gradiente Data governance for AI
We organize what data your company has, who is accountable for each data set and how its quality is measured, so you can use AI on data you trust. Assessment and implementation in your priority domains, with monthly data-governance support if you need it.
You want to use AI, but your data isn't ready
The same data lives in several systems, in different versions, and when something is wrong nobody knows whom to ask.
AI is only as reliable as the data it reads. ISO/IEC 42001, the international standard for AI management systems, has a group of five controls for data for AI systems (Annex A.7), among them data quality, provenance and preparation.
The EU AI Act (Regulation (EU) 2024/1689) includes data and data governance requirements for the training, validation and testing data of high-risk AI systems (art. 10).
Data governance gives your AI that base: an inventory, clear owners and quality you can measure.
What you receive
- Critical data inventoryThe data your business depends on: where it lives, which systems use it and which of it is personal data.
- Owner and custodian mapWho decides about each data set and who looks after it day to day.
- Data governance policyYour company's rules for its data: roles, decisions and how a data quality issue gets resolved.
- Quality rules and dashboardThe rules that say when data is accurate, complete and up to date, and a dashboard that tracks them in your priority domains.
- Business glossaryWhat each key term means, so every team talks about the same thing.
- AI-ready data planWhich data your AI can use and what it still lacks against the ISO/IEC 42001 controls for data for AI systems, such as quality, provenance and preparation.
How it works
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We agree with you on which data domains come first.
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We interview your business and engineering teams and build the critical data inventory and the owner and custodian map.
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We review the quality of the priority data and present the AI-ready data plan to your leadership.
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If you decide to go further, implementation follows in the priority domains: policy, quality rules and dashboard, and business glossary, with the technical team each case requires.
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Afterwards, if you need it, we continue with monthly data-governance support.
What defines the scope
- How many data domains are in scope.
- How many source systems feed that data.
- Whether a data catalog platform is configured.
- Whether monthly support is added.
How to engage
The assessment and the implementation are contracted separately, and monthly support is added if you need it.
References
- ISO/IEC 42001:2023 · Annex A.7
- EU AI Act · Regulation (EU) 2024/1689 · art. 10, as amended by Regulation (EU) 2026/1744
Related services
AI
Which AI your company uses, what data it touches, its risks and the gap against ISO/IEC 42001.
AI governance readiness
Governance, risk and compliance
Chief information security officer (CISO), data protection officer (DPO) and governance, risk and compliance (GRC).
Fractional compliance
Governance, risk and compliance
ISO/IEC 27001, ISO/IEC 42001 and ISO 22301: from zero to prepared for certification with an accredited body.
ISO readiness
Let's talk about your company's data.
In 30 minutes we review where you stand and suggest where to start.