For decades, manufacturers have pursued operational excellence through automation, ERP implementation, and process optimization.
Today, Artificial Intelligence (AI) represents the next phase of transformation.
However, according to Naresh K. Sharma, a seasoned finance and business leader with nearly three decades of experience in scaling manufacturing enterprises, the biggest challenge is not AI adoption it is AI readiness.
Many organizations are investing in AI, but fragmented master data, inconsistent definitions, disconnected workflows, and weak data governance continue to limit meaningful outcomes. Without a robust digital foundation, even the most advanced AI solutions struggle to deliver reliable insights.
Drawing on his experience leading ERP transformations and building integrated MIS frameworks, Sharma believes operational excellence begins with disciplined digitalisation rather than technology alone. AI is only as effective as the quality of the operational and financial data supporting it.
This makes the Chief Financial Officer central to the transformation. With visibility across procurement, production, inventory, sales, and financial performance, the CFO is uniquely positioned to align business processes, governance, and enterprise-wide decision-making.
Readiness begins with establishing relevant KPIs, identifying the true drivers of revenue and cost, and building standardized master data. Consistent definitions, structured categorization, and clean historical data create the foundation for predictive analytics, simulation, and scenario planning. Without this discipline, organizations risk generating inconsistent and unreliable outputs.
Sharma believes organizations often overlook this critical groundwork. AI does not replace strong business processes it strengthens them. Supported by standardized data and robust governance, it evolves from a reporting tool into a strategic capability that enhances forecasting, optimizes operations, and enables faster, data-driven decisions.
As manufacturers navigate increasing complexity and competitive pressures, AI will play a defining role in shaping future operations. Yet, organizations that realize its full potential will be those that first invest in digital discipline.
In Sharma’s view, operational excellence in the AI era will be defined not by the sophistication of algorithms, but by the quality of data, governance, and leadership that powers them with the CFO leading that transformation.
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