ETHORITY®State of AI Business Value
Where is AI creating measurable business value, and where does value remain modeled or unproven?
Discuss the research question →RESEARCH PROGRAMME
Questions we are preparing to test.
Sixteen research questions and the methods being prepared to investigate them. A planned study or accepted design is not a completed experiment, published finding or customer result.
AI Agent Readiness Index
What organizational, technical, authority and assurance conditions distinguish deployable agents from attractive demos?
Discuss the research question →AI Project Economics Benchmark
What does AI actually cost and what converts released capacity into measurable value?
Discuss the research question →Enterprise AI Evidence Gap Study
Which important AI claims can organizations actually evidence?
Discuss the research question →EU AI Act Operational Readiness Study
How prepared are organizations to operationalize AI Act obligations beyond policy/checklist completion?
Discuss the research question →AI Vendor & Agent Transparency Benchmark
How much decision-relevant information do AI providers disclose about models, agents, data, evaluations, security, licensing and change?
Discuss the research question →AI-First Organization Benchmark
What operating capabilities distinguish organizations that repeatedly turn AI into outcomes?
Discuss the research question →Customer Service AI Economics Study
Which customer-service AI operating patterns create value without degrading service quality or human control?
Discuss the research question →Administrative Work AI Study
Where does AI reduce repetitive administrative work, and when are measurement, rules or human judgment better than AI?
Discuss the research question →Operational AI Governance Gap Study 2026–27
What is the gap between documented AI governance and organizations’ ability to govern live AI operations with Mission, authority, evidence, change monitoring and outcome economics?
Discuss the research question →Calibrated Decision & Qualified Reuse Benchmark
Which source-native, reuse, deterministic, small-model or hybrid path minimizes full cost per accepted-correct result under the actual task, quality and control contract?
Discuss the research question →Human–AI Collaborative Operating Model Study
Which human–AI collaboration and work-allocation patterns improve team decision quality, execution, learning and business outcomes without eroding human authority?
Discuss the research question →AI Operating Excellence & Value Realization Benchmark
Which operating-system capabilities most consistently distinguish AI experimentation from repeatable, measurable value realization?
Discuss the research question →AI Estate Valuation & Capital Efficiency Method
How should an enterprise value its portfolio of models, agents, datasets, AI workflows and AI projects after fully loaded cost, capacity conversion, evidence, dependency and durability are considered?
Discuss the research question →AI Data Asset Qualification & Pricing Benchmark
Which provenance, rights, quality, freshness, coverage, task utility, integration and commercial variables determine whether a dataset/knowledge asset is usable and valuable for AI?
Discuss the research question →AI Business Operating Intelligence — Category & Decision-Continuity Study
Does connecting source/version-aware AI market intelligence to a business Mission and persistent decision context improve decision quality, reuse, operating continuity and economics versus generic research or point-in-time consulting?
Discuss the research question →A source edition is part of the method
This register describes prospective work. Publication would need the reviewed design, permitted sources, actual observations, analysis and limitations. Synthetic inputs can rehearse a protocol; generated scores cannot fill an experimental-results chart.