Compounding these issues was underlying data challenges such as inconsistencies in metadata, disconnected systems, and variable data quality, created inefficiencies that hindered progress. Without role-specific enablement or a clear transformation roadmap, the organization struggled to move beyond isolated pilots and realize the full potential of enterprise-wide AI adoption.
Solution: A structured AI-Readiness Assessment
Amplifi conducted a comprehensive AI-readiness assessment using its proprietary framework, built on the DCAM model. Through structured interviews with leaders across digital, data, and business units, Amplifi evaluated six key dimensions of AI maturity: Vision and Strategy, Architecture and Ecosystems, Execution and Realization, Governance and Control, People and Culture, and Quality and Assurance.
The global manufacturer emerged from the AI-readiness assessment with an average score of 2 out of 6. The assessment established a clear baseline of readiness and surfaced actionable insights. Amplifi recommended defining an enterprise-wide AI vision, forming a cross-functional steering committee, and standardising metadata and integrations. Role-based training programmes were proposed to build AI literacy, while a Responsible AI governance model was outlined to ensure ethical and compliant adoption.
Building on these findings, Amplifi developed a phased roadmap to guide transformation over the next three to five years. The roadmap focused initially on strategy definition, governance setup, and pilot execution, progressing later towards infrastructure development, expanded skillsets, and embedding AI into core workflows through predictive analytics, natural language processing, and computer vision.
Result: A roadmap for transformation
The roadmap identified three to five high-value pilot opportunities, including automated data enrichment, marketing content optimization, demand forecasting, defect detection, and personalized recommendations. These early pilots delivered tangible benefits such as faster product attribute completion, improved creative content generation, and measurable efficiency gains.
With over 110 product data recommendations aligned to the roadmap, the global manufacturer is now well-positioned to unlock high-value use cases such as automated enrichment, marketing content optimization, demand forecasting, defect detection, and personalized recommendations.
Stakeholders across the organization have expressed strong enthusiasm for the next phase, underscoring the momentum and trust built with Amplifi.
Ready to see your organization’s readiness for AI?
Amplifi’s deep expertise in data management and AI strategy enabled the global manufacturer to move from fragmented experimentation to a structured, scalable approach. The partnership established a strong foundation for responsible AI adoption, aligning technology with business goals, and empowering teams to innovate with confidence.
Whether you're exploring AI readiness, building a data strategy, or scaling AI across your organization, Amplifi can help. Get in touch with our team to start a conversation about how we can support your journey.
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