PromptFluent — Enterprise AI Governance
Why the AI era exposes the hidden debt of the SaaS decade. PromptFluent's analysis and frameworks, drawing on published research from McKinsey, Gartner, Microsoft, IBM and others.
40 pages · 16 cited sources · PDF format
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Selected Findings Cited in the Paper
18%
of respondents report an enterprise-wide council with authority over responsible-AI governance
McKinsey, The state of AI in early 20241%
of C-suite respondents describe their gen AI rollouts as mature
McKinsey, Superagency in the workplace, 202540%+
of enterprises forecast to have a security or compliance incident linked to unauthorized shadow AI by 2030
Gartner prediction, November 2025PromptFluent's research briefings, frameworks and analysis on AI debt, execution governance, and enterprise AI infrastructure, with third-party findings attributed to their original researchers.
Video Research
Watch video content on AI adoption, prompt engineering, and enterprise AI governance.
Smart People, Broken Systems
88% of organizations use AI; 78% of AI users bring their own tools. PromptFluent's case that the gap is infrastructure.
Execution Intelligence Infrastructure
An 8-component framework for execution governance and a 5-stage maturity model.
AI Governance Statistics 2026
Sourced 2026 findings on AI governance, audit readiness and shadow AI from IBM, Grant Thornton, ISACA and others.
The SaaSpocalypse Survival Guide
Why the $2 trillion SaaS repricing is your biggest strategic opportunity.
The Definitive Guide to AI Debt
9-layer taxonomy, maturity model, governance blueprint, and compounding curve for enterprise AI.
State of AI Debt 2026
Sourced findings on workslop, abandoned AI initiatives and shadow AI, attributed study by study.
AI Debt Infographic
Interactive visualization of prompt debt, AI debt, and the enterprise cost of AI execution failure.