The Enterprise AI Guide
Practical answers to the questions that decide whether an AI project succeeds — grounded in real enterprise projects, not theory.
To the blog →AI Readiness
3 guidesWhy AI Projects Fail
88% of companies use AI, only 5.5% see measurable ROI. The three real causes: missing data foundations, no workflow redesign, missing governance.
AI Readiness Quick Scan
AI readiness has six independent dimensions. Data quality alone is behind 85% of abandoned projects. The 10-minute quick scan shows where you stand.
AI Maturity
Three archetypes summarize AI maturity: Starter, Scaler, Transformer. Plus a 5-level maturity model with measurable criteria instead of gut feeling.
Use Case Prioritization
1 guideAI Governance
2 guidesBuilding AI Governance
Solid AI governance runs on three levels: strategic, tactical, operational. A minimal model with 5 roles and 6 core decisions is enough to get started.
Governance Decision Tree
Five questions determine whether an AI use case gets approved. Following the decision tree cleanly means approval in 5 business days instead of 5 months.