AI-Data-Foundation-Check 2026
A practical self-assessment for data and AI leaders that reveals whether your data infrastructure reliably supports AI projects—or is quietly undermining them.
These companies already trust in Goldright
40%
better regulatory compliance scores through MDM
70%
less effort in AI data preparation
99,9%
Data accuracy with golden records as the foundation for AI
What you can expect
9 Pages. 6 Dimensions. Your AI-Readiness.
The AI Data Foundation Check provides more than just a result—it provides a clear roadmap.
Self-Assessment: 10 questions on AI-readiness
Identify blind spots in your data architecture—with a specific score for each dimension.
Data dimensions for AI-success
Quality, consistency, governance, etc. — learn how to measure each aspect accurately and improve them in a targeted manner.
Quick Wins: Immediate measures with measurable impact
Concrete steps you can take right away—without a large budget. Prioritized based on cost-benefit ratio.
Your personal AI-readiness-roadmap
Based on your score: prioritized recommendations—from data cleansing to AI integration.
Stop Hallucinating.
Start Executing.
Your AI is only as good as the data it’s based on. The AI Data Foundation Check uses 10 targeted questions to show you where you stand today—and how you can make rapid progress.
9-page practical guide as a ready-to-use PDF
Evaluation score for all data dimensions
Ready-to-use roadmap template
100% free
What Data Leaders say
With Goldright Legal Entity Manager, we can now access a wide range of information about our companies, including their contracts and documents, at the click of a mouse. The versioning function is particularly helpful, as it also allows historical data to be backed up and retrieved.
Kristiana Steiner
Legal Department and Compliance, Grazer Wechselseitige Insurance AG
Goldright is easy to use and allows us to continuously access up-to-date data on all areas of our holdings dossier. This is indispensable for an international, rapidly growing group like Bühler.
Maja Krapf
Head of Legal Services, Bühler Group
A product that combines functionality and user-friendliness wonderfully. Data maintenance and the subsequent output are possible at the push of a button. A great support in daily work, where the participations division is a data provider for many other specialist departments.
Tatjana Skalé
Legal Entity Management, Raiffeisen State Bank of Styria
With Goldright Legal Entity Manager, we can now access a wide range of information about our companies, including their contracts and documents, at the click of a mouse. The versioning function is particularly helpful, as it also allows historical data to be backed up and retrieved.
Kristiana Steiner
Legal Department and Compliance, Grazer Wechselseitige Insurance AG
Goldright is easy to use and allows us to continuously access up-to-date data on all areas of our holdings dossier. This is indispensable for an international, rapidly growing group like Bühler.
Maja Krapf
Head of Legal Services, Bühler Group
A product that combines functionality and user-friendliness wonderfully. Data maintenance and the subsequent output are possible at the push of a button. A great support in daily work, where the participations division is a data provider for many other specialist departments.
Tatjana Skalé
Legal Entity Management, Raiffeisen State Bank of Styria
Frequently asked Questions about the AI-Data-Foundation-Check
- Master Data Management (MDM) is the centralized, cross-system management of key business data—such as information on customers, products, suppliers, and organizational units. The goal is to maintain a consistent “golden record” for each data object as a single source of truth, thereby providing a reliable data foundation for reporting, automation, and AI.
- Master data is the central, permanent core data of a company—customers, products, suppliers, and organizational structure. It forms the foundation of every AI initiative: AI models and agents can only deliver reliable results if their data is complete, consistent, and up-to-date. Poor-quality master data leads to incorrect automation.
- Excel spreadsheets for master data are prone to errors, lack version control, and quickly become inconsistent as soon as multiple departments and systems are involved. This leads to duplicates, conflicting data, and a lack of traceable history. A master data management system creates a centralized, validated, and AI-ready database.
- Master Data Management creates the consistent, trustworthy data foundation that AI requires: one “golden record” per object, documented data provenance, and enforced governance rules. This enables AI agents and automation tools to access reliable master data and deliver reproducible, verifiable results.
- No. The AI Data Foundation Assessment is intentionally designed so that it can be completed even without in-depth MDM expertise. It is aimed at data leaders, CDOs, CIOs, and project managers who want to realistically assess the status of their data infrastructure.
- The 10 questions in the self-assessment can be answered in 15–20 minutes. However, depending on how thoroughly you want to conduct the analysis, the evaluation may take longer.
- Yes, it’s completely free. All you need to do is provide your business email address so we can send you the PDF and provide you with more information if you’re interested.
- You’ll receive the PDF immediately via email and can start the self-assessment. In addition, you have the option to book a free 30-minute initial consultation with one of our MDM experts to discuss your results and define next steps.
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