Building Your AI Governance Framework Before Regulators Do
Why waiting for AI regulations to act is a losing strategy. A 90-day roadmap to build proactive governance with accountability structures and risk classification.
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Article Series
AI in the Real World
Practical guides for AI adoption, governance, and implementation in business. Not hype or fear — actionable frameworks for organisations navigating the EU AI Act, vendor evaluation, integration challenges, and ROI measurement.
8 Articles · 2 Sections
Section I
Governance & Compliance
The EU AI Act Decoded: What Greek Businesses Need to Know
Practical breakdown of risk categories, compliance timelines from 2024-2027, penalties, and step-by-step actions for SMEs.
Read ArticleAI Vendor Evaluation: How to Spot the Snake Oil
Technical due diligence checklist for AI procurement. Red flags, proof-of-concept testing, and contract clauses that protect buyers.
Read ArticleYour AI Is Only as Good as Your Data: A Data Governance Reality Check
Data quality dimensions, bias detection, GDPR requirements for AI data, and a practical improvement roadmap.
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Implementation & Operations
AI Integration Patterns: Connecting AI to Legacy Systems Without Breaking Everything
API gateways, change data capture, RAG, event-driven architecture, and hybrid approaches with security considerations.
Read ArticleMeasuring AI ROI: Cutting Through the Hype Metrics
Total cost of ownership, meaningful metrics for different AI types, A/B testing, and realistic ROI timelines.
Read ArticleAI Change Management: Why Your Team Isn't Using That Expensive AI Tool
Resistance factors, four-phase change management framework, strategies for different resistance patterns, and adoption metrics.
Read ArticleThe AI Maturity Model: Where Is Your Organisation on the Journey?
Five-level maturity model with self-assessment framework covering strategy, data, technology, talent, and governance.
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