The CFO’s expanding role in AI: governance, strategy, and ROI in manufacturing

AI is quickly becoming a defining force in manufacturing. With 95 percent of manufacturers investing in or planning to invest in AI and machine learning in the next five years, leaders are moving past experimentation and into real operational initiatives. AI is reshaping forecasting, production, risk management and how leaders think about long-term competitiveness. As this shift gains speed, the CFO is becoming a central force in guiding disciplined adoption and measurable impact.

We see these conversations playing out in boardrooms and leadership meetings. What used to be viewed as a technology choice now requires financial judgment, strategic alignment and a steady hand. CFOs are helping companies balance excitement with evidence and momentum with control. It’s not about becoming an AI expert. It’s about understanding how AI strengthens the business and using that clarity to shape decisions with confidence.

Elevating AI to a strategic decision

CFOs are responsible for protecting enterprise value and guiding strategic direction. AI now sits squarely in that mandate. The Sikich Manufacturing Pulse also shows that leaders are preparing for growth. Operational efficiency (39 percent) was the top strategic priority. In addition, over half of respondents report consistent or increasing customer demand. Even more, 81 percent expect revenue growth this year, creating opportunities for targeted investments in capacity, supply chain optimization and technology enhancements.

These indicators point to a sector that is optimistic but disciplined, and CFOs are central to balancing ambition with responsible risk management. This is why manufacturing finance leaders want clear answers to strategic questions:

• How will AI shift the cost structure and margin profile
• Where can it create leverage across plants, supply chains and shared services
• How might it reinforce or challenge our competitive position
• What risks could it introduce to reporting accuracy, compliance or decision-making

These questions shape long-term performance. CFOs help teams move past vendor-driven enthusiasm and evaluate AI as part of a broader path toward intelligent automation. When AI is anchored to strategy, companies avoid fragmented investments and maintain a unified view of value and priorities.

Seeing AI as the next evolution of intelligent automation

Manufacturers already understand automation. They’ve invested in business intelligence, workflow optimization and advanced analytics. AI builds on these foundations. It offers new ways to interpret information, streamline processes and remove bottlenecks, but it still depends on clear processes and reliable data.

CFOs help teams evaluate AI opportunities with the same discipline they apply to other investments:

• What process is being improved
• What constraint is being removed
• What outcome will we measure

This perspective cuts through hype and keeps attention on what matters. AI can accelerate performance, but only when aligned to clear business objectives.

Start with governance, then shift to value

Boards expect CFOs to have a strong governance framework for AI. This includes data quality, security, access controls, model risk and regulatory implications. In manufacturing environments, these guardrails are essential.

But governance is the beginning, not the finish line. Once controls are in place, the focus moves to impact. CFOs guide teams to prioritize AI initiatives that tie directly to measurable outcomes, allocate funding based on enterprise value and review progress with transparency. Often, the most meaningful wins are smaller improvements: better demand forecasting, reduced downtime or more efficient close cycles. They compound quickly.

Applying a manufacturing mindset to AI

Manufacturers are used to thinking in systems. They understand how one change affects the whole. AI fits naturally into this mindset. It doesn’t replace the system. It strengthens it.

When used well, AI can:

• Improve throughput
• Reveal insights buried in operational data
• Reduce planning and execution variability
• Support better, faster decision-making at every level

But if it’s implemented without integration or purpose, AI can create new bottlenecks. CFO involvement ensures AI aligns with operating models and makes the system stronger, not more complex.

Making investment decisions in an uncertain landscape

The rapid pace of AI innovation creates uncertainty, which makes capital allocation even more important. Boards often look to CFOs to answer questions like:

• What should we invest in right now
• What should we monitor before committing
• How do we avoid over investing in technologies that may not mature
• What does acceptable early ROI look like

Economic data helps explain why these decisions remain difficult. Roughly 40 percent of workers across Western economies report using AI, with about 13 percent of those users relying on it daily. In practice, AI accounts for 5 to 6 percent or 2 hours of total work hours, and workers report 15 to 30 percent efficiency gains on those tasks. Meaningful, but not yet transformative.

This gap highlights an important reality for CFOs. Early AI value tends to come from narrow use cases rather than broad operational change. Sustained productivity gains occur when organizations reorganize how work gets done and begin adapting their business models around new capabilities. There is also risk in standing still. Organizations that do not experiment or build AI readiness today may find it difficult to catch up when disruption accelerates. Without cloud-based tools and well-organized data, it becomes harder to unlock the efficiencies AI can deliver. Readiness is as much about agility and foundation as it is about technology.

Preparing teams for what comes next

AI adoption changes roles, responsibilities and decision-making expectations. CFOs help maintain accountability and discipline as companies navigate these shifts. This includes defining decision rights and ensuring leaders understand how AI-driven insights should inform judgment. As AI becomes more embedded, CFOs will face new questions about how insights should influence financial decisions.

From oversight to leadership

The CFO’s role in AI now spans strategy, operations, risk and investment. For manufacturing companies, this is an opportunity. CFOs who lead early and with intention help the company move faster and with more confidence. They protect enterprise value and encourage innovation while keeping teams grounded in what works.

AI may rely on complex models, but its success depends on leadership. And increasingly, that leadership starts with the CFO.

Ready to take the lead on AI?

Join us on April 7 at Noon CT for the first episode of our candid, conversation-driven series built specifically for manufacturing leaders in finance and operations:

AI off the record: a CFO’s playbook

If AI is showing up in board discussions or shaping your planning cycles, this session will help you separate what is real from what is hype so you can focus on the decisions that matter.

Register here.