Innovation as a Strategic Interface in a BANI Environment: Implications for Strategic Decision-Making

Abstract

Organizations operating in BANI environments (Brittle, Anxious, Non-linear, Incomprehensible) face a fundamental mismatch between established innovation management practice and the conditions under which strategic decisions are actually made. The traditional model, in which innovation teams reduce uncertainty before handing validated outputs into stable organizational systems, breaks down when the receiving system is itself in continuous flux. This paper examines how this breakdown repositions corporate innovation teams in relation to strategic decision-making and what implications that repositioning carries for how organizations maintain strategic coherence under persistent uncertainty.

The paper employs a practice-informed conceptual methodology grounded in systematic engagement with a six-year corpus of documented practitioner discourse, The Innovator's Handbook series (2021–2025), and its 2026 successor, Growth Guide: Innovation Impact in 2026. Drawing on sensemaking theory (Brown, Colville & Pye, 2015) and Teece's (2007) dynamic capabilities framework, the analysis identifies a mechanism shift from sequential handover to continuous interface.

The central conceptual contribution is the notion of the sensemaking interface as an organizational unit whose primary function is not to resolve uncertainty but to continuously translate emerging signals into informed options on which strategic decisions can be built. The paper further argues that AI and digital tools, while expanding the range of options available to innovation teams, amplify interpretive complexity rather than resolve it, making the sensemaking function more rather than less critical.

Three implications for strategic decision-making are developed: a shift from validation to interpretation, from planning to alignment, and from measuring output to measuring coherence. Together, these suggest that strategic effectiveness in BANI environments depends less on prediction and more on the quality of the interpretive loop connecting experimentation, organizational learning, and strategic intent.

The primary theoretical contribution of this paper is the concept of the sensemaking interface, which reframes innovation team function from solution delivery to continuous strategic interpretation, and proposes three corresponding shifts in how organizations approach decision-making under persistent uncertainty.