- Result
- Practical rules for data access, AI usage, quality checks, responsibilities, and audit-ready documentation.
- Timeframe
- 2-4 weeks
- Price anchor
- from 2,900 EUR
- Best fit
- Best when AI is already used informally and needs clear guardrails.
ConsultingServices.aiAI Consulting for SMEsService in Detail
Data & AI Governance: A solid foundation for responsible AI.
AI projects stand or fall on data quality and clear rules. I help SMEs develop a practical data strategy, meet EU AI Act requirements, and operate AI systems in a governed manner — without bureaucratic overhead.
Data & AI Governance (Fact Sheet)
Download the compact fact sheet on our governance approach.
⏳ Duration
2–6 weeks
Investment
from €2,500 (Base Framework)
Regulation
EU AI Act, GDPR
Classification included
Deliverables
Governance framework, data strategy document, risk assessment
What Data & AI Governance delivers for you
Data Quality Assessment
What data do you have? In what quality? Where do errors, gaps, inconsistencies arise — and how do we fix them?
Data Strategy
Clear rules: What may be used how and for what purpose? Which data is AI-ready, which needs preparation?
EU AI Act Classification
Which of your AI systems fall under which risk class? What are your obligations as an AI user or AI provider?
GDPR & Data Protection
AI-specific privacy review: What may the AI process? Which consents do you need?
AI Governance Guidelines
Internal guidelines for AI usage: What is permitted, what is prohibited, how are AI decisions documented?
Ongoing Monitoring
Setup of monitoring processes: How do you detect when an AI system drifts, produces erroneous outputs, or shows bias?
EU AI Act: What SMEs Need to Know Now
The EU AI Act has been in force since August 2, 2024 — with staggered deadlines. SMEs that use AI are also affected as operators, not only as providers. Particularly critical:
- High-risk AI (e.g., AI in HR, credit decisions, safety-critical systems): strict requirements from 2025/2026
- Transparency obligations: If you output AI-generated content to customers, you must label it
- GPAI models: Rules for deploying large language models
I help classify your AI systems and derive concrete next steps.
EU AI Act Audit →Frequently Asked Questions about Data & AI Governance
What is the difference between Data Governance and AI Governance? +
Data Governance covers data management and quality. AI Governance covers responsible AI deployment — risk assessment, fairness, EU AI Act compliance.
Is this only relevant for large enterprises? +
No. Especially SMEs starting to use AI in production benefit from defining clear rules early. Retroactive corrections are more expensive.
Does the EU AI Act apply to us? +
That depends on your use case. High-risk applications (HR, credit, safety) are subject to strict requirements. I help with classification.
Do I need a dedicated data strategy? +
If you plan AI projects, yes. Poor data quality is the most common reason AI projects fail to deliver.
Operate AI in a governed and compliant way?
In a free initial consultation we clarify where you stand and which governance measures are priority for your AI operations.
Request Free ConsultationConcrete Offer
What you get, how long it takes, and how risk is reduced.
Risk reduction
- Pilot before rollout
- Human-in-the-loop and fallback rules
- Documented data flow and handover
Proof material
Review sample deliverables before deciding: pilot report, implementation plan, prompt and fallback set, handover documentation.
View work examplesStandard process
- Maturity check and initial consultation
- Scoped pilot with realistic data
- Rollout decision and handover
Not included by default
External licenses, large-scale data cleanup, major ERP/CRM rebuilds, and legal case-by-case advice are scoped separately before project start.