Proceedings of the International scientific and practical conference ―New York Global Science Conference 2026‖ (March 6-8, 2026) / Publisher website: www.naukainfo.com. – New York, USA, 2026. - 250 p.

16 reproducibility, governance) and converts foresight outputs into measurable actions through governance triggers and benefit realization tracking [6]. The innovation of ProgramOps lies in explicit ―handoff protocols‖ between layers: diagnostic findings define which uncertainties are strategic (what must be stress-tested), foresight scenarios define which indicators must be monitored (what early warnings matter), and governance gates link both streams to execution decisions (what changes now). Practically, this enables a closed-loop mechanism where enterprises continuously: (i) diagnose operational reality, (ii) frame plausible futures and strategic options, (iii) execute prioritized actions with clear ownership, and (iv) update both the diagnostic baseline and scenario assumptions through learning loops. This addresses the impact pathway gap identified in foresight research by making implementation traceable from data to decisions to outcomes, while improving resilience and development capacity under crisis conditions. Conclusions Implementing diagnostics and foresight as an enterprise program under global crises requires more than adopting individual methods or conducting episodic foresight exercises. The current research and practice increasingly converge on the need for embeddedness, institutional design, and feedback loops, but a persistent gap remains in integrating digital foundations (data governance, scalable diagnostics, production-grade analytics) with foresight routines and strategy governance. The proposed Diagnostics-and-Foresight ProgramOps concept addresses this gap by providing an integrated operating model that links diagnosable baselines, institutionalized foresight cycles, and execution learning loops, enabling enterprises to convert anticipatory insights into measurable development outcomes under turbulent conditions. REFERENCES: 1. Monteiro, B.; Dal Borgo, R. Supporting Decision Making with Strategic Foresight: An Emerging Framework for Proactive and Prospective

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