Stop building IT architecture for yesterday’s AI requirements

AI & IT, Jean-Philippe

Key TakeawaysMost enterprise IT architectures were designed before AI-native platforms existed. By 2030, 40% of enterprise applications will run on AI-native platforms (Gartner, 2026), yet only 2% do today. Organizations that delay structural redesign now are not...

Hidden Cost of Fragmented Record-to-Report in Multi-Entity Finance

carole, Finance Streamlining

The hidden cost of an unstructured Record-to-Report process in multi-entity finance operations Key TakeawaysAn unstructured Record-to-Report process in a multi-entity environment creates inefficiencies, delays, and unreliable data. Top-performing finance teams spend...

Why Your AI Project Failed (And Why You Need External Expertise to Fix It)

AI & IT, Jean-Philippe

Key TakeawaysMost AI projects fail not because of bad technology, but because of weak governance, misaligned ownership, and underestimated complexity. Forrester estimates 1 in 4 IT leaders will be asked to rescue a failed AI initiative in 2026. The fix requires...

Transformation Is a Never-Ending Process — Manage It That Way

jean-christophe, Program Management

Key TakeawaysTransformation is a never-ending process, not a finite program. Organizations that still manage it episodically face structural burnout and governance failure. The fix requires classifying transformations and matching each to the right operating model....

AI HR Assistants: 3 Errors That Sabotage Adoption (and how to avoid them)

HR Performance

Key TakeawaysIntelligent HR assistant deployments fail in 69% of cases due to lack of adoption, according to Dynatrace 2026. The three critical errors: over-investing in technology without business co-design, top-down communication generating distrust, and absence of...