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Research & Analysis

Analytical reports, operational frameworks, and research notes from WBA's independent practice.

AI Adoption vs AI Maturity: What Companies Get Wrong

AI Adoption vs AI Maturity: What Companies Get Wrong

April 22, 2026 AI Strategy, Operational Reliability

Most organizations confuse AI adoption with AI maturity. Adoption is a procurement event — maturity is an institutional learning process that cannot be purchased or rushed. This analysis examines the five most common mistakes and what the journey from experimentation to operational capability actually requires.

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When Agent Skills Lose to Simpler Guidance

When Agent Skills Lose to Simpler Guidance

April 21, 2026 AI Strategy, Decision Contexts

A local Sigil benchmark found that, for summary and validation work, a small always-on guidance layer plus MCP outperformed manual invocation of a dedicated agent skill.

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Why Most AI Projects Fail in Companies (7 Hidden Causes)

Why Most AI Projects Fail in Companies (7 Hidden Causes)

April 15, 2026 AI Strategy, Operational Reliability

Global AI investment surpassed $200 billion in 2025, yet 60-80% of enterprise AI projects fail to deliver value. The bottleneck is not computational — it is organizational. This analysis examines seven structural patterns that prevent AI initiatives from succeeding, from the readiness illusion to absent feedback loops.

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The Cognitive Infrastructure Gap: Why AI Adoption Doesn’t Equal AI Maturity

The Cognitive Infrastructure Gap: Why AI Adoption Doesn’t Equal AI Maturity

February 14, 2026 AI Strategy, Decision Contexts

Based on WBA market observations, over 70% of organizational AI activity remains trapped in conversational interfaces. This analysis introduces a three-stage maturity framework, a self-assessment diagnostic, and an economic model for understanding the gap between AI adoption and AI orchestration.

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