Quick Answer
A four-stage maturity framework for evaluating AI readiness in spend management across data, workflows, governance, supplier participation, measurement, and increasing levels of autonomy.
The move toward Autonomous Spend Management is best understood as a maturity journey. Coupa’s 2026 source material describes four stages: tactical AI support, digital assistants, collaborative AI partners, and preparation for fully autonomous operations. Progress depends not only on AI capability but also on data quality, process standardization, governance, integration, supplier participation, change management, and measurement.
The report’s central finding is that readiness is multidimensional. An organization can have access to advanced AI while remaining operationally unprepared for autonomous decisions. Conversely, foundation work in data, workflow design, and governance can create immediate value while preparing the organization for more advanced AI later.
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