Governance & Quality
Structure the governance of your data and AI applications.
The AI Act is now in force. Are your AI practices documented, classified and compliant? We put in place Data and AI governance frameworks that protect you during regulatory audits, secure your data and strengthen the trust of your clients and partners.
+150 companies supported
— 5/5 on Google
benefits / impact
What it delivers
Tangible results for your organization, measurable from the very first weeks of the engagement.
01
Regulatory compliance before penalties hit
Your AI systems are classified by risk level, documented and audited against AI Act requirements. You're ready when the regulator knocks on the door, not after.
02
Full traceability of your data and models
Who accessed which data, which model made which decision, and on what basis. Every action is tracked, documented and auditable.
03
The trust of your stakeholders
Clients, partners, investors and the executive committee: everyone wants guarantees on how you use AI and data. Governance turns a reputational risk into a competitive advantage.
04
Teams who know what they're allowed to do
No more gray areas. Every business unit has clear rules on the use of data and AI, with defined approval processes and assigned responsibilities.
05
Governance that doesn't hold back innovation
The framework we put in place is designed to secure without paralyzing. Data and AI teams can keep moving fast within a controlled scope.
Chapters
Our areas of expertise
The skills and know-how we bring to deliver results in this area of expertise.
Tools / Partnerships
How we put this expertise into practice
We rely on proven governance methodologies and market-leading tools, tailoring each setup to the size, industry and maturity of your organization. No rigid theoretical framework: an operational framework that works.
Amazon Web Services
Google Cloud
Azure
Apache Airflow
Power BI
Amazon Web Services
Google Cloud
Azure
Apache Airflow
Power BI
Amazon Web Services
Google Cloud
Azure
Apache Airflow
Project types
What we deliver
Operational deliverables, not recommendations. Here are the engagement formats we deploy in this area of expertise.
01
AI Act compliance audit
A complete inventory of your AI use cases, classification by risk level, gap analysis against regulatory requirements and a prioritized remediation plan. Delivered in 6 to 10 weeks.
02
Data governance program
Setting up the complete organizational framework: roles and responsibilities, data policies, quality standards, cataloging tools and control processes. Rolled out in 3 to 6 months depending on scope.
03
AI governance framework
Defining the rules for developing, validating and deploying AI models to production: validation committee, mandatory documentation, bias monitoring and approval workflow.
04
GDPR compliance for Data & AI processing
Audit of existing processing activities, records of processing, data protection impact assessments (DPIAs) on high-risk AI systems and implementation of rights management processes.
Business Cases
They structured their Data & AI governance with us
We don't deliver POCs. We deliver systems that work, with a measurable impact on our clients' business.
Your questions, our answers
Everything you need to understand our approach, how we work and what you can expect from working with us.
What is the AI Act and how do you comply with it?
The AI Act is the European regulation that classifies and governs AI systems according to their risk level, with obligations for documentation, transparency and human oversight. Diametral delivers an AI Act audit in 6 to 10 weeks that maps your AI use cases, identifies high-risk systems and rolls out the compliance plan.
What does a Data & AI governance program include?
A governance program covers data access policies, quality, model traceability, human oversight, bias management and regulatory documentation. Diametral structures these elements in 3 to 6 months through a clear operating model, defined Data Owner and AI Steward roles and regular review committees.
How long does an AI Act audit take?
A Diametral AI Act audit takes 6 to 10 weeks depending on the number of AI systems to be analyzed. The deliverable includes a risk classification per use case, a list of compliance gaps, a prioritized action plan and pre-filled regulatory documentation templates to speed up actual compliance.
How can AI governance and innovation go hand in hand?
Good governance accelerates innovation instead of slowing it down, by giving teams a clear framework to experiment safely. Diametral designs supervised sandboxes where Data Scientists can test their models quickly, then applies compliance checkpoints before anything goes into production.
What is the difference between Data Governance and AI Governance?
Data governance covers data quality, access and traceability; AI governance additionally addresses algorithmic bias, human oversight and AI Act compliance. Diametral deploys both layers consistently, because compliant AI built on ungoverned data remains exposed to regulatory risk.
contact
Are you ready for the AI Act?
A quick diagnostic to assess your regulatory exposure and identify the first actions to take.