Understanding what creates value — and what doesn't.
We study real-world AI, data and transformation initiatives to understand what works, what fails, and why. These are not client case studies — they are analytical perspectives on public information and industry patterns.
Note: These analyses represent SOLVENNE's interpretation of publicly available information. They are not client engagements or verified case studies. We distinguish clearly between reported facts, published claims, and our own analysis.
AI ROI: Why Adoption Does Not Automatically Create Value
A SOLVENNE analysis of public data on enterprise AI adoption outcomes.
Analyzing publicly reported enterprise AI initiatives reveals a consistent pattern: deployment alone does not generate returns. Value creation requires strategic alignment, workflow integration, and deliberate measurement.
From Dashboarding to Decision Intelligence: A Market Evolution
A SOLVENNE perspective on why the BI industry is undergoing a fundamental shift.
The business intelligence market is evolving from retrospective dashboarding toward decision intelligence. Understanding this shift reveals why many analytics investments have underperformed — and what the next generation of data-driven decision-making looks like.
Where Enterprise AI Initiatives Actually Get Stuck
A SOLVENNE analysis of recurring patterns in AI scaling challenges.
Studying publicly reported enterprise AI outcomes reveals consistent patterns in where and why AI initiatives stall. The most common barriers are organizational, not technical — a finding with significant implications for how organizations approach AI transformation.
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