Topic

Maturity Model

A maturity model is a structured framework that assesses an organization's capabilities in a specific domain by placing them on a progression scale, typically ranging from ad-hoc or initial stages to optimized or advanced levels. In AI governance, maturity models help enterprises evaluate their current state of AI risk management, compliance processes, and responsible AI practices, then identify gaps and roadmap improvements. These models are critical for demonstrating progress to stakeholders, regulators, and internal leadership while ensuring systematic advancement in AI governance capabilities.

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ResearchGlobal2026-06-06

Avanade's Layered AI Control Framework Offers a Maturity-Based Blueprint for Enterprise Governance Programs

Avanade has published a practitioner-focused session describing its proprietary AI Control Framework, which operates as a maturity model to guide organizations through quick-start governance, full program design, and managed long-term oversight. The framework organizes AI governance across four layers: risk identification, data governance, performance management, and oversight accountability. Compliance teams can use the structured approach to benchmark current capabilities and prioritize control investments.

maturity model governance program responsible AI oversight accountability compliance readiness