INTEGRATING GENERATIVE AI INTO STRATEGIC DECISION-MAKING

Abstract

Generative AI (GenAI) is rapidly reshaping how organizations sense, decide, and act. We develop a decision architecture that embeds GenAI into strategic decision-making and evaluate its empirical plausibility with public, reproducible indicators spanning five countries (USA, UK, Singapore, India, Bangladesh). Using the Government AI Readiness Index (2023), World Bank/ITU digital infrastructure indicators, and GDP per capita, we show strong associations between national AI readiness and underlying digital capacity (e.g., Internet use, fixed broadband). We complement this macro view with micro- evidence on productivity from a randomized controlled trial of GitHub Copilot (55.8% faster task completion). We synthesize governance guidance (NIST AI RMF; EU AI Act) into a practical deployment playbook. The paper includes 15 data-driven figures and an open, compilable LATEX source so results are auditable.