Redefining EMERALD: Institutional GenAI Maturity and Professional AI Fluency Alignment

Abstract

The EMERALD Generative AI Capability Maturity Model for Online and Adult Learning (Chukhlomin, 2024a) provided a five-level, five-KPA framework for assessing institutional readiness to integrate generative AI technologies. Since its publication, two developments necessitate revision: first, the baseline assumption that institutions occupy a “pre-generative AI” stage no longer reflects empirical reality, as most institutions in the model’s target population have initiated some form of GenAI adoption; second, the introduction of Professional AI Fluency (PAF-Business) as an individual-level capability framework (Chukhlomin, 2026) creates a requirement for explicit alignment between individual competency development and institutional maturity. This working paper presents EMERALD 2.0, a redesigned institutional maturity model that (a) repositions the original Level 1 content as a digital-readiness entry precondition, (b) redefines Levels 1–3 around organizational AI literacy, managed adoption, and institutionalized professional AI fluency, (c) establishes a PAF–EMERALD alignment matrix specifying, for each of the eight PAF-Business pillars, the individual capability expectations and institutional enablers required at each maturity level, and (d) provides architectural characterization of Levels 4–5 as structural transformation toward agent-enabled orchestration, with full KPA specification reserved for a subsequent publication. The paper maintains EMERALD’s original five KPAs and five-level architecture while updating definitions, evidence anchors, and the relationship between individual and institutional maturity. The EMERALD-RING institutional-context extension (Chukhlomin, 2024b) is acknowledged as a complementary layer and reserved for integrated treatment in future work.

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