Resources
Resources
Analysis, perspectives and reference points to understand the trust layer for enterprise AI.
Available articles
6
Vision
Reliability before automation
Why the quality of internal assets is becoming the trust condition for AI automation.
AI industrialisation
Why AI projects stay stuck at POC
The limits of scaling AI: data quality, governance, risk, costs and business value.
AI and knowledge
Proprietary context, RAG and AI agents
Why AI models need reliable, controlled and governed internal sources.
Data quality
Data quality and AI
Why reliable business repositories are becoming a foundation for AI, analytics and IT transformation projects.
Application knowledge
Application knowledge and modernisation
Why code alone is not enough to understand a critical system: rules, decisions, dependencies and human expertise.
Technical teams
Context engineering for technical teams
How technical teams move from individual prompts to shared, structured and governed context.