Ingram Micro Launches Ai Enablement Partner Program
An AI Maturity Assessment is a structured evaluation process designed to measure an organization’s readiness and capability to adopt and scale AI technologies effectively.
Ingram Micro, a global B2B technology platform company, has launched the XvantageTM Enable | AI program to help customers and vendors adopt and scale AI-powered services.
The program offers AI Maturity Assessments to evaluate readiness and identify growth opportunities, AI Basecamps for foundational knowledge, and access to Global Centers of Excellence to demonstrate AI solutions.
It supports partners in deploying solutions like Microsoft 365 Copilot, Copilot Studio, Azure AI services, and Palo Alto Networks’ AI-driven security portfolio. The initiative aims to accelerate AI adoption with practical use cases, driving business outcomes across industries.
AI Maturity Assessment
An AI Maturity Assessment is a structured evaluation process designed to measure an organization’s readiness and capability to adopt and scale AI technologies effectively.
It helps businesses understand their current level of AI adoption, pinpoint gaps, and create a strategic roadmap for integrating AI to meet business objectives. The assessment places organizations on a maturity spectrum, ranging from initial stages with limited AI awareness to advanced, innovative stages where AI drives enterprise-wide transformation. By examining key aspects of an organization’s operations, infrastructure, and strategy, the assessment provides a comprehensive view of AI readiness and actionable steps for progress.
The assessment process begins with data collection, where stakeholders, such as IT teams, business leaders, and data professionals, are interviewed to understand existing AI initiatives, systems, and processes. Documentation like strategic plans and data policies is reviewed, and surveys or audits may be conducted to gather insights. The organization’s capabilities are then benchmarked against industry standards or a maturity model to identify strengths, such as robust cloud infrastructure, and weaknesses, like limited AI expertise.
A gap analysis highlights areas needing improvement, prioritizing them based on business goals and feasibility. The final output is a detailed report or dashboard summarizing the organization’s maturity level, key findings, and a tailored roadmap with short- and long-term recommendations, such as adopting specific AI tools or upskilling staff.
The evaluation typically focuses on several critical dimensions. It assesses whether the organization has a clear AI strategy aligned with its business goals and whether leadership supports AI innovation. Data readiness is another key focus, examining the availability of high-quality, accessible, and well-governed data, as well as systems for data security and compliance.
By leveraging Ingram Micro’s Global Centers of Excellence and AI Basecamps, partners receive tailored guidance to move from exploratory AI stages to operational or transformational levels. The benefits of these assessments include providing clarity on AI capabilities, aligning initiatives with business priorities, mitigating risks like data quality issues, and enabling scalability for enterprise-wide AI adoption.
