Abstract: This article advances an applied framework for adaptive management in agricultural enterprises grounded in the dynamic-capabilities perspective. It addresses a persistent gap between declarative aspirations to «be flexible» and the organizational ability to reliably convert environmental signals into coordinated managerial actions. Instead of complex econometric tooling, the study focuses on the microfoundations that make adaptability repeatable in practice: formalized artifacts (SOP/SLA, trigger maps, decision logs), clear decision rights (RACI), short learning cycles (after-action reviews), and basic digital observability (unified data sources and operational dashboards).

Conceptually, the framework specifies the sensing–sensemaking– seizing–reconfiguring chain and shows how it becomes an operational routine rather than a one-off crisis response. Two implementation instruments are proposed. First, a maturity matrix across six dimensions–environment scanning, scenario rules, process architecture, digital observability, decision rights, and organizational learning–helps diagnose current practice and plan progression from ad hoc responses to institutionalized routines. Second, a vertical algorithm describes how weak signals are captured, interpreted in short stand-ups, translated into pre-approved options (contracts, logistics routes, production switches), and executed through modular processes, with feedback embedded in SOP/SLA updates.

The contribution is twofold: (i) a theoretical operationalization of dynamic capabilities through concrete organizational artifacts and triggers; and (ii) managerial guidance that is lightweight to deploy and scalable across farm sizes. Limitations include the qualitative nature of evidence and the focus on the Ukrainian context. Future research may quantitatively assess cycle-time reductions and extend the framework to supply-chain-level coordination and climate/infrastructure risk integration.