartner AI Maturity Model, MIT Sloan 'Becoming an AI-Powered Organization', McKinsey State of AI 2024/2025 and Türkiye's 2024-2026 national AI strategy priorities.

The index has 8 dimensions × 5 questions = 40 questions. Each question presents five distinct 'behavioral anchors':

• 0 — Absent / ad-hoc

• 25 — Reactive / siloed

• 50 — Defined / repeatable

• 75 — Managed / measured

• 100 — Optimised / institutionalised

Unlike Likert 'Agree / Disagree' scales, BARS reduces respondent subjectivity and the likelihood that different respondents rate the same situation differently. The method is standard practice in clinical psychology and performance assessment literature.

Dimension score = arithmetic mean of the 5 questions in that dimension (0-100).

Overall score = equally-weighted mean of the 8 dimension scores (0-100, rounded).

Dimensions are weighted equally because no single dimension can carry the others in maturity — strong 'Data' maturity cannot reach production without 'Governance', and vice versa.

Level bands: 0-25 Aware · 26-45 Exploring · 46-65 Piloting · 66-85 Operational · 86-100 Strategic. Bands align with the Gartner five-level model.

The index provides modelled median (P50) and top-quartile (P75) overall scores for 10 sectors. The benchmark data synthesises:

• McKinsey State of AI 2024 sector quintile distributions

• BCG AI at Scale 2024 top-10% gap report

• Türkiye national AI Strategy 2024-2026 sector priorities

• Anonymised data from 60+ corporate engagements (2022-2026)

Sector data is a *directional* comparator, not a statistical survey. A broader public Türkiye AI maturity dataset is planned as an annual report from Q4 2026 onwards.

Risk flags appear on the result page when one of the following answer patterns is detected:

• KVKK compliance risk: 'Personal data / KVKK' question score ≤ 25.

• EU AI Act exposure: 'EU AI Act readiness' ≤ 25 + sector is finance/healthcare/public.

• AI security gap: 'AI security from design' ≤ 25.

• Pilot purgatory: Governance < 50 and production use-case count ≤ 1-3.

• Talent bottleneck: Talent dimension score < 30.

Risk flags are non-judgemental; they link to relevant guidance pages.

The index is a self-assessment tool. It does not replace an independent audit or a corporate readiness report.

Different dimensions may be answered with different accuracy depending on the respondent's role; the ideal use is a multi-role (C-level, technical, operations) collective filing.

Sector benchmark data is *modelled*; it carries statistical variance. Direct investment decisions require independent verification.

The index is calibrated to the Türkiye context; it may not transfer one-to-one to the US or EU markets.

v2.0 — 2026 Q2: 8 dimensions × 5 BARS questions; calibrated by sector + size + decision role.

v1.0 — 2025 Q1: 5 dimensions × 4 Likert questions; no sector calibration. (retired)