Artificial intelligence (AI) has become a key priority in the boardroom and across management — and increasingly within the Office of the CFO. Business leaders are asking whether they should build AI agents, automate reporting, accelerate forecasting, or deploy new tools to improve decision making. These are important conversations, but they often overlook two fundamental questions: Can we trust the data? And where do we begin?
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Many organizations are focused on creating the intelligent assistant they have always envisioned while continuing to rely on disconnected systems, inconsistent reporting, and competing versions of the truth. Before AI can deliver meaningful business value, organizations need a foundation capable of aggregating, normalizing, governing, and securing data across the enterprise.
Building a Strong Data Foundation in the Age of AI
Artificial intelligence (AI) has become a key priority in the boardroom and across management —…
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The Data Challenge Facing Middle-Market Organizations
For many middle-market businesses, the challenge is not a lack of systems or data. Most organizations have more information than ever before. The problem is that data resides across ERP systems, CRM platforms, operational applications, spreadsheets, and departmental tools that were never designed to work together. As a result, reporting becomes fragmented, manual effort increases, and leadership often spends more time debating the numbers than acting on them.A modern data platform serves as a connective layer across the organization. It brings together data from multiple sources, standardizes definitions, applies governance and security controls, and creates a trusted foundation for reporting, analytics, automation, and AI. Importantly, it allows organizations to improve visibility and decision making without immediately taking on the cost, disruption, and risk of a large-scale ERP replacement.
Why a Data Platform Should Come Before ERP Modernization
Many legacy ERP systems struggle to support the needs of a growing business. Some lack the workflows, integrations, controls, and data structures required to provide meaningful operational visibility. In other cases, the ERP may not be capturing the information leadership truly needs to manage customers, inventory, projects, workforce productivity, or profitability. The result is often a growing dependence on spreadsheets, manual workarounds, and disconnected processes that reduce confidence in reporting and ultimately increase business risk. Over time, these become business issues rather than technology issues.
While ERP modernization may eventually be necessary, it is not always the right first step. A modern data platform can help organizations improve reporting immediately while providing clarity around where process, data, and technology gaps truly exist, ultimately making future ERP migrations easier and more successful. This is especially important for the Office of the CFO.
Transforming the Office of the CFO
Historically, finance teams have spent significant time performing what I often describe as forensic autopsies: reconciling data, investigating variances, and explaining what happened after the fact. While necessary, that is not where finance creates its greatest value.
Today’s CFO is expected to provide forward-looking insight, identify risks earlier, improve forecasting, support strategic decision making, and serve as a steward of business performance. Accomplishing that requires timely, trusted, and connected information.
A modern data platform helps shift finance from retrospective reporting to proactive business stewardship. Rather than waiting until month-end to understand performance, leaders can monitor trends in near real time, identify exceptions earlier, and make more informed decisions. Finance can spend less time collecting and validating information and more time providing insight to the business. This same foundation is what enables responsible AI.
Responsible AI Requires Strong Data Governance
Before organizations deploy AI to generate forecasts, analyze trends, summarize information, or support decision making, they must understand where data originates, how it is governed, who has access to it, and whether it can be trusted. Without that foundation, AI can introduce significant risk. Unstructured and ungoverned use of AI can expose sensitive information, create compliance concerns, generate inconsistent outputs, and ultimately lead to poor business decisions based on inaccurate or incomplete data.
The organizations that will derive the greatest value from AI will not necessarily be the ones that move the fastest. They will be the ones that establish the strongest data foundation.
For middle-market businesses, the path forward is clear. You do not always need to replace every system before you can modernize. But you do need to connect, govern, secure, and trust your data. A modern data platform can serve as the bridge between today’s systems and tomorrow’s capabilities, creating immediate business value while establishing the foundation for analytics, automation, and responsible AI.
In a world increasingly focused on AI, the real starting point is not the agent, the algorithm, or the newest technology. It is the data foundation that allows a business to trust the answer and safeguard the future.
Jory Weissman is a partner at Citrin Cooperman with over 25 years in the technology industry, consulting, designing, selling, supporting, and implementing solutions across a variety of technology platforms and applications.
“Citrin Cooperman” is the brand name under which Citrin Cooperman Advisors LLC and Citrin Cooperman & Company, LLP, independently owned entities, provide professional services in an alternative practice structure in accordance with applicable professional standards.
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